diff options
| author | Chris Ball <chris@printf.net> | 2023-11-19 14:58:43 -0800 |
|---|---|---|
| committer | Chris Ball <chris@printf.net> | 2023-11-19 14:59:32 -0800 |
| commit | d34bed5dbf024788251f519674519937b1f9009a (patch) | |
| tree | 0f5394fdaa6d5c51cc522167d232b616db25ea23 /benchmark | |
| parent | 75a3af8a23f2fd1488ee7cb6e5fca00289031c6c (diff) | |
| download | AFLplusplus-d34bed5dbf024788251f519674519937b1f9009a.tar.gz | |
benchmark: Update Jupyter notebook and results file.
Diffstat (limited to 'benchmark')
| -rw-r--r-- | benchmark/benchmark-results.jsonl | 965 | ||||
| -rw-r--r-- | benchmark/benchmark.ipynb | 1020 |
2 files changed, 1085 insertions, 900 deletions
diff --git a/benchmark/benchmark-results.jsonl b/benchmark/benchmark-results.jsonl index 1d52402d..f3dd60be 100644 --- a/benchmark/benchmark-results.jsonl +++ b/benchmark/benchmark-results.jsonl @@ -1,550 +1,415 @@ -{"config": {"afl_persistent_config": true, "afl_system_config": true, "afl_version": "++4.09a", "comment": "i9-9900k, 16GB DDR4-3000, Arch Linux", "compiler": "clang version 15.0.7", "target_arch": "x86_64-pc-linux-gnu"}, "hardware": {"cpu_fastest_core_mhz": 4999.879, "cpu_model": "Intel(R) Core(TM) i9-9900K CPU @ 3.60GHz", "cpu_threads": 16}, "targets": {"test-instr": {"multicore": {"afl_execs_per_sec": 11025.88, "afl_execs_total": 519670, "fuzzers_used": 1, "run_end": "2023-09-24 01:18:19.516294", "run_start": "2023-09-24 01:17:55.982600", "total_execs_per_sec": 11019.3, "total_run_time": 47.16}}, "test-instr-persist-shmem": {"multicore": {"afl_execs_per_sec": 134423.5, "afl_execs_total": 519670, "fuzzers_used": 1, "run_end": "2023-09-24 01:17:32.262373", "run_start": "2023-09-24 01:17:30.328037", "total_execs_per_sec": 133591.26, "total_run_time": 3.89}}}} -{"config": {"afl_persistent_config": true, "afl_system_config": true, "afl_version": "++4.09a", "comment": "i9-9900k, 16GB DDR4-3000, Arch Linux", "compiler": "clang version 15.0.7", "target_arch": "x86_64-pc-linux-gnu"}, "hardware": {"cpu_fastest_core_mhz": 4998.794, "cpu_model": "Intel(R) Core(TM) i9-9900K CPU @ 3.60GHz", "cpu_threads": 16}, "targets": {"test-instr": {"multicore": {"afl_execs_per_sec": 21139.64, "afl_execs_total": 1039340, "fuzzers_used": 2, "run_end": "2023-09-24 01:19:15.060420", "run_start": "2023-09-24 01:18:50.438781", "total_execs_per_sec": 21111.92, "total_run_time": 49.23}}, "test-instr-persist-shmem": {"multicore": {"afl_execs_per_sec": 258490.04, "afl_execs_total": 1039340, "fuzzers_used": 2, "run_end": "2023-09-24 01:18:25.733140", "run_start": "2023-09-24 01:18:23.718094", "total_execs_per_sec": 255995.07, "total_run_time": 4.06}}}} -{"config": {"afl_persistent_config": true, "afl_system_config": true, "afl_version": "++4.09a", "comment": "i9-9900k, 16GB DDR4-3000, Arch Linux", "compiler": "clang version 15.0.7", "target_arch": "x86_64-pc-linux-gnu"}, "hardware": {"cpu_fastest_core_mhz": 4998.859, "cpu_model": "Intel(R) Core(TM) i9-9900K CPU @ 3.60GHz", "cpu_threads": 16}, "targets": {"test-instr": {"multicore": {"afl_execs_per_sec": 30618.28, "afl_execs_total": 1559010, "fuzzers_used": 3, "run_end": "2023-09-24 01:20:12.416984", "run_start": "2023-09-24 01:19:46.914403", "total_execs_per_sec": 30568.82, "total_run_time": 51.0}}, "test-instr-persist-shmem": {"multicore": {"afl_execs_per_sec": 383777.45, "afl_execs_total": 1559010, "fuzzers_used": 3, "run_end": "2023-09-24 01:19:21.318951", "run_start": "2023-09-24 01:19:19.272479", "total_execs_per_sec": 380246.34, "total_run_time": 4.1}}}} -{"config": {"afl_persistent_config": true, "afl_system_config": true, "afl_version": "++4.09a", "comment": "i9-9900k, 16GB DDR4-3000, Arch Linux", "compiler": "clang version 15.0.7", "target_arch": "x86_64-pc-linux-gnu"}, "hardware": {"cpu_fastest_core_mhz": 5000.078, "cpu_model": "Intel(R) Core(TM) i9-9900K CPU @ 3.60GHz", "cpu_threads": 16}, "targets": {"test-instr": {"multicore": {"afl_execs_per_sec": 39125.92, "afl_execs_total": 2078680, "fuzzers_used": 4, "run_end": "2023-09-24 01:21:12.260174", "run_start": "2023-09-24 01:20:45.582491", "total_execs_per_sec": 38963.07, "total_run_time": 53.35}}, "test-instr-persist-shmem": {"multicore": {"afl_execs_per_sec": 496249.48, "afl_execs_total": 2078680, "fuzzers_used": 4, "run_end": "2023-09-24 01:20:18.814456", "run_start": "2023-09-24 01:20:16.695833", "total_execs_per_sec": 490254.72, "total_run_time": 4.24}}}} -{"config": {"afl_persistent_config": true, "afl_system_config": true, "afl_version": "++4.09a", "comment": "i9-9900k, 16GB DDR4-3000, Arch Linux", "compiler": "clang version 15.0.7", "target_arch": "x86_64-pc-linux-gnu"}, "hardware": 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"x86_64-amazon-linux-gnu"}, "hardware": {"cpu_fastest_core_mhz": 3587.126, "cpu_model": "AMD EPYC 7R13 Processor", "cpu_threads": 192}, "targets": {"test-instr-persist-shmem": {"multicore": {"execs_per_sec": 476194.69, "execs_total": 4765385, "fuzzers_used": 187}}}} +{"config": {"afl_persistent_config": true, "afl_system_config": true, "afl_version": "++4.09a", "comment": "AWS EC2 r6a.48xlarge spot instance", "compiler": "clang version 15.0.7 (Amazon Linux 15.0.7-3.amzn2023.0.1)", "target_arch": "x86_64-amazon-linux-gnu"}, "hardware": {"cpu_fastest_core_mhz": 3423.033, "cpu_model": "AMD EPYC 7R13 Processor", "cpu_threads": 192}, "targets": {"test-instr-persist-shmem": {"multicore": {"execs_per_sec": 475886.86, "execs_total": 4762069, "fuzzers_used": 188}}}} +{"config": {"afl_persistent_config": true, "afl_system_config": true, "afl_version": "++4.09a", "comment": "AWS EC2 r6a.48xlarge spot instance", "compiler": "clang version 15.0.7 (Amazon Linux 15.0.7-3.amzn2023.0.1)", "target_arch": "x86_64-amazon-linux-gnu"}, "hardware": {"cpu_fastest_core_mhz": 3599.32, "cpu_model": "AMD EPYC 7R13 Processor", "cpu_threads": 192}, "targets": {"test-instr-persist-shmem": {"multicore": {"execs_per_sec": 473599.91, "execs_total": 4739128, "fuzzers_used": 189}}}} +{"config": {"afl_persistent_config": true, "afl_system_config": true, "afl_version": "++4.09a", "comment": "AWS EC2 r6a.48xlarge spot instance", "compiler": "clang version 15.0.7 (Amazon Linux 15.0.7-3.amzn2023.0.1)", "target_arch": "x86_64-amazon-linux-gnu"}, "hardware": {"cpu_fastest_core_mhz": 3597.599, "cpu_model": "AMD EPYC 7R13 Processor", "cpu_threads": 192}, "targets": {"test-instr-persist-shmem": {"multicore": {"execs_per_sec": 476949.52, "execs_total": 4772500, "fuzzers_used": 190}}}} +{"config": {"afl_persistent_config": true, "afl_system_config": true, "afl_version": "++4.09a", "comment": "AWS EC2 r6a.48xlarge spot instance", "compiler": "clang version 15.0.7 (Amazon Linux 15.0.7-3.amzn2023.0.1)", "target_arch": "x86_64-amazon-linux-gnu"}, "hardware": {"cpu_fastest_core_mhz": 3437.101, "cpu_model": "AMD EPYC 7R13 Processor", "cpu_threads": 192}, "targets": {"test-instr-persist-shmem": {"multicore": {"execs_per_sec": 474259.76, "execs_total": 4745505, "fuzzers_used": 191}}}} +{"config": {"afl_persistent_config": true, "afl_system_config": true, "afl_version": "++4.09a", "comment": "AWS EC2 r6a.48xlarge spot instance", "compiler": "clang version 15.0.7 (Amazon Linux 15.0.7-3.amzn2023.0.1)", "target_arch": "x86_64-amazon-linux-gnu"}, "hardware": {"cpu_fastest_core_mhz": 3599.17, "cpu_model": "AMD EPYC 7R13 Processor", "cpu_threads": 192}, "targets": {"test-instr-persist-shmem": {"multicore": {"execs_per_sec": 479848.23, "execs_total": 4801111, "fuzzers_used": 192}}}} diff --git a/benchmark/benchmark.ipynb b/benchmark/benchmark.ipynb index e4c29f2f..aea2e0f1 100644 --- a/benchmark/benchmark.ipynb +++ b/benchmark/benchmark.