diff options
Diffstat (limited to 'bench')
84 files changed, 1680 insertions, 426 deletions
diff --git a/bench/BenchTimer.h b/bench/BenchTimer.h index ea28496b7..8a0dbbe81 100644 --- a/bench/BenchTimer.h +++ b/bench/BenchTimer.h @@ -28,11 +28,15 @@ #endif static void escape(void *p) { +#if EIGEN_COMP_GNUC || EIGEN_COMP_CLANG asm volatile("" : : "g"(p) : "memory"); +#endif } static void clobber() { +#if EIGEN_COMP_GNUC || EIGEN_COMP_CLANG asm volatile("" : : : "memory"); +#endif } #include <Eigen/Core> diff --git a/bench/analyze-blocking-sizes.cpp b/bench/analyze-blocking-sizes.cpp index d563a1d2d..6bc4aca3d 100644 --- a/bench/analyze-blocking-sizes.cpp +++ b/bench/analyze-blocking-sizes.cpp @@ -825,7 +825,7 @@ int main(int argc, char* argv[]) } for (int i = 1; i < argc; i++) { bool arg_handled = false; - // Step 1. Try to match action invokation names. + // Step 1. Try to match action invocation names. for (auto it = available_actions.begin(); it != available_actions.end(); ++it) { if (!strcmp(argv[i], (*it)->invokation_name())) { if (!action) { diff --git a/bench/basicbenchmark.h b/bench/basicbenchmark.h index 3fdc35732..8059375b5 100644 --- a/bench/basicbenchmark.h +++ b/bench/basicbenchmark.h @@ -16,13 +16,13 @@ void benchBasic_loop(const MatrixType& I, MatrixType& m, int iterations) { asm("#begin_bench_loop LazyEval"); if (MatrixType::SizeAtCompileTime!=Eigen::Dynamic) asm("#fixedsize"); - m = (I + 0.00005 * (m + m.lazy() * m)).eval(); + m = (I + 0.00005 * (m + m.lazyProduct(m))).eval(); } else if (Mode==OmpEval) { asm("#begin_bench_loop OmpEval"); if (MatrixType::SizeAtCompileTime!=Eigen::Dynamic) asm("#fixedsize"); - m = (I + 0.00005 * (m + m.lazy() * m)).evalOMP(); + m = (I + 0.00005 * (m + m.lazyProduct(m))).eval(); } else { diff --git a/bench/benchCholesky.cpp b/bench/benchCholesky.cpp index 9a8e7cf63..0dc94e5b4 100644 --- a/bench/benchCholesky.cpp +++ b/bench/benchCholesky.cpp @@ -1,5 +1,4 @@ - -// g++ -DNDEBUG -O3 -I.. benchLLT.cpp -o benchLLT && ./benchLLT +// g++ -DNDEBUG -O3 -I.. benchCholesky.cpp -o benchCholesky && ./benchCholesky // options: // -DBENCH_GSL -lgsl /usr/lib/libcblas.so.3 // -DEIGEN_DONT_VECTORIZE diff --git a/bench/bench_gemm.cpp b/bench/bench_gemm.cpp index 8528c5587..78ca1cd13 100644 --- a/bench/bench_gemm.cpp +++ b/bench/bench_gemm.cpp @@ -11,8 +11,9 @@ // #include <iostream> -#include <Eigen/Core> #include <bench/BenchTimer.h> +#include <Eigen/Core> + using namespace std; using namespace Eigen; @@ -30,10 +31,22 @@ using namespace Eigen; #define SCALARB SCALAR #endif +#ifdef ROWMAJ_A +const int opt_A = RowMajor; +#else +const int opt_A = ColMajor; +#endif + +#ifdef ROWMAJ_B +const int opt_B = RowMajor; +#else +const int opt_B = ColMajor; +#endif + typedef SCALAR Scalar; typedef NumTraits<Scalar>::Real RealScalar; -typedef Matrix<SCALARA,Dynamic,Dynamic> A; -typedef Matrix<SCALARB,Dynamic,Dynamic> B; +typedef Matrix<SCALARA,Dynamic,Dynamic,opt_A> A; +typedef Matrix<SCALARB,Dynamic,Dynamic,opt_B> B; typedef Matrix<Scalar,Dynamic,Dynamic> C; typedef Matrix<RealScalar,Dynamic,Dynamic> M; @@ -58,45 +71,61 @@ static char lower = 'L'; static char right = 'R'; static int intone = 1; -void blas_gemm(const MatrixXf& a, const MatrixXf& b, MatrixXf& c) +#ifdef ROWMAJ_A +const char transA = trans; +#else +const char transA = notrans; +#endif + +#ifdef ROWMAJ_B +const char transB = trans; +#else +const char transB = notrans; +#endif + +template<typename A,typename B> +void blas_gemm(const A& a, const B& b, MatrixXf& c) { int M = c.rows(); int N = c.cols(); int K = a.cols(); - int lda = a.rows(); int ldb = b.rows(); int ldc = c.rows(); + int lda = a.outerStride(); int ldb = b.outerStride(); int ldc = c.rows(); - sgemm_(¬rans,¬rans,&M,&N,&K,&fone, + sgemm_(&transA,&transB,&M,&N,&K,&fone, const_cast<float*>(a.data()),&lda, const_cast<float*>(b.data()),&ldb,&fone, c.data(),&ldc); } -EIGEN_DONT_INLINE void blas_gemm(const MatrixXd& a, const MatrixXd& b, MatrixXd& c) +template<typename A,typename B> +void blas_gemm(const A& a, const B& b, MatrixXd& c) { int M = c.rows(); int N = c.cols(); int K = a.cols(); - int lda = a.rows(); int ldb = b.rows(); int ldc = c.rows(); + int lda = a.outerStride(); int ldb = b.outerStride(); int ldc = c.rows(); - dgemm_(¬rans,¬rans,&M,&N,&K,&done, + dgemm_(&transA,&transB,&M,&N,&K,&done, const_cast<double*>(a.data()),&lda, const_cast<double*>(b.data()),&ldb,&done, c.data(),&ldc); } -void blas_gemm(const MatrixXcf& a, const MatrixXcf& b, MatrixXcf& c) +template<typename A,typename B> +void blas_gemm(const A& a, const B& b, MatrixXcf& c) { int M = c.rows(); int N = c.cols(); int K = a.cols(); - int lda = a.rows(); int ldb = b.rows(); int ldc = c.rows(); + int lda = a.outerStride(); int ldb = b.outerStride(); int ldc = c.rows(); - cgemm_(¬rans,¬rans,&M,&N,&K,(float*)&cfone, + cgemm_(&transA,&transB,&M,&N,&K,(float*)&cfone, const_cast<float*>((const float*)a.data()),&lda, const_cast<float*>((const float*)b.data()),&ldb,(float*)&cfone, (float*)c.data(),&ldc); } -void blas_gemm(const MatrixXcd& a, const MatrixXcd& b, MatrixXcd& c) +template<typename A,typename B> +void blas_gemm(const A& a, const B& b, MatrixXcd& c) { int M = c.rows(); int N = c.cols(); int K = a.cols(); - int lda = a.rows(); int ldb = b.rows(); int ldc = c.rows(); + int lda = a.outerStride(); int ldb = b.outerStride(); int ldc = c.rows(); - zgemm_(¬rans,¬rans,&M,&N,&K,(double*)&cdone, + zgemm_(&transA,&transB,&M,&N,&K,(double*)&cdone, const_cast<double*>((const double*)a.data()),&lda, const_cast<double*>((const double*)b.data()),&ldb,(double*)&cdone, (double*)c.data(),&ldc); @@ -112,6 +141,7 @@ void matlab_cplx_cplx(const M& ar, const M& ai, const M& br, const M& bi, M& cr, cr.noalias() -= ai * bi; ci.noalias() += ar * bi; ci.noalias() += ai * br; + // [cr ci] += [ar ai] * br + [-ai ar] * bi } void matlab_real_cplx(const M& a, const M& br, const M& bi, M& cr, M& ci) @@ -126,10 +156,12 @@ void matlab_cplx_real(const M& ar, const M& ai, const M& b, M& cr, M& ci) ci.noalias() += ai * b; } + + template<typename A, typename B, typename C> EIGEN_DONT_INLINE void gemm(const A& a, const B& b, C& c) { - c.noalias() += a * b; + c.noalias() += a * b; } int main(int argc, char ** argv) @@ -179,8 +211,8 @@ int main(int argc, char ** argv) } else if(argv[i][1]=='t') { + tries = atoi(argv[++i]); ++i; - tries = atoi(argv[i++]); } else if(argv[i][1]=='p') { @@ -216,7 +248,7 @@ int main(int argc, char ** argv) std::cout << "Matrix sizes = " << m << "x" << p << " * " << p << "x" << n << "\n"; std::ptrdiff_t mc(m), nc(n), kc(p); internal::computeProductBlockingSizes<Scalar,Scalar>(kc, mc, nc); - std::cout << "blocking size (mc x kc) = " << mc << " x " << kc << "\n"; + std::cout << "blocking size (mc x kc) = " << mc << " x " << kc << " x " << nc << "\n"; C r = c; @@ -240,7 +272,7 @@ int main(int argc, char ** argv) blas_gemm(a,b,r); c.noalias() += a * b; if(!r.isApprox(c)) { - std::cout << r - c << "\n"; + std::cout << (r - c).norm()/r.norm() << "\n"; std::cerr << "Warning, your product is crap!\n\n"; } #else @@ -249,7 +281,7 @@ int main(int argc, char ** argv) gemm(a,b,c); r.noalias() += a.cast<Scalar>() .lazyProduct( b.cast<Scalar>() ); if(!r.isApprox(c)) { - std::cout << r - c << "\n"; + std::cout << (r - c).norm()/r.norm() << "\n"; std::cerr << "Warning, your product is crap!\n\n"; } } @@ -263,6 +295,9 @@ int main(int argc, char ** argv) std::cout << "blas real " << tblas.best(REAL_TIMER)/rep << "s \t" << (double(m)*n*p*rep*2/tblas.best(REAL_TIMER))*1e-9 << " GFLOPS \t(" << tblas.total(REAL_TIMER) << "s)\n"; #endif + // warm start + if(b.norm()+a.norm()==123.554) std::cout << "\n"; + BenchTimer tmt; c = rc; BENCH(tmt, tries, rep, gemm(a,b,c)); @@ -285,11 +320,11 @@ int main(int argc, char ** argv) if(1.*m*n*p<30*30*30) { - BenchTimer tmt; - c = rc; - BENCH(tmt, tries, rep, c.noalias()+=a.lazyProduct(b)); - std::cout << "lazy cpu " << tmt.best(CPU_TIMER)/rep << "s \t" << (double(m)*n*p*rep*2/tmt.best(CPU_TIMER))*1e-9 << " GFLOPS \t(" << tmt.total(CPU_TIMER) << "s)\n"; - std::cout << "lazy real " << tmt.best(REAL_TIMER)/rep << "s \t" << (double(m)*n*p*rep*2/tmt.best(REAL_TIMER))*1e-9 << " GFLOPS \t(" << tmt.total(REAL_TIMER) << "s)\n"; + BenchTimer tmt; + c = rc; + BENCH(tmt, tries, rep, c.noalias()+=a.lazyProduct(b)); + std::cout << "lazy cpu " << tmt.best(CPU_TIMER)/rep << "s \t" << (double(m)*n*p*rep*2/tmt.best(CPU_TIMER))*1e-9 << " GFLOPS \t(" << tmt.total(CPU_TIMER) << "s)\n"; + std::cout << "lazy real " << tmt.best(REAL_TIMER)/rep << "s \t" << (double(m)*n*p*rep*2/tmt.best(REAL_TIMER))*1e-9 << " GFLOPS \t(" << tmt.total(REAL_TIMER) << "s)\n"; } #ifdef DECOUPLED diff --git a/bench/bench_move_semantics.cpp b/bench/bench_move_semantics.cpp new file mode 100644 index 000000000..323d80417 --- /dev/null +++ b/bench/bench_move_semantics.cpp @@ -0,0 +1,57 @@ +// This file is part of Eigen, a lightweight C++ template library +// for linear algebra. +// +// Copyright (C) 2020 Sebastien Boisvert <seb@boisvert.info> +// +// This Source Code Form is subject to the terms of the Mozilla +// Public License v. 2.0. If a copy of the MPL was not distributed +// with this file, You can obtain one at http://mozilla.org/MPL/2.0/. + +#include "BenchTimer.h" +#include "../test/MovableScalar.h" + +#include <Eigen/Core> + +#include <iostream> +#include <utility> + +template <typename MatrixType> +void copy_matrix(MatrixType& m) +{ + MatrixType tmp(m); + m = tmp; +} + +template <typename MatrixType> +void move_matrix(MatrixType&& m) +{ + MatrixType tmp(std::move(m)); + m = std::move(tmp); +} + +template<typename Scalar> +void bench(const std::string& label) +{ + using MatrixType = Eigen::Matrix<Eigen::MovableScalar<Scalar>,1,10>; + Eigen::BenchTimer t; + + int tries = 10; + int rep = 1000000; + + MatrixType data = MatrixType::Random().eval(); + MatrixType dest; + + BENCH(t, tries, rep, copy_matrix(data)); + std::cout << label << " copy semantics: " << 1e3*t.best(Eigen::CPU_TIMER) << " ms" << std::endl; + + BENCH(t, tries, rep, move_matrix(std::move(data))); + std::cout << label << " move semantics: " << 1e3*t.best(Eigen::CPU_TIMER) << " ms" << std::endl; +} + +int main() +{ + bench<float>("float"); + bench<double>("double"); + return 0; +} + diff --git a/bench/bench_norm.cpp b/bench/bench_norm.cpp index 129afcfb2..592f25d66 100644 --- a/bench/bench_norm.cpp +++ b/bench/bench_norm.cpp @@ -111,12 +111,12 @@ EIGEN_DONT_INLINE typename T::Scalar pblueNorm(const T& v) int nbig, ibeta, it, iemin, iemax, iexp; Scalar abig, eps; - nbig = std::numeric_limits<int>::max(); // largest integer - ibeta = std::numeric_limits<Scalar>::radix; //NumTraits<Scalar>::Base; // base for floating-point numbers - it = std::numeric_limits<Scalar>::digits; //NumTraits<Scalar>::Mantissa; // number of base-beta digits in mantissa - iemin = std::numeric_limits<Scalar>::min_exponent; // minimum exponent - iemax = std::numeric_limits<Scalar>::max_exponent; // maximum exponent - rbig = std::numeric_limits<Scalar>::max(); // largest floating-point number + nbig = NumTraits<int>::highest(); // largest integer + ibeta = std::numeric_limits<Scalar>::radix; // NumTraits<Scalar>::Base; // base for floating-point numbers + it = NumTraits<Scalar>::digits(); // NumTraits<Scalar>::Mantissa; // number of base-beta digits in mantissa + iemin = NumTraits<Scalar>::min_exponent(); // minimum exponent + iemax = NumTraits<Scalar>::max_exponent(); // maximum exponent + rbig = NumTraits<Scalar>::highest(); // largest floating-point number // Check the basic machine-dependent constants. if(iemin > 1 - 2*it || 1+it>iemax || (it==2 && ibeta<5) @@ -134,7 +134,7 @@ EIGEN_DONT_INLINE typename T::Scalar pblueNorm(const T& v) iexp = - ((iemax+it)/2); s2m = std::pow(ibeta,iexp); // scaling factor for upper range - overfl = rbig*s2m; // overfow boundary for abig + overfl = rbig*s2m; // overflow boundary for abig eps = std::pow(ibeta, 1-it); relerr = std::sqrt(eps); // tolerance for neglecting asml abig = 1.0/eps - 1.0; diff --git a/bench/btl/CMakeLists.txt b/bench/btl/CMakeLists.txt index 38ff9f483..42094e867 100644 --- a/bench/btl/CMakeLists.txt +++ b/bench/btl/CMakeLists.txt @@ -1,35 +1,35 @@ -PROJECT(BTL) +project(BTL) -CMAKE_MINIMUM_REQUIRED(VERSION 2.6.2) +cmake_minimum_required(VERSION 2.6.2) set(CMAKE_MODULE_PATH ${PROJECT_SOURCE_DIR}/cmake ${Eigen_SOURCE_DIR}/cmake) include(MacroOptionalAddSubdirectory) -OPTION(BTL_NOVEC "Disable SSE/Altivec optimizations when possible" OFF) +option(BTL_NOVEC "Disable SSE/Altivec optimizations when possible" OFF) -SET(CMAKE_INCLUDE_CURRENT_DIR ON) +set(CMAKE_INCLUDE_CURRENT_DIR ON) string(REGEX MATCH icpc IS_ICPC ${CMAKE_CXX_COMPILER}) -IF(CMAKE_COMPILER_IS_GNUCXX OR IS_ICPC) - SET(CMAKE_CXX_FLAGS "-g0 -O3 -DNDEBUG ${CMAKE_CXX_FLAGS}") - SET(CMAKE_Fortran_FLAGS "-g0 -O3 -DNDEBUG ${CMAKE_Fortran_FLAGS}") - IF(BTL_NOVEC) - SET(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -DEIGEN_DONT_VECTORIZE") - ENDIF(BTL_NOVEC) -ENDIF(CMAKE_COMPILER_IS_GNUCXX OR IS_ICPC) - -IF(MSVC) - SET(CMAKE_CXX_FLAGS " /O2 /Ot /GL /fp:fast -DNDEBUG") -# SET(CMAKE_Fortran_FLAGS "-g0 -O3 -DNDEBUG") - IF(BTL_NOVEC) - SET(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -DEIGEN_DONT_VECTORIZE") - ENDIF(BTL_NOVEC) -ENDIF(MSVC) +if(CMAKE_COMPILER_IS_GNUCXX OR IS_ICPC) + set(CMAKE_CXX_FLAGS "-g0 -O3 -DNDEBUG ${CMAKE_CXX_FLAGS}") + set(CMAKE_Fortran_FLAGS "-g0 -O3 -DNDEBUG ${CMAKE_Fortran_FLAGS}") + if(BTL_NOVEC) + set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -DEIGEN_DONT_VECTORIZE") + endif(BTL_NOVEC) +endif(CMAKE_COMPILER_IS_GNUCXX OR IS_ICPC) + +if(MSVC) + set(CMAKE_CXX_FLAGS " /O2 /Ot /GL /fp:fast -DNDEBUG") +# set(CMAKE_Fortran_FLAGS "-g0 -O3 -DNDEBUG") + if(BTL_NOVEC) + set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -DEIGEN_DONT_VECTORIZE") + endif(BTL_NOVEC) +endif(MSVC) if(IS_ICPC) set(CMAKE_CXX_FLAGS "-fast ${CMAKE_CXX_FLAGS}") set(CMAKE_Fortran_FLAGS "-fast ${CMAKE_Fortran_FLAGS}") -endif(IS_ICPC) +endif() include_directories( ${PROJECT_SOURCE_DIR}/actions @@ -41,7 +41,7 @@ include_directories( # if (MKL_FOUND) # add_definitions(-DHAVE_MKL) # set(DEFAULT_LIBRARIES ${MKL_LIBRARIES}) -# endif (MKL_FOUND) +# endif () find_library(EIGEN_BTL_RT_LIBRARY rt) # if we cannot find it easily, then we don't need it! @@ -49,11 +49,11 @@ if(NOT EIGEN_BTL_RT_LIBRARY) set(EIGEN_BTL_RT_LIBRARY "") endif() -MACRO(BTL_ADD_BENCH targetname) +macro(BTL_ADD_BENCH targetname) foreach(_current_var ${ARGN}) set(_last_var ${_current_var}) - endforeach(_current_var) + endforeach() set(_sources ${ARGN}) list(LENGTH _sources _argn_length) @@ -64,17 +64,17 @@ MACRO(BTL_ADD_BENCH targetname) if (${_argn_length} EQUAL ${_src_length}) set(_last_var ON) - endif (${_argn_length} EQUAL ${_src_length}) + endif () - OPTION(BUILD_${targetname} "Build benchmark ${targetname}" ${_last_var}) + option(BUILD_${targetname} "Build benchmark ${targetname}" ${_last_var}) - IF(BUILD_${targetname}) - ADD_EXECUTABLE(${targetname} ${_sources}) - ADD_TEST(${targetname} "${targetname}") + if(BUILD_${targetname}) + add_executable(${targetname} ${_sources}) + add_test(${targetname} "${targetname}") target_link_libraries(${targetname} ${DEFAULT_LIBRARIES} ${EIGEN_BTL_RT_LIBRARY}) - ENDIF(BUILD_${targetname}) + endif(BUILD_${targetname}) -ENDMACRO(BTL_ADD_BENCH) +endmacro(BTL_ADD_BENCH) macro(btl_add_target_property target prop value) @@ -86,9 +86,9 @@ macro(btl_add_target_property target prop value) set_target_properties(${target} PROPERTIES ${prop} "${previous} ${value}") endif() -endmacro(btl_add_target_property) +endmacro() -ENABLE_TESTING() +enable_testing() add_subdirectory(libs/eigen3) add_subdirectory(libs/eigen2) diff --git a/bench/btl/README b/bench/btl/README index f3f5fb36f..ebed88960 100644 --- a/bench/btl/README +++ b/bench/btl/README @@ -36,7 +36,7 @@ For instance: You can also select a given set of actions defining the environment variable BTL_CONFIG this way: BTL_CONFIG="-a action1{:action2}*" ctest -V -An exemple: +An example: BTL_CONFIG="-a axpy:vector_matrix:trisolve:ata" ctest -V -R eigen2 Finally, if bench results already exist (the bench*.dat files) then they merges by keeping the best for each matrix size. If you want to overwrite the previous ones you can simply add the "--overwrite" option: diff --git a/bench/btl/actions/basic_actions.hh b/bench/btl/actions/basic_actions.hh index a3333ea26..62442f01f 100644 --- a/bench/btl/actions/basic_actions.hh +++ b/bench/btl/actions/basic_actions.hh @@ -6,7 +6,7 @@ #include "action_atv_product.hh" #include "action_matrix_matrix_product.hh" -// #include "action_ata_product.hh" +#include "action_ata_product.hh" #include "action_aat_product.hh" #include "action_trisolve.hh" diff --git a/bench/btl/cmake/FindACML.cmake b/bench/btl/cmake/FindACML.cmake index 4989fa2f4..daeeb535d 100644 --- a/bench/btl/cmake/FindACML.cmake +++ b/bench/btl/cmake/FindACML.cmake @@ -1,7 +1,7 @@ if (ACML_LIBRARIES) set(ACML_FIND_QUIETLY TRUE) -endif (ACML_LIBRARIES) +endif () find_library(ACML_LIBRARIES NAMES diff --git a/bench/btl/cmake/FindATLAS.cmake b/bench/btl/cmake/FindATLAS.cmake index 4136a989d..572a4c0b2 100644 --- a/bench/btl/cmake/FindATLAS.cmake +++ b/bench/btl/cmake/FindATLAS.cmake @@ -1,7 +1,7 @@ if (ATLAS_LIBRARIES) set(ATLAS_FIND_QUIETLY TRUE) -endif (ATLAS_LIBRARIES) +endif () find_file(ATLAS_LIB libatlas.so.3 PATHS /usr/lib /usr/lib/atlas /usr/lib64 /usr/lib64/atlas $ENV{ATLASDIR} ${LIB_INSTALL_DIR}) find_library(ATLAS_LIB satlas PATHS $ENV{ATLASDIR} ${LIB_INSTALL_DIR}) @@ -23,7 +23,7 @@ if(ATLAS_LIB AND ATLAS_CBLAS AND ATLAS_LAPACK AND ATLAS_F77BLAS) # set(ATLAS_LIBRARIES ${ATLAS_LIBRARIES} ${ATLAS_REFERENCE_LAPACK}) # endif() -endif(ATLAS_LIB AND ATLAS_CBLAS AND ATLAS_LAPACK AND ATLAS_F77BLAS) +endif() include(FindPackageHandleStandardArgs) find_package_handle_standard_args(ATLAS DEFAULT_MSG ATLAS_LIBRARIES) diff --git a/bench/btl/cmake/FindBLAZE.cmake b/bench/btl/cmake/FindBLAZE.cmake index dba4c89f2..18a878ff9 100644 --- a/bench/btl/cmake/FindBLAZE.cmake +++ b/bench/btl/cmake/FindBLAZE.cmake @@ -15,7 +15,7 @@ if (BLAZE_INCLUDE_DIR) # in cache already set(BLAZE_FOUND TRUE) -else (BLAZE_INCLUDE_DIR) +else () find_path(BLAZE_INCLUDE_DIR NAMES blaze/Blaze.h PATHS @@ -27,5 +27,5 @@ find_package_handle_standard_args(BLAZE DEFAULT_MSG BLAZE_INCLUDE_DIR) mark_as_advanced(BLAZE_INCLUDE_DIR) -endif(BLAZE_INCLUDE_DIR) +endif() diff --git a/bench/btl/cmake/FindBlitz.cmake b/bench/btl/cmake/FindBlitz.cmake index 92880bbed..7ab375fd8 100644 --- a/bench/btl/cmake/FindBlitz.cmake +++ b/bench/btl/cmake/FindBlitz.cmake @@ -15,7 +15,7 @@ if (BLITZ_INCLUDES AND BLITZ_LIBRARIES) set(Blitz_FIND_QUIETLY TRUE) -endif (BLITZ_INCLUDES AND BLITZ_LIBRARIES) +endif () find_path(BLITZ_INCLUDES NAMES diff --git a/bench/btl/cmake/FindCBLAS.cmake b/bench/btl/cmake/FindCBLAS.cmake index ce0f2f2b2..43a90f7f6 100644 --- a/bench/btl/cmake/FindCBLAS.cmake +++ b/bench/btl/cmake/FindCBLAS.cmake @@ -2,7 +2,7 @@ if (CBLAS_INCLUDES AND CBLAS_LIBRARIES) set(CBLAS_FIND_QUIETLY TRUE) -endif (CBLAS_INCLUDES AND CBLAS_LIBRARIES) +endif () find_path(CBLAS_INCLUDES NAMES diff --git a/bench/btl/cmake/FindGMM.cmake b/bench/btl/cmake/FindGMM.cmake index 5049c64ed..ff45e6a0c 100644 --- a/bench/btl/cmake/FindGMM.cmake +++ b/bench/btl/cmake/FindGMM.cmake @@ -1,7 +1,7 @@ if (GMM_INCLUDE_DIR) # in cache already set(GMM_FOUND TRUE) -else (GMM_INCLUDE_DIR) +else () find_path(GMM_INCLUDE_DIR NAMES gmm/gmm.h PATHS @@ -14,4 +14,4 @@ FIND_PACKAGE_HANDLE_STANDARD_ARGS(GMM DEFAULT_MSG GMM_INCLUDE_DIR ) mark_as_advanced(GMM_INCLUDE_DIR) -endif(GMM_INCLUDE_DIR) +endif() diff --git a/bench/btl/cmake/FindMKL.cmake b/bench/btl/cmake/FindMKL.cmake index f4d7c6ebe..23e77279a 100644 --- a/bench/btl/cmake/FindMKL.cmake +++ b/bench/btl/cmake/FindMKL.cmake @@ -1,7 +1,7 @@ if (MKL_LIBRARIES) set(MKL_FIND_QUIETLY TRUE) -endif (MKL_LIBRARIES) +endif () if(CMAKE_MINOR_VERSION GREATER 4) @@ -30,7 +30,7 @@ if(MKL_LIBRARIES AND MKL_GUIDE) set(MKL_LIBRARIES ${MKL_LIBRARIES} mkl_intel_lp64 mkl_sequential ${MKL_GUIDE} pthread) endif() -else(${CMAKE_HOST_SYSTEM_PROCESSOR} STREQUAL "x86_64") +else() find_library(MKL_LIBRARIES mkl_core @@ -55,9 +55,9 @@ if(MKL_LIBRARIES AND MKL_GUIDE) set(MKL_LIBRARIES ${MKL_LIBRARIES} mkl_intel mkl_sequential ${MKL_GUIDE} pthread) endif() -endif(${CMAKE_HOST_SYSTEM_PROCESSOR} STREQUAL "x86_64") +endif() -endif(CMAKE_MINOR_VERSION GREATER 4) +endif() include(FindPackageHandleStandardArgs) find_package_handle_standard_args(MKL DEFAULT_MSG MKL_LIBRARIES) diff --git a/bench/btl/cmake/FindMTL4.cmake b/bench/btl/cmake/FindMTL4.cmake index 3de490980..1bafc93a6 100644 --- a/bench/btl/cmake/FindMTL4.cmake +++ b/bench/btl/cmake/FindMTL4.cmake @@ -15,7 +15,7 @@ if (MTL4_INCLUDE_DIR) # in cache already set(MTL4_FOUND TRUE) -else (MTL4_INCLUDE_DIR) +else () find_path(MTL4_INCLUDE_DIR NAMES boost/numeric/mtl/mtl.hpp PATHS @@ -27,5 +27,5 @@ find_package_handle_standard_args(MTL4 DEFAULT_MSG MTL4_INCLUDE_DIR) mark_as_advanced(MTL4_INCLUDE_DIR) -endif(MTL4_INCLUDE_DIR) +endif() diff --git a/bench/btl/cmake/FindOPENBLAS.cmake b/bench/btl/cmake/FindOPENBLAS.cmake index 2a0919436..5c0762306 100644 --- a/bench/btl/cmake/FindOPENBLAS.cmake +++ b/bench/btl/cmake/FindOPENBLAS.cmake @@ -1,7 +1,7 @@ if (OPENBLAS_LIBRARIES) set(OPENBLAS_FIND_QUIETLY TRUE) -endif (OPENBLAS_LIBRARIES) +endif () find_file(OPENBLAS_LIBRARIES NAMES libopenblas.so libopenblas.so.0 PATHS /usr/lib /usr/lib64 $ENV{OPENBLASDIR} ${LIB_INSTALL_DIR}) find_library(OPENBLAS_LIBRARIES openblas PATHS $ENV{OPENBLASDIR} ${LIB_INSTALL_DIR}) diff --git a/bench/btl/cmake/FindPackageHandleStandardArgs.cmake b/bench/btl/cmake/FindPackageHandleStandardArgs.cmake index 7f122edcd..05d7e65bd 100644 --- a/bench/btl/cmake/FindPackageHandleStandardArgs.cmake +++ b/bench/btl/cmake/FindPackageHandleStandardArgs.cmake @@ -1,7 +1,7 @@ # FIND_PACKAGE_HANDLE_STANDARD_ARGS(NAME (DEFAULT_MSG|"Custom failure message") VAR1 ... ) # # This macro is intended to be used in FindXXX.cmake modules files. -# It handles the REQUIRED and QUIET argument to FIND_PACKAGE() and +# It handles the REQUIRED and QUIET argument to find_package() and # it also sets the <UPPERCASED_NAME>_FOUND variable. # The package is found if all variables listed are TRUE. # Example: @@ -19,42 +19,42 @@ # be "Could NOT find LibXml2", if you don't like this message you can specify # your own custom failure message there. -MACRO(FIND_PACKAGE_HANDLE_STANDARD_ARGS _NAME _FAIL_MSG _VAR1 ) +macro(FIND_PACKAGE_HANDLE_STANDARD_ARGS _NAME _FAIL_MSG _VAR1 ) - IF("${_FAIL_MSG}" STREQUAL "DEFAULT_MSG") - IF (${_NAME}_FIND_REQUIRED) - SET(_FAIL_MESSAGE "Could not find REQUIRED package ${_NAME}") - ELSE (${_NAME}_FIND_REQUIRED) - SET(_FAIL_MESSAGE "Could not find OPTIONAL package ${_NAME}") - ENDIF (${_NAME}_FIND_REQUIRED) - ELSE("${_FAIL_MSG}" STREQUAL "DEFAULT_MSG") - SET(_FAIL_MESSAGE "${_FAIL_MSG}") - ENDIF("${_FAIL_MSG}" STREQUAL "DEFAULT_MSG") + if("${_FAIL_MSG}" STREQUAL "DEFAULT_MSG") + if (${_NAME}_FIND_REQUIRED) + set(_FAIL_MESSAGE "Could not find REQUIRED package ${_NAME}") + else (${_NAME}_FIND_REQUIRED) + set(_FAIL_MESSAGE "Could not find OPTIONAL package ${_NAME}") + endif (${_NAME}_FIND_REQUIRED) + else("${_FAIL_MSG}" STREQUAL "DEFAULT_MSG") + set(_FAIL_MESSAGE "${_FAIL_MSG}") + endif("${_FAIL_MSG}" STREQUAL "DEFAULT_MSG") - STRING(TOUPPER ${_NAME} _NAME_UPPER) + string(TOUPPER ${_NAME} _NAME_UPPER) - SET(${_NAME_UPPER}_FOUND TRUE) - IF(NOT ${_VAR1}) - SET(${_NAME_UPPER}_FOUND FALSE) - ENDIF(NOT ${_VAR1}) + set(${_NAME_UPPER}_FOUND TRUE) + if(NOT ${_VAR1}) + set(${_NAME_UPPER}_FOUND FALSE) + endif(NOT ${_VAR1}) - FOREACH(_CURRENT_VAR ${ARGN}) - IF(NOT ${_CURRENT_VAR}) - SET(${_NAME_UPPER}_FOUND FALSE) - ENDIF(NOT ${_CURRENT_VAR}) - ENDFOREACH(_CURRENT_VAR) + foreach(_CURRENT_VAR ${ARGN}) + if(NOT ${_CURRENT_VAR}) + set(${_NAME_UPPER}_FOUND FALSE) + endif(NOT ${_CURRENT_VAR}) + endforeach(_CURRENT_VAR) - IF (${_NAME_UPPER}_FOUND) - IF (NOT ${_NAME}_FIND_QUIETLY) - MESSAGE(STATUS "Found ${_NAME}: ${${_VAR1}}") - ENDIF (NOT ${_NAME}_FIND_QUIETLY) - ELSE (${_NAME_UPPER}_FOUND) - IF (${_NAME}_FIND_REQUIRED) - MESSAGE(FATAL_ERROR "${_FAIL_MESSAGE}") - ELSE (${_NAME}_FIND_REQUIRED) - IF (NOT ${_NAME}_FIND_QUIETLY) - MESSAGE(STATUS "${_FAIL_MESSAGE}") - ENDIF (NOT ${_NAME}_FIND_QUIETLY) - ENDIF (${_NAME}_FIND_REQUIRED) - ENDIF (${_NAME_UPPER}_FOUND) -ENDMACRO(FIND_PACKAGE_HANDLE_STANDARD_ARGS) + if (${_NAME_UPPER}_FOUND) + if (NOT ${_NAME}_FIND_QUIETLY) + message(STATUS "Found ${_NAME}: ${${_VAR1}}") + endif (NOT ${_NAME}_FIND_QUIETLY) + else (${_NAME_UPPER}_FOUND) + if (${_NAME}_FIND_REQUIRED) + message(FATAL_ERROR "${_FAIL_MESSAGE}") + else (${_NAME}_FIND_REQUIRED) + if (NOT ${_NAME}_FIND_QUIETLY) + message(STATUS "${_FAIL_MESSAGE}") + endif (NOT ${_NAME}_FIND_QUIETLY) + endif (${_NAME}_FIND_REQUIRED) + endif (${_NAME_UPPER}_FOUND) +endmacro(FIND_PACKAGE_HANDLE_STANDARD_ARGS) diff --git a/bench/btl/cmake/FindTvmet.cmake b/bench/btl/cmake/FindTvmet.cmake index 26a29d965..8ccae271b 100644 --- a/bench/btl/cmake/FindTvmet.cmake +++ b/bench/btl/cmake/FindTvmet.cmake @@ -15,7 +15,7 @@ if (TVMET_INCLUDE_DIR) # in cache already set(TVMET_FOUND TRUE) -else (TVMET_INCLUDE_DIR) +else () find_path(TVMET_INCLUDE_DIR NAMES tvmet/tvmet.h PATHS @@ -28,5 +28,5 @@ find_package_handle_standard_args(Tvmet DEFAULT_MSG TVMET_INCLUDE_DIR) mark_as_advanced(TVMET_INCLUDE_DIR) -endif(TVMET_INCLUDE_DIR) +endif() diff --git a/bench/btl/cmake/MacroOptionalAddSubdirectory.cmake b/bench/btl/cmake/MacroOptionalAddSubdirectory.cmake index 545048b68..8d46fcea2 100644 --- a/bench/btl/cmake/MacroOptionalAddSubdirectory.cmake +++ b/bench/btl/cmake/MacroOptionalAddSubdirectory.cmake @@ -1,6 +1,6 @@ -# - MACRO_OPTIONAL_ADD_SUBDIRECTORY() combines ADD_SUBDIRECTORY() with an OPTION() +# - MACRO_OPTIONAL_ADD_SUBDIRECTORY() combines add_subdirectory() with an option() # MACRO_OPTIONAL_ADD_SUBDIRECTORY( <dir> ) -# If you use MACRO_OPTIONAL_ADD_SUBDIRECTORY() instead of ADD_SUBDIRECTORY(), +# If you use MACRO_OPTIONAL_ADD_SUBDIRECTORY() instead of add_subdirectory(), # this will have two effects # 1 - CMake will not complain if the directory doesn't exist # This makes sense if you want to distribute just one of the subdirs @@ -16,16 +16,16 @@ # For details see the accompanying COPYING-CMAKE-SCRIPTS file. -MACRO (MACRO_OPTIONAL_ADD_SUBDIRECTORY _dir ) - GET_FILENAME_COMPONENT(_fullPath ${_dir} ABSOLUTE) - IF(EXISTS ${_fullPath}) - IF(${ARGC} EQUAL 2) - OPTION(BUILD_${_dir} "Build directory ${_dir}" ${ARGV1}) - ELSE(${ARGC} EQUAL 2) - OPTION(BUILD_${_dir} "Build directory ${_dir}" TRUE) - ENDIF(${ARGC} EQUAL 2) - IF(BUILD_${_dir}) - ADD_SUBDIRECTORY(${_dir}) - ENDIF(BUILD_${_dir}) - ENDIF(EXISTS ${_fullPath}) -ENDMACRO (MACRO_OPTIONAL_ADD_SUBDIRECTORY) +macro (MACRO_OPTIONAL_ADD_SUBDIRECTORY _dir ) + get_filename_component(_fullPath ${_dir} ABSOLUTE) + if(EXISTS ${_fullPath}) + if(${ARGC} EQUAL 2) + option(BUILD_${_dir} "Build directory ${_dir}" ${ARGV1}) + else(${ARGC} EQUAL 2) + option(BUILD_${_dir} "Build directory ${_dir}" TRUE) + endif(${ARGC} EQUAL 2) + if(BUILD_${_dir}) + add_subdirectory(${_dir}) + endif(BUILD_${_dir}) + endif(EXISTS ${_fullPath}) +endmacro (MACRO_OPTIONAL_ADD_SUBDIRECTORY) diff --git a/bench/btl/data/CMakeLists.txt b/bench/btl/data/CMakeLists.txt index 6af2a366f..580c1ced0 100644 --- a/bench/btl/data/CMakeLists.txt +++ b/bench/btl/data/CMakeLists.txt @@ -1,25 +1,25 @@ -ADD_CUSTOM_TARGET(copy_scripts) +add_custom_target(copy_scripts) -SET(script_files go_mean mk_mean_script.sh mk_new_gnuplot.sh +set(script_files go_mean mk_mean_script.sh mk_new_gnuplot.sh perlib_plot_settings.txt action_settings.txt gnuplot_common_settings.hh ) -FOREACH(script_file ${script_files}) -ADD_CUSTOM_COMMAND( +foreach(script_file ${script_files}) +add_custom_command( TARGET copy_scripts POST_BUILD COMMAND ${CMAKE_COMMAND} -E copy ${CMAKE_CURRENT_SOURCE_DIR}/${script_file} ${CMAKE_CURRENT_BINARY_DIR}/ ARGS ) -ENDFOREACH(script_file) +endforeach(script_file) -ADD_CUSTOM_COMMAND( +add_custom_command( TARGET copy_scripts POST_BUILD COMMAND ${CMAKE_CXX_COMPILER} --version | head -n 1 > ${CMAKE_CURRENT_BINARY_DIR}/compiler_version.txt ARGS ) -ADD_CUSTOM_COMMAND( +add_custom_command( TARGET copy_scripts POST_BUILD COMMAND echo "${Eigen_SOURCE_DIR}" > ${CMAKE_CURRENT_BINARY_DIR}/eigen_root_dir.txt diff --git a/bench/btl/data/go_mean b/bench/btl/data/go_mean index 42338ca27..d01426909 100755 --- a/bench/btl/data/go_mean +++ b/bench/btl/data/go_mean @@ -27,7 +27,7 @@ echo '<ul>'\ '<li>' `cat /proc/cpuinfo | grep "model name" | head -n 1`\ ' (' `uname -m` ')</li>'\ '<li> compiler: ' `cat compiler_version.txt` '</li>'\ - '<li> eigen3: ' `hg identify -i $EIGENDIR` '</li>'\ + '<li> eigen3: ' `git ls-remote --refs -q $EIGENDIR HEAD | cut -f 1` '</li>'\ '</ul>' \ '</p>' >> $webpagefilename diff --git a/bench/btl/generic_bench/bench.hh b/bench/btl/generic_bench/bench.hh index 7b7b951b5..0732940d5 100644 --- a/bench/btl/generic_bench/bench.hh +++ b/bench/btl/generic_bench/bench.hh @@ -159,7 +159,7 @@ BTL_DONT_INLINE void bench( int size_min, int size_max, int nb_point ){ // bench<Mixed_Perf_Analyzer,Action>(size_min,size_max,nb_point); - // Only for small problem size. Otherwize it will be too long + // Only for small problem size. Otherwise it will be too long // bench<X86_Perf_Analyzer,Action>(size_min,size_max,nb_point); // bench<STL_Perf_Analyzer,Action>(size_min,size_max,nb_point); diff --git a/bench/btl/generic_bench/utils/size_log.hh b/bench/btl/generic_bench/utils/size_log.hh index 13a3da7a8..68945e7cc 100644 --- a/bench/btl/generic_bench/utils/size_log.hh +++ b/bench/btl/generic_bench/utils/size_log.hh @@ -23,7 +23,7 @@ #include "math.h" // The Vector class must satisfy the following part of STL vector concept : // resize() method -// [] operator for seting element +// [] operator for setting element // the vector element are int compatible. template<class Vector> void size_log(const int nb_point, const int size_min, const int size_max, Vector & X) diff --git a/bench/btl/generic_bench/utils/xy_file.hh b/bench/btl/generic_bench/utils/xy_file.hh index 4571bed8f..0492faf09 100644 --- a/bench/btl/generic_bench/utils/xy_file.hh +++ b/bench/btl/generic_bench/utils/xy_file.hh @@ -55,7 +55,7 @@ bool read_xy_file(const std::string & filename, std::vector<int> & tab_sizes, // The Vector class must satisfy the following part of STL vector concept : // resize() method -// [] operator for seting element +// [] operator for setting element // the vector element must have the << operator define using namespace std; diff --git a/bench/btl/libs/BLAS/CMakeLists.txt b/bench/btl/libs/BLAS/CMakeLists.txt index 0272ccad0..f2738f169 100644 --- a/bench/btl/libs/BLAS/CMakeLists.txt +++ b/bench/btl/libs/BLAS/CMakeLists.txt @@ -5,8 +5,8 @@ if (ATLAS_FOUND) if(BUILD_btl_atlas) target_link_libraries(btl_atlas ${ATLAS_LIBRARIES}) set_target_properties(btl_atlas PROPERTIES COMPILE_FLAGS "-DCBLASNAME=ATLAS -DHAS_LAPACK=1") - endif(BUILD_btl_atlas) -endif (ATLAS_FOUND) + endif() +endif () find_package(MKL) if (MKL_FOUND) @@ -14,8 +14,8 @@ if (MKL_FOUND) if(BUILD_btl_mkl) target_link_libraries(btl_mkl ${MKL_LIBRARIES}) set_target_properties(btl_mkl PROPERTIES COMPILE_FLAGS "-DCBLASNAME=INTEL_MKL -DHAS_LAPACK=1") - endif(BUILD_btl_mkl) -endif (MKL_FOUND) + endif() +endif () find_package(OPENBLAS) @@ -24,8 +24,8 @@ if (OPENBLAS_FOUND) if(BUILD_btl_openblas) target_link_libraries(btl_openblas ${OPENBLAS_LIBRARIES} ) set_target_properties(btl_openblas PROPERTIES COMPILE_FLAGS "-DCBLASNAME=OPENBLAS") - endif(BUILD_btl_openblas) -endif (OPENBLAS_FOUND) + endif() +endif () find_package(ACML) if (ACML_FOUND) @@ -33,8 +33,8 @@ if (ACML_FOUND) if(BUILD_btl_acml) target_link_libraries(btl_acml ${ACML_LIBRARIES} ) set_target_properties(btl_acml PROPERTIES COMPILE_FLAGS "-DCBLASNAME=ACML -DHAS_LAPACK=1") - endif(BUILD_btl_acml) -endif (ACML_FOUND) + endif() +endif () if(Eigen_SOURCE_DIR AND CMAKE_Fortran_COMPILER_WORKS) # we are inside Eigen and blas/lapack interface is compilable diff --git a/bench/btl/libs/BLAS/blas_interface_impl.hh b/bench/btl/libs/BLAS/blas_interface_impl.hh index fc4ba2a1f..9e0a64905 100644 --- a/bench/btl/libs/BLAS/blas_interface_impl.hh +++ b/bench/btl/libs/BLAS/blas_interface_impl.hh @@ -46,9 +46,9 @@ public : BLAS_FUNC(gemm)(¬rans,¬rans,&N,&N,&N,&fone,A,&N,B,&N,&fzero,X,&N); } -// static inline void ata_product(gene_matrix & A, gene_matrix & X, int N){ -// ssyrk_(&lower,&trans,&N,&N,&fone,A,&N,&fzero,X,&N); -// } + static inline void ata_product(gene_matrix & A, gene_matrix & X, int N){ + BLAS_FUNC(syrk)(&lower,&trans,&N,&N,&fone,A,&N,&fzero,X,&N); + } static inline void aat_product(gene_matrix & A, gene_matrix & X, int N){ BLAS_FUNC(syrk)(&lower,¬rans,&N,&N,&fone,A,&N,&fzero,X,&N); diff --git a/bench/btl/libs/BLAS/main.cpp b/bench/btl/libs/BLAS/main.cpp index 564d55ef2..fd991490a 100644 --- a/bench/btl/libs/BLAS/main.cpp +++ b/bench/btl/libs/BLAS/main.cpp @@ -48,7 +48,7 @@ int main() bench<Action_rot<blas_interface<REAL_TYPE> > >(MIN_AXPY,MAX_AXPY,NB_POINT); bench<Action_matrix_matrix_product<blas_interface<REAL_TYPE> > >(MIN_MM,MAX_MM,NB_POINT); -// bench<Action_ata_product<blas_interface<REAL_TYPE> > >(MIN_MM,MAX_MM,NB_POINT); + bench<Action_ata_product<blas_interface<REAL_TYPE> > >(MIN_MM,MAX_MM,NB_POINT); bench<Action_aat_product<blas_interface<REAL_TYPE> > >(MIN_MM,MAX_MM,NB_POINT); bench<Action_trisolve<blas_interface<REAL_TYPE> > >(MIN_MM,MAX_MM,NB_POINT); diff --git a/bench/btl/libs/STL/STL_interface.hh b/bench/btl/libs/STL/STL_interface.hh index ef4cc9233..16658c4ba 100644 --- a/bench/btl/libs/STL/STL_interface.hh +++ b/bench/btl/libs/STL/STL_interface.hh @@ -78,18 +78,18 @@ public : cible[i][j]=source[i][j]; } -// static inline void ata_product(const gene_matrix & A, gene_matrix & X, int N) -// { -// real somme; -// for (int j=0;j<N;j++){ -// for (int i=0;i<N;i++){ -// somme=0.0; -// for (int k=0;k<N;k++) -// somme += A[i][k]*A[j][k]; -// X[j][i]=somme; -// } -// } -// } + static inline void ata_product(const gene_matrix & A, gene_matrix & X, int N) + { + real somme; + for (int j=0;j<N;j++){ + for (int i=0;i<N;i++){ + somme=0.0; + for (int k=0;k<N;k++) + somme += A[i][k]*A[j][k]; + X[j][i]=somme; + } + } + } static inline void aat_product(const gene_matrix & A, gene_matrix & X, int N) { diff --git a/bench/btl/libs/blaze/blaze_interface.hh b/bench/btl/libs/blaze/blaze_interface.hh index ee1523944..7b418f6da 100644 --- a/bench/btl/libs/blaze/blaze_interface.hh +++ b/bench/btl/libs/blaze/blaze_interface.hh @@ -20,6 +20,7 @@ #include <blaze/Math.h> #include <blaze/Blaze.h> +#include <Eigen/Core> // using namespace blaze; #include <vector> @@ -80,35 +81,35 @@ public : } } - static inline void matrix_matrix_product(const gene_matrix & A, const gene_matrix & B, gene_matrix & X, int N){ + static EIGEN_DONT_INLINE void matrix_matrix_product(const gene_matrix & A, const gene_matrix & B, gene_matrix & X, int N){ X = (A*B); } - static inline void transposed_matrix_matrix_product(const gene_matrix & A, const gene_matrix & B, gene_matrix & X, int N){ + static EIGEN_DONT_INLINE void transposed_matrix_matrix_product(const gene_matrix & A, const gene_matrix & B, gene_matrix & X, int N){ X = (trans(A)*trans(B)); } - static inline void ata_product(const gene_matrix & A, gene_matrix & X, int N){ + static EIGEN_DONT_INLINE void ata_product(const gene_matrix & A, gene_matrix & X, int N){ X = (trans(A)*A); } - static inline void aat_product(const gene_matrix & A, gene_matrix & X, int N){ + static EIGEN_DONT_INLINE void aat_product(const gene_matrix & A, gene_matrix & X, int N){ X = (A*trans(A)); } - static inline void matrix_vector_product(gene_matrix & A, gene_vector & B, gene_vector & X, int N){ + static EIGEN_DONT_INLINE void matrix_vector_product(gene_matrix & A, gene_vector & B, gene_vector & X, int N){ X = (A*B); } - static inline void atv_product(gene_matrix & A, gene_vector & B, gene_vector & X, int N){ + static EIGEN_DONT_INLINE void atv_product(gene_matrix & A, gene_vector & B, gene_vector & X, int N){ X = (trans(A)*B); } - static inline void axpy(const real coef, const gene_vector & X, gene_vector & Y, int N){ + static EIGEN_DONT_INLINE void axpy(const real coef, const gene_vector & X, gene_vector & Y, int N){ Y += coef * X; } - static inline void axpby(real a, const gene_vector & X, real b, gene_vector & Y, int N){ + static EIGEN_DONT_INLINE void axpby(real a, const gene_vector & X, real b, gene_vector & Y, int N){ Y = a*X + b*Y; } diff --git a/bench/btl/libs/blaze/main.cpp b/bench/btl/libs/blaze/main.cpp index 80e8f4eaa..ccae0cbd5 100644 --- a/bench/btl/libs/blaze/main.cpp +++ b/bench/btl/libs/blaze/main.cpp @@ -30,9 +30,9 @@ int main() bench<Action_matrix_vector_product<blaze_interface<REAL_TYPE> > >(MIN_MV,MAX_MV,NB_POINT); bench<Action_atv_product<blaze_interface<REAL_TYPE> > >(MIN_MV,MAX_MV,NB_POINT); -// bench<Action_matrix_matrix_product<blaze_interface<REAL_TYPE> > >(MIN_MM,MAX_MM,NB_POINT); -// bench<Action_ata_product<blaze_interface<REAL_TYPE> > >(MIN_MM,MAX_MM,NB_POINT); -// bench<Action_aat_product<blaze_interface<REAL_TYPE> > >(MIN_MM,MAX_MM,NB_POINT); + bench<Action_matrix_matrix_product<blaze_interface<REAL_TYPE> > >(MIN_MM,MAX_MM,NB_POINT); + bench<Action_ata_product<blaze_interface<REAL_TYPE> > >(MIN_MM,MAX_MM,NB_POINT); + bench<Action_aat_product<blaze_interface<REAL_TYPE> > >(MIN_MM,MAX_MM,NB_POINT); return 0; } diff --git a/bench/btl/libs/blitz/CMakeLists.txt b/bench/btl/libs/blitz/CMakeLists.txt index 880ab7338..e203c8152 100644 --- a/bench/btl/libs/blitz/CMakeLists.txt +++ b/bench/btl/libs/blitz/CMakeLists.txt @@ -7,11 +7,11 @@ if (BLITZ_FOUND) btl_add_bench(btl_blitz btl_blitz.cpp) if (BUILD_btl_blitz) target_link_libraries(btl_blitz ${BLITZ_LIBRARIES}) - endif (BUILD_btl_blitz) + endif () btl_add_bench(btl_tiny_blitz btl_tiny_blitz.cpp OFF) if (BUILD_btl_tiny_blitz) target_link_libraries(btl_tiny_blitz ${BLITZ_LIBRARIES}) - endif (BUILD_btl_tiny_blitz) + endif () -endif (BLITZ_FOUND) +endif () diff --git a/bench/btl/libs/eigen3/CMakeLists.txt b/bench/btl/libs/eigen3/CMakeLists.txt index 00cae23d3..06a72b4fb 100644 --- a/bench/btl/libs/eigen3/CMakeLists.txt +++ b/bench/btl/libs/eigen3/CMakeLists.txt @@ -47,9 +47,9 @@ if (EIGEN3_FOUND) # if(BUILD_btl_eigen3_adv) # target_link_libraries(btl_eigen3_adv ${MKL_LIBRARIES}) -# endif(BUILD_btl_eigen3_adv) +# endif() - endif(NOT BTL_NOVEC) + endif() btl_add_bench(btl_tiny_eigen3 btl_tiny_eigen3.cpp OFF) @@ -59,7 +59,7 @@ if (EIGEN3_FOUND) if(BUILD_btl_tiny_eigen3_novec) btl_add_target_property(btl_tiny_eigen3_novec COMPILE_FLAGS "-DEIGEN_DONT_VECTORIZE -DBTL_PREFIX=eigen3_tiny_novec") - endif(BUILD_btl_tiny_eigen3_novec) - endif(NOT BTL_NOVEC) + endif() + endif() -endif (EIGEN3_FOUND) +endif () diff --git a/bench/btl/libs/eigen3/eigen3_interface.hh b/bench/btl/libs/eigen3/eigen3_interface.hh index b821fd721..2e302d072 100644 --- a/bench/btl/libs/eigen3/eigen3_interface.hh +++ b/bench/btl/libs/eigen3/eigen3_interface.hh @@ -92,9 +92,11 @@ public : X.noalias() = A.transpose()*B.transpose(); } -// static inline void ata_product(const gene_matrix & A, gene_matrix & X, int /*N*/){ -// X.noalias() = A.transpose()*A; -// } + static inline void ata_product(const gene_matrix & A, gene_matrix & X, int /*N*/){ + //X.noalias() = A.transpose()*A; + X.template triangularView<Lower>().setZero(); + X.template selfadjointView<Lower>().rankUpdate(A.transpose()); + } static inline void aat_product(const gene_matrix & A, gene_matrix & X, int /*N*/){ X.template triangularView<Lower>().setZero(); diff --git a/bench/btl/libs/eigen3/main_matmat.cpp b/bench/btl/libs/eigen3/main_matmat.cpp index 926fa2b01..052810a16 100644 --- a/bench/btl/libs/eigen3/main_matmat.cpp +++ b/bench/btl/libs/eigen3/main_matmat.cpp @@ -25,7 +25,7 @@ BTL_MAIN; int main() { bench<Action_matrix_matrix_product<eigen3_interface<REAL_TYPE> > >(MIN_MM,MAX_MM,NB_POINT); -// bench<Action_ata_product<eigen3_interface<REAL_TYPE> > >(MIN_MM,MAX_MM,NB_POINT); + bench<Action_ata_product<eigen3_interface<REAL_TYPE> > >(MIN_MM,MAX_MM,NB_POINT); bench<Action_aat_product<eigen3_interface<REAL_TYPE> > >(MIN_MM,MAX_MM,NB_POINT); bench<Action_trmm<eigen3_interface<REAL_TYPE> > >(MIN_MM,MAX_MM,NB_POINT); diff --git a/bench/btl/libs/gmm/CMakeLists.txt b/bench/btl/libs/gmm/CMakeLists.txt index bc2586243..0bcb04659 100644 --- a/bench/btl/libs/gmm/CMakeLists.txt +++ b/bench/btl/libs/gmm/CMakeLists.txt @@ -3,4 +3,4 @@ find_package(GMM) if (GMM_FOUND) include_directories(${GMM_INCLUDES}) btl_add_bench(btl_gmm main.cpp) -endif (GMM_FOUND) +endif () diff --git a/bench/btl/libs/mtl4/CMakeLists.txt b/bench/btl/libs/mtl4/CMakeLists.txt index 14b47a808..132a501be 100644 --- a/bench/btl/libs/mtl4/CMakeLists.txt +++ b/bench/btl/libs/mtl4/CMakeLists.txt @@ -3,4 +3,4 @@ find_package(MTL4) if (MTL4_FOUND) include_directories(${MTL4_INCLUDE_DIR}) btl_add_bench(btl_mtl4 main.cpp) -endif (MTL4_FOUND) +endif () diff --git a/bench/btl/libs/tensors/CMakeLists.txt b/bench/btl/libs/tensors/CMakeLists.txt index 09d6d8e43..e10a736f5 100644 --- a/bench/btl/libs/tensors/CMakeLists.txt +++ b/bench/btl/libs/tensors/CMakeLists.txt @@ -39,6 +39,6 @@ if (TENSOR_FOUND) btl_add_target_property(btl_tensor_novec_vecmat COMPILE_FLAGS "-fno-exceptions -DEIGEN_DONT_VECTORIZE -DBTL_PREFIX=tensor_novec") btl_add_target_property(btl_tensor_novec_matmat COMPILE_FLAGS "-fno-exceptions -DEIGEN_DONT_VECTORIZE -DBTL_PREFIX=tensor_novec") - endif(NOT BTL_NOVEC) + endif() -endif (TENSOR_FOUND) +endif () diff --git a/bench/btl/libs/tvmet/CMakeLists.txt b/bench/btl/libs/tvmet/CMakeLists.txt index 25b565b97..e7376972c 100644 --- a/bench/btl/libs/tvmet/CMakeLists.txt +++ b/bench/btl/libs/tvmet/CMakeLists.txt @@ -3,4 +3,4 @@ find_package(Tvmet) if (TVMET_FOUND) include_directories(${TVMET_INCLUDE_DIR}) btl_add_bench(btl_tvmet main.cpp OFF) -endif (TVMET_FOUND) +endif () diff --git a/bench/btl/libs/ublas/CMakeLists.txt b/bench/btl/libs/ublas/CMakeLists.txt index bdb58bea1..5accf5b82 100644 --- a/bench/btl/libs/ublas/CMakeLists.txt +++ b/bench/btl/libs/ublas/CMakeLists.txt @@ -4,4 +4,4 @@ if (Boost_FOUND) include_directories(${Boost_INCLUDE_DIRS}) include_directories(${Boost_INCLUDES}) btl_add_bench(btl_ublas main.cpp) -endif (Boost_FOUND) +endif () diff --git a/bench/btl/libs/ublas/ublas_interface.hh b/bench/btl/libs/ublas/ublas_interface.hh index 95cad5195..f59b7cf2f 100644 --- a/bench/btl/libs/ublas/ublas_interface.hh +++ b/bench/btl/libs/ublas/ublas_interface.hh @@ -100,7 +100,7 @@ public : Y+=coef*X; } - // alias free assignements + // alias free assignments static inline void matrix_vector_product(gene_matrix & A, gene_vector & B, gene_vector & X, int N){ X.assign(prod(A,B)); diff --git a/bench/eig33.cpp b/bench/eig33.cpp index 47947a9be..f003d8a53 100644 --- a/bench/eig33.cpp +++ b/bench/eig33.cpp @@ -101,7 +101,7 @@ void eigen33(const Matrix& mat, Matrix& evecs, Vector& evals) computeRoots(scaledMat,evals); // compute the eigen vectors - // **here we assume 3 differents eigenvalues** + // **here we assume 3 different eigenvalues** // "optimized version" which appears to be slower with gcc! // Vector base; diff --git a/bench/perf_monitoring/changesets.txt b/bench/perf_monitoring/changesets.txt new file mode 100644 index 000000000..efdd9a0ff --- /dev/null +++ b/bench/perf_monitoring/changesets.txt @@ -0,0 +1,95 @@ +Load hg-to-git hash maps from ./eigen_git/.git/ +#3.0.1 +#3.1.1 +#3.2.0 +3.2.4 +#574a7621809fe +58964a85800bd # introduce AVX +#589cbd7e98174 # merge +589db7d49efbb # introduce FMA +#590a078f442a3 # complex and AVX +590a419cea4a0 # improve packing with ptranspose +#59251e85c936d # merge +#592e497a27ddc +593d5a795f673 # New gebp kernel: up to 3 packets x 4 register-level blocks +#5942c3c95990d # merge +#596c9788d55b9 # Disable 3pX4 kernel on Altivec +#5999aa3dc4e21 # merge +6209452eb38f8 # before-evaluators +#6333eba5e1101 # Implement evaluator for sparse outer products +#663b9d314ae19 +#6655ef95fabee # Properly detect FMA support on ARM +#667fe25f3b8e3 # FMA has been wrongly disabled +#668409547a0c8 +#6694304c73542 # merge default to tensors +#67216047c8d4a # merge default to tensors +#67410a79ca3a3 # merge default to tensors +#674b7271dffb5 # Generalized the gebp apis +676bfdd9f3ac9 # Made the blocking computation aware of the l3 cache;<br/> Also optimized the blocking parameters to take<br/> into account the number of threads used for a computation. +6782dde63499c # generalized gemv +6799f98650d0a # ensured that contractions that can be reduced to a matrix vector product +#6840918c51e60 # merge tensor +684e972b55ec4 # change prefetching in gebp +#68598604576d1 # merge index conversion +68963eb0f6fe6 # clean blocking size computation +689db05f2d01e # rotating kernel for ARM only +#6901b7e12847d # result_of +69226275b250a # fix prefetching change for ARM +692692136350b # prefetching +693a8ad8887bf # blocking size strategy +693bcf9bb5c1f # avoid redundant pack_rhs +6987550107028 # dynamic loop swapping +69858740ce4c6 # rm dynamic loop swapping,<br/> adjust lhs's micro panel height to fully exploit L1 cache +698cd3bbffa73 # blocking heuristic:<br/> block on the rhs in L1 if the lhs fit in L1. +701488c15615a # organize a little our default cache sizes,<br/> and use a saner default L1 outside of x86 (10% faster on Nexus 5) +701e56aabf205 # Refactor computeProductBlockingSizes to make room<br/> for the possibility of using lookup tables +701ca5c12587b # Polish lookup tables generation +7013589a9c115 # actual_panel_rows computation should always be resilient<br/> to parameters not consistent with the known L1 cache size, see comment +70102babb9c0f # Provide a empirical lookup table for blocking sizes measured on a Nexus 5.<br/> Only for float, only for Android on ARM 32bit for now. +7088481dc21ea # Bug 986: add support for coefficient-based<br/> product with 0 depth. +709d7f51feb07 # Bug 992: don't select a 3p GEMM path with non-SIMD scalar types. +759f9303cc7c5 # 3.3-alpha1 +765aba1eda71e # help clang inlining +770fe630c9873 # Improve numerical accuracy in LLT and triangular solve<br/> by using true scalar divisions (instead of x * (1/y)) +#8741d23430628 # Improved the matrix multiplication blocking in the case<br/> where mr is not a power of 2 (e.g on Haswell CPUs) +878f629fe95c8 # Made the index type a template parameter to evaluateProductBlockingSizes.<br/> Use numext::mini and numext::maxi instead of <br/> std::min/std::max to compute blocking sizes. +8975d51a7f12c # Don't optimize the processing of the last rows of<br/> a matrix matrix product in cases that violate<br/> the assumptions made by the optimized code path. +8986136f4fdd4 # Remove the rotating kernel. +898e68e165a23 # Bug 256: enable vectorization with unaligned loads/stores. +91466e99ab6a1 # Relax mixing-type constraints for binary coeff-wise operators +91776236cdea4 # merge +917101ea26f5e # Include the cost of stores in unrolling +921672076db5d # Fix perf regression introduced in changeset e56aabf205 +9210fa9e4a15c # Fix perf regression in dgemm introduced by changeset 5d51a7f12c +936f6b3cf8de9 # 3.3-beta2 +944504a4404f1 # Optimize expression matching 'd?=a-b*c' as 'd?