mirror of
https://github.com/boostorg/histogram.git
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update fill benchmarks
This commit is contained in:
Hans Dembinski
parent
badcd1c115
commit
3b687db2bc
@ -33,28 +33,28 @@ using DStore = boost::histogram::adaptive_storage<>;
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using namespace boost::histogram;
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using reg = axis::regular<>;
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template <class Tag, class Storage, class Distribution>
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template <class Distribution, class Tag, class Storage>
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static void fill_1d(benchmark::State& state) {
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auto h = make_s(Tag(), Storage(), reg(100, 0, 1));
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auto gen = generator<Distribution>();
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for (auto _ : state) benchmark::DoNotOptimize(h(gen()));
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}
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template <class Tag, class Storage, class Distribution>
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template <class Distribution, class Tag, class Storage>
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static void fill_2d(benchmark::State& state) {
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auto h = make_s(Tag(), Storage(), reg(100, 0, 1), reg(100, 0, 1));
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auto gen = generator<Distribution>();
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for (auto _ : state) benchmark::DoNotOptimize(h(gen(), gen()));
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}
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template <class Tag, class Storage, class Distribution>
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template <class Distribution, class Tag, class Storage>
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static void fill_3d(benchmark::State& state) {
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auto h = make_s(Tag(), Storage(), reg(100, 0, 1), reg(100, 0, 1), reg(100, 0, 1));
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auto gen = generator<Distribution>();
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for (auto _ : state) benchmark::DoNotOptimize(h(gen(), gen(), gen()));
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}
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template <class Tag, class Storage, class Distribution>
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template <class Distribution, class Tag, class Storage>
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static void fill_6d(benchmark::State& state) {
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auto h = make_s(Tag(), Storage(), reg(10, 0, 1), reg(10, 0, 1), reg(10, 0, 1),
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reg(10, 0, 1), reg(10, 0, 1), reg(10, 0, 1));
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@ -63,36 +63,36 @@ static void fill_6d(benchmark::State& state) {
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benchmark::DoNotOptimize(h(gen(), gen(), gen(), gen(), gen(), gen()));
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}
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BENCHMARK_TEMPLATE(fill_1d, static_tag, SStore, uniform);
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BENCHMARK_TEMPLATE(fill_1d, static_tag, DStore, uniform);
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BENCHMARK_TEMPLATE(fill_1d, dynamic_tag, SStore, uniform);
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BENCHMARK_TEMPLATE(fill_1d, dynamic_tag, DStore, uniform);
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BENCHMARK_TEMPLATE(fill_2d, static_tag, SStore, uniform);
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BENCHMARK_TEMPLATE(fill_2d, static_tag, DStore, uniform);