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 40, + "execution_count": 142, "metadata": {}, "outputs": [], "source": [ @@ -27,7 +27,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 143, "metadata": {}, "outputs": [ { @@ -40,35 +40,20 @@ " \"afl_system_config\": true,\n", " \"afl_version\": \"++4.09a\",\n", " \"comment\": \"i9-9900k, 16GB DDR4-3000, Arch Linux\",\n", - " \"compiler\": \"clang version 15.0.7\",\n", + " \"compiler\": \"clang version 16.0.6\",\n", " \"target_arch\": \"x86_64-pc-linux-gnu\"\n", " },\n", " \"hardware\": {\n", - " \"cpu_fastest_core_mhz\": 4999.879,\n", + " \"cpu_fastest_core_mhz\": 4788.77,\n", " \"cpu_model\": \"Intel(R) Core(TM) i9-9900K CPU @ 3.60GHz\",\n", " \"cpu_threads\": 16\n", " },\n", " \"targets\": {\n", " \"test-instr\": {\n", - " \"multicore\": {\n", - " \"afl_execs_per_sec\": 11025.88,\n", - " \"afl_execs_total\": 519670,\n", - " \"fuzzers_used\": 1,\n", - " \"run_end\": \"2023-09-24 01:18:19.516294\",\n", - " \"run_start\": \"2023-09-24 01:17:55.982600\",\n", - " \"total_execs_per_sec\": 11019.3,\n", - " \"total_run_time\": 47.16\n", - " }\n", - " },\n", - " \"test-instr-persist-shmem\": {\n", - " \"multicore\": {\n", - " \"afl_execs_per_sec\": 134423.5,\n", - " \"afl_execs_total\": 519670,\n", - " \"fuzzers_used\": 1,\n", - " \"run_end\": \"2023-09-24 01:17:32.262373\",\n", - " \"run_start\": \"2023-09-24 01:17:30.328037\",\n", - " \"total_execs_per_sec\": 133591.26,\n", - " \"total_run_time\": 3.89\n", + " \"singlecore\": {\n", + " \"execs_per_sec\": 9845.64,\n", + " \"execs_total\": 98545,\n", + " \"fuzzers_used\": 1\n", " }\n", " }\n", " }\n", @@ -89,7 +74,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 144, "metadata": {}, "outputs": [ { @@ -122,18 +107,18 @@ " <th>hardware.cpu_fastest_core_mhz</th>\n", " <th>hardware.cpu_model</th>\n", " <th>hardware.cpu_threads</th>\n", - " <th>targets.test-instr.multicore.afl_execs_per_sec</th>\n", + " <th>targets.test-instr.singlecore.execs_per_sec</th>\n", " <th>...</th>\n", - " <th>targets.test-instr.singlecore.run_start</th>\n", - " <th>targets.test-instr.singlecore.total_execs_per_sec</th>\n", - " <th>targets.test-instr.singlecore.total_run_time</th>\n", - " <th>targets.test-instr-persist-shmem.singlecore.afl_execs_per_sec</th>\n", - " <th>targets.test-instr-persist-shmem.singlecore.afl_execs_total</th>\n", + " <th>targets.test-instr.singlecore.fuzzers_used</th>\n", + " <th>targets.test-instr-persist-shmem.singlecore.execs_per_sec</th>\n", + " <th>targets.test-instr-persist-shmem.singlecore.execs_total</th>\n", " <th>targets.test-instr-persist-shmem.singlecore.fuzzers_used</th>\n", - " <th>targets.test-instr-persist-shmem.singlecore.run_end</th>\n", - " <th>targets.test-instr-persist-shmem.singlecore.run_start</th>\n", - " <th>targets.test-instr-persist-shmem.singlecore.total_execs_per_sec</th>\n", - " <th>targets.test-instr-persist-shmem.singlecore.total_run_time</th>\n", + " <th>targets.test-instr-persist-shmem.multicore.execs_per_sec</th>\n", + " <th>targets.test-instr-persist-shmem.multicore.execs_total</th>\n", + " <th>targets.test-instr-persist-shmem.multicore.fuzzers_used</th>\n", + " <th>targets.test-instr.multicore.execs_per_sec</th>\n", + " <th>targets.test-instr.multicore.execs_total</th>\n", + " <th>targets.test-instr.multicore.fuzzers_used</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", @@ -143,14 +128,14 @@ " <td>True</td>\n", " <td>++4.09a</td>\n", " <td>i9-9900k, 16GB DDR4-3000, Arch Linux</td>\n", - " <td>clang version 15.0.7</td>\n", + " <td>clang version 16.0.6</td>\n", " <td>x86_64-pc-linux-gnu</td>\n", - " <td>4999.879</td>\n", + " <td>4788.770</td>\n", " <td>Intel(R) Core(TM) i9-9900K CPU @ 3.60GHz</td>\n", " <td>16</td>\n", - " <td>11025.88</td>\n", + " <td>9845.64</td>\n", " <td>...</td>\n", - " <td>NaN</td>\n", + " <td>1.0</td>\n", " <td>NaN</td>\n", " <td>NaN</td>\n", " <td>NaN</td>\n", @@ -167,17 +152,17 @@ " <td>True</td>\n", " <td>++4.09a</td>\n", " <td>i9-9900k, 16GB DDR4-3000, Arch Linux</td>\n", - " <td>clang version 15.0.7</td>\n", + " <td>clang version 16.0.6</td>\n", " <td>x86_64-pc-linux-gnu</td>\n", - " <td>4998.794</td>\n", + " <td>4989.281</td>\n", " <td>Intel(R) Core(TM) i9-9900K CPU @ 3.60GHz</td>\n", " <td>16</td>\n", - " <td>21139.64</td>\n", - " <td>...</td>\n", - " <td>NaN</td>\n", - " <td>NaN</td>\n", " <td>NaN</td>\n", + " <td>...</td>\n", " <td>NaN</td>\n", + " <td>125682.73</td>\n", + " <td>1257330.0</td>\n", + " <td>1.0</td>\n", " <td>NaN</td>\n", " <td>NaN</td>\n", " <td>NaN</td>\n", @@ -191,20 +176,20 @@ " <td>True</td>\n", " <td>++4.09a</td>\n", " <td>i9-9900k, 16GB DDR4-3000, Arch Linux</td>\n", - " <td>clang version 15.0.7</td>\n", + " <td>clang version 16.0.6</td>\n", " <td>x86_64-pc-linux-gnu</td>\n", - " <td>4998.859</td>\n", + " <td>4799.415</td>\n", " <td>Intel(R) Core(TM) i9-9900K CPU @ 3.60GHz</td>\n", " <td>16</td>\n", - " <td>30618.28</td>\n", - " <td>...</td>\n", - " <td>NaN</td>\n", - " <td>NaN</td>\n", " <td>NaN</td>\n", + " <td>...</td>\n", " <td>NaN</td>\n", " <td>NaN</td>\n", " <td>NaN</td>\n", " <td>NaN</td>\n", + " <td>120293.77</td>\n", + " <td>1203058.0</td>\n", + " <td>1.0</td>\n", " <td>NaN</td>\n", " <td>NaN</td>\n", " <td>NaN</td>\n", @@ -215,20 +200,20 @@ " <td>True</td>\n", " <td>++4.09a</td>\n", " <td>i9-9900k, 16GB DDR4-3000, Arch Linux</td>\n", - " <td>clang version 15.0.7</td>\n", + " <td>clang version 16.0.6</td>\n", " <td>x86_64-pc-linux-gnu</td>\n", - " <td>5000.078</td>\n", + " <td>4703.293</td>\n", " <td>Intel(R) Core(TM) i9-9900K CPU @ 3.60GHz</td>\n", " <td>16</td>\n", - " <td>39125.92</td>\n", - " <td>...</td>\n", - " <td>NaN</td>\n", - " <td>NaN</td>\n", " <td>NaN</td>\n", + " <td>...</td>\n", " <td>NaN</td>\n", " <td>NaN</td>\n", " <td>NaN</td>\n", " <td>NaN</td>\n", + " <td>231429.96</td>\n", + " <td>2314531.0</td>\n", + " <td>2.0</td>\n", " <td>NaN</td>\n", " <td>NaN</td>\n", " <td>NaN</td>\n", @@ -239,27 +224,27 @@ " <td>True</td>\n", " <td>++4.09a</td>\n", " <td>i9-9900k, 16GB DDR4-3000, Arch Linux</td>\n", - " <td>clang version 15.0.7</td>\n", + " <td>clang version 16.0.6</td>\n", " <td>x86_64-pc-linux-gnu</td>\n", - " <td>4996.885</td>\n", + " <td>4800.375</td>\n", " <td>Intel(R) Core(TM) i9-9900K CPU @ 3.60GHz</td>\n", " <td>16</td>\n", - " <td>47861.04</td>\n", - " <td>...</td>\n", - " <td>NaN</td>\n", - " <td>NaN</td>\n", " <td>NaN</td>\n", + " <td>...</td>\n", " <td>NaN</td>\n", " <td>NaN</td>\n", " <td>NaN</td>\n", " <td>NaN</td>\n", + " <td>346759.33</td>\n", + " <td>3468290.0</td>\n", + " <td>3.0</td>\n", " <td>NaN</td>\n", " <td>NaN</td>\n", " <td>NaN</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", - "<p>5 rows × 37 columns</p>\n", + "<p>5 rows × 21 columns</p>\n", "</div>" ], "text/plain": [ @@ -271,18 +256,18 @@ "4 True True ++4.09a \n", "\n", " config.comment config.compiler \\\n", - "0 i9-9900k, 16GB DDR4-3000, Arch Linux clang version 15.0.7 \n", - "1 i9-9900k, 16GB DDR4-3000, Arch Linux clang version 15.0.7 \n", - "2 i9-9900k, 16GB DDR4-3000, Arch Linux clang version 15.0.7 \n", - "3 i9-9900k, 16GB DDR4-3000, Arch Linux clang version 15.0.7 \n", - "4 i9-9900k, 16GB DDR4-3000, Arch Linux clang version 15.0.7 \n", + "0 i9-9900k, 16GB DDR4-3000, Arch Linux clang version 16.0.6 \n", + "1 i9-9900k, 16GB DDR4-3000, Arch Linux clang version 16.0.6 \n", + "2 i9-9900k, 16GB DDR4-3000, Arch Linux clang version 16.0.6 \n", + "3 i9-9900k, 16GB DDR4-3000, Arch Linux clang version 16.0.6 \n", + "4 i9-9900k, 16GB DDR4-3000, Arch Linux clang version 16.0.6 \n", "\n", " config.target_arch hardware.cpu_fastest_core_mhz \\\n", - "0 x86_64-pc-linux-gnu 4999.879 \n", - "1 x86_64-pc-linux-gnu 4998.794 \n", - "2 x86_64-pc-linux-gnu 4998.859 \n", - "3 x86_64-pc-linux-gnu 5000.078 \n", - "4 x86_64-pc-linux-gnu 4996.885 \n", + "0 x86_64-pc-linux-gnu 4788.770 \n", + "1 x86_64-pc-linux-gnu 4989.281 \n", + "2 x86_64-pc-linux-gnu 4799.415 \n", + "3 x86_64-pc-linux-gnu 4703.293 \n", + "4 