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genkuroki/Octavian M=K=N=1024.ipynb

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Octavian!
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Octavian M=K=N=128.ipynb
{
"cells": [
{
"metadata": {},
"cell_type": "markdown",
"source": "https://discourse.julialang.org/t/intel-c-c-compiler-performance-versus-julia/61929/18"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "versioninfo()",
"execution_count": 1,
"outputs": [
{
"output_type": "stream",
"text": "Julia Version 1.7.0-DEV.1129\nCommit 9117b4d6d6 (2021-05-20 16:42 UTC)\nPlatform Info:\n OS: Windows (x86_64-w64-mingw32)\n CPU: Intel(R) Core(TM) i7-10750H CPU @ 2.60GHz\n WORD_SIZE: 64\n LIBM: libopenlibm\n LLVM: libLLVM-11.0.1 (ORCJIT, skylake)\nEnvironment:\n JULIA_NUM_THREADS = 12\n JULIA_PYTHONCALL_EXE = C:\\Users\\genkuroki\\.julia\\conda\\3\\python.exe\n",
"name": "stdout"
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "using LinearAlgebra\nusing BLASBenchmarksCPU\nusing Octavian\nusing BenchmarkHistograms",
"execution_count": 2,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "M = K = N = 128\nA = rand(M, K)\nB = rand(K, N)\nC1 = @time(A * B)\nC0 = similar(C1);",
"execution_count": 3,
"outputs": [
{
"output_type": "stream",
"text": " 0.597493 seconds (2.53 M allocations: 134.252 MiB, 7.83% gc time, 99.48% compilation time)\n",
"name": "stdout"
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "@benchmark mul!($C0, $A, $B)",
"execution_count": 4,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 4,
"data": {
"text/plain": "samples: 10000; evals/sample: 1; memory estimate: 0 bytes; allocs estimate: 0\nns\n\n (48100.0 - 55200.0 ] \u001b[32m▏\u001b[39m24\n (55200.0 - 62200.0 ] \u001b[32m█\u001b[39m276\n (62200.0 - 69300.0 ] \u001b[32m██████████████████████████████ \u001b[39m8954\n (69300.0 - 76400.0 ] \u001b[32m█▍\u001b[39m404\n (76400.0 - 83500.0 ] \u001b[32m▋\u001b[39m154\n (83500.0 - 90500.0 ] \u001b[32m▎\u001b[39m44\n (90500.0 - 97600.0 ] \u001b[32m▎\u001b[39m49\n (97600.0 - 104700.0] \u001b[32m▏\u001b[39m23\n (104700.0 - 111700.0] \u001b[32m▏\u001b[39m15\n (111700.0 - 118800.0] \u001b[32m▏\u001b[39m18\n (118800.0 - 125900.0] \u001b[32m▏\u001b[39m8\n (125900.0 - 133000.0] \u001b[32m▏\u001b[39m13\n (133000.0 - 140000.0] \u001b[32m▏\u001b[39m4\n (140000.0 - 147100.0] \u001b[32m▏\u001b[39m4\n (147100.0 - 1.2566e6] \u001b[32m▏\u001b[39m10\n\n Counts\n\nmin: 48.100 μs (0.00% GC); mean: 66.320 μs (0.00% GC); median: 64.700 μs (0.00% GC); max: 1.257 ms (0.00% GC)."
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "# MKL dgemm\n@benchmark gemmmkl!($C0, $A, $B)",
"execution_count": 5,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 5,
"data": {
"text/plain": "samples: 10000; evals/sample: 1; memory estimate: 0 bytes; allocs estimate: 0\nns\n\n (15200.0 - 18800.0 ] \u001b[32m█▎\u001b[39m155\n (18800.0 - 22500.0 ] \u001b[32m████▍\u001b[39m591\n (22500.0 - 26100.0 ] \u001b[32m██████████████████████▋\u001b[39m3063\n (26100.0 - 29700.0 ] \u001b[32m██████████████████████████████ \u001b[39m4066\n (29700.0 - 33400.0 ] \u001b[32m████████████▌\u001b[39m1692\n (33400.0 - 37000.0 ] \u001b[32m▍\u001b[39m49\n (37000.0 - 40700.0 ] \u001b[32m▍\u001b[39m45\n (40700.0 - 44300.0 ] \u001b[32m▉\u001b[39m118\n (44300.0 - 47900.0 ] \u001b[32m▊\u001b[39m99\n (47900.0 - 51600.0 ] \u001b[32m▋\u001b[39m76\n (51600.0 - 55200.0 ] \u001b[32m▏\u001b[39m13\n (55200.0 - 58800.0 ] \u001b[32m▏\u001b[39m5\n (58800.0 - 62500.0 ] \u001b[32m▏\u001b[39m4\n (62500.0 - 66100.0 ] \u001b[32m▏\u001b[39m14\n (66100.0 - 137500.0] \u001b[32m▏\u001b[39m10\n\n Counts\n\nmin: 15.200 μs (0.00% GC); mean: 27.755 μs (0.00% GC); median: 27.700 μs (0.00% GC); max: 137.500 μs (0.00% GC)."