=a; d?=b*c;' +95877e27fbeee # 3.3-rc1 +959779774f98c # Bug 1311: fix alignment logic in some cases<br/> of (scalar*small).lazyProduct(small) +9729f9d8d2f62 # Disabled part of the matrix matrix peeling code<br/> that's incompatible with 512 bit registers +979eeac81b8c0 # 3.3.0 +989c927af60ed # Fix a performance regression in (mat*mat)*vec<br/> for which mat*mat was evaluated multiple times. +994fe696022ec # Operators += and -= do not resize! +99466f65ccc36 # Ease compiler generating clean and efficient code in mat*vec +9946a5fe86098 # Complete rewrite of column-major-matrix * vector product<br/> to deliver higher performance of modern CPU. +99591003f3b86 # Improve performance of row-major-dense-matrix * vector products<br/> for recent CPUs. +997eb621413c1 # Revert vec/y to vec*(1/y) in row-major TRSM +10444bbc320468 # Bug 1435: fix aliasing issue in exressions like: A = C - B*A; +1073624df50945 # Adds missing EIGEN_STRONG_INLINE to support MSVC<br/> properly inlining small vector calculations +1094d428a199ab # Bug 1562: optimize evaluation of small products<br/> of the form s*A*B by rewriting them as: s*(A.lazyProduct(B))<br/> to save a costly temporary.<br/> Measured speedup from 2x to 5x. +1096de9e31a06d # Introduce the macro ei_declare_local_nested_eval to<br/> help allocating on the stack local temporaries via alloca,<br/> and let outer-products makes a good use of it. +11087b91c11207 # Bug 1578: Improve prefetching in matrix multiplication on MIPS. +1153aa110e681b # PR 526: Speed up multiplication of small, dynamically sized matrices +11544ad359237a # Vectorize row-by-row gebp loop iterations on 16 packets as well +1157a476054879 # Bug 1624: improve matrix-matrix product on ARM 64, 20% speedup +1160a4159dba08 # do not read buffers out of bounds +1163c53eececb0 # Implement AVX512 vectorization of std::complex<float/double> +11644e7746fe22 # Bug 1636: fix gemm performance issue with gcc>=6 and no FMA +1164956678a4ef # Bug 1515: disable gebp's 3pX4 micro kernel<br/> for MSVC<=19.14 because of register spilling. +1165426bce7529 # fix EIGEN_GEBP_2PX4_SPILLING_WORKAROUND<br/> for non vectorized type, and non x86/64 target +11660d90637838 # enable spilling workaround on architectures with SSE/AVX +1166f159cf3d75 # Artificially increase l1-blocking size for AVX512.<br/> +10% speedup with current kernels. +11686dd93f7e3b # Make code compile again for older compilers. +1175dbfcceabf5 # Bug: 1633: refactor gebp kernel and optimize for neon +117670e133333d # Bug 1661: fix regression in GEBP and AVX512 +11760f028f61cb # GEBP: cleanup logic to choose between<br/> a 4 packets of 1 packet (=e118ce86fd+fix) +1180de77bf5d6c # gebp: Add new ½ and ¼ packet rows per (peeling) round on the lhs diff --git a/bench/perf_monitoring/gemm.cpp b/bench/perf_monitoring/gemm.cpp new file mode 100644 index 000000000..804139db7 --- /dev/null +++ b/bench/perf_monitoring/gemm.cpp @@ -0,0 +1,12 @@ +#include "gemm_common.h" + +EIGEN_DONT_INLINE +void gemm(const Mat &A, const Mat &B, Mat &C) +{ + C.noalias() += A * B; +} + +int main(int argc, char **argv) +{ + return main_gemm(argc, argv, gemm); +} diff --git a/bench/perf_monitoring/gemm/changesets.txt b/bench/perf_monitoring/gemm/changesets.txt deleted file mode 100644 index af8eb9b8f..000000000 --- a/bench/perf_monitoring/gemm/changesets.txt +++ /dev/null @@ -1,61 +0,0 @@ -#3.0.1 -#3.1.1 -#3.2.0 -3.2.4 -#5745:37f59e65eb6c -5891:d8652709345d # introduce AVX -#5893:24b4dc92c6d3 # merge -5895:997c2ef9fc8b # introduce FMA -#5904:e1eafd14eaa1 # complex and AVX -5908:f8ee3c721251 # improve packing with ptranspose -#5921:ca808bb456b0 # merge -#5927:8b1001f9e3ac -5937:5a4ca1ad8c53 # New gebp kernel handling up to 3 packets x 4 register-level blocks -#5949:f3488f4e45b2 # merge -#5969:e09031dccfd9 # Disable 3pX4 kernel on Altivec -#5992:4a429f5e0483 # merge -before-evaluators -#6334:f6a45e5b8b7c # Implement evaluator for sparse outer products -#6639:c9121c60b5c7 -#6655:06f163b5221f # Properly detect FMA support on ARM -#6677:700e023044e7 # FMA has been wrongly disabled -#6681:11d31dafb0e3 -#6699:5e6e8e10aad1 # merge default to tensors -#6726:ff2d2388e7b9 # merge default to tensors -#6742:0cbd6195e829 # merge default to tensors -#6747:853d2bafeb8f # Generalized the gebp apis -6765:71584fd55762 # Made the blocking computation aware of the l3 cache; Also optimized the blocking parameters to take into account the number of threads used for a computation -#6781:9cc5a931b2c6 # generalized gemv -#6792:f6e1daab600a # ensured that contractions that can be reduced to a matrix vector product -#6844:039efd86b75c # merge tensor -6845:7333ed40c6ef # change prefetching in gebp -#6856:b5be5e10eb7f # merge index conversion -#6893:c3a64aba7c70 # clean blocking size computation -#6898:6fb31ebe6492 # rotating kernel for ARM -6899:877facace746 # rotating kernel for ARM only -#6904:c250623ae9fa # result_of -6921:915f1b1fc158 # fix prefetching change for ARM -6923:9ff25f6dacc6 # prefetching -6933:52572e60b5d3 # blocking size strategy -6937:c8c042f286b2 # avoid redundant pack_rhs -6981:7e5d6f78da59 # dynamic loop swapping -6984:45f26866c091 # rm dynamic loop swapping, adjust lhs's micro panel height to fully exploit L1 cache -6986:a675d05b6f8f # blocking heuristic: block on the rhs in L1 if the lhs fit in L1. -7013:f875e75f07e5 # organize a little our default cache sizes, and use a saner default L1 outside of x86 (10% faster on Nexus 5) -7015:8aad8f35c955 # Refactor computeProductBlockingSizes to make room for the possibility of using lookup tables -7016:a58d253e8c91 # Polish lookup tables generation -7018:9b27294a8186 # actual_panel_rows computation should always be resilient to parameters not consistent with the known L1 cache size, see comment -7019:c758b1e2c073 # Provide a empirical lookup table for blocking sizes measured on a Nexus 5. Only for float, only for Android on ARM 32bit for now. -7085:627e039fba68 # Bug 986: add support for coefficient-based product with 0 depth. -7098:b6f1db9cf9ec # Bug 992: don't select a 3p GEMM path with non-vectorizable scalar types, this hits unsupported paths in symm/triangular products code -7591:09a8e2186610 # 3.3-alpha1 -7650:b0f3c8f43025 # help clang inlining -#8744:74b789ada92a # Improved the matrix multiplication blocking in the case where mr is not a power of 2 (e.g on Haswell CPUs) -8789:efcb912e4356 # Made the index type a template parameter to evaluateProductBlockingSizes. Use numext::mini and numext::maxi instead of std::min/std::max to compute blocking sizes -8972:81d53c711775 # Don't optimize the processing of the last rows of a matrix matrix product in cases that violate the assumptions made by the optimized code path -8985:d935df21a082 # Remove the rotating kernel. -8988:6c2dc56e73b3 # Bug 256: enable vectorization with unaligned loads/stores. -9148:b8b8c421e36c # Relax mixing-type constraints for binary coefficient-wise operators -9174:d228bc282ac9 # merge -9212:c90098affa7b # Fix performance regression introduced in changeset 8aad8f35c955 -9213:9f1c14e4694b # Fix performance regression in dgemm introduced by changeset 81d53c711775 diff --git a/bench/perf_monitoring/gemm/make_plot.sh b/bench/perf_monitoring/gemm/make_plot.sh deleted file mode 100755 index cd3214ac9..000000000 --- a/bench/perf_monitoring/gemm/make_plot.sh +++ /dev/null @@ -1,38 +0,0 @@ -#!/bin/bash - -# base name of the bench -# it reads $1.out -# and generates $1.pdf -WHAT=$1 -bench=$2 - -header="rev " -while read line -do - if [ ! -z '$line' ]; then - header="$header \"$line\"" - fi -done < $bench"_settings.txt" - -echo $header > $WHAT.out.header -cat $WHAT.out >> $WHAT.out.header - - -echo "set title '$WHAT'" > $WHAT.gnuplot -echo "set key autotitle columnhead outside " >> $WHAT.gnuplot -echo "set xtics rotate 1" >> $WHAT.gnuplot - -echo "set term pdf color rounded enhanced fontscale 0.35 size 7in,5in" >> $WHAT.gnuplot -echo set output "'"$WHAT.pdf"'" >> $WHAT.gnuplot - -col=`cat $bench"_settings.txt" | wc -l` -echo "plot for [col=2:$col+1] '$WHAT.out.header' using 0:col:xticlabels(1) with lines" >> $WHAT.gnuplot -echo " " >> $WHAT.gnuplot - -gnuplot -persist < $WHAT.gnuplot - -# generate a png file -# convert -background white -density 120 -rotate 90 -resize 800 +dither -colors 256 -quality 0 $WHAT.ps -background white -flatten .$WHAT.png - -# clean -rm $WHAT.out.header $WHAT.gnuplot
\ No newline at end of file diff --git a/bench/perf_monitoring/gemm/gemm.cpp b/bench/perf_monitoring/gemm_common.h index 614bd4737..30dbc0df6 100644 --- a/bench/perf_monitoring/gemm/gemm.cpp +++ b/bench/perf_monitoring/gemm_common.h @@ -1,8 +1,9 @@ #include <iostream> #include <fstream> #include <vector> -#include <Eigen/Core> -#include "../../BenchTimer.h" +#include <string> +#include "eigen_src/Eigen/Core" +#include "../BenchTimer.h" using namespace Eigen; #ifndef SCALAR @@ -13,14 +14,9 @@ typedef SCALAR Scalar; typedef Matrix<Scalar,Dynamic,Dynamic> Mat; +template<typename Func> EIGEN_DONT_INLINE -void gemm(const Mat &A, const Mat &B, Mat &C) -{ - C.noalias() += A * B; -} - -EIGEN_DONT_INLINE -double bench(long m, long n, long k) +double bench(long m, long n, long k, const Func& f) { Mat A(m,k); Mat B(k,n); @@ -44,21 +40,25 @@ double bench(long m, long n, long k) long rep = std::max(1., std::min(100., up/flops) ); long tries = std::max(tm0, std::min(tm1, up/flops) ); - BENCH(t, tries, rep, gemm(A,B,C)); + BENCH(t, tries, rep, f(A,B,C)); return 1e-9 * rep * flops / t.best(); } -int main(int argc, char **argv) +template<typename Func> +int main_gemm(int argc, char **argv, const Func& f) { std::vector<double> results; - std::ifstream settings("gemm_settings.txt"); + std::string filename = std::string("gemm_settings.txt"); + if(argc>1) + filename = std::string(argv[1]); + std::ifstream settings(filename); long m, n, k; while(settings >> m >> n >> k) { //std::cerr << " Testing " << m << " " << n << " " << k << std::endl; - results.push_back( bench(m, n, k) ); + results.push_back( bench(m, n, k, f) ); } std::cout << RowVectorXd::Map(results.data(), results.size()); diff --git a/bench/perf_monitoring/gemm/gemm_settings.txt b/bench/perf_monitoring/gemm_settings.txt index 5c43e1c7d..5c43e1c7d 100644 --- a/bench/perf_monitoring/gemm/gemm_settings.txt +++ b/bench/perf_monitoring/gemm_settings.txt diff --git a/bench/perf_monitoring/gemm_square_settings.txt b/bench/perf_monitoring/gemm_square_settings.txt new file mode 100644 index 000000000..98474d173 --- /dev/null +++ b/bench/perf_monitoring/gemm_square_settings.txt @@ -0,0 +1,11 @@ +8 8 8 +9 9 9 +12 12 12 +15 15 15 +16 16 16 +24 24 24 +102 102 102 +239 239 239 +240 240 240 +2400 2400 2400 +2463 2463 2463 diff --git a/bench/perf_monitoring/gemv.cpp b/bench/perf_monitoring/gemv.cpp new file mode 100644 index 000000000..82e5ab960 --- /dev/null +++ b/bench/perf_monitoring/gemv.cpp @@ -0,0 +1,12 @@ +#include "gemv_common.h" + +EIGEN_DONT_INLINE +void gemv(const Mat &A, const Vec &B, Vec &C) +{ + C.noalias() += A * B; +} + +int main(int argc, char **argv) +{ + return main_gemv(argc, argv, gemv); +} diff --git a/bench/perf_monitoring/gemv_common.h b/bench/perf_monitoring/gemv_common.h new file mode 100644 index 000000000..cc3257729 --- /dev/null +++ b/bench/perf_monitoring/gemv_common.h @@ -0,0 +1,69 @@ +#include <iostream> +#include <fstream> +#include <vector> +#include <string> +#include <functional> +#include "eigen_src/Eigen/Core" +#include "../BenchTimer.h" +using namespace Eigen; + +#ifndef SCALAR +#error SCALAR must be defined +#endif + +typedef SCALAR Scalar; + +typedef Matrix<Scalar,Dynamic,Dynamic> Mat; +typedef Matrix<Scalar,Dynamic,1> Vec; + +template<typename Func> +EIGEN_DONT_INLINE +double bench(long m, long n, Func &f) +{ + Mat A(m,n); + Vec B(n); + Vec C(m); + A.setRandom(); + B.setRandom(); + C.setRandom(); + + BenchTimer t; + + double up = 1e8/sizeof(Scalar); + double tm0 = 4, tm1 = 10; + if(NumTraits<Scalar>::IsComplex) + { + up /= 4; + tm0 = 2; + tm1 = 4; + } + + double flops = 2. * m * n; + long rep = std::max(1., std::min(100., up/flops) ); + long tries = std::max(tm0, std::min(tm1, up/flops) ); + + BENCH(t, tries, rep, f(A,B,C)); + + return 1e-9 * rep * flops / t.best(); +} + +template<typename Func> +int main_gemv(int argc, char **argv, Func& f) +{ + std::vector<double> results; + + std::string filename = std::string("gemv_settings.txt"); + if(argc>1) + filename = std::string(argv[1]); + std::ifstream settings(filename); + long m, n; + while(settings >> m >> n) + { + //std::cerr << " Testing " << m << " " << n << std::endl; + results.push_back( bench(m, n, f) ); + } + + std::cout << RowVectorXd::Map(results.data(), results.size()); + + return 0; +} diff --git a/bench/perf_monitoring/gemv_settings.txt b/bench/perf_monitoring/gemv_settings.txt new file mode 100644 index 000000000..21a5ee051 --- /dev/null +++ b/bench/perf_monitoring/gemv_settings.txt @@ -0,0 +1,11 @@ +8 8 +9 9 +24 24 +239 239 +240 240 +2400 24 +24 2400 +24 240 +2400 2400 +4800 23 +23 4800 diff --git a/bench/perf_monitoring/gemv_square_settings.txt b/bench/perf_monitoring/gemv_square_settings.txt new file mode 100644 index 000000000..5165759f4 --- /dev/null +++ b/bench/perf_monitoring/gemv_square_settings.txt @@ -0,0 +1,13 @@ +8 8 +9 9 +12 12 +15 15 +16 16 +24 24 +53 53 +74 74 +102 102 +239 239 +240 240 +2400 2400 +2463 2463 diff --git a/bench/perf_monitoring/gemvt.cpp b/bench/perf_monitoring/gemvt.cpp new file mode 100644 index 000000000..fe945767e --- /dev/null +++ b/bench/perf_monitoring/gemvt.cpp @@ -0,0 +1,12 @@ +#include "gemv_common.h" + +EIGEN_DONT_INLINE +void gemv(const Mat &A, Vec &B, const Vec &C) +{ + B.noalias() += A.transpose() * C; +} + +int main(int argc, char **argv) +{ + return main_gemv(argc, argv, gemv); +} diff --git a/bench/perf_monitoring/gemm/lazy_gemm.cpp b/bench/perf_monitoring/lazy_gemm.cpp index 6dc370155..773306048 100644 --- a/bench/perf_monitoring/gemm/lazy_gemm.cpp +++ b/bench/perf_monitoring/lazy_gemm.cpp @@ -84,7 +84,10 @@ int main(int argc, char **argv) { std::vector<double> results; - std::ifstream settings("lazy_gemm_settings.txt"); + std::string filename = std::string("lazy_gemm_settings.txt"); + if(argc>1) + filename = std::string(argv[1]); + std::ifstream settings(filename); long m, n, k, t; while(settings >> m >> n >> k >> t) { diff --git a/bench/perf_monitoring/gemm/lazy_gemm_settings.txt b/bench/perf_monitoring/lazy_gemm_settings.txt index 407d5d4fa..407d5d4fa 100644 --- a/bench/perf_monitoring/gemm/lazy_gemm_settings.txt +++ b/bench/perf_monitoring/lazy_gemm_settings.txt diff --git a/bench/perf_monitoring/llt.cpp b/bench/perf_monitoring/llt.cpp new file mode 100644 index 000000000..d55b7d803 --- /dev/null +++ b/bench/perf_monitoring/llt.cpp @@ -0,0 +1,15 @@ +#include "gemm_common.h" +#include <Eigen/Cholesky> + +EIGEN_DONT_INLINE +void llt(const Mat &A, const Mat &B, Mat &C) +{ + C = A; + C.diagonal().array() += 1000; + Eigen::internal::llt_inplace<Mat::Scalar, Lower>::blocked(C); +} + +int main(int argc, char **argv) +{ + return main_gemm(argc, argv, llt); +} diff --git a/bench/perf_monitoring/make_plot.sh b/bench/perf_monitoring/make_plot.sh new file mode 100755 index 000000000..65aaf66f9 --- /dev/null +++ b/bench/perf_monitoring/make_plot.sh @@ -0,0 +1,112 @@ +#!