x86_64-pc-linux-gnu 4800.375 \n", "\n", " hardware.cpu_model hardware.cpu_threads \\\n", "0 Intel(R) Core(TM) i9-9900K CPU @ 3.60GHz 16 \n", @@ -291,87 +276,87 @@ "3 Intel(R) Core(TM) i9-9900K CPU @ 3.60GHz 16 \n", "4 Intel(R) Core(TM) i9-9900K CPU @ 3.60GHz 16 \n", "\n", - " targets.test-instr.multicore.afl_execs_per_sec ... \\\n", - "0 11025.88 ... \n", - "1 21139.64 ... \n", - "2 30618.28 ... \n", - "3 39125.92 ... \n", - "4 47861.04 ... \n", - "\n", - " targets.test-instr.singlecore.run_start \\\n", - "0 NaN \n", - "1 NaN \n", - "2 NaN \n", - "3 NaN \n", - "4 NaN \n", + " targets.test-instr.singlecore.execs_per_sec ... \\\n", + "0 9845.64 ... \n", + "1 NaN ... \n", + "2 NaN ... \n", + "3 NaN ... \n", + "4 NaN ... \n", "\n", - " targets.test-instr.singlecore.total_execs_per_sec \\\n", - "0 NaN \n", - "1 NaN \n", - "2 NaN \n", - "3 NaN \n", - "4 NaN \n", + " targets.test-instr.singlecore.fuzzers_used \\\n", + "0 1.0 \n", + "1 NaN \n", + "2 NaN \n", + "3 NaN \n", + "4 NaN \n", "\n", - " targets.test-instr.singlecore.total_run_time \\\n", - "0 NaN \n", - "1 NaN \n", - "2 NaN \n", - "3 NaN \n", - "4 NaN \n", + " targets.test-instr-persist-shmem.singlecore.execs_per_sec \\\n", + "0 NaN \n", + "1 125682.73 \n", + "2 NaN \n", + "3 NaN \n", + "4 NaN \n", "\n", - " targets.test-instr-persist-shmem.singlecore.afl_execs_per_sec \\\n", - "0 NaN \n", - "1 NaN \n", - "2 NaN \n", - "3 NaN \n", - "4 NaN \n", - "\n", - " targets.test-instr-persist-shmem.singlecore.afl_execs_total \\\n", - "0 NaN \n", - "1 NaN \n", - "2 NaN \n", - "3 NaN \n", - "4 NaN \n", + " targets.test-instr-persist-shmem.singlecore.execs_total \\\n", + "0 NaN \n", + "1 1257330.0 \n", + "2 NaN \n", + "3 NaN \n", + "4 NaN \n", "\n", " targets.test-instr-persist-shmem.singlecore.fuzzers_used \\\n", "0 NaN \n", - "1 NaN \n", + "1 1.0 \n", "2 NaN \n", "3 NaN \n", "4 NaN \n", "\n", - " targets.test-instr-persist-shmem.singlecore.run_end \\\n", - "0 NaN \n", - "1 NaN \n", - "2 NaN \n", - "3 NaN \n", - "4 NaN \n", + " targets.test-instr-persist-shmem.multicore.execs_per_sec \\\n", + "0 NaN \n", + "1 NaN \n", + "2 120293.77 \n", + "3 231429.96 \n", + "4 346759.33 \n", "\n", - " targets.test-instr-persist-shmem.singlecore.run_start \\\n", - "0 NaN \n", - "1 NaN \n", - "2 NaN \n", - "3 NaN \n", - "4 NaN \n", + " targets.test-instr-persist-shmem.multicore.execs_total \\\n", + "0 NaN \n", + "1 NaN \n", + "2 1203058.0 \n", + "3 2314531.0 \n", + "4 3468290.0 \n", "\n", - " targets.test-instr-persist-shmem.singlecore.total_execs_per_sec \\\n", - "0 NaN \n", - "1 NaN \n", - "2 NaN \n", - "3 NaN \n", - "4 NaN \n", + " targets.test-instr-persist-shmem.multicore.fuzzers_used \\\n", + "0 NaN \n", + "1 NaN \n", + "2 1.0 \n", + "3 2.0 \n", + "4 3.0 \n", "\n", - " targets.test-instr-persist-shmem.singlecore.total_run_time \n", - "0 NaN \n", - "1 NaN \n", - "2 NaN \n", - "3 NaN \n", - "4 NaN \n", + " targets.test-instr.multicore.execs_per_sec \\\n", + "0 NaN \n", + "1 NaN \n", + "2 NaN \n", + "3 NaN \n", + "4 NaN \n", "\n", - "[5 rows x 37 columns]" + " targets.test-instr.multicore.execs_total \\\n", + "0 NaN \n", + "1 NaN \n", + "2 NaN \n", + "3 NaN \n", + "4 NaN \n", + "\n", + " targets.test-instr.multicore.fuzzers_used \n", + "0 NaN \n", + "1 NaN \n", + "2 NaN \n", + "3 NaN \n", + "4 NaN \n", + "\n", + "[5 rows x 21 columns]" ] }, - "execution_count": 42, + "execution_count": 144, "metadata": {}, "output_type": "execute_result" } @@ -388,28 +373,24 @@ "source": [ "### Graph prep\n", "\n", - "We're looking for a line graph showing lines for each fuzz target, in both singlecore and multicore modes, in each config setting -- where the x-axis is number of cores, and the y-axis is either afl_execs_per_sec or total_execs_per_sec (I'm not yet sure which is a better metric to use).\n", + "We're looking for a line graph showing lines for each fuzz target, in both singlecore and multicore modes, in each config setting -- where the x-axis is number of cores, and the y-axis is execs_per_sec.\n", "\n", - "But first, a mini test harness by checking that the number of rows matched what we'd intuitively expect:" + "First, a quick check that the number of rows matched what we'd intuitively expect:" ] }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 145, "metadata": {}, "outputs": [], "source": [ "i7 = df.query(\"`config.comment` == 'i9-9900k, 16GB DDR4-3000, Arch Linux'\")\n", - "assert len(i7) == 148\n", - "multicore = i7.query(\"`targets.test-instr-persist-shmem.multicore.total_execs_per_sec` > 0 or `targets.test-instr.multicore.total_execs_per_sec` > 0\")\n", - "assert len(multicore) == 144 # 36 cores * 4 states * 1 run (containing two targets)\n", - "singlecore = i7.query(\"`targets.test-instr-persist-shmem.singlecore.total_execs_per_sec` > 0 or `targets.test-instr.singlecore.total_execs_per_sec` > 0\")\n", - "assert len(singlecore) == 4 # 1 core * 4 states * 1 run (containing two targets)" + "assert len(i7) == 185" ] }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 146, "metadata": {}, "outputs": [], "source": [ @@ -421,10 +402,9 @@ " for target in [\"test-instr-persist-shmem\", \"test-instr\"]:\n", " for mode in [\"multicore\", \"singlecore\"]:\n", " label = \"\"\n", - " if not row[f\"targets.{target}.{mode}.total_execs_per_sec\"] > 0:\n", + " if not row[f\"targets.{target}.{mode}.execs_per_sec\"] > 0:\n", " continue\n", - " execs_per_sec = row[f\"targets.{target}.{mode}.total_execs_per_sec\"]\n", - " afl_execs_per_sec = row[f\"targets.{target}.{mode}.afl_execs_per_sec\"]\n", + " execs_per_sec = row[f\"targets.{target}.{mode}.execs_per_sec\"]\n", " parallel_fuzzers = row[f\"targets.{target}.{mode}.fuzzers_used\"]\n", " afl_persistent_config = row[\"config.afl_persistent_config\"]\n", " afl_system_config = row[\"config.afl_system_config\"]\n", @@ -443,7 +423,6 @@ " \n", " if label == \"shmem-multicore+persist-conf+system-conf\":\n", " graphdata.append({\"execs_per_sec\": execs_per_sec, \"parallel_fuzzers\": parallel_fuzzers, \"afl_persistent_config\": afl_persistent_config, \"afl_system_config\": afl_system_config, \"label\": \"Multicore: Persistent mode/shared memory + kernel config\"})\n", - " graphdata.append({\"execs_per_sec\": afl_execs_per_sec, \"parallel_fuzzers\": parallel_fuzzers, \"afl_persistent_config\": afl_persistent_config, \"afl_system_config\": afl_system_config, \"label\": \"Multicore: afl_execs: Persistent mode/shared memory + kernel config\"})\n", " if label == \"shmem-multicore\":\n", " graphdata.append({\"execs_per_sec\": execs_per_sec, \"parallel_fuzzers\": parallel_fuzzers, \"afl_persistent_config\": afl_persistent_config, \"afl_system_config\": afl_system_config, \"label\": \"Multicore: Persistent mode/shared memory without kernel config\"})\n", " if label == \"base-multicore+persist-conf+system-conf\":\n", @@ -461,13 +440,13 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 147, "metadata": {}, "outputs": [ { "data": 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text-anchor=\"middle\" x=\"0\" y=\"333\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(42, 63, 95); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(585.6,0)\">29</text></g><g class=\"xtick\"><text text-anchor=\"middle\" x=\"0\" y=\"333\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(42, 63, 95); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(603.66,0)\">30</text></g><g class=\"xtick\"><text text-anchor=\"middle\" x=\"0\" y=\"333\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(42, 63, 95); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(621.71,0)\">31</text></g><g class=\"xtick\"><text text-anchor=\"middle\" x=\"0\" y=\"333\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(42, 63, 95); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(639.77,0)\">32</text></g><g