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BENCHMARK_TEMPLATE(fill_2d, dynamic_tag, SStore, uniform);
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BENCHMARK_TEMPLATE(fill_2d, dynamic_tag, DStore, uniform);
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BENCHMARK_TEMPLATE(fill_3d, static_tag, SStore, uniform);
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BENCHMARK_TEMPLATE(fill_3d, static_tag, DStore, uniform);
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BENCHMARK_TEMPLATE(fill_3d, dynamic_tag, SStore, uniform);
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BENCHMARK_TEMPLATE(fill_3d, dynamic_tag, DStore, uniform);
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BENCHMARK_TEMPLATE(fill_6d, static_tag, SStore, uniform);
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BENCHMARK_TEMPLATE(fill_6d, static_tag, DStore, uniform);
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BENCHMARK_TEMPLATE(fill_6d, dynamic_tag, SStore, uniform);
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BENCHMARK_TEMPLATE(fill_6d, dynamic_tag, DStore, uniform);
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BENCHMARK_TEMPLATE(fill_1d, uniform, static_tag, SStore);
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BENCHMARK_TEMPLATE(fill_1d, uniform, static_tag, DStore);
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BENCHMARK_TEMPLATE(fill_1d, uniform, dynamic_tag, SStore);
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BENCHMARK_TEMPLATE(fill_1d, uniform, dynamic_tag, DStore);
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BENCHMARK_TEMPLATE(fill_2d, uniform, static_tag, SStore);
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BENCHMARK_TEMPLATE(fill_2d, uniform, static_tag, DStore);
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BENCHMARK_TEMPLATE(fill_2d, uniform, dynamic_tag, SStore);
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BENCHMARK_TEMPLATE(fill_2d, uniform, dynamic_tag, DStore);
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BENCHMARK_TEMPLATE(fill_3d, uniform, static_tag, SStore);
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BENCHMARK_TEMPLATE(fill_3d, uniform, static_tag, DStore);
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BENCHMARK_TEMPLATE(fill_3d, uniform, dynamic_tag, SStore);
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BENCHMARK_TEMPLATE(fill_3d, uniform, dynamic_tag, DStore);
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BENCHMARK_TEMPLATE(fill_6d, uniform, static_tag, SStore);
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BENCHMARK_TEMPLATE(fill_6d, uniform, static_tag, DStore);
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BENCHMARK_TEMPLATE(fill_6d, uniform, dynamic_tag, SStore);
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BENCHMARK_TEMPLATE(fill_6d, uniform, dynamic_tag, DStore);
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BENCHMARK_TEMPLATE(fill_1d, static_tag, SStore, normal);
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BENCHMARK_TEMPLATE(fill_1d, static_tag, DStore, normal);
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BENCHMARK_TEMPLATE(fill_1d, dynamic_tag, SStore, normal);
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BENCHMARK_TEMPLATE(fill_1d, dynamic_tag, DStore, normal);
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BENCHMARK_TEMPLATE(fill_2d, static_tag, SStore, normal);
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BENCHMARK_TEMPLATE(fill_2d, static_tag, DStore, normal);
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BENCHMARK_TEMPLATE(fill_2d, dynamic_tag, SStore, normal);
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BENCHMARK_TEMPLATE(fill_2d, dynamic_tag, DStore, normal);
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BENCHMARK_TEMPLATE(fill_3d, static_tag, SStore, normal);
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BENCHMARK_TEMPLATE(fill_3d, static_tag, DStore, normal);