/bin/bash + +# base name of the bench +# it reads $1.out +# and generates $1.pdf +WHAT=$1 +bench=$2 +settings_file=$3 + +header="rev " +while read line +do + if [ ! -z '$line' ]; then + header="$header \"$line\"" + fi +done < $settings_file + +echo $header > $WHAT.out.header +cat $WHAT.out >> $WHAT.out.header + + +echo "set title '$WHAT'" > $WHAT.gnuplot +echo "set key autotitle columnhead outside " >> $WHAT.gnuplot +echo "set xtics rotate 1" >> $WHAT.gnuplot + +echo "set term pdf color rounded enhanced fontscale 0.35 size 7in,5in" >> $WHAT.gnuplot +echo set output "'"$WHAT.pdf"'" >> $WHAT.gnuplot + +col=`cat $settings_file | wc -l` +echo "plot for [col=2:$col+1] '$WHAT.out.header' using 0:col:xticlabels(1) with lines" >> $WHAT.gnuplot +echo " " >> $WHAT.gnuplot + +gnuplot -persist < $WHAT.gnuplot + +# generate a png file (thumbnail) +convert -colors 256 -background white -density 300 -resize 300 -quality 0 $WHAT.pdf -background white -flatten $WHAT.png + +# clean +rm $WHAT.out.header $WHAT.gnuplot + + +# generate html/svg graph + +echo " " > $WHAT.html +cat resources/chart_header.html > $WHAT.html +echo 'var customSettings = {"TITLE":"","SUBTITLE":"","XLABEL":"","YLABEL":""};' >> $WHAT.html +# 'data' is an array of datasets (i.e. curves), each of which is an object of the form +# { +# key: <name of the curve>, +# color: <optional color of the curve>, +# values: [{ +# r: <revision number>, +# v: <GFlops> +# }] +# } +echo 'var data = [' >> $WHAT.html + +col=2 +while read line +do + if [ ! -z '$line' ]; then + header="$header \"$line\"" + echo '{"key":"'$line'","values":[' >> $WHAT.html + i=0 + while read line2 + do + if [ ! -z "$line2" ]; then + val=`echo $line2 | cut -s -f $col -d ' '` + if [ -n "$val" ]; then # skip build failures + echo '{"r":'$i',"v":'$val'},' >> $WHAT.html + fi + fi + ((i++)) + done < $WHAT.out + echo ']},' >> $WHAT.html + fi + ((col++)) +done < $settings_file +echo '];' >> $WHAT.html + +echo 'var changesets = [' >> $WHAT.html +while read line2 +do + if [ ! -z '$line2' ]; then + echo '"'`echo $line2 | cut -f 1 -d ' '`'",' >> $WHAT.html + fi +done < $WHAT.out +echo '];' >> $WHAT.html + +echo 'var changesets_details = [' >> $WHAT.html +while read line2 +do + if [ ! -z '$line2' ]; then + num=`echo "$line2" | cut -f 1 -d ' '` + comment=`grep ":$num" changesets.txt | cut -f 2 -d '#'` + echo '"'"$comment"'",' >> $WHAT.html + fi +done < $WHAT.out +echo '];' >> $WHAT.html + +echo 'var changesets_count = [' >> $WHAT.html +i=0 +while read line2 +do + if [ ! -z '$line2' ]; then + echo $i ',' >> $WHAT.html + fi + ((i++)) +done < $WHAT.out +echo '];' >> $WHAT.html + +cat resources/chart_footer.html >> $WHAT.html diff --git a/bench/perf_monitoring/resources/chart_footer.html b/bench/perf_monitoring/resources/chart_footer.html new file mode 100644 index 000000000..a96cdb898 --- /dev/null +++ b/bench/perf_monitoring/resources/chart_footer.html @@ -0,0 +1,41 @@ + /* setup the chart and its options */ + var chart = nv.models.lineChart() + .color(d3.scale.category10().range()) + .margin({left: 75, bottom: 100}) + .forceX([0]).forceY([0]); + + chart.x(function(datum){ return datum.r; }) + .xAxis.options({ + axisLabel: customSettings.XLABEL || 'Changeset', + tickFormat: d3.format('.0f') + }); + chart.xAxis + .tickValues(changesets_count) + .tickFormat(function(d){return changesets[d]}) + .rotateLabels(-90); + + chart.y(function(datum){ return datum.v; }) + .yAxis.options({ + axisLabel: customSettings.YLABEL || 'GFlops'/*, + tickFormat: function(val){ return d3.format('.0f')(val) + ' GFlops'; }*/ + }); + + chart.tooltip.headerFormatter(function(d) { return changesets[d] + + ' <p style="font-weight:normal;text-align: left;">' + + changesets_details[d] + "</p>"; }); + + //chart.useInteractiveGuideline(true); + d3.select('#chart').datum(data).call(chart); + var plot = d3.select('#chart > g'); + + /* setup the title */ + plot.append('text') + .style('font-size', '24px') + .attr('text-anchor', 'middle').attr('x', '50%').attr('y', '20px') + .text(customSettings.TITLE || ''); + + /* ensure the chart is responsive */ + nv.utils.windowResize(chart.update); + </script> + </body> +</html> diff --git a/bench/perf_monitoring/resources/chart_header.html b/bench/perf_monitoring/resources/chart_header.html new file mode 100644 index 000000000..27eb02e54 --- /dev/null +++ b/bench/perf_monitoring/resources/chart_header.html @@ -0,0 +1,45 @@ + +<!DOCTYPE html> +<html> + <head> + <meta charset='utf-8'> + <style>.nvd3 .nv-axis line,.nvd3 .nv-axis path{fill:none;shape-rendering:crispEdges}.nv-brush .extent,.nvd3 .background path,.nvd3 .nv-axis line,.nvd3 .nv-axis path{shape-rendering:crispEdges}.nv-distx,.nv-disty,.nv-noninteractive,.nvd3 .nv-axis,.nvd3.nv-pie .nv-label,.nvd3.nv-sparklineplus g.nv-hoverValue{pointer-events:none}.nvtooltip,svg.nvd3-svg{display:block;-webkit-touch-callout:none;-khtml-user-select:none}.nvd3 .nv-axis{opacity:1}.nvd3 .nv-axis.nv-disabled,.nvd3 .nv-controlsWrap .nv-legend .nv-check-box .nv-check{opacity:0}.nvd3 .nv-axis 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n&&w(e)?(a.dom.write(function(){b();var a=u(e);a&&(l.node().innerHTML=a),y()}),c):void 0}var d="nvtooltip-"+Math.floor(1e5*Math.random()),e=null,f="w",g=25,h=0,i=null,j=!0,k=200,l=null,m={left:null,top:null},n=!0,o=100,p=!0,q="nv-pointer-events-none",r=function(a,b){return a},s=function(a){return a},t=function(a,b){return a},u=function(a){if(null===a)return"";var b=d3.select(document.createElement("table"));if(p){var c=b.selectAll("thead").data([a]).enter().append("thead");c.append("tr").append("td").attr("colspan",3).append("strong").classed("x-value",!0).html(s(a.value))}var d=b.selectAll("tbody").data([a]).enter().append("tbody"),e=d.selectAll("tr").data(function(a){return a.series}).enter().append("tr").classed("highlight",function(a){return a.highlight});e.append("td").classed("legend-color-guide",!0).append("div").style("background-color",function(a){return a.color}),e.append("td").classed("key",!0).classed("total",function(a){return!!a.total}).html(function(a,b){return 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b,c,d,e=l.node().offsetHeight,h=l.node().offsetWidth,i=document.documentElement.clientWidth,j=document.documentElement.clientHeight;switch(f){case"e":b=-h-g,c=-(e/2),a.left+b<0&&(b=g),(d=a.top+c)<0&&(c-=d),(d=a.top+c+e)>j&&(c-=d-j);break;case"w":b=g,c=-(e/2),a.left+b+h>i&&(b=-h-g),(d=a.top+c)<0&&(c-=d),(d=a.top+c+e)>j&&(c-=d-j);break;case"n":b=-(h/2)-5,c=g,a.top+c+e>j&&(c=-e-g),(d=a.left+b)<0&&(b-=d),(d=a.left+b+h)>i&&(b-=d-i);break;case"s":b=-(h/2),c=-e-g,a.top+c<0&&(c=g),(d=a.left+b)<0&&(b-=d),(d=a.left+b+h)>i&&(b-=d-i);break;case"center":b=-(h/2),c=-(e/2);break;default:b=0,c=0}return{left:b,top:c}},y=function(){a.dom.read(function(){var a=v(),b=x(a),c=a.left+b.left,d=a.top+b.top;if(j)l.interrupt().transition().delay(k).duration(0).style("opacity",0);else{var e="translate("+m.left+"px, "+m.top+"px)",f="translate("+Math.round(c)+"px, 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a={width:640,height:480};return window.innerWidth&&window.innerHeight?(a.width=window.innerWidth,a.height=window.innerHeight,a):"CSS1Compat"==document.compatMode&&document.documentElement&&document.documentElement.offsetWidth?(a.width=document.documentElement.offsetWidth,a.height=document.documentElement.offsetHeight,a):document.body&&document.body.offsetWidth?(a.width=document.body.offsetWidth,a.height=document.body.offsetHeight,a):a},a.utils.isArray=Array.isArray,a.utils.isObject=function(a){return null!==a&&"object"==typeof a},a.utils.isFunction=function(a){return"function"==typeof a},a.utils.isDate=function(a){return"[object Date]"===toString.call(a)},a.utils.isNumber=function(a){return!isNaN(a)&&"number"==typeof a},a.utils.windowResize=function(b){return window.addEventListener?window.addEventListener("resize",b):a.log("ERROR: Failed to bind to window.resize with: ",b),{callback:b,clear:function(){window.removeEventListener("resize",b)}}},a.utils.getColor=function(b){if(void 0===b)return a.utils.defaultColor();if(a.utils.isArray(b)){var c=d3.scale.ordinal().range(b);return function(a,b){var d=void 0===b?a:b;return a.color||c(d)}}return b},a.utils.defaultColor=function(){return a.utils.getColor(d3.scale.category20().range())},a.utils.customTheme=function(b,c,d){c=c||function(a){return a.key},d=d||d3.scale.category20().range();var e=d.length;return function(f,g){var h=c(f);return a.utils.isFunction(b[h])?b[h]():void 0!==b[h]?b[h]:(e||(e=d.length),e-=1,d[e])}},a.utils.pjax=function(b,c){var d=function(d){d3.html(d,function(d){var e=d3.select(c).node();e.parentNode.replaceChild(d3.select(d).select(c).node(),e),a.utils.pjax(b,c)})};d3.selectAll(b).on("click",function(){history.pushState(this.href,this.textContent,this.href),d(this.href),d3.event.preventDefault()}),d3.select(window).on("popstate",function(){d3.event.state&&d(d3.event.state)})},a.utils.calcApproxTextWidth=function(b){if(a.utils.isFunction(b.style)&&a.utils.isFunction(b.text)){var c=parseInt(b.style("font-size").replace("px",""),10),d=b.text().length;return a.utils.NaNtoZero(d*c*.5)}return 0},a.utils.NaNtoZero=function(b){return!a.utils.isNumber(b)||isNaN(b)||null===b||b===1/0||b===-(1/0)?0:b},d3.selection.prototype.watchTransition=function(a){var b=[this].concat([].slice.call(arguments,1));return a.transition.apply(a,b)},a.utils.renderWatch=function(b,c){if(!(this instanceof a.utils.renderWatch))return new a.utils.renderWatch(b,c);var d=void 0!==c?c:250,e=[],f=this;this.models=function(a){return a=[].slice.call(arguments,0),a.forEach(function(a){a.__rendered=!1,function(a){a.dispatch.on("renderEnd",function(b){a.__rendered=!0,f.renderEnd("model")})}(a),e.indexOf(a)<0&&e.push(a)}),this},this.reset=function(a){void 0!==a&&(d=a),e=[]},this.transition=function(a,b,c){if(b=arguments.length>1?[].slice.call(arguments,1):[],c=b.length>1?b.pop():void 0!==d?d:250,a.__rendered=!1,e.indexOf(a)<0&&e.push(a),0===c)return a.__rendered=!0,a.delay=function(){return 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x,y,z;switch(c.orient()){case"top":w.enter().append("text").attr("class","nv-axislabel"),z=0,1===d.range().length?z=m?2*d.range()[0]+d.rangeBand():0:2===d.range().length?z=m?d.range()[0]+d.range()[1]+d.rangeBand():d.range()[1]:d.range().length>2&&(z=d.range()[d.range().length-1]+(d.range()[1]-d.range()[0])),w.attr("text-anchor","middle").attr("y",0).attr("x",z/2),i&&(y=q.selectAll("g.nv-axisMaxMin").data(d.domain()),y.enter().append("g").attr("class",function(a,b){return["nv-axisMaxMin","nv-axisMaxMin-x",0==b?"nv-axisMin-x":"nv-axisMax-x"].join(" ")}).append("text"),y.exit().remove(),y.attr("transform",function(b,c){return"translate("+a.utils.NaNtoZero(d(b))+",0)"}).select("text").attr("dy","-0.5em").attr("y",-c.tickPadding()).attr("text-anchor","middle").text(function(a,b){var c=v(a);return(""+c).match("NaN")?"":c}),y.watchTransition(t,"min-max top").attr("transform",function(b,c){return"translate("+a.utils.NaNtoZero(d.range()[c])+",0)"}));break;case"bottom":x=o+36;var A=30,B=0,C=u.selectAll("g").select("text"),D="";if(j%360){C.attr("transform",""),C.each(function(a,b){var c=this.getBoundingClientRect(),d=c.width;B=c.height,d>A&&(A=d)}),D="rotate("+j+" 0,"+(B/2+c.tickPadding())+")";var E=Math.abs(Math.sin(j*Math.PI/180));x=(E?E*A:A)+30,C.attr("transform",D).style("text-anchor",j%360>0?"start":"end")}else 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B=d3.select(this).selectAll("g.nv-wrap.nv-candlestickBar").data([b[0].values]),C=B.enter().append("g").attr("class","nvd3 nv-wrap nv-candlestickBar"),D=C.append("defs"),E=C.append("g"),F=B.select("g");E.append("g").attr("class","nv-ticks"),B.attr("transform","translate("+h.left+","+h.top+")"),c.on("click",function(a,b){z.chartClick({data:a,index:b,pos:d3.event,id:k})}),D.append("clipPath").attr("id","nv-chart-clip-path-"+k).append("rect"),B.select("#nv-chart-clip-path-"+k+" rect").attr("width",x).attr("height",y),F.attr("clip-path",w?"url(#nv-chart-clip-path-"+k+")":"");var G=B.select(".nv-ticks").selectAll(".nv-tick").data(function(a){return a});G.exit().remove();var H=G.enter().append("g");G.attr("class",function(a,b,c){return(p(a,b)>q(a,b)?"nv-tick negative":"nv-tick positive")+" nv-tick-"+c+"-"+b});H.append("line").attr("class","nv-candlestick-lines").attr("transform",function(a,b){return"translate("+l(n(a,b))+",0)"}).attr("x1",0).attr("y1",function(a,b){return 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f.tickFormat()},set:function(a){f.tickFormat(a)}},yTickFormat:{get:function(){return g.tickFormat()},set:function(a){g.tickFormat(a)}},x:{get:function(){return b.x()},set:function(a){b.x(a)}},y:{get:function(){return b.y()},set:function(a){b.y(a)}},rightAlignYAxis:{get:function(){return o},set:function(a){o=a,g.orient(o?"right":"left")}}}),a.utils.inheritOptions(c,b),a.utils.initOptions(c),c},a.models.forceDirectedGraph=function(){"use strict";function b(g){return u.reset(),g.each(function(g){f=d3.select(this),a.utils.initSVG(f);var j=a.utils.availableWidth(d,f,c),u=a.utils.availableHeight(e,f,c);if(f.attr("width",j).attr("height",u),!(g&&g.links&&g.nodes))return a.utils.noData(b,f),b;f.selectAll(".nv-noData").remove(),f.selectAll("*").remove();var v=new Set;g.nodes.forEach(function(a){var b=Object.keys(a);b.forEach(function(a){v.add(a)})});var 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K=H.select(".nv-groups").selectAll(".nv-group").data(function(a){return a},function(a,b){return b});K.enter().append("g").style("stroke-opacity",1e-6).style("fill-opacity",1e-6),K.exit().watchTransition(F,"multibarhorizontal: exit groups").style("stroke-opacity",1e-6).style("fill-opacity",1e-6).remove(),K.attr("class",function(a,b){return"nv-group nv-series-"+b}).classed("hover",function(a){return a.hover}).style("fill",function(a,b){return u(a,b)}).style("stroke",function(a,b){return u(a,b)}),K.watchTransition(F,"multibarhorizontal: groups").style("stroke-opacity",1).style("fill-opacity",B);var L=K.selectAll("g.nv-bar").data(function(a){return a.values});L.exit().remove();var 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\ No newline at end of file diff --git a/bench/perf_monitoring/gemm/run.sh b/bench/perf_monitoring/run.sh index 9d6ee40bc..7e2ea1264 100755 --- a/bench/perf_monitoring/gemm/run.sh +++ b/bench/perf_monitoring/run.sh @@ -1,35 +1,58 @@ #!