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package org.linaro.iasenov.benchmarkframework;
import android.util.Log;
import java.io.PrintStream;
import jnt.scimark2.Constants;
import jnt.scimark2.Random;
import jnt.scimark2.kernel;
/**
* Created by iasenov on 10/20/16.
*/
public class Test31 extends BaseBenchmark{
private String TAG = "SciMark";
static boolean isJavaCanceled = false;
public String startBenchmark(int count) {
isJavaCanceled = false;
version = " SciMark ";
benchmarkName = "Test31";
integrationType = "SL";
chartName = "SciMark";
long before;
long after;
clear();
//****Redirect System.out and Syste.err****
PrintStream stdOut = System.out;
PrintStream stdErrt = System.err;
PrintStream interceptor_stdout = new Interceptor(stdOut);
PrintStream interceptor_err = new Interceptor(stdErrt);
System.setOut(interceptor_stdout);// just add the interceptor
System.setErr(interceptor_err);// just add the interceptor
//****Redirect System.out and Syste.err****
startTest = System.currentTimeMillis();
if(isJavaCanceled) return "";
before = System.currentTimeMillis();
// default to the (small) cache-contained version
double min_time = Constants.RESOLUTION_DEFAULT;
int FFT_size = Constants.FFT_SIZE;
int SOR_size = Constants.SOR_SIZE;
int Sparse_size_M = Constants.SPARSE_SIZE_M;
int Sparse_size_nz = Constants.SPARSE_SIZE_nz;
int LU_size = Constants.LU_SIZE;
// run the benchmark
double res[] = new double[6];
Random R = new Random(Constants.RANDOM_SEED);
res[1] = kernel.measureFFT(FFT_size, min_time, R);
if(isJavaCanceled) return "";
res[2] = kernel.measureSOR( SOR_size, min_time, R);
if(isJavaCanceled) return "";
res[3] = kernel.measureMonteCarlo(min_time, R);
if(isJavaCanceled) return "";
res[4] = kernel.measureSparseMatmult( Sparse_size_M,
Sparse_size_nz, min_time, R);
if(isJavaCanceled) return "";
res[5] = kernel.measureLU( LU_size, min_time, R);
if(isJavaCanceled) return "";
res[0] = (res[1] + res[2] + res[3] + res[4] + res[5]) / 5;
// print out results
System.out.println();
System.out.println("SciMark 2.0a");
System.out.println();
System.out.println("Composite Score: " + res[0]);
System.out.print("FFT ("+FFT_size+"): ");
if (res[1]==0.0)
System.out.println(" ERROR, INVALID NUMERICAL RESULT!");
else
System.out.println(res[1]);
System.out.println("SOR ("+SOR_size+"x"+ SOR_size+"): "
+ " " + res[2]);
System.out.println("Monte Carlo : " + res[3]);
System.out.println("Sparse matmult (N="+ Sparse_size_M+
", nz=" + Sparse_size_nz + "): " + res[4]);
System.out.print("LU (" + LU_size + "x" + LU_size + "): ");
if (res[5]==0.0)
System.out.println(" ERROR, INVALID NUMERICAL RESULT!");
else
System.out.println(res[5]);
// print out System info
System.out.println();
System.out.println("java.vendor: " +
System.getProperty("java.vendor"));
System.out.println("java.version: " +
System.getProperty("java.version"));
System.out.println("os.arch: " +
System.getProperty("os.arch"));
System.out.println("os.name: " +
System.getProperty("os.name"));
System.out.println("os.version: " +
System.getProperty("os.version"));
after = System.currentTimeMillis();
xout[2] = Interceptor.outputTxt;
Interceptor.clear();
endTest = System.currentTimeMillis();
sendElapsedTimeToChart();
submitElapsedTime(endTest-startTest);
return benchmarkName + ":" + getBenchmarkResult(5, integrationType);
}
public boolean stopBenchmark(){
isJavaCanceled = true;
Log.i(TAG, "stopBenchmark: isJNICanceled");
return true;
}
}
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