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BENCHMARK_TEMPLATE(fill_3d, dynamic_tag, SStore, normal);
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BENCHMARK_TEMPLATE(fill_3d, dynamic_tag, DStore, normal);
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BENCHMARK_TEMPLATE(fill_6d, static_tag, SStore, normal);
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BENCHMARK_TEMPLATE(fill_6d, static_tag, DStore, normal);
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BENCHMARK_TEMPLATE(fill_6d, dynamic_tag, SStore, normal);
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BENCHMARK_TEMPLATE(fill_6d, dynamic_tag, DStore, normal);
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BENCHMARK_TEMPLATE(fill_1d, normal, static_tag, SStore);
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BENCHMARK_TEMPLATE(fill_1d, normal, static_tag, DStore);
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BENCHMARK_TEMPLATE(fill_1d, normal, dynamic_tag, SStore);
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BENCHMARK_TEMPLATE(fill_1d, normal, dynamic_tag, DStore);
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BENCHMARK_TEMPLATE(fill_2d, normal, static_tag, SStore);
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BENCHMARK_TEMPLATE(fill_2d, normal, static_tag, DStore);
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BENCHMARK_TEMPLATE(fill_2d, normal, dynamic_tag, SStore);
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BENCHMARK_TEMPLATE(fill_2d, normal, dynamic_tag, DStore);
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BENCHMARK_TEMPLATE(fill_3d, normal, static_tag, SStore);
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BENCHMARK_TEMPLATE(fill_3d, normal, static_tag, DStore);
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BENCHMARK_TEMPLATE(fill_3d, normal, dynamic_tag, SStore);
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BENCHMARK_TEMPLATE(fill_3d, normal, dynamic_tag, DStore);
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BENCHMARK_TEMPLATE(fill_6d, normal, static_tag, SStore);
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BENCHMARK_TEMPLATE(fill_6d, normal, static_tag, DStore);
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BENCHMARK_TEMPLATE(fill_6d, normal, dynamic_tag, SStore);
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BENCHMARK_TEMPLATE(fill_6d, normal, dynamic_tag, DStore);
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424
doc/fill_boost.json
Normal file
424
doc/fill_boost.json
Normal file
@ -0,0 +1,424 @@
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{
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"context": {
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"date": "2019-06-03 22:46:01",
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"host_name": "hfm-1608b",
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"executable": "./benchmark/histogram_filling",
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"num_cpus": 4,
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"mhz_per_cpu": 2900,
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"cpu_scaling_enabled": false,
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"caches": [
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{
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"type": "Data",
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"level": 1,
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"size": 32768000,
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"num_sharing": 2
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},
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"type": "Instruction",
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"size": 32768000,
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"num_sharing": 2
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},
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{
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"type": "Unified",
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"level": 2,