class=\"xtick\"><text text-anchor=\"middle\" x=\"0\" y=\"333\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(42, 63, 95); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(657.83,0)\">33</text></g><g class=\"xtick\"><text text-anchor=\"middle\" x=\"0\" y=\"333\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(42, 63, 95); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(675.89,0)\">34</text></g><g class=\"xtick\"><text text-anchor=\"middle\" x=\"0\" y=\"333\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(42, 63, 95); fill-opacity: 1; white-space: pre; opacity: 1;\" transform=\"translate(693.94,0)\">35</text></g><g class=\"xtick\"><text text-anchor=\"middle\" x=\"0\" y=\"333\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(42, 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class=\"geolayer\"/><g class=\"funnelarealayer\"/><g class=\"pielayer\"/><g class=\"iciclelayer\"/><g class=\"treemaplayer\"/><g class=\"sunburstlayer\"/><g class=\"glimages\"/><defs id=\"topdefs-9d6f0e\"><g class=\"clips\"/><clipPath id=\"legend9d6f0e\"><rect width=\"387\" height=\"124\" x=\"0\" y=\"0\"/></clipPath></defs><g class=\"layer-above\"><g class=\"imagelayer\"/><g class=\"shapelayer\"/></g><g class=\"infolayer\"><g class=\"legend\" pointer-events=\"all\" transform=\"translate(801.14,100)\"><rect class=\"bg\" shape-rendering=\"crispEdges\" width=\"387\" height=\"124\" x=\"0\" y=\"0\" style=\"stroke: rgb(68, 68, 68); stroke-opacity: 1; fill: rgb(255, 255, 255); fill-opacity: 1; stroke-width: 0px;\"/><g class=\"scrollbox\" transform=\"\" clip-path=\"url(#legend9d6f0e)\"><text class=\"legendtitletext\" text-anchor=\"start\" x=\"2\" y=\"18.2\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 14px; fill: rgb(42, 63, 95); fill-opacity: 1; white-space: pre;\">Configuration</text><g class=\"groups\" transform=\"\"><g class=\"traces\" transform=\"translate(0,32.7)\" style=\"opacity: 1;\"><text class=\"legendtext\" text-anchor=\"start\" x=\"40\" y=\"4.680000000000001\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(42, 63, 95); fill-opacity: 1; white-space: pre;\">Multicore: Non-persistent mode + kernel config</text><g class=\"layers\" style=\"opacity: 1;\"><g class=\"legendfill\"/><g class=\"legendlines\"><path class=\"js-line\" d=\"M5,0h30\" style=\"fill: none; stroke: rgb(99, 110, 250); stroke-opacity: 1; stroke-width: 2px;\"/></g><g class=\"legendsymbols\"><g class=\"legendpoints\"/></g></g><rect class=\"legendtoggle\" x=\"0\" y=\"-9.5\" width=\"381.484375\" height=\"19\" style=\"fill: rgb(0, 0, 0); fill-opacity: 0;\"/></g></g><g class=\"groups\" transform=\"\"><g class=\"traces\" transform=\"translate(0,51.7)\" style=\"opacity: 1;\"><text class=\"legendtext\" text-anchor=\"start\" x=\"40\" 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mode/shared memory without kernel config</text><g class=\"layers\" style=\"opacity: 1;\"><g class=\"legendfill\"/><g class=\"legendlines\"><path class=\"js-line\" d=\"M5,0h30\" style=\"fill: none; stroke: rgb(0, 204, 150); stroke-opacity: 1; stroke-width: 2px;\"/></g><g class=\"legendsymbols\"><g class=\"legendpoints\"/></g></g><rect class=\"legendtoggle\" x=\"0\" y=\"-9.5\" width=\"381.484375\" height=\"19\" style=\"fill: rgb(0, 0, 0); fill-opacity: 0;\"/></g></g><g class=\"groups\" transform=\"\"><g class=\"traces\" transform=\"translate(0,89.7)\" style=\"opacity: 1;\"><text class=\"legendtext\" text-anchor=\"start\" x=\"40\" y=\"4.680000000000001\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(42, 63, 95); fill-opacity: 1; white-space: pre;\">Singlecore: Non-persistent mode + kernel config</text><g class=\"layers\" style=\"opacity: 1;\"><g class=\"legendfill\"/><g class=\"legendlines\"><path class=\"js-line\" d=\"M5,0h30\" style=\"fill: none; stroke: rgb(171, 99, 250); stroke-opacity: 1; stroke-width: 2px;\"/></g><g class=\"legendsymbols\"><g class=\"legendpoints\"/></g></g><rect class=\"legendtoggle\" x=\"0\" y=\"-9.5\" width=\"381.484375\" height=\"19\" style=\"fill: rgb(0, 0, 0); fill-opacity: 0;\"/></g></g><g class=\"groups\" transform=\"\"><g class=\"traces\" transform=\"translate(0,108.7)\" style=\"opacity: 1;\"><text class=\"legendtext\" text-anchor=\"start\" x=\"40\" y=\"4.680000000000001\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(42, 63, 95); fill-opacity: 1; white-space: pre;\">Singlecore: Persistent mode/shared memory + kernel config</text><g class=\"layers\" style=\"opacity: 1;\"><g class=\"legendfill\"/><g class=\"legendlines\"><path class=\"js-line\" d=\"M5,0h30\" style=\"fill: none; stroke: rgb(255, 161, 90); stroke-opacity: 1; stroke-width: 2px;\"/></g><g class=\"legendsymbols\"><g class=\"legendpoints\"/></g></g><rect class=\"legendtoggle\" x=\"0\" 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verdana, arial, sans-serif; font-size: 14px; fill: rgb(42, 63, 95); opacity: 1; font-weight: normal; white-space: pre;\">Fuzz target executions per second</text></g></g></svg>" ] }, "metadata": {}, @@ -509,7 +488,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 148, "metadata": {}, "outputs": [ { @@ -536,7 +515,6 @@ " <th>Multicore: Non-persistent mode + kernel config</th>\n", " <th>Multicore: Persistent mode/shared memory + kernel config</th>\n", " <th>Multicore: Persistent mode/shared memory without kernel config</th>\n", - " <th>Multicore: afl_execs: Persistent mode/shared memory + kernel config</th>\n", " <th>Singlecore: Non-persistent mode + kernel config</th>\n", " <th>Singlecore: Persistent mode/shared memory + kernel config</th>\n", " </tr>\n", @@ -547,54 +525,296 @@ " <th></th>\n", " <th></th>\n", " <th></th>\n", - " <th></th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>1.0</th>\n", - " <td>11019.30</td>\n", - " <td>133591.26</td>\n", - " <td>90851.40</td>\n", - " <td>134423.50</td>\n", - " <td>11038.96</td>\n", - " <td>135613.26</td>\n", + " <td>10714.79</td>\n", + " <td>120293.77</td>\n", + " <td>90641.62</td>\n", + " <td>9845.64</td>\n", + " <td>125682.73</td>\n", " </tr>\n", " <tr>\n", " <th>2.0</th>\n", - " <td>21111.92</td>\n", - " <td>255995.07</td>\n", - " <td>176159.32</td>\n", - " <td>258490.04</td>\n", - " <td>11038.96</td>\n", - " <td>135613.26</td>\n", + " <td>20493.07</td>\n", + " <td>231429.96</td>\n", + " <td>178184.19</td>\n", + " <td>9845.64</td>\n", + " <td>125682.73</td>\n", " </tr>\n", " <tr>\n", " <th>3.0</th>\n", - " <td>30568.82</td>\n", - " <td>380246.34</td>\n", - " <td>260268.78</td>\n", - " <td>383777.45</td>\n", - " <td>11038.96</td>\n", - " <td>135613.26</td>\n", + " <td>29660.06</td>\n", + " <td>346759.33</td>\n", + " <td>262652.86</td>\n", + " <td>9845.64</td>\n", + " <td>125682.73</td>\n", " </tr>\n", " <tr>\n", " <th>4.0</th>\n", - " <td>38963.07</td>\n", - " <td>490254.72</td>\n", - " <td>336355.99</td>\n", - " <td>496249.48</td>\n", - " <td>11038.96</td>\n", - " <td>135613.26</td>\n", + " <td>37875.57</td>\n", + " <td>455340.06</td>\n", + " <td>339119.32</td>\n", + " <td>9845.64</td>\n", + " <td>125682.73</td>\n", " </tr>\n", " <tr>\n", " <th>5.0</th>\n", - " <td>47693.65</td>\n", - " <td>598698.16</td>\n", - " <td>413750.00</td>\n", - " <td>613089.31</td>\n", - " <td>11038.96</td>\n", - " <td>135613.26</td>\n", + " <td>46326.75</td>\n", + " <td>568405.15</td>\n", + " <td>420239.94</td>\n", + " <td>9845.64</td>\n", + " <td>125682.73</td>\n", + " </tr>\n", + " <tr>\n", + " <th>6.0</th>\n", + " <td>54595.48</td>\n", + " <td>678030.96</td>\n", + " <td>498062.02</td>\n", + " <td>9845.64</td>\n", + " <td>125682.73</td>\n", + " </tr>\n", + " <tr>\n", + " <th>7.0</th>\n", + " <td>62720.98</td>\n", + " <td>782585.04</td>\n", + " <td>578495.44</td>\n", + " <td>9845.64</td>\n", + " <td>125682.73</td>\n", + " </tr>\n", + " <tr>\n", + " <th>8.0</th>\n", + " <td>70777.99</td>\n", + " <td>893618.35</td>