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "# MKL dgemm_direct\n@benchmark gemmmkl_direct!($C0, $A, $B)",
"execution_count": 6,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 6,
"data": {
"text/plain": "samples: 10000; evals/sample: 1; memory estimate: 0 bytes; allocs estimate: 0\nns\n\n (23500.0 - 26500.0 ] \u001b[32m█████████████████████▏\u001b[39m2994\n (26500.0 - 29500.0 ] \u001b[32m██████████████████████████████ \u001b[39m4277\n (29500.0 - 32600.0 ] \u001b[32m██████████████▎\u001b[39m2028\n (32600.0 - 35600.0 ] \u001b[32m███▎\u001b[39m449\n (35600.0 - 38600.0 ] \u001b[32m▌\u001b[39m60\n (38600.0 - 41600.0 ] \u001b[32m▎\u001b[39m20\n (41600.0 - 44700.0 ] \u001b[32m▌\u001b[39m63\n (44700.0 - 47700.0 ] \u001b[32m▍\u001b[39m39\n (47700.0 - 50700.0 ] \u001b[32m▎\u001b[39m31\n (50700.0 - 53700.0 ] \u001b[32m▏\u001b[39m9\n (53700.0 - 56700.0 ] \u001b[32m▏\u001b[39m4\n (56700.0 - 59800.0 ] \u001b[32m▏\u001b[39m8\n (59800.0 - 62800.0 ] \u001b[32m▏\u001b[39m5\n (62800.0 - 65800.0 ] \u001b[32m▏\u001b[39m3\n (65800.0 - 104900.0] \u001b[32m▏\u001b[39m10\n\n Counts\n\nmin: 23.500 μs (0.00% GC); mean: 28.604 μs (0.00% GC); median: 28.200 μs (0.00% GC); max: 104.900 μs (0.00% GC)."
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "# Octavian.jl\n@benchmark matmul!($C0, $A, $B)",
"execution_count": 7,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 7,
"data": {
"text/plain": "samples: 10000; evals/sample: 1; memory estimate: 0 bytes; allocs estimate: 0\nns\n\n (16600.0 - 20500.0 ] \u001b[32m▍\u001b[39m88\n (20500.0 - 24400.0 ] \u001b[32m██████▋\u001b[39m1531\n (24400.0 - 28300.0 ] \u001b[32m██████████████████████████████▏\u001b[39m7049\n (28300.0 - 32200.0 ] \u001b[32m███▏\u001b[39m710\n (32200.0 - 36100.0 ] \u001b[32m█▎\u001b[39m265\n (36100.0 - 40000.0 ] \u001b[32m▍\u001b[39m80\n (40000.0 - 43900.0 ] \u001b[32m▍\u001b[39m88\n (43900.0 - 47700.0 ] \u001b[32m▋\u001b[39m118\n (47700.0 - 51600.0 ] \u001b[32m▏\u001b[39m22\n (51600.0 - 55500.0 ] \u001b[32m▏\u001b[39m3\n (55500.0 - 59400.0 ] \u001b[32m▏\u001b[39m7\n (59400.0 - 63300.0 ] \u001b[32m▏\u001b[39m17\n (63300.0 - 67200.0 ] \u001b[32m▏\u001b[39m7\n (67200.0 - 71100.0 ] \u001b[32m▏\u001b[39m5\n (71100.0 - 150600.0] \u001b[32m▏\u001b[39m10\n\n Counts\n\nmin: 16.600 μs (0.00% GC); mean: 26.611 μs (0.00% GC); median: 25.600 μs (0.00% GC); max: 150.600 μs (0.00% GC)."
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "",
"execution_count": null,
"outputs": []
}
],
"metadata": {
"@webio": {
"lastKernelId": null,
"lastCommId": null
},
"kernelspec": {
"name": "julia-1.7-depwarn-o3",
"display_name": "Julia 1.7.0-DEV depwarn -O3",
"language": "julia"
},
"language_info": {
"file_extension": ".jl",
"name": "julia",
"mimetype": "application/julia",
"version": "1.7.0"
},
"toc": {
"nav_menu": {},
"number_sections": true,
"sideBar": true,
"skip_h1_title": false,
"base_numbering": 1,
"title_cell": "Table of Contents",
"title_sidebar": "Contents",
"toc_cell": false,
"toc_position": {},
"toc_section_display": true,
"toc_window_display": false
},
"gist": {
"id": "6123aef79488bc20b52047656fc6f015",
"data": {
"description": "Octavian",
"public": true
}
},
"_draft": {
"nbviewer_url": "https://gist.github.com/6123aef79488bc20b52047656fc6f015"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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