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"size": 262144000,
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},
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"type": "Unified",
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"size": 3145728000,
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}
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],
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"load_avg": [1.94482,1.84375,1.88086],
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"library_build_type": "release"
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},
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"benchmarks": [
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{
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"name": "fill_1d<uniform, static_tag, SStore>",
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||||
"run_name": "fill_2d<normal, static_tag, SStore>",
|
||||
"run_type": "iteration",
|
||||
"repetitions": 0,
|
||||
"repetition_index": 0,
|
||||
"threads": 1,
|
||||
"iterations": 87550341,
|
||||
"real_time": 7.9218920918366562e+00,
|
||||
"cpu_time": 7.8999349642738466e+00,
|
||||
"time_unit": "ns"
|
||||
},
|
||||
{
|
||||
"name": "fill_2d<normal, static_tag, DStore>",
|
||||
"run_name": "fill_2d<normal, static_tag, DStore>",
|
||||
"run_type": "iteration",
|
||||
"repetitions": 0,
|
||||
"repetition_index": 0,
|
||||
"threads": 1,
|
||||
"iterations": 56773482,
|
||||
"real_time": 1.2197691291888534e+01,
|
||||
"cpu_time": 1.2188454461891178e+01,
|
||||
"time_unit": "ns"
|
||||
},
|
||||
{
|
||||
"name": "fill_2d<normal, dynamic_tag, SStore>",
|
||||
"run_name": "fill_2d<normal, dynamic_tag, SStore>",
|
||||
"run_type": "iteration",
|
||||
"repetitions": 0,
|
||||
"repetition_index": 0,
|
||||
"threads": 1,
|
||||
"iterations": 36337398,
|
||||
"real_time": 1.9224432800549096e+01,
|
||||
"cpu_time": 1.9205475306734904e+01,
|
||||
"time_unit": "ns"
|
||||
},
|
||||
{
|
||||
"name": "fill_2d<normal, dynamic_tag, DStore>",
|
||||
"run_name": "fill_2d<normal, dynamic_tag, DStore>",
|
||||
"run_type": "iteration",
|
||||
"repetitions": 0,
|
||||
"repetition_index": 0,
|
||||
"threads": 1,
|
||||
"iterations": 28607275,
|
||||
"real_time": 2.4197160687273140e+01,
|
||||
"cpu_time": 2.4125751229363750e+01,
|
||||
"time_unit": "ns"
|
||||
},
|
||||
{
|
||||
"name": "fill_3d<normal, static_tag, SStore>",
|
||||
"run_name": "fill_3d<normal, static_tag, SStore>",
|
||||
"run_type": "iteration",
|
||||
"repetitions": 0,
|
||||
"repetition_index": 0,
|
||||
"threads": 1,
|
||||
"iterations": 26180850,
|
||||
"real_time": 2.5803523338619211e+01,
|
||||
"cpu_time": 2.5746795845054681e+01,
|
||||
"time_unit": "ns"
|
||||
},
|
||||
{
|
||||
"name": "fill_3d<normal, static_tag, DStore>",
|
||||
"run_name": "fill_3d<normal, static_tag, DStore>",
|
||||
"run_type": "iteration",
|
||||
"repetitions": 0,
|
||||
"repetition_index": 0,
|
||||
"threads": 1,
|
||||
"iterations": 25426161,
|
||||
"real_time": 2.6093175489781256e+01,
|
||||
"cpu_time": 2.6065004465282801e+01,
|
||||
"time_unit": "ns"
|
||||
},
|
||||
{
|
||||
"name": "fill_3d<normal, dynamic_tag, SStore>",
|
||||
"run_name": "fill_3d<normal, dynamic_tag, SStore>",
|
||||
"run_type": "iteration",
|
||||
"repetitions": 0,
|
||||
"repetition_index": 0,
|
||||
"threads": 1,
|
||||
"iterations": 16850092,
|
||||
"real_time": 3.8582457710183185e+01,
|
||||
"cpu_time": 3.8556644082418039e+01,
|
||||
"time_unit": "ns"
|
||||
},
|
||||
{
|
||||
"name": "fill_3d<normal, dynamic_tag, DStore>",
|
||||
"run_name": "fill_3d<normal, dynamic_tag, DStore>",
|
||||
"run_type": "iteration",
|
||||
"repetitions": 0,
|
||||
"repetition_index": 0,
|
||||
"threads": 1,
|
||||
"iterations": 18269655,
|
||||
"real_time": 3.8220521679381470e+01,
|
||||
"cpu_time": 3.8191908933146372e+01,
|
||||
"time_unit": "ns"
|
||||
},
|
||||
{
|
||||
"name": "fill_6d<normal, static_tag, SStore>",
|
||||
"run_name": "fill_6d<normal, static_tag, SStore>",
|
||||
"run_type": "iteration",
|
||||
"repetitions": 0,