/bin/bash -# ./run.sh gemm -# ./run.sh lazy_gemm +# ./run.sh gemm gemm_settings.txt +# ./run.sh lazy_gemm lazy_gemm_settings.txt +# ./run.sh gemv gemv_settings.txt +# ./run.sh trmv_up gemv_square_settings.txt +# ... # Examples of environment variables to be set: # PREFIX="haswell-fma-" # CXX_FLAGS="-mfma" +# CXX=clang++ # Options: # -up : enforce the recomputation of existing data, and keep best results as a merging strategy # -s : recompute selected changesets only and keep bests +# -np : no plotting of results, just generate the data bench=$1 +settings_file=$2 -if echo "$*" | grep '\-up' > /dev/null; then +if [[ "$*" =~ '-up' ]]; then update=true else update=false fi -if echo "$*" | grep '\-s' > /dev/null; then +if [[ "$*" =~ '-s' ]]; then selected=true else selected=false fi +if [[ "$*" =~ '-np' ]]; then + do_plot=false +else + do_plot=true +fi + + +WORKING_DIR=${PREFIX:?"default"} + +if [ -z "$PREFIX" ]; then + WORKING_DIR_PREFIX="$WORKING_DIR/" +else + WORKING_DIR_PREFIX="$WORKING_DIR/$PREFIX-" +fi +echo "WORKING_DIR_PREFIX=$WORKING_DIR_PREFIX" +mkdir -p $WORKING_DIR + global_args="$*" -if [ $selected == true ]; then +if $selected ; then echo "Recompute selected changesets only and keep bests" -elif [ $update == true ]; then +elif $update ; then echo "(Re-)Compute all changesets and keep bests" else echo "Skip previously computed changesets" @@ -38,14 +61,14 @@ fi if [ ! -d "eigen_src" ]; then - hg clone https://bitbucket.org/eigen/eigen eigen_src + git clone https://gitlab.com/libeigen/eigen.git eigen_src else cd eigen_src - hg pull -u + git pull cd .. fi -if [ ! -z '$CXX' ]; then +if [ -z "$CXX" ]; then CXX=g++ fi @@ -84,11 +107,11 @@ function test_current prev="" if [ -e "$name.backup" ]; then - prev=`grep $rev "$name.backup" | cut -c 14-` + prev=`grep $rev "$name.backup" | cut -d ' ' -f 2-` fi res=$prev count_rev=`echo $prev | wc -w` - count_ref=`cat $bench"_settings.txt" | wc -l` + count_ref=`cat $settings_file | wc -l` if echo "$global_args" | grep "$rev" > /dev/null; then rev_found=true else @@ -96,9 +119,10 @@ function test_current fi # echo $update et $selected et $rev_found because $rev et "$global_args" # echo $count_rev et $count_ref - if [ $update == true ] || [ $count_rev != $count_ref ] || ([ $selected == true ] && [ $rev_found == true ]); then - if $CXX -O2 -DNDEBUG -march=native $CXX_FLAGS -I eigen_src $bench.cpp -DSCALAR=$scalar -o $name; then - curr=`./$name` + if $update || [ $count_rev != $count_ref ] || ( $selected && $rev_found ); then + echo "RUN: $CXX -O3 -DNDEBUG -march=native $CXX_FLAGS -I eigen_src $bench.cpp -DSCALAR=$scalar -o $name" + if $CXX -O3 -DNDEBUG -march=native $CXX_FLAGS -I eigen_src $bench.cpp -DSCALAR=$scalar -o $name; then + curr=`./$name $settings_file` if [ $count_rev == $count_ref ]; then echo "merge previous $prev" echo "with new $curr" @@ -117,40 +141,43 @@ function test_current fi } -make_backup $PREFIX"s"$bench -make_backup $PREFIX"d"$bench -make_backup $PREFIX"c"$bench +make_backup $WORKING_DIR_PREFIX"s"$bench +make_backup $WORKING_DIR_PREFIX"d"$bench +make_backup $WORKING_DIR_PREFIX"c"$bench cut -f1 -d"#" < changesets.txt | grep -E '[[:alnum:]]' | while read rev do if [ ! -z '$rev' ]; then - echo "Testing rev $rev" + rev2=`echo $rev | cut -f 2 -d':'` + echo "Testing rev $rev, $rev2" cd eigen_src - hg up -C $rev > /dev/null - actual_rev=`hg identify | cut -f1 -d' '` + git checkout $rev2 > /dev/null + actual_rev=`git rev-parse --short HEAD` cd .. - test_current $actual_rev float $PREFIX"s"$bench - test_current $actual_rev double $PREFIX"d"$bench - test_current $actual_rev "std::complex<double>" $PREFIX"c"$bench + test_current $actual_rev float $WORKING_DIR_PREFIX"s"$bench + test_current $actual_rev double $WORKING_DIR_PREFIX"d"$bench + test_current $actual_rev "std::complex<double>" $WORKING_DIR_PREFIX"c"$bench fi done echo "Float:" -cat $PREFIX"s""$bench.out" +cat $WORKING_DIR_PREFIX"s""$bench.out" echo " " echo "Double:" -cat $PREFIX"d""$bench.out" +cat $WORKING_DIR_PREFIX"d""$bench.out" echo "" echo "Complex:" -cat $PREFIX"c""$bench.out" +cat $WORKING_DIR_PREFIX"c""$bench.out" echo "" -./make_plot.sh $PREFIX"s"$bench $bench -./make_plot.sh $PREFIX"d"$bench $bench -./make_plot.sh $PREFIX"c"$bench $bench +if $do_plot ; then +./make_plot.sh $WORKING_DIR_PREFIX"s"$bench $bench $settings_file +./make_plot.sh $WORKING_DIR_PREFIX"d"$bench $bench $settings_file +./make_plot.sh $WORKING_DIR_PREFIX"c"$bench $bench $settings_file +fi diff --git a/bench/perf_monitoring/runall.sh b/bench/perf_monitoring/runall.sh new file mode 100755 index 000000000..cdbe48eb8 --- /dev/null +++ b/bench/perf_monitoring/runall.sh @@ -0,0 +1,72 @@ +#!/bin/bash + +# ./runall.sh "Title" + +# Examples of environment variables to be set: +# PREFIX="haswell-fma-" +# CXX_FLAGS="-mfma" +# CXX=clang++ + +# Options: +# -up : enforce the recomputation of existing data, and keep best results as a merging strategy +# -s : recompute selected changesets only and keep bests +# -np : no plotting of results, just generate the data + +if [[ "$*" =~ '-np' ]]; then + do_plot=false +else + do_plot=true +fi + +./run.sh gemm gemm_settings.txt $* +./run.sh lazy_gemm lazy_gemm_settings.txt $* +./run.sh gemv gemv_settings.txt $* +./run.sh gemvt gemv_settings.txt $* +./run.sh trmv_up gemv_square_settings.txt $* +./run.sh trmv_lo gemv_square_settings.txt $* +./run.sh trmv_upt gemv_square_settings.txt $* +./run.sh trmv_lot gemv_square_settings.txt $* +./run.sh llt gemm_square_settings.txt $* + +if $do_plot ; then + +# generate html file + +function print_td { + echo '<td><a href="'$PREFIX'-'$1"$2"'.html"><img src="'$PREFIX'-'$1"$2"'.png" title="'$3'"></a></td>' >> $htmlfile +} + +function print_tr { + echo '<tr><th colspan="3">'"$2"'</th></tr>' >> $htmlfile + echo '<tr>' >> $htmlfile + print_td s $1 float + print_td d $1 double + print_td c $1 complex + echo '</tr>' >> $htmlfile +} + +if [ -n "$PREFIX" ]; then + + +cp resources/s1.js $PREFIX/ +cp resources/s2.js $PREFIX/ + +htmlfile="$PREFIX/index.html" +cat resources/header.html > $htmlfile + +echo '<h1>'$1'</h1>' >> $htmlfile +echo '<table>' >> $htmlfile +print_tr gemm 'C += A · B (gemm)' +print_tr lazy_gemm 'C += A · B (gemm lazy)' +print_tr gemv 'y += A · x (gemv)' +print_tr gemvt 'y += A<sup>T</sup> · x (gemv)' +print_tr trmv_up 'y += U · x (trmv)' +print_tr trmv_upt 'y += U<sup>T</sup> · x (trmv)' +print_tr trmv_lo 'y += L · x (trmv)' +print_tr trmv_lot 'y += L<sup>T</sup> · x (trmv)' +print_tr trmv_lot 'L · L<sup>T<sup> = A (Cholesky,potrf)' + +cat resources/footer.html >> $htmlfile + +fi +fi diff --git a/bench/perf_monitoring/trmv_lo.cpp b/bench/perf_monitoring/trmv_lo.cpp new file mode 100644 index 000000000..3fabb6e54 --- /dev/null +++ b/bench/perf_monitoring/trmv_lo.cpp @@ -0,0 +1,12 @@ +#include "gemv_common.h" + +EIGEN_DONT_INLINE +void trmv(const Mat &A, const Vec &B, Vec &C) +{ + C.noalias() += A.triangularView<Lower>() * B; +} + +int main(int argc, char **argv) +{ + return main_gemv(argc, argv, trmv); +} diff --git a/bench/perf_monitoring/trmv_lot.cpp b/bench/perf_monitoring/trmv_lot.cpp new file mode 100644 index 000000000..32e085aaf --- /dev/null +++ b/bench/perf_monitoring/trmv_lot.cpp @@ -0,0 +1,12 @@ +#include "gemv_common.h" + +EIGEN_DONT_INLINE +void trmv(const Mat &A, Vec &B, const Vec &C) +{ + B.noalias() += A.transpose().triangularView<Lower>() * C; +} + +int main(int argc, char **argv) +{ + return main_gemv(argc, argv, trmv); +} diff --git a/bench/perf_monitoring/trmv_up.cpp b/bench/perf_monitoring/trmv_up.cpp new file mode 100644 index 000000000..c58e471ec --- /dev/null +++ b/bench/perf_monitoring/trmv_up.cpp @@ -0,0 +1,12 @@ +#include "gemv_common.h" + +EIGEN_DONT_INLINE +void trmv(const Mat &A, const Vec &B, Vec &C) +{ + C.noalias() += A.triangularView<Upper>() * B; +} + +int main(int argc, char **argv) +{ + return main_gemv(argc, argv, trmv); +} diff --git a/bench/perf_monitoring/trmv_upt.cpp b/bench/perf_monitoring/trmv_upt.cpp new file mode 100644 index 000000000..511e00885 --- /dev/null +++ b/bench/perf_monitoring/trmv_upt.cpp @@ -0,0 +1,12 @@ +#include "gemv_common.h" + +EIGEN_DONT_INLINE +void trmv(const Mat &A, Vec &B, const Vec &C) +{ + B.noalias() += A.transpose().triangularView<Upper>() * C; +} + +int main(int argc, char **argv) +{ + return main_gemv(argc, argv, trmv); +} diff --git a/bench/sparse_randomsetter.cpp b/bench/sparse_randomsetter.cpp index 19a76e38d..c43374212 100644 --- a/bench/sparse_randomsetter.cpp +++ b/bench/sparse_randomsetter.cpp @@ -1,6 +1,7 @@ #define NOGMM #define NOMTL +#define EIGEN_GOOGLEHASH_SUPPORT 1 #include <map> #include <ext/hash_map> diff --git a/bench/spbench/CMakeLists.txt b/bench/spbench/CMakeLists.txt index 932735698..b1860049c 100644 --- a/bench/spbench/CMakeLists.txt +++ b/bench/spbench/CMakeLists.txt @@ -11,9 +11,9 @@ set(SPARSE_LIBS "") # if(PARDISO_LIBRARIES) # add_definitions("-DEIGEN_PARDISO_SUPPORT") # set(SPARSE_LIBS ${SPARSE_LIBS} ${PARDISO_LIBRARIES}) -# endif(PARDISO_LIBRARIES) +# endif() -find_package(Cholmod) +find_package(CHOLMOD) if(CHOLMOD_FOUND AND BLAS_FOUND AND LAPACK_FOUND) add_definitions("-DEIGEN_CHOLMOD_SUPPORT") include_directories(${CHOLMOD_INCLUDES}) @@ -21,7 +21,7 @@ if(CHOLMOD_FOUND AND BLAS_FOUND AND LAPACK_FOUND) set(CHOLMOD_ALL_LIBS ${CHOLMOD_LIBRARIES} ${BLAS_LIBRARIES} ${LAPACK_LIBRARIES}) endif() -find_package(Umfpack) +find_package(UMFPACK) if(UMFPACK_FOUND AND BLAS_FOUND) add_definitions("-DEIGEN_UMFPACK_SUPPORT") include_directories(${UMFPACK_INCLUDES}) @@ -29,8 +29,15 @@ if(UMFPACK_FOUND AND BLAS_FOUND) set(UMFPACK_ALL_LIBS ${UMFPACK_LIBRARIES} ${BLAS_LIBRARIES}) endif() +find_package(KLU) +if(KLU_FOUND) + add_definitions("-DEIGEN_KLU_SUPPORT") + include_directories(${KLU_INCLUDES}) + set(SPARSE_LIBS ${SPARSE_LIBS} ${KLU_LIBRARIES}) +endif() + find_package(SuperLU 4.0) -if(SUPERLU_FOUND AND BLAS_FOUND) +if(SuperLU_FOUND AND BLAS_FOUND) add_definitions("-DEIGEN_SUPERLU_SUPPORT") include_directories(${SUPERLU_INCLUDES}) set(SPARSE_LIBS ${SPARSE_LIBS} ${SUPERLU_LIBRARIES} ${BLAS_LIBRARIES}) @@ -57,21 +64,21 @@ if(PASTIX_FOUND AND PASTIX_pastix_nompi.h_INCLUDE_DIRS AND BLAS_FOUND) elseif(METIS_FOUND) include_directories(${METIS_INCLUDE_DIRS}) set(PASTIX_LIBRARIES ${PASTIX_LIBRARIES} ${METIS_LIBRARIES}) - endif(SCOTCH_FOUND) + endif() set(SPARSE_LIBS ${SPARSE_LIBS} ${PASTIX_LIBRARIES_DEP} ${ORDERING_LIBRARIES}) set(PASTIX_ALL_LIBS ${PASTIX_LIBRARIES_DEP}) -endif(PASTIX_FOUND AND BLAS_FOUND) +endif() if(METIS_FOUND) include_directories(${METIS_INCLUDE_DIRS}) set (SPARSE_LIBS ${SPARSE_LIBS} ${METIS_LIBRARIES}) add_definitions("-DEIGEN_METIS_SUPPORT") -endif(METIS_FOUND) +endif() find_library(RT_LIBRARY rt) if(RT_LIBRARY) set(SPARSE_LIBS ${SPARSE_LIBS} ${RT_LIBRARY}) -endif(RT_LIBRARY) +endif() add_executable(spbenchsolver spbenchsolver.cpp) target_link_libraries (spbenchsolver ${SPARSE_LIBS}) diff --git a/bench/spbench/sp_solver.cpp b/bench/spbench/sp_solver.cpp index a1f4bac8a..75821a620 100644 --- a/bench/spbench/sp_solver.cpp +++ b/bench/spbench/sp_solver.cpp @@ -122,4 +122,4 @@ int main(int argc, char **args) // std::cout<<x.transpose()<<"\n"; return 0; -}
\ No newline at end of file +} diff --git a/bench/spbench/spbenchsolver.cpp b/bench/spbench/spbenchsolver.cpp index 4acd0039c..2a7351124 100644 --- a/bench/spbench/spbenchsolver.cpp +++ b/bench/spbench/spbenchsolver.cpp @@ -54,7 +54,7 @@ int main(int argc, char ** args) statbuf.close(); } else - std::cerr << "Unable to open the provided file for writting... \n"; + std::cerr << "Unable to open the provided file for writing... \n"; } // Get the maximum number of iterations and the tolerance diff --git a/bench/spbench/spbenchsolver.h b/bench/spbench/spbenchsolver.h index 19c719c04..8f59d1071 100644 --- a/bench/spbench/spbenchsolver.h +++ b/bench/spbench/spbenchsolver.h @@ -37,6 +37,10 @@ #include <Eigen/UmfPackSupport> #endif +#ifdef EIGEN_KLU_SUPPORT +#include <Eigen/KLUSupport> +#endif + #ifdef EIGEN_PARDISO_SUPPORT #include <Eigen/PardisoSupport> #endif @@ -51,6 +55,7 @@ // CONSTANTS #define EIGEN_UMFPACK 10 +#define EIGEN_KLU 11 #define EIGEN_SUPERLU 20 #define EIGEN_PASTIX 30 #define EIGEN_PARDISO 40 @@ -109,6 +114,12 @@ void printStatheader(std::ofstream& out) out << " <PACKAGE> UMFPACK </PACKAGE> \n"; out << " </SOLVER> \n"; #endif +#ifdef EIGEN_KLU_SUPPORT + out <<" <SOLVER ID='" << EIGEN_KLU << "'>\n"; + out << " <TYPE> LU </TYPE> \n"; + out << " <PACKAGE> KLU </PACKAGE> \n"; + out << " </SOLVER> \n"; +#endif #ifdef EIGEN_SUPERLU_SUPPORT out <<" <SOLVER ID='" << EIGEN_SUPERLU << "'>\n"; out << " <TYPE> LU </TYPE> \n"; @@ -316,6 +327,14 @@ void SelectSolvers(const SparseMatrix<Scalar>&A, unsigned int sym, Matrix<Scalar call_directsolver(solver, EIGEN_UMFPACK, A, b, refX,statFile); } #endif + //KLU + #ifdef EIGEN_KLU_SUPPORT + { + cout << "Solving with KLU LU ... \n"; + KLU<SpMat> solver; + call_directsolver(solver, EIGEN_KLU, A, b, refX,statFile); + } + #endif //SuperLU #ifdef EIGEN_SUPERLU_SUPPORT { diff --git a/bench/spbench/test_sparseLU.cpp b/bench/spbench/test_sparseLU.cpp index f8ecbe69b..a4cade641 100644 --- a/bench/spbench/test_sparseLU.cpp +++ b/bench/spbench/test_sparseLU.cpp @@ -90,4 +90,4 @@ int main(int argc, char **args) cout << "Number of nonzeros in the factor : " << solver.nnzL() + solver.nnzU() << std::endl; return 0; -}
\ No newline at end of file +} diff --git a/bench/tensors/README b/bench/tensors/README index 3a5fdbe17..dcbf0217a 100644 --- a/bench/tensors/README +++ b/bench/tensors/README @@ -11,11 +11,10 @@ nvcc tensor_benchmarks_gpu.cu benchmark_main.cc -I ../../ -std=c++11 -O2 -DNDEBU We also provide a version of the generic GPU tensor benchmarks that uses half floats (aka fp16) instead of regular floats. To compile these benchmarks, simply call the command line below. You'll need a recent GPU that supports compute capability 5.3 or higher to run them and nvcc 7.5 or higher to compile the code. nvcc tensor_benchmarks_fp16_gpu.cu benchmark_main.cc -I ../../ -std=c++11 -O2 -DNDEBUG -use_fast_math -ftz=true -arch compute_53 -o benchmarks_fp16_gpu -last but not least, we also provide a suite of benchmarks to measure the scalability of the contraction code on CPU. To compile these benchmarks, call -g++ contraction_benchmarks_cpu.cc benchmark_main.cc -I ../../ -std=c++11 -O3 -DNDEBUG -pthread -mavx -o benchmarks_cpu +To compile and run the benchmark for SYCL, using ComputeCpp, simply run the +following commands: +1. export COMPUTECPP_PACKAGE_ROOT_DIR={PATH TO COMPUTECPP ROOT DIRECTORY} +2. bash eigen_sycl_bench.sh -To compile the benchmark for SYCL, using ComputeCpp you currently need 2 passes (only for translation units containing device code): -1. The device compilation pass that generates the device code (SYCL kernels and referenced device functions) and glue code needed by the host compiler to reference the device code from host code. -{ComputeCpp_ROOT}/bin/compute++ -I ../../ -I {ComputeCpp_ROOT}/include/ -std=c++11 -mllvm -inline-threshold=1000 -Wno-ignored-attributes -sycl -intelspirmetadata -emit-llvm -no-serial-memop -sycl-compress-name -DBUILD_PLATFORM_SPIR -DNDBUG -O3 -c tensor_benchmarks_sycl.cc -2. The host compilation pass that generates the final host binary. -clang++-3.7 -include tensor_benchmarks_sycl.sycl benchmark_main.cc tensor_benchmarks_sycl.cc -pthread -I ../../ -I {ComputeCpp_ROOT}/include/ -L {ComputeCpp_ROOT}/lib/ -lComputeCpp -lOpenCL -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++11 -o tensor_benchmark_sycl +Last but not least, we also provide a suite of benchmarks to measure the scalability of the contraction code on CPU. To compile these benchmarks, call +g++ contraction_benchmarks_cpu.cc benchmark_main.cc -I ../../ -std=c++11 -O3 -DNDEBUG -pthread -mavx -o benchmarks_cpu diff --git a/bench/tensors/eigen_sycl_bench.sh b/bench/tensors/eigen_sycl_bench.sh new file mode 100755 index 000000000..3f67b3d86 --- /dev/null +++ b/bench/tensors/eigen_sycl_bench.sh @@ -0,0 +1,30 @@ +rm -f tensor_benchmark_sycl +: "${COMPUTECPP_PACKAGE_ROOT_DIR:?Need to set COMPUTECPP_PACKAGE_ROOT_DIR}" +echo "COMPUTECPP_PACKAGE_ROOT_DIR is set to: "$COMPUTECPP_PACKAGE_ROOT_DIR +${COMPUTECPP_PACKAGE_ROOT_DIR}/bin/compute++ \ +tensor_benchmarks_sycl.cc \ +benchmark_main.cc \ +-I ../../ \ +-I ${COMPUTECPP_PACKAGE_ROOT_DIR}/include/ \ +-std=c++11 \ +-march=native \ +-O3 \ +-DNDEBUG \ +-DEIGEN_MPL2_ONLY \ +-DEIGEN_USE_SYCL=1 \ +-DEIGEN_SYCL_LOCAL_MEM=1 \ +-no-serial-memop \ +-mllvm \ +-inline-threshold=10000 \ +-fsycl-ih-last \ +-sycl-driver \ +-Xclang -cl-mad-enable \ +-lOpenCL \ +-lComputeCpp \ +-lpthread \ +-o \ +tensor_benchmark_sycl\ +${@:1} + +export LD_LIBRARY_PATH=${COMPUTECPP_PACKAGE_ROOT_DIR}/lib:$LD_LIBRARY_PATH +./tensor_benchmark_sycl diff --git a/bench/tensors/eigen_sycl_bench_contract.sh b/bench/tensors/eigen_sycl_bench_contract.sh new file mode 100644 index 000000000..73fd6c4a0 --- /dev/null +++ b/bench/tensors/eigen_sycl_bench_contract.sh @@ -0,0 +1,7 @@ +rm -f tensor_contract_sycl_bench +: "${COMPUTECPP_PACKAGE_ROOT_DIR:?Need to set COMPUTECPP_PACKAGE_ROOT_DIR}" +echo "COMPUTECPP_PACKAGE_ROOT_DIR is set to: "$COMPUTECPP_PACKAGE_ROOT_DIR +${COMPUTECPP_PACKAGE_ROOT_DIR}/bin/compute++ tensor_contract_sycl_bench.cc -I ../../ -I ${COMPUTECPP_PACKAGE_ROOT_DIR}/include/ -std=c++11 -O3 -DNDEBUG -DEIGEN_MPL2_ONLY -DEIGEN_USE_SYCL=1 -no-serial-memop -mllvm -inline-threshold=10000 -fsycl-ih-last -sycl-driver -Xclang -cl-mad-enable -lOpenCL -lComputeCpp -lpthread -o tensor_contract_sycl_bench ${@:1} +export LD_LIBRARY_PATH=${COMPUTECPP_PACKAGE_ROOT_DIR}/lib:$LD_LIBRARY_PATH +./tensor_contract_sycl_bench + diff --git a/bench/tensors/tensor_benchmarks.h b/bench/tensors/tensor_benchmarks.h index c2fb3dede..0825e1563 100644 --- a/bench/tensors/tensor_benchmarks.h +++ b/bench/tensors/tensor_benchmarks.h @@ -27,6 +27,11 @@ template <typename Device, typename T> class BenchmarkSuite { initialize(); } + BenchmarkSuite(const Device& device, size_t m, size_t k) + : m_(1), k_(k), n_(m), device_(device) { + initialize(); + } + ~BenchmarkSuite() { device_.deallocate(a_); device_.deallocate(b_); @@ -35,6 +40,11 @@ template <typename Device, typename T> class BenchmarkSuite { void memcpy(int num_iters) { eigen_assert(m_ == k_ && k_ == n_); +#ifdef EIGEN_USE_SYCL // warmup for sycl + for (int iter = 0; iter < 10; ++iter) { + device_.memcpy(c_, a_, m_ * m_ * sizeof(T)); + } +#endif StartBenchmarkTiming(); for (int iter = 0; iter < num_iters; ++iter) { device_.memcpy(c_, a_, m_ * m_ * sizeof(T)); @@ -55,7 +65,11 @@ template <typename Device, typename T> class BenchmarkSuite { } const TensorMap<Tensor<int, 2, 0, TensorIndex>, Eigen::Aligned> A((int*)a_, sizes); TensorMap<Tensor<T, 2, 0, TensorIndex>, Eigen::Aligned> B(b_, sizes); - +#ifdef EIGEN_USE_SYCL // warmup for sycl + for (int iter = 0; iter < 10; ++iter) { + B.device(device_) = A.template cast<T>(); + } +#endif StartBenchmarkTiming(); for (int iter = 0; iter < num_iters; ++iter) { B.device(device_) = A.template cast<T>(); @@ -70,7 +84,11 @@ template <typename Device, typename T> class BenchmarkSuite { sizes[0] = m_; sizes[1] = m_; TensorMap<Tensor<T, 2>, Eigen::Aligned> C(c_, sizes); - +#ifdef EIGEN_USE_SYCL // warmup for sycl + for (int iter = 0; iter < 10; ++iter) { + C.device(device_) = C.random(); + } +#endif StartBenchmarkTiming(); for (int iter = 0; iter < num_iters; ++iter) { C.device(device_) = C.random(); @@ -93,7 +111,18 @@ template <typename Device, typename T> class BenchmarkSuite { const Eigen::DSizes<TensorIndex, 2> second_quadrant(0, m_/2); const Eigen::DSizes<TensorIndex, 2> third_quadrant(m_/2, 0); const Eigen::DSizes<TensorIndex, 2> fourth_quadrant(m_/2, m_/2); - +#ifdef EIGEN_USE_SYCL // warmup for sycl + for (int iter = 0; iter < 10; ++iter) { + C.slice(first_quadrant, quarter_sizes).device(device_) = + A.slice(first_quadrant, quarter_sizes); + C.slice(second_quadrant, quarter_sizes).device(device_) = + B.slice(second_quadrant, quarter_sizes); + C.slice(third_quadrant, quarter_sizes).device(device_) = + A.slice(third_quadrant, quarter_sizes); + C.slice(fourth_quadrant, quarter_sizes).device(device_) = + B.slice(fourth_quadrant, quarter_sizes); + } +#endif StartBenchmarkTiming(); for (int iter = 0; iter < num_iters; ++iter) { C.slice(first_quadrant, quarter_sizes).device(device_) = @@ -118,7 +147,11 @@ template <typename Device, typename T> class BenchmarkSuite { Eigen::array<TensorIndex, 1> output_size; output_size[0] = n_; TensorMap<Tensor<T, 1, 0, TensorIndex>, Eigen::Aligned> C(c_, output_size); - +#ifdef EIGEN_USE_SYCL // warmup for sycl + for (int iter = 0; iter < 10; ++iter) { + C.device(device_) = B.chip(iter % k_, 0); + } +#endif StartBenchmarkTiming(); for (int iter = 0; iter < num_iters; ++iter) { C.device(device_) = B.chip(iter % k_, 0); @@ -135,7 +168,11 @@ template <typename Device, typename T> class BenchmarkSuite { Eigen::array<TensorIndex, 1> output_size; output_size[0] = n_; TensorMap<Tensor<T, 1, 0, TensorIndex>, Eigen::Aligned> C(c_, output_size); - +#ifdef EIGEN_USE_SYCL // warmup for sycl + for (int iter = 0; iter < 10; ++iter) { + C.device(device_) = B.chip(iter % n_, 1); + } +#endif StartBenchmarkTiming(); for (int iter = 0; iter < num_iters; ++iter) { C.device(device_) = B.chip(iter % n_, 1); @@ -158,7 +195,11 @@ template <typename Device, typename T> class BenchmarkSuite { Eigen::array<int, 2> shuffle; shuffle[0] = 1; shuffle[1] = 0; - +#ifdef EIGEN_USE_SYCL // warmup for sycl + for (int iter = 0; iter < 10; ++iter) { + B.device(device_) = A.shuffle(shuffle); + } +#endif StartBenchmarkTiming(); for (int iter = 0; iter < num_iters; ++iter) { B.device(device_) = A.shuffle(shuffle); @@ -186,7 +227,11 @@ template <typename Device, typename T> class BenchmarkSuite { paddings[0] = Eigen::IndexPair<TensorIndex>(0, 0); paddings[1] = Eigen::IndexPair<TensorIndex>(2, 1); #endif - +#ifdef EIGEN_USE_SYCL // warmup for sycl + for (int iter = 0; iter < 10; ++iter) { + B.device(device_) = A.pad(paddings); + } +#endif StartBenchmarkTiming(); for (int iter = 0; iter < num_iters; ++iter) { B.device(device_) = A.pad(paddings); @@ -216,6 +261,11 @@ template <typename Device, typename T> class BenchmarkSuite { Eigen::IndexList<Eigen::type2index<1>, Eigen::type2index<2> > strides; #endif +#ifdef EIGEN_USE_SYCL // warmup for sycl + for (int iter = 0; iter < 10; ++iter) { + B.device(device_) = A.stride(strides); + } +#endif StartBenchmarkTiming(); for (int iter = 0; iter < num_iters; ++iter) { B.device(device_) = A.stride(strides); @@ -224,6 +274,7 @@ template <typename Device, typename T> class BenchmarkSuite { finalizeBenchmark(static_cast<int64_t>(m_) * k_ * num_iters); } + void broadcasting(int num_iters) { Eigen::array<TensorIndex, 2> size_a; size_a[0] = m_; @@ -245,6 +296,11 @@ template <typename Device, typename T> class BenchmarkSuite { broadcast.set(1, n_); #endif +#ifdef EIGEN_USE_SYCL // warmup for sycl + for (int iter = 0; iter < 10; ++iter) { + C.device(device_) = A.broadcast(broadcast); + } +#endif StartBenchmarkTiming(); for (int iter = 0; iter < num_iters; ++iter) { C.device(device_) = A.broadcast(broadcast); @@ -261,7 +317,11 @@ template <typename Device, typename T> class BenchmarkSuite { const TensorMap<Tensor<T, 2>, Eigen::Aligned> A(a_, sizes); const TensorMap<Tensor<T, 2>, Eigen::Aligned> B(b_, sizes); TensorMap<Tensor<T, 2>, Eigen::Aligned> C(c_, sizes); - +#ifdef EIGEN_USE_SYCL // warmup for sycl + for (int iter = 0; iter < 10; ++iter) { + C.device(device_) = A * A.constant(static_cast<T>(3.14)) + B * B.constant(static_cast<T>(2.7)); + } +#endif StartBenchmarkTiming(); for (int iter = 0; iter < num_iters; ++iter) { C.device(device_) = A * A.constant(static_cast<T>(3.14)) + B * B.constant(static_cast<T>(2.7)); @@ -280,6 +340,11 @@ template <typename Device, typename T> class BenchmarkSuite { const TensorMap<Tensor<T, 2>, Eigen::Aligned> B(b_, sizes); TensorMap<Tensor<T, 2>, Eigen::Aligned> C(c_, sizes); +#ifdef EIGEN_USE_SYCL // warmup for sycl +for (int iter = 0; iter < 10; ++iter) { + C.device(device_) = A.rsqrt() + B.sqrt() * B.square(); +} +#endif StartBenchmarkTiming(); for (int iter = 0; iter < num_iters; ++iter) { C.device(device_) = A.rsqrt() + B.sqrt() * B.square(); @@ -297,7 +362,11 @@ template <typename Device, typename T> class BenchmarkSuite { const TensorMap<Tensor<T, 2>, Eigen::Aligned> A(a_, sizes); const TensorMap<Tensor<T, 2>, Eigen::Aligned> B(b_, sizes); TensorMap<Tensor<T, 2>, Eigen::Aligned> C(c_, sizes); - +#ifdef EIGEN_USE_SYCL // warmup for sycl + for (int iter = 0; iter < 10; ++iter) { + C.device(device_) = A.exp() + B.log(); + } +#endif StartBenchmarkTiming(); for (int iter = 0; iter < num_iters; ++iter) { C.device(device_) = A.exp() + B.log(); @@ -325,7 +394,11 @@ template <typename Device, typename T> class BenchmarkSuite { // optimize the code. Eigen::IndexList<Eigen::type2index<0>> sum_along_dim; #endif - +#ifdef EIGEN_USE_SYCL // warmup for sycl + for (int iter = 0; iter < 10; ++iter) { + C.device(device_) = B.sum(sum_along_dim); + } +#endif StartBenchmarkTiming(); for (int iter = 0; iter < num_iters; ++iter) { C.device(device_) = B.sum(sum_along_dim); @@ -344,8 +417,8 @@ template <typename Device, typename T> class BenchmarkSuite { b_, input_size); Eigen::array<TensorIndex, 1> output_size; output_size[0] = k_; - TensorMap<Tensor<T, 1, 0, TensorIndex>, Eigen::Aligned> C( - c_, output_size); + TensorMap<Tensor<T, 1, 0, TensorIndex>, Eigen::Aligned> A( + a_, output_size); #ifndef EIGEN_HAS_INDEX_LIST Eigen::array<TensorIndex, 1> sum_along_dim; @@ -355,10 +428,14 @@ template <typename Device, typename T> class BenchmarkSuite { // optimize the code. Eigen::IndexList<Eigen::type2index<1>> sum_along_dim; #endif - +#ifdef EIGEN_USE_SYCL // warmup for sycl + for (int iter = 0; iter < 10; ++iter) { + A.device(device_) = B.sum(sum_along_dim); + } +#endif StartBenchmarkTiming(); for (int iter = 0; iter < num_iters; ++iter) { - C.device(device_) = B.sum(sum_along_dim); + A.device(device_) = B.sum(sum_along_dim); } // Record the number of FLOP executed per second (assuming one operation // per value) @@ -375,7 +452,11 @@ template <typename Device, typename T> class BenchmarkSuite { Eigen::array<TensorIndex, 0> output_size; TensorMap<Tensor<T, 0, 0, TensorIndex>, Eigen::Aligned> C( c_, output_size); - +#ifdef EIGEN_USE_SYCL // warmup for sycl + for (int iter = 0; iter < 10; ++iter) { + C.device(device_) = B.sum(); + } +#endif StartBenchmarkTiming(); for (int iter = 0; iter < num_iters; ++iter) { C.device(device_) = B.sum(); @@ -385,33 +466,27 @@ template <typename Device, typename T> class BenchmarkSuite { finalizeBenchmark(static_cast<int64_t>(k_) * n_ * num_iters); } + + // do a contraction which is equivalent to a matrix multiplication void contraction(int num_iters) { - Eigen::array<TensorIndex, 2> sizeA; - sizeA[0] = m_; - sizeA[1] = k_; - Eigen::array<TensorIndex, 2> sizeB; - sizeB[0] = k_; - sizeB[1] = n_; - Eigen::array<TensorIndex, 2> sizeC; - sizeC[0] = m_; - sizeC[1] = n_; + contraction<static_cast<int>(Eigen::ColMajor)>(num_iters, false, false); + } - const TensorMap<Tensor<T, 2>, Eigen::Aligned> A(a_, sizeA); - const TensorMap<Tensor<T, 2>, Eigen::Aligned> B(b_, sizeB); - TensorMap<Tensor<T, 2>, Eigen::Aligned> C(c_, sizeC); + void contractionRowMajor(int num_iters) { + contraction<static_cast<int>(Eigen::RowMajor)>(num_iters, false, false); + } + + void contractionRowMajorAT(int num_iters) { + contraction<static_cast<int>(Eigen::RowMajor)>(num_iters, true, false); + } - typedef typename Tensor<T, 2>::DimensionPair DimPair; - Eigen::array<DimPair, 1> dims; - dims[0] = DimPair(1, 0); + void contractionRowMajorBT(int num_iters) { + contraction<static_cast<int>(Eigen::RowMajor)>(num_iters, false, true); + } - StartBenchmarkTiming(); - for (int iter = 0; iter < num_iters; ++iter) { - C.device(device_) = A.contract(B, dims); - } - // Record the number of FLOP executed per second (size_ multiplications and - // additions for each value in the resulting tensor) - finalizeBenchmark(static_cast<int64_t>(2) * m_ * n_ * k_ * num_iters); + void contractionRowMajorABT(int num_iters) { + contraction<static_cast<int>(Eigen::RowMajor)>(num_iters, true, true); } void convolution(int num_iters, int kernel_x, int kernel_y) { @@ -430,18 +505,58 @@ template <typename Device, typename T> class BenchmarkSuite { Eigen::array<TensorIndex, 2> dims; dims[0] = 0; dims[1] = 1; - +#ifdef EIGEN_USE_SYCL // warmup for sycl + for (int iter = 0; iter < 10; ++iter) { + C.device(device_) = A.convolve(B, dims); + } +#endif StartBenchmarkTiming(); for (int iter = 0; iter < num_iters; ++iter) { C.device(device_) = A.convolve(B, dims); } - // Record the number of FLOP executed per second (kernel_size + // Record the number of FLOPs executed per second (kernel_size // multiplications and additions for each value in the resulting tensor) finalizeBenchmark(static_cast<int64_t>(2) * (m_ - kernel_x + 1) * (n_ - kernel_y + 1) * kernel_x * kernel_y * num_iters); } private: + // do a contraction which is equivalent to a matrix multiplication + template<int Layout> + void contraction(int num_iters, bool trans_a, bool trans_b) { + Eigen::array<TensorIndex, 2> sizeA; + sizeA[0] = (trans_a ? k_: m_); + sizeA[1] = (trans_a ? m_: k_); + Eigen::array<TensorIndex, 2> sizeB; + sizeB[0] = (trans_b ? n_: k_); + sizeB[1] = (trans_b ? k_: n_); + Eigen::array<TensorIndex, 2> sizeC; + sizeC[0] = m_; + sizeC[1] = n_; + + const TensorMap<Tensor<T, 2, Layout>, Eigen::Aligned> A(a_, sizeA); + const TensorMap<Tensor<T, 2, Layout>, Eigen::Aligned> B(b_, sizeB); + TensorMap<Tensor<T, 2, Layout>, Eigen::Aligned> C(c_, sizeC); + + typedef typename Tensor<T, 2, Layout>::DimensionPair DimPair; + Eigen::array<DimPair, 1> dims; + TensorIndex a_contract_dim = (trans_a ? 0 : 1); + TensorIndex b_contract_dim = (trans_b ? 1 : 0); + dims[0] = DimPair(a_contract_dim, b_contract_dim); +#ifdef EIGEN_USE_SYCL // warmup for sycl + for (int iter = 0; iter < 10; ++iter) { + C.device(device_) = A.contract(B, dims); + } +#endif + StartBenchmarkTiming(); + for (int iter = 0; iter < num_iters; ++iter) { + C.device(device_) = A.contract(B, dims); + } + // Record the number of FLOP executed per second (size_ multiplications and + // additions for each value in the resulting tensor) + finalizeBenchmark(static_cast<int64_t>(2) * m_ * n_ * k_ * num_iters); + } + void initialize() { a_ = (T *) device_.allocate(m_ * k_ * sizeof(T)); b_ = (T *) device_.allocate(k_ * n_ * sizeof(T)); @@ -453,7 +568,6 @@ template <typename Device, typename T> class BenchmarkSuite { device_.memset(b_, 23, k_ * n_ * sizeof(T)); device_.memset(c_, 31, m_ * n_ * sizeof(T)); - //BenchmarkUseRealTime(); } inline void finalizeBenchmark(int64_t num_items) { @@ -461,6 +575,11 @@ template <typename Device, typename T> class BenchmarkSuite { if (Eigen::internal::is_same<Device, Eigen::GpuDevice>::value) { device_.synchronize(); } +#elif defined(EIGEN_USE_SYCL) + if (Eigen::internal::is_same<Device, Eigen::SyclDevice>::value) { + device_.synchronize(); + } + #endif StopBenchmarkTiming(); SetBenchmarkFlopsProcessed(num_items); diff --git a/bench/tensors/tensor_benchmarks_sycl.cc b/bench/tensors/tensor_benchmarks_sycl.cc index 7eca4d966..6f9f87179 100644 --- a/bench/tensors/tensor_benchmarks_sycl.cc +++ b/bench/tensors/tensor_benchmarks_sycl.cc @@ -1,37 +1,140 @@ -#define EIGEN_USE_SYCL +#ifdef EIGEN_USE_SYCL -#include <SYCL/sycl.hpp> +#include <CL/sycl.hpp> #include <iostream> #include "tensor_benchmarks.h" -using Eigen::array; -using Eigen::SyclDevice; -using Eigen::Tensor; -using Eigen::TensorMap; -// Simple functions -template <typename device_selector> -cl::sycl::queue sycl_queue() { - return cl::sycl::queue(device_selector(), [=](cl::sycl::exception_list l) { - for (const auto& e : l) { - try { - std::rethrow_exception(e); - } catch (cl::sycl::exception e) { - std::cout << e.what() << std::endl; - } - } - }); -} +cl::sycl::gpu_selector selector; +Eigen::QueueInterface queue(selector); +#define BM_FuncWithInput2DimsGPU(FUNC, D1, D2) \ + static void BM_##FUNC##_##D1##x##D2(int iters, int N) { \ + StopBenchmarkTiming(); \ + Eigen::SyclDevice device(&queue); \ + BenchmarkSuite<Eigen::SyclDevice, float> suite(device, D1, D2); \ + suite.FUNC(iters); \ + } \ + BENCHMARK_RANGE(BM_##FUNC##_##D1##x##D2, 10, 10); +BM_FuncWithInput2DimsGPU(rowReduction, 256, 100352); +BM_FuncWithInput2DimsGPU(rowReduction, 64, 100352); +BM_FuncWithInput2DimsGPU(rowReduction, 512, 25088); +BM_FuncWithInput2DimsGPU(rowReduction, 128, 25088); +BM_FuncWithInput2DimsGPU(rowReduction, 102, 6272); +BM_FuncWithInput2DimsGPU(rowReduction, 256, 6272); +BM_FuncWithInput2DimsGPU(rowReduction, 204, 1568); +BM_FuncWithInput2DimsGPU(rowReduction, 512, 1568); +BM_FuncWithInput2DimsGPU(rowReduction, 1024, 1568); +BM_FuncWithInput2DimsGPU(rowReduction, 2048, 1568); + +BM_FuncWithInput2DimsGPU(colReduction, 100352, 256); +BM_FuncWithInput2DimsGPU(colReduction, 100352, 64); +BM_FuncWithInput2DimsGPU(colReduction, 25088, 512); +BM_FuncWithInput2DimsGPU(colReduction, 6272, 102); +BM_FuncWithInput2DimsGPU(colReduction, 25088, 128); +BM_FuncWithInput2DimsGPU(colReduction, 6272, 256); +BM_FuncWithInput2DimsGPU(colReduction, 1568, 204); +BM_FuncWithInput2DimsGPU(colReduction, 1568, 512); +BM_FuncWithInput2DimsGPU(colReduction, 1568, 