\n", + " <td>661836.22</td>\n", + " <td>9845.64</td>\n", + " <td>125682.73</td>\n", + " </tr>\n", + " <tr>\n", + " <th>9.0</th>\n", + " <td>74236.02</td>\n", + " <td>956026.15</td>\n", + " <td>684808.49</td>\n", + " <td>9845.64</td>\n", + " <td>125682.73</td>\n", + " </tr>\n", + " <tr>\n", + " <th>10.0</th>\n", + " <td>78134.94</td>\n", + " <td>984942.13</td>\n", + " <td>707094.65</td>\n", + " <td>9845.64</td>\n", + " <td>125682.73</td>\n", + " </tr>\n", + " <tr>\n", + " <th>11.0</th>\n", + " <td>81886.33</td>\n", + " <td>1016758.62</td>\n", + " <td>732106.17</td>\n", + " <td>9845.64</td>\n", + " <td>125682.73</td>\n", + " </tr>\n", + " <tr>\n", + " <th>12.0</th>\n", + " <td>85923.44</td>\n", + " <td>1053087.90</td>\n", + " <td>752910.17</td>\n", + " <td>9845.64</td>\n", + " <td>125682.73</td>\n", + " </tr>\n", + " <tr>\n", + " <th>13.0</th>\n", + " <td>89696.95</td>\n", + " <td>1085797.87</td>\n", + " <td>776179.85</td>\n", + " <td>9845.64</td>\n", + " <td>125682.73</td>\n", + " </tr>\n", + " <tr>\n", + " <th>14.0</th>\n", + " <td>93540.52</td>\n", + " <td>1110640.20</td>\n", + " <td>797520.58</td>\n", + " <td>9845.64</td>\n", + " <td>125682.73</td>\n", + " </tr>\n", + " <tr>\n", + " <th>15.0</th>\n", + " <td>97641.51</td>\n", + " <td>1138984.22</td>\n", + " <td>822235.41</td>\n", + " <td>9845.64</td>\n", + " <td>125682.73</td>\n", + " </tr>\n", + " <tr>\n", + " <th>16.0</th>\n", + " <td>101692.65</td>\n", + " <td>1168943.19</td>\n", + " <td>843897.51</td>\n", + " <td>9845.64</td>\n", + " <td>125682.73</td>\n", + " </tr>\n", + " <tr>\n", + " <th>17.0</th>\n", + " <td>101236.75</td>\n", + " <td>1135093.91</td>\n", + " <td>843177.15</td>\n", + " <td>9845.64</td>\n", + " <td>125682.73</td>\n", + " </tr>\n", + " <tr>\n", + " <th>18.0</th>\n", + " <td>101006.28</td>\n", + " <td>1160430.45</td>\n", + " <td>844779.09</td>\n", + " <td>9845.64</td>\n", + " <td>125682.73</td>\n", + " </tr>\n", + " <tr>\n", + " <th>19.0</th>\n", + " <td>99952.26</td>\n", + " <td>1155769.97</td>\n", + " <td>846060.74</td>\n", + " <td>9845.64</td>\n", + " <td>125682.73</td>\n", + " </tr>\n", + " <tr>\n", + " <th>20.0</th>\n", + " <td>99798.64</td>\n", + " <td>1150156.26</td>\n", + " <td>847556.23</td>\n", + " <td>9845.64</td>\n", + " <td>125682.73</td>\n", + " </tr>\n", + " <tr>\n", + " <th>21.0</th>\n", + " <td>99018.86</td>\n", + " <td>1136873.58</td>\n", + " <td>844022.97</td>\n", + " <td>9845.64</td>\n", + " <td>125682.73</td>\n", + " </tr>\n", + " <tr>\n", + " <th>22.0</th>\n", + " <td>98600.87</td>\n", + " <td>1112404.25</td>\n", + " <td>845818.70</td>\n", + " <td>9845.64</td>\n", + " <td>125682.73</td>\n", + " </tr>\n", + " <tr>\n", + " <th>23.0</th>\n", + " <td>98634.02</td>\n", + " <td>1143131.72</td>\n", + " <td>844118.27</td>\n", + " <td>9845.64</td>\n", + " <td>125682.73</td>\n", + " </tr>\n", + " <tr>\n", + " <th>24.0</th>\n", + " <td>98352.90</td>\n", + " <td>1143931.38</td>\n", + " <td>837189.02</td>\n", + " <td>9845.64</td>\n", + " <td>125682.73</td>\n", + " </tr>\n", + " <tr>\n", + " <th>25.0</th>\n", + " <td>98118.63</td>\n", + " <td>1102090.61</td>\n", + " <td>834712.31</td>\n", + " <td>9845.64</td>\n", + " <td>125682.73</td>\n", + " </tr>\n", + " <tr>\n", + " <th>26.0</th>\n", + " <td>97752.45</td>\n", + " <td>1116518.70</td>\n", + " <td>836344.12</td>\n", + " <td>9845.64</td>\n", + " <td>125682.73</td>\n", + " </tr>\n", + " <tr>\n", + " <th>27.0</th>\n", + " <td>97864.07</td>\n", + " <td>1099224.19</td>\n", + " <td>827784.91</td>\n", + " <td>9845.64</td>\n", + " <td>125682.73</td>\n", + " </tr>\n", + " <tr>\n", + " <th>28.0</th>\n", + " <td>97821.80</td>\n", + " <td>1114945.37</td>\n", + " <td>828641.27</td>\n", + " <td>9845.64</td>\n", + " <td>125682.73</td>\n", + " </tr>\n", + " <tr>\n", + " <th>29.0</th>\n", + " <td>97564.87</td>\n", + " <td>1110889.91</td>\n", + " <td>826123.67</td>\n", + " <td>9845.64</td>\n", + " <td>125682.73</td>\n", + " </tr>\n", + " <tr>\n", + " <th>30.0</th>\n", + " <td>98508.10</td>\n", + " <td>1058548.28</td>\n", + " <td>817765.77</td>\n", + " <td>9845.64</td>\n", + " <td>125682.73</td>\n", + " </tr>\n", + " <tr>\n", + " <th>31.0</th>\n", + " <td>98238.96</td>\n", + " <td>1119804.85</td>\n", + " <td>816556.66</td>\n", + " <td>9845.64</td>\n", + " <td>125682.73</td>\n", + " </tr>\n", + " <tr>\n", + " <th>32.0</th>\n", + " <td>98363.93</td>\n", + " <td>1118828.99</td>\n", + " <td>812661.77</td>\n", + " <td>9845.64</td>\n", + " <td>125682.73</td>\n", + " </tr>\n", + " <tr>\n", + " <th>33.0</th>\n", + " <td>96758.69</td>\n", + " <td>1093426.61</td>\n", + " <td>805352.16</td>\n", + " <td>9845.64</td>\n", + " <td>125682.73</td>\n", + " </tr>\n", + " <tr>\n", + " <th>34.0</th>\n", + " <td>96327.00</td>\n", + " <td>1108123.59</td>\n", + " <td>815888.26</td>\n", + " <td>9845.64</td>\n", + " <td>125682.73</td>\n", + " </tr>\n", + " <tr>\n", + " <th>35.0</th>\n", + " <td>95913.98</td>\n", + " <td>1041486.52</td>\n", + " <td>812348.56</td>\n", + " <td>9845.64</td>\n", + " <td>125682.73</td>\n", + " </tr>\n", + " <tr>\n", + " <th>36.0</th>\n", + " <td>95871.39</td>\n", + " <td>1092395.61</td>\n", + " <td>817278.03</td>\n", + " <td>9845.64</td>\n", + " <td>125682.73</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", @@ -603,60 +823,207 @@ "text/plain": [ "label Multicore: Non-persistent mode + kernel config \\\n", "parallel_fuzzers \n", - "1.0 11019.30 \n", - "2.0 21111.92 \n", - "3.0 30568.82 \n", - "4.0 38963.07 \n", - "5.0 47693.65 \n", + "1.0 10714.79 \n", + "2.0 20493.07 \n", + "3.0 29660.06 \n", + "4.0 37875.57 \n", + "5.0 46326.75 \n", + "6.0 54595.48 \n", + "7.0 62720.98 \n", + "8.0 70777.99 \n", + "9.0 74236.02 \n", + "10.0 78134.94 \n", + "11.0 81886.33 \n", + "12.0 85923.44 \n", + "13.0 89696.95 \n", + "14.0 93540.52 \n", + "15.0 97641.51 \n", + "16.0 101692.65 \n", + "17.0 101236.75 \n", + "18.0 101006.28 \n", + "19.0 99952.26 \n", + "20.0 99798.64 \n", + "21.0 99018.86 \n", + "22.0 98600.87 \n", + "23.0 98634.02 \n", + "24.0 98352.90 \n", + "25.0 98118.63 \n", + "26.0 97752.45 \n", + "27.0 97864.07 \n", + "28.0 97821.80 \n", + "29.0 97564.87 \n", + "30.0 98508.10 \n", + "31.0 98238.96 \n", + "32.0 98363.93 \n", + "33.0 96758.69 \n", + "34.0 96327.00 \n", + "35.0 95913.98 \n", + "36.0 95871.39 \n", "\n", "label Multicore: Persistent mode/shared memory + kernel config \\\n", "parallel_fuzzers \n", - "1.0 133591.26 \n", - "2.0 255995.07 \n", - "3.0 380246.34 \n", - "4.0 490254.72 \n", - "5.0 598698.16 \n", + "1.0 120293.77 \n", + "2.0 231429.96 \n", + "3.0 346759.33 \n", + "4.0 455340.06 \n", + "5.0 568405.15 \n", + "6.0 678030.96 \n", + "7.0 782585.04 \n", + "8.0 893618.35 \n", + "9.0 956026.15 \n", + "10.0 984942.13 \n", + "11.0 1016758.62 \n", + "12.0 1053087.90 \n", + "13.0 1085797.87 \n", + "14.0 1110640.20 \n", + "15.0 1138984.22 \n", + "16.0 1168943.19 \n", + "17.0 1135093.91 \n", + "18.0 1160430.45 \n", + "19.0 1155769.97 \n", + "20.0 1150156.26 \n", + "21.0 1136873.58 \n", + "22.0 1112404.25 \n", + "23.0 1143131.72 \n", + "24.0 1143931.38 \n", + "25.0 1102090.61 \n", + "26.0 1116518.70 \n", + "27.0 1099224.19 \n", + "28.0 1114945.37 \n", + "29.0 1110889.91 \n", + "30.0 1058548.28 \n", + "31.0 1119804.85 \n", + "32.0 1118828.99 \n", + "33.0 1093426.61 \n", + "34.0 1108123.59 \n", + "35.0 1041486.52 \n", + "36.0 1092395.61 \n", "\n", "label Multicore: Persistent mode/shared memory without kernel config \\\n", "parallel_fuzzers \n", - "1.0 90851.40 \n", - "2.0 176159.32 \n", - "3.0 260268.78 \n", - "4.0 336355.99 \n", - "5.0 413750.00 \n", - "\n", - "label Multicore: afl_execs: Persistent mode/shared memory + kernel config \\\n", - "parallel_fuzzers \n", - "1.0 134423.50 \n", - "2.0 258490.04 \n", - "3.0 383777.45 \n", - "4.0 496249.48 \n", - "5.0 613089.31 \n", + "1.0 90641.62 \n", + "2.0 178184.19 \n", + "3.0 262652.86 \n", + "4.0 339119.32 \n", + "5.0 420239.94 \n", + "6.0 498062.02 \n", + "7.0 578495.44 \n", + "8.0 661836.22 \n", + "9.0 684808.49 \n", + "10.0 707094.65 \n", + "11.0 732106.17 \n", + "12.0 752910.17 \n", + "13.0 776179.85 \n", + "14.0 797520.58 \n", + "15.0 822235.41 \n", + "16.0 843897.51 \n", + "17.0 843177.15 \n", + "18.0 844779.09 \n", + "19.0 846060.74 \n", + "20.0 847556.23 \n", + "21.0 844022.97 \n", + "22.0 845818.70 \n", + "23.0 844118.27 \n", + "24.0 837189.02 \n", + "25.0 834712.31 \n", + "26.0 836344.12 \n", + "27.0 827784.91 \n", + "28.0 828641.27 \n", + "29.0 826123.67 \n", + "30.0 817765.77 \n", + "31.0 816556.66 \n", + "32.0 812661.77 \n", + "33.0 805352.16 \n", + "34.0 815888.26 \n", + "35.0 812348.56 \n", + "36.0 817278.03 \n", "\n", "label Singlecore: Non-persistent mode + kernel config \\\n", "parallel_fuzzers \n", - "1.0 11038.96 \n", - "2.0 11038.96 \n", - "3.0 11038.96 \n", - "4.0 11038.96 \n", - "5.0 11038.96 \n", + "1.0 9845.64 \n", + "2.0 9845.64 \n", + "3.0 9845.64 \n", + "4.0 9845.64 \n", + "5.0 9845.64 \n", + "6.0 9845.64 \n", + "7.0 9845.64 \n", + "8.0 9845.64 \n", + "9.0 9845.64 \n", + "10.0 9845.64 \n", + "11.0 9845.64 \n", + "12.0 9845.64 \n", + "13.0 9845.64 \n", + "14.0 9845.64 \n", + "15.0 9845.64 \n", + "16.0 9845.64 \n", + "17.0 9845.64 \n", + "18.0 9845.64 \n", + "19.0 9845.64 \n", + "20.0 9845.64 \n", + "21.0 9845.64 \n", + "22.0 9845.64 \n", + "23.0 9845.64 \n", + "24.0 9845.64 \n", + "25.0 9845.64 \n", + "26.0 9845.64 \n", + "27.0 9845.64 \n", + "28.0 9845.64 \n", + "29.0 9845.64 \n", + "30.0 9845.64 \n", + "31.0 9845.64 \n", + "32.0 9845.64 \n", + "33.0 9845.64 \n", + "34.0 9845.64 \n", + "35.0 9845.64 \n", + "36.0 9845.64 \n", "\n", "label Singlecore: Persistent mode/shared memory + kernel config \n", "parallel_fuzzers \n", - "1.0 135613.26 \n", - "2.0 135613.26 \n", - "3.0 135613.26 \n", - "4.0 135613.26 \n", - "5.0 135613.26 " + "1.0 125682.73 \n", + "2.0 125682.73 \n", + "3.0 125682.73 \n", + "4.0 125682.73 \n", + "5.0 125682.73 \n", + "6.0 125682.73 \n", + "7.0 125682.73 \n", + "8.0 125682.73 \n", + "9.0 125682.73 \n", + "10.0 125682.73 \n", + "11.0 125682.73 \n", + "12.0 125682.73 \n", + "13.0 125682.73 \n", + "14.0 125682.73 \n", + "15.0 125682.73 \n", + "16.0 125682.73 \n", + "17.0 125682.73 \n", + "18.0 125682.73 \n", + "19.0 125682.73 \n", + "20.0 125682.73 \n", + "21.0 125682.73 \n", + "22.0 125682.73 \n", + "23.0 125682.73 \n", + "24.0 125682.73 \n", + "25.0 125682.73 \n", + "26.0 125682.73 \n", + "27.0 125682.73 \n", + "28.0 125682.73 \n", + "29.0 125682.73 \n", + "30.0 125682.73 \n", + "31.0 125682.73 \n", + "32.0 125682.73 \n", + "33.0 125682.73 \n", + "34.0 125682.73 \n", + "35.0 125682.73 \n", + "36.0 125682.73 " ] }, - "execution_count": 46, + "execution_count": 148, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "pivotdf.head()" + "pivotdf" ] }, { @@ -668,7 +1035,7 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 149, "metadata": {}, "outputs": [ { @@ -680,81 +1047,71 @@ "\n", "#### test-instr vs. test-instr-persist-shmem\n", "\n", - "This graph is scaled so that the single-core, non-persistent-mode performance (11038 execs per second) is\n", + "This graph is scaled so that the single-core, non-persistent-mode performance (9845 execs per second) is\n", "represented as **1.0x**. If you build and run a fuzzer without creating a persistent mode harness for it, and without running fuzzers in parallel, this is the performance\n", "you get on this machine.\n", "\n", "#### Multicore test-instr\n", "\n", - "By running as many parallel fuzzers are there are CPU threads, we can reach 103765 execs per second, which is **9.4x** that base speed.\n", + "By running as many parallel fuzzers are there are CPU threads, we can reach 101692 execs per second, which is **10.3x** that base speed.\n", "\n", "#### Persistent mode + shared memory\n", "\n", "##### Singlecore\n", "\n", "By modifying the harness to use persistent mode with shared memory as described [here](https://github.com/AFLplusplus/AFLplusplus/blob/stable/instrumentation/README.persistent_mode.md#4-persistent-mode),\n", - "we end up with **12.3x** base speed. So -- perhaps counter-intuively -- if you have a choice between switching to using multiple cores or rewriting\n", + "we end up with **12.8x** base speed. So -- perhaps counter-intuively -- if you have a choice between switching to using multiple cores or rewriting\n", "the harness to use persistent mode on a single core, it is better (at least on this machine) to use persistent mode on a single core, than to use non-persistent mode on all cores.\n", "\n", "##### Multicore\n", "\n", "By scaling up that persistent mode with shared memory harness across cores, and with kernel mitigations still turned on (see next section), we get to\n", - "**75.6x** base speed.\n", + "**86.1x** base speed.\n", "\n", "#### Kernel config\n", "\n", "By \"kernel config\", I'm referring to booting the Linux kernel with `mitigations=off`, which is a meta-parameter for disabling *all* hardware vulnerability meltdowns (such as Spectre,\n", - "Meltdown, Retbleed, etc) introduced in Linux v5.2. Disabling these results in a `total_execs_per_sec` increase of 368476 execs -- the difference between\n", - "109.0x (mitigations off) and 75.6x (mitigations on) base speed. Turning on mitigations\n", - "reduced the overall performance by 31%!\n", + "Meltdown, Retbleed, etc) introduced in Linux v5.2. Disabling these results in a `execs_per_sec` increase of 321386 execs -- the difference between\n", + "118.7x (mitigations off) and 86.1x (mitigations on) base speed. Turning on mitigations\n", + "reduced the overall performance by 27%!\n", "\n", "One way to think about this is that the mitigations turn this 16-thread CPU into a 7-thread CPU, since the number of execs reached with 16 threads and mitigations on is around the same\n", "number of execs reached with 7 threads and mitigations off.\n", "\n", - "Or if we want to think in terms of cores, then the average number of execs gained per core in the initial eight is 115588 execs per sec, but the loss due to\n", - "mitigations is 368476 execs per sec, which is the averaged performance of 3.2 cores.\n", + "Or if we want to think in terms of cores, then the average number of execs gained per core in the initial eight is 110474 execs per sec, but the loss due to\n", + "mitigations is 321386 execs per sec, which is the averaged performance of 2.9 cores.\n", "\n", - "With kernel mitigations turned off, we reach our highest available total_execs_per_sec speed on this machine, which is **109.0x** higher\n", + "With kernel mitigations turned off, we reach our highest available execs_per_sec speed on this machine, which is **118.7x** higher\n", "than where we started from.\n", "\n", - "#### afl_execs_per_sec vs. total_execs_per_sec\n", - "\n", - "* The purple line at the top is measuring `afl_execs_per_sec`. This is afl's own measurement of the speed of each fuzzer process, from the `out/fuzzer/fuzzer_stats` file.\n", - " * It peaks at 23 fuzzers running in parallel, on this 8-core (16-thread) CPU.\n", - " * In contrast, `total_execs_per_sec` shows large drops in performance as we pass 8 (cores) and 16 (threads) fuzzers.\n", - " * I'm inclined to trust `total_execs_per_sec` `(total_execs / (end time - start time))` more, so we'll use that from now on.\n", - "\n", "#### How many parallel fuzzers should we use on this machine?\n", "\n", - "* The drops in performance after 8/16 fuzzers are profound.\n", - " * Using 9-12 fuzzers is *worse* than using 8 fuzzers on this 8C/16T system, but using 13-16 is better than 8.\n", - " * And using >16 is worse than using 16. Makes sense.