|
||||
"repetition_index": 0,
|
||||
"threads": 1,
|
||||
"iterations": 15453016,
|
||||
"real_time": 4.0211380160144714e+01,
|
||||
"cpu_time": 4.0163745381484254e+01,
|
||||
"time_unit": "ns"
|
||||
},
|
||||
{
|
||||
"name": "fill_6d<normal, static_tag, DStore>",
|
||||
"run_name": "fill_6d<normal, static_tag, DStore>",
|
||||
"run_type": "iteration",
|
||||
"repetitions": 0,
|
||||
"repetition_index": 0,
|
||||
"threads": 1,
|
||||
"iterations": 13724952,
|
||||
"real_time": 3.9393502942740675e+01,
|
||||
"cpu_time": 3.9370046612913633e+01,
|
||||
"time_unit": "ns"
|
||||
},
|
||||
{
|
||||
"name": "fill_6d<normal, dynamic_tag, SStore>",
|
||||
"run_name": "fill_6d<normal, dynamic_tag, SStore>",
|
||||
"run_type": "iteration",
|
||||
"repetitions": 0,
|
||||
"repetition_index": 0,
|
||||
"threads": 1,
|
||||
"iterations": 11066494,
|
||||
"real_time": 8.8299878443784166e+01,
|
||||
"cpu_time": 8.7806671200472039e+01,
|
||||
"time_unit": "ns"
|
||||
},
|
||||
{
|
||||
"name": "fill_6d<normal, dynamic_tag, DStore>",
|
||||
"run_name": "fill_6d<normal, dynamic_tag, DStore>",
|
||||
"run_type": "iteration",
|
||||
"repetitions": 0,
|
||||
"repetition_index": 0,
|
||||
"threads": 1,
|
||||
"iterations": 8274819,
|
||||
"real_time": 7.5901243036010413e+01,
|
||||
"cpu_time": 7.5830903370817197e+01,
|
||||
"time_unit": "ns"
|
||||
}
|
||||
]
|
||||
}
|
||||
88
doc/fill_gsl.json
Normal file
88
doc/fill_gsl.json
Normal file
@ -0,0 +1,88 @@
|
||||
{
|
||||
"context": {
|
||||
"date": "2019-06-03 22:33:28",
|
||||
"host_name": "hfm-1608b",
|
||||
"executable": "./benchmark/histogram_filling_gsl",
|
||||
"num_cpus": 4,
|
||||
"mhz_per_cpu": 2900,
|
||||
"cpu_scaling_enabled": false,
|
||||
"caches": [
|
||||
{
|
||||
"type": "Data",
|
||||
"level": 1,
|
||||
"size": 32768000,
|
||||
"num_sharing": 2
|
||||
},
|
||||
{
|
||||
"type": "Instruction",
|
||||
"level": 1,
|
||||
"size": 32768000,
|
||||
"num_sharing": 2
|
||||
},
|
||||
{
|
||||
"type": "Unified",
|
||||
"level": 2,
|
||||
"size": 262144000,
|
||||
"num_sharing": 2
|
||||
},
|
||||
{
|
||||
"type": "Unified",
|
||||
"level": 3,
|
||||
"size": 3145728000,
|
||||
"num_sharing": 4
|
||||
}
|
||||
],
|
||||
"load_avg": [2.18213,2.01025,1.92334],
|
||||
"library_build_type": "release"
|
||||
},
|
||||
"benchmarks": [
|
||||
{
|
||||
"name": "fill_1d<uniform>",
|
||||
"run_name": "fill_1d<uniform>",
|
||||
"run_type": "iteration",
|
||||
"repetitions": 0,
|
||||
"repetition_index": 0,
|
||||
"threads": 1,
|
||||
"iterations": 93827491,
|
||||
"real_time": 7.4210463860594267e+00,
|
||||
"cpu_time": 7.4120920488004947e+00,
|
||||
"time_unit": "ns"
|
||||
},
|
||||
{
|
||||
"name": "fill_2d<uniform>",
|
||||
"run_name": "fill_2d<uniform>",
|
||||
"run_type": "iteration",
|
||||
"repetitions": 0,
|
||||
"repetition_index": 0,
|
||||
"threads": 1,
|
||||
"iterations": 40047370,
|
||||
"real_time": 1.7006033155376219e+01,
|
||||
"cpu_time": 1.6964709542724034e+01,
|
||||
"time_unit": "ns"
|
||||
},
|
||||
{
|
||||
"name": "fill_1d<normal>",
|
||||
"run_name": "fill_1d<normal>",
|
||||
"run_type": "iteration",
|
||||
"repetitions": 0,
|
||||
"repetition_index": 0,
|
||||
"threads": 1,
|
||||
"iterations": 81505286,
|
||||
"real_time": 8.3697460800122077e+00,
|
||||
"cpu_time": 8.3077556466705715e+00,
|
||||
"time_unit": "ns"
|
||||
},
|
||||
{
|
||||
"name": "fill_2d<normal>",
|
||||
"run_name": "fill_2d<normal>",
|
||||
"run_type": "iteration",
|
||||
"repetitions": 0,
|
||||
"repetition_index": 0,
|
||||
"threads": 1,
|
||||
"iterations": 40861834,
|
||||
"real_time": 1.7504649522226590e+01,
|
||||
"cpu_time": 1.7429369420863488e+01,
|
||||
"time_unit": "ns"
|
||||
}
|
||||
]
|
||||
}
|
||||
@ -1,53 +0,0 @@
|
||||
1D-root-uniform 10.5
|
||||
2D-root-uniform 8.2
|
||||
3D-root-uniform 18.7
|
||||
6D-root-uniform 20.4
|
||||
1D-root-normal 11.5
|
||||
2D-root-normal 8.9
|
||||
3D-root-normal 17.4
|
||||
6D-root-normal 21.4
|
||||
1D-root-uniform 10.5
|
||||
2D-root-uniform 8.0
|
||||
3D-root-uniform 16.7
|
||||
6D-root-uniform 18.1
|