1024); +BM_FuncWithInput2DimsGPU(colReduction, 1568, 2048); +BM_FuncWithInput2DimsGPU(fullReduction, 1001, 1); +BM_FuncWithInput2DimsGPU(fullReduction, 2050048, 1); +BM_FuncWithInput2DimsGPU(fullReduction, 2097152, 1); +BM_FuncWithInput2DimsGPU(fullReduction, 2048, 1); +BM_FuncWithInput2DimsGPU(fullReduction, 262144, 1); +BM_FuncWithInput2DimsGPU(fullReduction, 256, 1); +BM_FuncWithInput2DimsGPU(fullReduction, 589824, 1); +BM_FuncWithInput2DimsGPU(fullReduction, 1024, 1); +BM_FuncWithInput2DimsGPU(fullReduction, 524288, 1); +BM_FuncWithInput2DimsGPU(fullReduction, 512, 1); +BM_FuncWithInput2DimsGPU(fullReduction, 2359296, 1); +BM_FuncWithInput2DimsGPU(fullReduction, 1048576, 1); +BM_FuncWithInput2DimsGPU(fullReduction, 131072, 1); +BM_FuncWithInput2DimsGPU(fullReduction, 16384, 1); +BM_FuncWithInput2DimsGPU(fullReduction, 9408, 1); +BM_FuncWithInput2DimsGPU(fullReduction, 64, 1); +BM_FuncWithInput2DimsGPU(fullReduction, 4096, 1); +BM_FuncWithInput2DimsGPU(fullReduction, 36864, 1); +BM_FuncWithInput2DimsGPU(fullReduction, 32768, 1); +BM_FuncWithInput2DimsGPU(fullReduction, 128, 1); +BM_FuncWithInput2DimsGPU(fullReduction, 147456, 1); +BM_FuncWithInput2DimsGPU(fullReduction, 65536, 1); #define BM_FuncGPU(FUNC) \ static void BM_##FUNC(int iters, int N) { \ StopBenchmarkTiming(); \ - cl::sycl::queue q = sycl_queue<cl::sycl::gpu_selector>(); \ - Eigen::SyclDevice device(q); \ + Eigen::SyclDevice device(&queue); \ BenchmarkSuite<Eigen::SyclDevice, float> suite(device, N); \ suite.FUNC(iters); \ } \ BENCHMARK_RANGE(BM_##FUNC, 10, 5000); +BM_FuncGPU(rowReduction); +BM_FuncGPU(colReduction); +BM_FuncGPU(fullReduction); + +BM_FuncGPU(memcpy); +BM_FuncGPU(typeCasting); +BM_FuncGPU(random); +BM_FuncGPU(slicing); +BM_FuncGPU(rowChip); +BM_FuncGPU(colChip); +BM_FuncGPU(shuffling); +BM_FuncGPU(padding); +BM_FuncGPU(striding); BM_FuncGPU(broadcasting); BM_FuncGPU(coeffWiseOp); +BM_FuncGPU(algebraicFunc); +BM_FuncGPU(transcendentalFunc); +// Contractions +#define BM_FuncWithInputDimsGPU(FUNC, D1, D2, D3) \ + static void BM_##FUNC##_##D1##x##D2##x##D3(int iters, int N) { \ + StopBenchmarkTiming(); \ + Eigen::SyclDevice device(&queue); \ + BenchmarkSuite<Eigen::SyclDevice, float> suite(device, D1, D2, D3); \ + suite.FUNC(iters); \ + } \ + BENCHMARK_RANGE(BM_##FUNC##_##D1##x##D2##x##D3, 10, 5000); + +BM_FuncWithInputDimsGPU(contraction, N, N, N); +BM_FuncWithInputDimsGPU(contraction, 64, N, N); +BM_FuncWithInputDimsGPU(contraction, N, 64, N); +BM_FuncWithInputDimsGPU(contraction, N, N, 64); + +BM_FuncWithInputDimsGPU(contractionRowMajor, N, N, N); +BM_FuncWithInputDimsGPU(contractionRowMajor, 64, N, N); +BM_FuncWithInputDimsGPU(contractionRowMajor, N, 64, N); +BM_FuncWithInputDimsGPU(contractionRowMajor, N, N, 64); + +BM_FuncWithInputDimsGPU(contractionRowMajorAT, N, N, N); +BM_FuncWithInputDimsGPU(contractionRowMajorAT, 64, N, N); +BM_FuncWithInputDimsGPU(contractionRowMajorAT, N, 64, N); +BM_FuncWithInputDimsGPU(contractionRowMajorAT, N, N, 64); + +BM_FuncWithInputDimsGPU(contractionRowMajorBT, N, N, N); +BM_FuncWithInputDimsGPU(contractionRowMajorBT, 64, N, N); +BM_FuncWithInputDimsGPU(contractionRowMajorBT, N, 64, N); +BM_FuncWithInputDimsGPU(contractionRowMajorBT, N, N, 64); + + +BM_FuncWithInputDimsGPU(contractionRowMajorABT, N, N, N); +BM_FuncWithInputDimsGPU(contractionRowMajorABT, 64, N, N); +BM_FuncWithInputDimsGPU(contractionRowMajorABT, N, 64, N); +BM_FuncWithInputDimsGPU(contractionRowMajorABT, N, N, 64); + +// Convolutions +#define BM_FuncWithKernelDimsGPU(FUNC, DIM1, DIM2) \ + static void BM_##FUNC##_##DIM1##x##DIM2(int iters, int N) { \ + StopBenchmarkTiming(); \ + Eigen::SyclDevice device(&queue); \ + BenchmarkSuite<Eigen::SyclDevice, float> suite(device, N); \ + suite.FUNC(iters, DIM1, DIM2); \ + } \ + BENCHMARK_RANGE(BM_##FUNC##_##DIM1##x##DIM2, 128, 5000); + +BM_FuncWithKernelDimsGPU(convolution, 7, 1); +BM_FuncWithKernelDimsGPU(convolution, 1, 7); +BM_FuncWithKernelDimsGPU(convolution, 7, 4); +BM_FuncWithKernelDimsGPU(convolution, 4, 7); +BM_FuncWithKernelDimsGPU(convolution, 7, 64); +BM_FuncWithKernelDimsGPU(convolution, 64, 7); +#endif diff --git a/bench/tensors/tensor_contract_sycl_bench.cc b/bench/tensors/tensor_contract_sycl_bench.cc new file mode 100644 index 000000000..8f2defe42 --- /dev/null +++ b/bench/tensors/tensor_contract_sycl_bench.cc @@ -0,0 +1,325 @@ +// This file is part of Eigen, a lightweight C++ template library +// for linear algebra. +// +// Copyright (C) 2016 +// Mehdi Goli Codeplay Software Ltd. +// Ralph Potter Codeplay Software Ltd. +// Luke Iwanski Codeplay Software Ltd. +// Contact: <eigen@codeplay.com> +// +// This Source Code Form is subject to the terms of the Mozilla +// Public License v. 2.0. If a copy of the MPL was not distributed +// with this file, You can obtain one at http://mozilla.org/MPL/2.0/. +#ifndef EIGEN_BENCH_CONTRACT_SYCL +#define EIGEN_BENCH_CONTRACT_SYCL +#define EIGEN_TEST_NO_LONGDOUBLE +#define EIGEN_TEST_NO_COMPLEX +#define EIGEN_DEFAULT_DENSE_INDEX_TYPE int64_t +#include <SYCL/sycl.hpp> +#include <fstream> +#include <iostream> +#include <chrono> +#include <ctime> + +#include <unsupported/Eigen/CXX11/Tensor> + +using Eigen::array; +using Eigen::SyclDevice; +using Eigen::Tensor; +using Eigen::TensorMap; +std::ofstream out("Result.txt"); + +std::chrono::time_point<std::chrono::system_clock> get_time(){ + std::chrono::time_point<std::chrono::system_clock> start, end; + return std::chrono::system_clock::now(); +} + +template<typename Start, typename End, typename TensorIndex> +void finalizeBenchmark(Start start, End end, TensorIndex m_, TensorIndex k_, TensorIndex n_ , TensorIndex num_iters, std::string name){ + + std::chrono::duration<double> elapsed_seconds = end-start; + std::cout <<"Kernel Name : " << name << ", M : " << m_ << ", N : " << n_ << ", K : " << k_ << " GFLOP/s : " << + static_cast<float>((static_cast<int64_t>(2) * m_ * n_ * k_ * num_iters)/ elapsed_seconds.count()) * 1e-9 << "\n"; + out <<"Kernel Name : " << name << ", M : " << m_ << ", N : " << n_ << ", K : " << k_ << " GFLOP/s : " << + static_cast<float>((static_cast<int64_t>(2) * m_ * n_ * k_ * num_iters)/ elapsed_seconds.count()) * 1e-9 << "\n"; +} + +// do a contraction which is equivalent to a matrix multiplication +template<typename T, typename Device, typename TensorIndex> +void contraction(const Device& device_, TensorIndex num_iters, TensorIndex m_, TensorIndex k_, TensorIndex n_) { + T* a_; + T* b_; + T* c_; + a_ = (T *) device_.allocate(m_ * k_ * sizeof(T)); + b_ = (T *) device_.allocate(k_ * n_ * sizeof(T)); + c_ = (T *) device_.allocate(m_ * n_ * sizeof(T)); + + // Initialize the content of the memory pools to prevent asan from + // complaining. + device_.memset(a_, 12, m_ * k_ * sizeof(T)); + device_.memset(b_, 23, k_ * n_ * sizeof(T)); + device_.memset(c_, 31, m_ * n_ * sizeof(T)); + + Eigen::array<TensorIndex, 2> sizeA; + sizeA[0] = m_; + sizeA[1] = k_; + Eigen::array<TensorIndex, 2> sizeB; + sizeB[0] = k_; + sizeB[1] = n_; + Eigen::array<TensorIndex, 2> sizeC; + sizeC[0] = m_; + sizeC[1] = n_; + + const TensorMap<Tensor<T, 2>, Eigen::Aligned> A(a_, sizeA); + const TensorMap<Tensor<T, 2>, Eigen::Aligned> B(b_, sizeB); + TensorMap<Tensor<T, 2>, Eigen::Aligned> C(c_, sizeC); + + typedef typename Tensor<T, 2>::DimensionPair DimPair; + Eigen::array<DimPair, 1> dims; + dims[0] = DimPair(1, 0); +#ifdef EIGEN_USE_SYCL // warmup for sycl + for (int iter = 0; iter < 10; ++iter) { + C.device(device_) = A.contract(B, dims); + } +#endif + auto start = get_time(); + for (int iter = 0; iter < num_iters; ++iter) { + C.device(device_) = A.contract(B, dims); + } + auto end = get_time(); + // Record the number of FLOPs executed per second (size_ multiplications and + // additions for each value in the resulting tensor) + finalizeBenchmark(start, end, m_, k_, n_, num_iters, "contraction"); + device_.deallocate(a_); + device_.deallocate(b_); + device_.deallocate(c_); + device_.synchronize(); +} + + + +// do a contraction which is equivalent to a matrix multiplication +template<typename T, typename Device, typename TensorIndex> +void contractionRowMajor(const Device& device_, TensorIndex num_iters, TensorIndex m_, TensorIndex k_, TensorIndex n_) { + T* a_; + T* b_; + T* c_; + a_ = (T *) device_.allocate(m_ * k_ * sizeof(T)); + b_ = (T *) device_.allocate(k_ * n_ * sizeof(T)); + c_ = (T *) device_.allocate(m_ * n_ * sizeof(T)); + + // Initialize the content of the memory pools to prevent asan from + // complaining. + device_.memset(a_, 12, m_ * k_ * sizeof(T)); + device_.memset(b_, 23, k_ * n_ * sizeof(T)); + device_.memset(c_, 31, m_ * n_ * sizeof(T)); + + Eigen::array<TensorIndex, 2> sizeA; + sizeA[0] = m_; + sizeA[1] = k_; + Eigen::array<TensorIndex, 2> sizeB; + sizeB[0] = k_; + sizeB[1] = n_; + Eigen::array<TensorIndex, 2> sizeC; + sizeC[0] = m_; + sizeC[1] = n_; + + const TensorMap<Tensor<T, 2, Eigen::RowMajor>, Eigen::Aligned> A(a_, sizeA); + const TensorMap<Tensor<T, 2, Eigen::RowMajor>, Eigen::Aligned> B(b_, sizeB); + TensorMap<Tensor<T, 2, Eigen::RowMajor>, Eigen::Aligned> C(c_, sizeC); + + typedef typename Tensor<T, 2>::DimensionPair DimPair; + Eigen::array<DimPair, 1> dims; + dims[0] = DimPair(1, 0); +#ifdef EIGEN_USE_SYCL // warmup for sycl + for (int iter = 0; iter < 10; ++iter) { + C.device(device_) = A.contract(B, dims); + } +#endif + auto start = get_time(); + for (int iter = 0; iter < num_iters; ++iter) { + C.device(device_) = A.contract(B, dims); + } + auto end = get_time(); + // Record the number of FLOPs executed per second (size_ multiplications and + // additions for each value in the resulting tensor) + finalizeBenchmark(start, end, m_, k_, n_, num_iters, "contractionRowMajor"); + device_.deallocate(a_); + device_.deallocate(b_); + device_.deallocate(c_); + device_.synchronize(); +} + + +template<typename T, typename Device, typename TensorIndex> +void contractionAT(const Device& device_, TensorIndex num_iters, TensorIndex m_, TensorIndex k_, TensorIndex n_) { + T* a_; + T* b_; + T* c_; + a_ = (T *) device_.allocate(m_ * k_ * sizeof(T)); + b_ = (T *) device_.allocate(k_ * n_ * sizeof(T)); + c_ = (T *) device_.allocate(m_ * n_ * sizeof(T)); + + // Initialize the content of the memory pools to prevent asan from + // complaining. + device_.memset(a_, 12, m_ * k_ * sizeof(T)); + device_.memset(b_, 23, k_ * n_ * sizeof(T)); + device_.memset(c_, 31, m_ * n_ * sizeof(T)); + Eigen::array<TensorIndex, 2> sizeA; + sizeA[0] = k_; + sizeA[1] = m_; + Eigen::array<TensorIndex, 2> sizeB; + sizeB[0] = k_; + sizeB[1] = n_; + Eigen::array<TensorIndex, 2> sizeC; + sizeC[0] = m_; + sizeC[1] = n_; + + const TensorMap<Tensor<T, 2, Eigen::RowMajor>, Eigen::Aligned> A(a_, sizeA); + const TensorMap<Tensor<T, 2, Eigen::RowMajor>, Eigen::Aligned> B(b_, sizeB); + TensorMap<Tensor<T, 2, Eigen::RowMajor>, Eigen::Aligned> C(c_, sizeC); + + typedef typename Tensor<T, 2>::DimensionPair DimPair; + Eigen::array<DimPair, 1> dims; + dims[0] = DimPair(0, 0); +#ifdef EIGEN_USE_SYCL // warmup for sycl + for (int iter = 0; iter < 10; ++iter) { + C.device(device_) = A.contract(B, dims); + } +#endif + auto start = get_time(); + for (int iter = 0; iter < num_iters; ++iter) { + C.device(device_) = A.contract(B, dims); + } + auto end = get_time(); + // Record the number of FLOPs executed per second (size_ multiplications and + // additions for each value in the resulting tensor) + finalizeBenchmark(start, end, m_, k_, n_, num_iters, "contractionAT"); + device_.deallocate(a_); + device_.deallocate(b_); + device_.deallocate(c_); + device_.synchronize(); + +} + +template<typename T, typename Device, typename TensorIndex> +void contractionBT(const Device& device_, TensorIndex num_iters, TensorIndex m_, TensorIndex k_, TensorIndex n_) { + T* a_; + T* b_; + T* c_; + a_ = (T *) device_.allocate(m_ * k_ * sizeof(T)); + b_ = (T *) device_.allocate(k_ * n_ * sizeof(T)); + c_ = (T *) device_.allocate(m_ * n_ * sizeof(T)); + + // Initialize the content of the memory pools to prevent asan from + // complaining. + device_.memset(a_, 12, m_ * k_ * sizeof(T)); + device_.memset(b_, 23, k_ * n_ * sizeof(T)); + device_.memset(c_, 31, m_ * n_ * sizeof(T)); + + Eigen::array<TensorIndex, 2> sizeA; + sizeA[0] = m_; + sizeA[1] = k_; + Eigen::array<TensorIndex, 2> sizeB; + sizeB[0] = n_; + sizeB[1] = k_; + Eigen::array<TensorIndex, 2> sizeC; + sizeC[0] = m_; + sizeC[1] = n_; + + const TensorMap<Tensor<T, 2, Eigen::RowMajor>, Eigen::Aligned> A(a_, sizeA); + const TensorMap<Tensor<T, 2, Eigen::RowMajor>, Eigen::Aligned> B(b_, sizeB); + TensorMap<Tensor<T, 2, Eigen::RowMajor>, Eigen::Aligned> C(c_, sizeC); + + typedef typename Tensor<T, 2>::DimensionPair DimPair; + Eigen::array<DimPair, 1> dims; + dims[0] = DimPair(1, 1); +#ifdef EIGEN_USE_SYCL // warmup for sycl + for (int iter = 0; iter < 10; ++iter) { + C.device(device_) = A.contract(B, dims); + } +#endif + auto start = get_time(); + for (int iter = 0; iter < num_iters; ++iter) { + C.device(device_) = A.contract(B, dims); + } + auto end = get_time(); + // Record the number of FLOPs executed per second (size_ multiplications and + // additions for each value in the resulting tensor) + finalizeBenchmark(start, end, m_, k_, n_, num_iters, "contractionBT"); + device_.deallocate(a_); + device_.deallocate(b_); + device_.deallocate(c_); + device_.synchronize(); + +} + +template<typename T, typename Device, typename TensorIndex> +void contractionABT(const Device& device_, TensorIndex num_iters, TensorIndex m_, TensorIndex k_, TensorIndex n_) { + T* a_; + T* b_; + T* c_; + a_ = (T *) device_.allocate(m_ * k_ * sizeof(T)); + b_ = (T *) device_.allocate(k_ * n_ * sizeof(T)); + c_ = (T *) device_.allocate(m_ * n_ * sizeof(T)); + + // Initialize the content of the memory pools to prevent asan from + // complaining. + device_.memset(a_, 12, m_ * k_ * sizeof(T)); + device_.memset(b_, 23, k_ * n_ * sizeof(T)); + device_.memset(c_, 31, m_ * n_ * sizeof(T)); + + Eigen::array<TensorIndex, 2> sizeA; + sizeA[0] = k_; + sizeA[1] = m_; + Eigen::array<TensorIndex, 2> sizeB; + sizeB[0] = n_; + sizeB[1] = k_; + Eigen::array<TensorIndex, 2> sizeC; + sizeC[0] = m_; + sizeC[1] = n_; + + const TensorMap<Tensor<T, 2, Eigen::RowMajor>, Eigen::Aligned> A(a_, sizeA); + const TensorMap<Tensor<T, 2, Eigen::RowMajor>, Eigen::Aligned> B(b_, sizeB); + TensorMap<Tensor<T, 2, Eigen::RowMajor>, Eigen::Aligned> C(c_, sizeC); + + typedef typename Tensor<T, 2>::DimensionPair DimPair; + Eigen::array<DimPair, 1> dims; + dims[0] = DimPair(0, 1); +#ifdef EIGEN_USE_SYCL // warmup for sycl + for (int iter = 0; iter < 10; ++iter) { + C.device(device_) = A.contract(B, dims); + } +#endif + auto start = get_time(); + for (int iter = 0; iter < num_iters; ++iter) { + C.device(device_) = A.contract(B, dims); + } + auto end = get_time(); + // Record the number of FLOPs executed per second (size_ multiplications and + // additions for each value in the resulting tensor) + finalizeBenchmark(start, end, m_, k_, n_, num_iters, "contractionABT"); + device_.deallocate(a_); + device_.deallocate(b_); + device_.deallocate(c_); + device_.synchronize(); +} + +int main() { + cl::sycl::gpu_selector selector; + Eigen::QueueInterface queue(selector); + Eigen::SyclDevice device(&queue); + int64_t num_iters =20; + for(int64_t m = 32; m <= 4096; m *= 2) + for(int64_t k = 32; k <= 4096; k *= 2) + for(int64_t n = 32; n <= 4096; n*= 2){ + (contraction<float>(device, num_iters, m, k, n)); + (contractionRowMajor<float>(device, num_iters, m, k, n)); + (contractionAT<float>(device, num_iters, m, k, n)); + (contractionBT<float>(device, num_iters, m, k, n)); + (contractionABT<float>(device, num_iters, m, k, n)); + } + return 0; + } + +#endif // EIGEN_BENCH_CONTRACT_SYCL |