\n", - " * We should use the number of CPUs in /proc/cpuinfo (threads) to get the best performance. But if we did halve the number of\n", - " fuzzers, we would surprisingly only lose 21%\n", - " of performance. This could be a good tradeoff in terms of cost.\n" + "* Using >16 is worse than using 16. Makes sense.\n", + "* So, we should use the number of CPUs in /proc/cpuinfo (threads) to get the best performance. But if we did halve the number of\n", + " fuzzers, we would surprisingly only lose 23%\n", + " of performance. This could be a good tradeoff in terms of cost.\n" ], "text/plain": [ "<IPython.core.display.Markdown object>" ] }, - "execution_count": 47, + "execution_count": 149, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "# (Ignore this code cell.)\n", + "# (You can ignore reading this code cell.)\n", "from IPython.display import Markdown as md\n", "singlecore_base_execs = pivotdf.iloc[0][\"Singlecore: Non-persistent mode + kernel config\"]\n", "singlecore_persist_execs = pivotdf.iloc[0][\"Singlecore: Persistent mode/shared memory + kernel config\"]\n", - "multicore_fuzzers_with_afl_max_execs = int(pivotdf[\"Multicore: afl_execs: Persistent mode/shared memory + kernel config\"].idxmax())\n", - "multicore_fuzzers_with_total_max_execs = int(pivotdf[\"Multicore: Persistent mode/shared memory + kernel config\"].idxmax())\n", + "multicore_fuzzers_max_execs = int(pivotdf[\"Multicore: Persistent mode/shared memory + kernel config\"].idxmax())\n", "multicore_base_max_execs = pivotdf[\"Multicore: Non-persistent mode + kernel config\"].max()\n", "factor_for_execs = lambda execs: round(execs / singlecore_base_execs, 1)\n", "\n", "multicore_persistent_without_mitigations_label = \"Multicore: Persistent mode/shared memory + kernel config\"\n", "multicore_max_execs_mitigations_off = pivotdf[multicore_persistent_without_mitigations_label].max()\n", - "multicore_max_execs_mitigations_off_only_cores = pivotdf.loc[multicore_fuzzers_with_total_max_execs / 2][multicore_persistent_without_mitigations_label]\n", + "multicore_max_execs_mitigations_off_only_cores = pivotdf.loc[multicore_fuzzers_max_execs / 2][multicore_persistent_without_mitigations_label]\n", "multicore_max_execs_mitigations_on = pivotdf[\"Multicore: Persistent mode/shared memory without kernel config\"].max()\n", "multicore_avg_gain_per_core = pivotdf.loc[pivotdf.index <= 8][\"Multicore: Persistent mode/shared memory + kernel config\"].diff().dropna().mean()\n", "mitigations_off_increase = int(multicore_max_execs_mitigations_off - multicore_max_execs_mitigations_on)\n", @@ -789,7 +1146,7 @@ "#### Kernel config\n", "\n", "By \"kernel config\", I'm referring to booting the Linux kernel with `mitigations=off`, which is a meta-parameter for disabling *all* hardware vulnerability meltdowns (such as Spectre,\n", - "Meltdown, Retbleed, etc) introduced in Linux v5.2. Disabling these results in a `total_execs_per_sec` increase of {mitigations_off_increase} execs -- the difference between\n", + "Meltdown, Retbleed, etc) introduced in Linux v5.2. Disabling these results in a `execs_per_sec` increase of {mitigations_off_increase} execs -- the difference between\n", "{factor_for_execs(multicore_max_execs_mitigations_off)}x (mitigations off) and {factor_for_execs(multicore_max_execs_mitigations_on)}x (mitigations on) base speed. Turning on mitigations\n", "reduced the overall performance by {abs(round(((multicore_max_execs_mitigations_on - multicore_max_execs_mitigations_off) / multicore_max_execs_mitigations_off) * 100))}%!\n", "\n", @@ -799,24 +1156,15 @@ "Or if we want to think in terms of cores, then the average number of execs gained per core in the initial eight is {int(multicore_avg_gain_per_core)} execs per sec, but the loss due to\n", "mitigations is {mitigations_off_increase} execs per sec, which is the averaged performance of {round(mitigations_off_increase / multicore_avg_gain_per_core, 1)} cores.\n", "\n", - "With kernel mitigations turned off, we reach our highest available total_execs_per_sec speed on this machine, which is **{factor_for_execs(multicore_max_execs_mitigations_off)}x** higher\n", + "With kernel mitigations turned off, we reach our highest available execs_per_sec speed on this machine, which is **{factor_for_execs(multicore_max_execs_mitigations_off)}x** higher\n", "than where we started from.\n", "\n", - "#### afl_execs_per_sec vs. total_execs_per_sec\n", - "\n", - "* The purple line at the top is measuring `afl_execs_per_sec`. This is afl's own measurement of the speed of each fuzzer process, from the `out/fuzzer/fuzzer_stats` file.\n", - " * It peaks at {multicore_fuzzers_with_afl_max_execs} fuzzers running in parallel, on this 8-core (16-thread) CPU.\n", - " * In contrast, `total_execs_per_sec` shows large drops in performance as we pass 8 (cores) and 16 (threads) fuzzers.\n", - " * I'm inclined to trust `total_execs_per_sec` `(total_execs / (end time - start time))` more, so we'll use that from now on.\n", - "\n", "#### How many parallel fuzzers should we use on this machine?\n", "\n", - "* The drops in performance after 8/16 fuzzers are profound.\n", - " * Using 9-12 fuzzers is *worse* than using 8 fuzzers on this 8C/16T system, but using 13-16 is better than 8.\n", - " * And using >16 is worse than using 16. Makes sense.\n", - " * We should use the number of CPUs in /proc/cpuinfo (threads) to get the best performance. But if we did halve the number of\n", - " fuzzers, we would surprisingly only lose {abs(int(((multicore_max_execs_mitigations_off_only_cores - multicore_max_execs_mitigations_off) / multicore_max_execs_mitigations_off) * 100))}%\n", - " of performance. This could be a good tradeoff in terms of cost.\n", + "* Using >16 is worse than using 16. Makes sense.\n", + "* So, we should use the number of CPUs in /proc/cpuinfo (threads) to get the best performance. But if we did halve the number of\n", + " fuzzers, we would surprisingly only lose {abs(int(((multicore_max_execs_mitigations_off_only_cores - multicore_max_execs_mitigations_off) / multicore_max_execs_mitigations_off) * 100))}%\n", + " of performance. This could be a good tradeoff in terms of cost.\n", "\"\"\")\n" ] }, @@ -826,12 +1174,12 @@ "source": [ "### Example with more cores\n", "\n", - "While there was some nuance here, the answer was pretty straightforward -- use the number of CPU threads you have access to. What if there were more threads? Here the experiment is repeated on an AWS EC2 \"r6a.48xlarge\" spot instance with 192 vCPUs, and the answer calls the conclusion we just made above into question:" + "While there was some nuance here, the answer was pretty straightforward -- use the number of CPU threads you have access to. What if there were more threads? Here the experiment is repeated on an AWS EC2 \"r6a.48xlarge\" spot instance with 192 vCPUs:" ] }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 150, "metadata": {}, "outputs": [ { @@ -864,53 +1212,41 @@ " <th>hardware.cpu_fastest_core_mhz</th>\n", " <th>hardware.cpu_model</th>\n", " <th>hardware.cpu_threads</th>\n", - " <th>targets.test-instr-persist-shmem.multicore.afl_execs_per_sec</th>\n", - " <th>targets.test-instr-persist-shmem.multicore.afl_execs_total</th>\n", + " <th>targets.test-instr-persist-shmem.multicore.execs_per_sec</th>\n", + " <th>targets.test-instr-persist-shmem.multicore.execs_total</th>\n", " <th>targets.test-instr-persist-shmem.multicore.fuzzers_used</th>\n", - " <th>targets.test-instr-persist-shmem.multicore.run_end</th>\n", - " <th>targets.test-instr-persist-shmem.multicore.run_start</th>\n", - " <th>targets.test-instr-persist-shmem.multicore.total_execs_per_sec</th>\n", - " <th>targets.test-instr-persist-shmem.multicore.total_run_time</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", - " <th>148</th>\n", - " <td>False</td>\n", + " <th>223</th>\n", + " <td>True</td>\n", " <td>True</td>\n", " <td>++4.09a</td>\n", " <td>AWS EC2 r6a.48xlarge spot instance</td>\n", " <td>clang version 15.0.7 (Amazon Linux 15.0.7-3.am...