||||
1D-root-normal 11.4
|
||||
2D-root-normal 8.8
|
||||
3D-root-normal 17.3
|
||||
6D-root-normal 20.5
|
||||
1D-gsl-uniform 6.3
|
||||
2D-gsl-uniform 6.8
|
||||
1D-gsl-normal 6.8
|
||||
2D-gsl-normal 7.1
|
||||
baseline 0.8
|
||||
1D-boost:SS-uniform 4.7
|
||||
1D-boost:SD-uniform 10.6
|
||||
1D-boost:DS-uniform 5.1
|
||||
1D-boost:DD-uniform 11.5
|
||||
2D-boost:SS-uniform 6.1
|
||||
2D-boost:SD-uniform 8.2
|
||||
2D-boost:DS-uniform 7.3
|
||||
2D-boost:DD-uniform 9.2
|
||||
3D-boost:SS-uniform 11.8
|
||||
3D-boost:SD-uniform 8.1
|
||||
3D-boost:DS-uniform 14.0
|
||||
3D-boost:DD-uniform 9.2
|
||||
6D-boost:SS-uniform 12.1
|
||||
6D-boost:SD-uniform 7.7
|
||||
6D-boost:DS-uniform 16.6
|
||||
6D-boost:DD-uniform 11.4
|
||||
1D-boost:SS-normal 5.7
|
||||
1D-boost:SD-normal 11.6
|
||||
1D-boost:DS-normal 6.3
|
||||
1D-boost:DD-normal 12.6
|
||||
2D-boost:SS-normal 6.8
|
||||
2D-boost:SD-normal 9.1
|
||||
2D-boost:DS-normal 8.4
|
||||
2D-boost:DD-normal 10.7
|
||||
3D-boost:SS-normal 11.6
|
||||
3D-boost:SD-normal 8.7
|
||||
3D-boost:DS-normal 14.7
|
||||
3D-boost:DD-normal 10.0
|
||||
6D-boost:SS-normal 13.8
|
||||
6D-boost:SD-normal 9.9
|
||||
6D-boost:DS-normal 18.2
|
||||
6D-boost:DD-normal 13.9
|
||||
@ -2,6 +2,7 @@ import os
|
||||
import numpy as np
|
||||
import sys
|
||||
import re
|
||||
import json
|
||||
from collections import defaultdict, OrderedDict
|
||||
from matplotlib.patches import Rectangle
|
||||
from matplotlib.lines import Line2D
|
||||
@ -12,12 +13,18 @@ import matplotlib as mpl
|
||||
mpl.rcParams.update(mpl.rcParamsDefault)
|
||||
|
||||
data = defaultdict(lambda:[])
|
||||
for line in open(sys.argv[1]):
|
||||
if line.startswith("baseline"):
|
||||
continue
|
||||
descr, time = [x for x in line.split() if x]
|
||||
dim, label, dist = descr.split("-")
|
||||
data[int(dim[0])].append((label, dist, float(time)))
|
||||
for fn in sys.argv[1:]:
|
||||
for bench in json.load(open(fn))["benchmarks"]:
|
||||
name = bench["name"]
|
||||
time = min(bench["cpu_time"], bench["real_time"])
|
||||
m = re.match("fill_([0-9])d<([^>]+)>", name)
|
||||
tags = m.group(2).split(", ")
|
||||
dim = int(m.group(1))
|
||||
label = re.search("fill_([a-z]+).json", fn).group(1)
|
||||
dist = tags[0]
|
||||
if label == "boost":
|
||||
label += "-" + {"dynamic_tag":"D", "static_tag":"S"}[tags[1]] + tags[2][0]
|
||||
data[dim].append((label, dist, time / dim))
|
||||
|
||||
plt.figure()
|
||||
if os.path.exists("/proc/cpuinfo"):
|
||||
@ -48,8 +55,10 @@ for dim in sorted(data):
|
||||
col = "0.6"
|
||||
if "gsl" in label:
|
||||
col = "0.3"
|
||||
r1 = Rectangle((0, i), t1, 0.5, facecolor=col)
|
||||
r2 = Rectangle((0, i+0.5), t2, 0.5, facecolor=col)
|
||||
tmin = min(t1, t2)
|
||||
tmax = max(t1, t2)
|
||||
r1 = Rectangle((0, i), tmin, 1, facecolor=col)
|
||||
r2 = Rectangle((tmin, i+0.5), tmax-tmin, 0.5, facecolor=col)
|
||||
plt.gca().add_artist(r1)
|
||||
plt.gca().add_artist(r2)
|
||||
tx = Text(-0.1, i+0.5, "%s" % label,
|
||||
@ -63,10 +72,10 @@ for dim in sorted(data):
|
||||
fontproperties=font0, va="center", ha="right", clip_on=False)
|
||||
plt.gca().add_artist(tx)
|
||||
plt.ylim(0, i)
|
||||
plt.xlim(0, 30)
|
||||
plt.xlim(0, 20)
|
||||
|
||||
plt.tick_params("y", left=False, labelleft=False)
|
||||
plt.xlabel("fill time per random number in nanoseconds (smaller is better)")
|
||||
plt.xlabel("fill time per random input value in nanoseconds (smaller is better)")
|
||||
|
||||
plt.savefig("fill_performance.svg")
|
||||
plt.show()
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
|
Before Width: | Height: | Size: 59 KiB After Width: | Height: | Size: 50 KiB |
136
doc/fill_root.json
Normal file
136
doc/fill_root.json
Normal file
@ -0,0 +1,136 @@
|
||||
{
|
||||
"context": {
|
||||
"date": "2019-06-03 22:33:49",
|
||||
"host_name": "hfm-1608b",
|
||||
"executable": "./benchmark/histogram_filling_root",
|
||||
"num_cpus": 4,
|
||||
"mhz_per_cpu": 2900,
|
||||
"cpu_scaling_enabled": false,
|
||||
"caches": [
|
||||
{
|
||||
"type": "Data",
|
||||
"level": 1,
|
||||
"size": 32768000,
|
||||
"num_sharing": 2
|
||||
},
|
||||
{
|
||||
"type": "Instruction",
|
||||
"level": 1,
|
||||
"size": 32768000,
|
||||
"num_sharing": 2
|
||||
},
|
||||
{
|
||||
"type": "Unified",
|
||||
"level": 2,
|
||||
"size": 262144000,
|
||||
"num_sharing": 2
|
||||
},
|
||||
{
|
||||
"type": "Unified",
|
||||
"level": 3,
|
||||
"size": 3145728000,
|
||||
"num_sharing": 4
|
||||
}
|
||||
],
|
||||
"load_avg": [2.11182,2.0083,1.92334],
|
||||
"library_build_type": "release"
|
||||
},
|
||||
"benchmarks": [
|
||||
{
|
||||
"name": "fill_1d<uniform>",
|
||||
"run_name": "fill_1d<uniform>",
|
||||
"run_type": "iteration",
|
||||
"repetitions": 0,
|
||||
"repetition_index": 0,
|
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"threads": 1,
|
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"iterations": 55636361,
|
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"real_time": 9.5863430571955472e+00,
|
||||
"cpu_time": 9.5218305165573280e+00,
|
||||
"time_unit": "ns"
|
||||
},
|
||||
{
|
||||
"name": "fill_2d<uniform>",
|
||||
"run_name": "fill_2d<uniform>",
|
||||
"run_type": "iteration",
|
||||
"repetitions": 0,
|
||||
"repetition_index": 0,
|
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"threads": 1,
|
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"iterations": 43799000,
|
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"real_time": 1.5803449599415702e+01,
|
||||
"cpu_time": 1.5788305669079202e+01,
|
||||
"time_unit": "ns"
|
||||
},
|
||||
{
|
||||
"name": "fill_3d<uniform>",
|
||||
"run_name": "fill_3d<uniform>",
|
||||
"run_type": "iteration",
|
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"repetitions": 0,
|
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"repetition_index": 0,
|
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"threads": 1,
|
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"iterations": 16820939,
|
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"real_time": 3.5477811732387629e+01,
|
||||
"cpu_time": 3.5454263284588336e+01,
|
||||
"time_unit": "ns"
|
||||
},
|
||||
{
|
||||
"name": "fill_6d<uniform>",
|
||||
"run_name": "fill_6d<uniform>",
|
||||
"run_type": "iteration",
|
||||
"repetitions": 0,
|
||||
"repetition_index": 0,
|
||||
"threads": 1,
|
||||
"iterations": 9258035,
|
||||
"real_time": 6.5875588502446192e+01,
|
||||
"cpu_time": 6.5811049536969804e+01,
|
||||
"time_unit": "ns"
|
||||
},
|
||||
{
|
||||
"name": "fill_1d<normal>",
|
||||
"run_name": "fill_1d<normal>",
|
||||
"run_type": "iteration",
|
||||
"repetitions": 0,
|
||||
"repetition_index": 0,
|
||||
"threads": 1,
|
||||
"iterations": 53033115,
|
||||
"real_time": 1.1722145663142236e+01,
|
||||
"cpu_time": 1.1640557036862727e+01,
|
||||
"time_unit": "ns"
|
||||
},
|
||||
{
|
||||
"name": "fill_2d<normal>",
|
||||
"run_name": "fill_2d<normal>",
|
||||
"run_type": "iteration",
|
||||
"repetitions": 0,
|
||||
"repetition_index": 0,
|
||||
"threads": 1,
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||||
"iterations": 41097660,
|
||||
"real_time": 1.7116834291723340e+01,
|
||||
"cpu_time": 1.7074402776216466e+01,
|
||||
"time_unit": "ns"
|
||||
},
|
||||
{
|
||||
"name": "fill_3d<normal>",
|
||||
"run_name": "fill_3d<normal>",
|
||||
"run_type": "iteration",
|
||||
"repetitions": 0,
|
||||
"repetition_index": 0,
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||||
"threads": 1,
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||||
"iterations": 21762650,
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||||
"real_time": 3.1504170172533939e+01,
|
||||
"cpu_time": 3.1479530296172520e+01,
|
||||
"time_unit": "ns"
|
||||
},
|
||||
{
|
||||
"name": "fill_6d<normal>",
|
||||
"run_name": "fill_6d<normal>",
|
||||
"run_type": "iteration",
|
||||
"repetitions": 0,
|
||||
"repetition_index": 0,
|
||||
"threads": 1,
|
||||
"iterations": 8018511,
|
||||
"real_time": 7.8335543968218118e+01,
|
||||
"cpu_time": 7.8266775464921039e+01,
|
||||
"time_unit": "ns"
|
||||
}
|
||||
]
|
||||
}
|
||||
Loading…
x
Reference in New Issue
Block a user