</td>\n", " <td>x86_64-amazon-linux-gnu</td>\n", - " <td>3599.314</td>\n", + " <td>3514.326</td>\n", " <td>AMD EPYC 7R13 Processor</td>\n", " <td>192</td>\n", - " <td>85586.47</td>\n", - " <td>519670.0</td>\n", + " <td>119469.35</td>\n", + " <td>1194813.0</td>\n", " <td>1.0</td>\n", - " <td>2023-09-30 07:42:00.479418</td>\n", - " <td>2023-09-30 07:41:57.396293</td>\n", - " <td>84636.81</td>\n", - " <td>6.14</td>\n", " </tr>\n", " <tr>\n", - " <th>149</th>\n", - " <td>False</td>\n", + " <th>224</th>\n", + " <td>True</td>\n", " <td>True</td>\n", " <td>++4.09a</td>\n", " <td>AWS EC2 r6a.48xlarge spot instance</td>\n", " <td>clang version 15.0.7 (Amazon Linux 15.0.7-3.am...</td>\n", " <td>x86_64-amazon-linux-gnu</td>\n", - " <td>3599.425</td>\n", + " <td>3599.748</td>\n", " <td>AMD EPYC 7R13 Processor</td>\n", " <td>192</td>\n", - " <td>171655.96</td>\n", - " <td>1039340.0</td>\n", + " <td>237177.20</td>\n", + " <td>2372250.0</td>\n", " <td>2.0</td>\n", - " <td>2023-09-30 07:42:06.853436</td>\n", - " <td>2023-09-30 07:42:03.776562</td>\n", - " <td>168998.37</td>\n", - " <td>6.15</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", @@ -918,55 +1254,39 @@ ], "text/plain": [ " config.afl_persistent_config config.afl_system_config \\\n", - "148 False True \n", - "149 False True \n", + "223 True True \n", + "224 True True \n", "\n", " config.afl_version config.comment \\\n", - "148 ++4.09a AWS EC2 r6a.48xlarge spot instance \n", - "149 ++4.09a AWS EC2 r6a.48xlarge spot instance \n", + "223 ++4.09a AWS EC2 r6a.48xlarge spot instance \n", + "224 ++4.09a AWS EC2 r6a.48xlarge spot instance \n", "\n", " config.compiler \\\n", - "148 clang version 15.0.7 (Amazon Linux 15.0.7-3.am... \n", - "149 clang version 15.0.7 (Amazon Linux 15.0.7-3.am... \n", + "223 clang version 15.0.7 (Amazon Linux 15.0.7-3.am... \n", + "224 clang version 15.0.7 (Amazon Linux 15.0.7-3.am... \n", "\n", " config.target_arch hardware.cpu_fastest_core_mhz \\\n", - "148 x86_64-amazon-linux-gnu 3599.314 \n", - "149 x86_64-amazon-linux-gnu 3599.425 \n", + "223 x86_64-amazon-linux-gnu 3514.326 \n", + "224 x86_64-amazon-linux-gnu 3599.748 \n", "\n", " hardware.cpu_model hardware.cpu_threads \\\n", - "148 AMD EPYC 7R13 Processor 192 \n", - "149 AMD EPYC 7R13 Processor 192 \n", - "\n", - " targets.test-instr-persist-shmem.multicore.afl_execs_per_sec \\\n", - "148 85586.47 \n", - "149 171655.96 \n", + "223 AMD EPYC 7R13 Processor 192 \n", + "224 AMD EPYC 7R13 Processor 192 \n", "\n", - " targets.test-instr-persist-shmem.multicore.afl_execs_total \\\n", - "148 519670.0 \n", - "149 1039340.0 \n", + " targets.test-instr-persist-shmem.multicore.execs_per_sec \\\n", + "223 119469.35 \n", + "224 237177.20 \n", "\n", - " targets.test-instr-persist-shmem.multicore.fuzzers_used \\\n", - "148 1.0 \n", - "149 2.0 \n", + " targets.test-instr-persist-shmem.multicore.execs_total \\\n", + "223 1194813.0 \n", + "224 2372250.0 \n", "\n", - " targets.test-instr-persist-shmem.multicore.run_end \\\n", - "148 2023-09-30 07:42:00.479418 \n", - "149 2023-09-30 07:42:06.853436 \n", - "\n", - " targets.test-instr-persist-shmem.multicore.run_start \\\n", - "148 2023-09-30 07:41:57.396293 \n", - "149 2023-09-30 07:42:03.776562 \n", - "\n", - " targets.test-instr-persist-shmem.multicore.total_execs_per_sec \\\n", - "148 84636.81 \n", - "149 168998.37 \n", - "\n", - " targets.test-instr-persist-shmem.multicore.total_run_time \n", - "148 6.14 \n", - "149 6.15 " + " targets.test-instr-persist-shmem.multicore.fuzzers_used \n", + "223 1.0 \n", + "224 2.0 " ] }, - "execution_count": 48, + "execution_count": 150, "metadata": {}, "output_type": "execute_result" } @@ -978,7 +1298,7 @@ }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 151, "metadata": {}, "outputs": [ { @@ -1011,36 +1331,36 @@ " </thead>\n", " <tbody>\n", " <tr>\n", - " <th>399</th>\n", - " <td>331957.22</td>\n", - " <td>200.0</td>\n", + " <th>0</th>\n", + " <td>119469.35</td>\n", + " <td>1.0</td>\n", " <td>True</td>\n", " <td>True</td>\n", - " <td>Multicore: afl_execs: Persistent mode/shared m...</td>\n", + " <td>Multicore: Persistent mode/shared memory + ker...</td>\n", " </tr>\n", " <tr>\n", - " <th>153</th>\n", - " <td>1026766.44</td>\n", - " <td>77.0</td>\n", + " <th>1</th>\n", + " <td>237177.20</td>\n", + " <td>2.0</td>\n", " <td>True</td>\n", " <td>True</td>\n", - " <td>Multicore: afl_execs: Persistent mode/shared m...</td>\n", + " <td>Multicore: Persistent mode/shared memory + ker...</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ - " execs_per_sec parallel_fuzzers afl_persistent_config \\\n", - "399 331957.22 200.0 True \n", - "153 1026766.44 77.0 True \n", + " execs_per_sec parallel_fuzzers afl_persistent_config afl_system_config \\\n", + "0 119469.35 1.0 True True \n", + "1 237177.20 2.0 True True \n", "\n", - " afl_system_config label \n", - "399 True Multicore: afl_execs: Persistent mode/shared m... \n", - "153 True Multicore: afl_execs: Persistent mode/shared m... " + " label \n", + "0 Multicore: Persistent mode/shared memory + ker... \n", + "1 Multicore: Persistent mode/shared memory + ker... 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font-weight: normal; white-space: pre;\">Fuzz target executions per second</text></g></g></svg>" ] }, "metadata": {}, @@ -1081,7 +1401,7 @@ "ticktext = [f\"{val:.0f}x\" for val in tickvals / graphdf['execs_per_sec'].min()]\n", "# Update the primary Y-axis with custom tick labels\n", "r6a_fig.update_yaxes(tickvals=tickvals, ticktext=ticktext)\n", - "r6a_fig.update_xaxes(tickvals=list(range(0,200+1, 5)))\n", + "r6a_fig.update_xaxes(tickvals=list(range(0,200+1, 4)))\n", "r6a_fig.update_layout(width=1200, height=400)\n", "r6a_fig.show(\"svg\")" ] @@ -1092,11 +1412,11 @@ "source": [ "### Line graph analysis\n", "\n", - "This is a shocking result for a 192 vCPU machine -- whether you count `afl_execs` or `total_execs`, our optimal number of parallel fuzzers was 16!\n", + "This is a shocking result for a 192 vCPU machine -- our optimal number of parallel fuzzers was 16! Using 32 parallel fuzzers gives less performance than using 8 fuzzers. Using 192 parallel fuzzers (the physical number of threads in this machine) gives the same performance as using 4 fuzzers.\n", "\n", - "Does this mean that AFL++ is a bad fuzzer, or that AWS tricked us and gave us a 16-thread machine instead of a 192-thread one?\n", + "This is clearly a cautionary tale about measuring before simply using the number of hardware threads in your machine. But does this mean that AFL++ is a bad fuzzer, or that AWS tricked us and gave us a 16-thread machine instead of a 192-thread one?\n", "\n", - "No, probably not -- the most likely causes here are a problem with our Python harness, or potentially that we're already saturating the Linux kernel's ability to service system calls, although we're definitely hitting such a limit way earlier than expected. A good way to test this theory would be to run more system-call-servicers (read: kernels!) at once on this machine; one way to do that is to use hardware virtualization with KVM. " + "No, probably not -- the most likely cause here (other than a horrible bug) may be that we're already saturating the Linux kernel's ability to service system calls (although we're definitely hitting such a limit way earlier than I expected). A good way to test this theory would be to run more system-call-servicers (read: kernels!) at once on this machine; one way to do that is to use hardware virtualization with KVM. " ] } ], @@ -1116,7 +1436,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.3" + "version": "3.11.5" }, "orig_nbformat": 4 }, |