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jjerphan/open_mp_joblib_threading_comparison.ipynb

Created February 16, 2023 10:07
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OpenMP vs joblib Threading backend
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open_mp_joblib_threading_comparison.ipynb
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"cells": [
{
"cell_type": "markdown",
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"source": [
"## OpenMP vs joblib Threading backend"
]
},
{
"cell_type": "markdown",
"id": "8385fa67",
"metadata": {},
"source": [
"Let's compare OpenMP via Cython and joblib threading backend via a compute bound task (which uses GEMM) and a no-ops' tasks."
]
},
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"source": [
"%load_ext Cython"
]
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"execution_count": 2,
"id": "cf722482",
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" } else {\n",
" __pyx_t_2 = __pyx_e_7sklearn_5utils_12_cython_blas_RowMajor;\n",
" }\n",
" __pyx_v_order = __pyx_t_2;\n",
"</pre><pre class=\"cython line score-0\">&#xA0;<span class=\"\">28</span>: </pre>\n",
"<pre class=\"cython line score-0\" onclick=\"(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)\">+<span class=\"\">29</span>: <span class=\"k\">if</span> <span class=\"n\">order</span> <span class=\"o\">==</span> <span class=\"n\">RowMajor</span><span class=\"p\">:</span></pre>\n",
"<pre class='cython code score-0 '> __pyx_t_6 = ((__pyx_v_order == __pyx_e_7sklearn_5utils_12_cython_blas_RowMajor) != 0);\n",
" if (__pyx_t_6) {\n",
"/* … */\n",
" goto __pyx_L3;\n",
" }\n",
"/* … */\n",
" __pyx_t_6 = ((__pyx_v_order == __pyx_e_7sklearn_5utils_12_cython_blas_RowMajor) != 0);\n",
" if (__pyx_t_6) {\n",
"/* … */\n",
" goto __pyx_L3;\n",
" }\n",
"</pre><pre class=\"cython line score-0\" onclick=\"(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)\">+<span class=\"\">30</span>: <span class=\"n\">lda</span> <span class=\"o\">=</span> <span class=\"n\">k</span> <span class=\"k\">if</span> <span class=\"n\">ta</span> <span class=\"o\">==</span> <span class=\"n\">NoTrans</span> <span class=\"k\">else</span> <span class=\"n\">m</span></pre>\n",
"<pre class='cython code score-0 '> if (((__pyx_v_ta == __pyx_e_7sklearn_5utils_12_cython_blas_NoTrans) != 0)) {\n",
" __pyx_t_7 = __pyx_v_k;\n",
" } else {\n",
" __pyx_t_7 = __pyx_v_m;\n",
" }\n",
" __pyx_v_lda = __pyx_t_7;\n",
"/* … */\n",
" if (((__pyx_v_ta == __pyx_e_7sklearn_5utils_12_cython_blas_NoTrans) != 0)) {\n",
" __pyx_t_7 = __pyx_v_k;\n",
" } else {\n",
" __pyx_t_7 = __pyx_v_m;\n",
" }\n",
" __pyx_v_lda = __pyx_t_7;\n",
"</pre><pre class=\"cython line score-0\" onclick=\"(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)\">+<span class=\"\">31</span>: <span class=\"n\">ldb</span> <span class=\"o\">=</span> <span class=\"n\">n</span> <span class=\"k\">if</span> <span class=\"n\">tb</span> <span class=\"o\">==</span> <span class=\"n\">NoTrans</span> <span class=\"k\">else</span> <span class=\"n\">k</span></pre>\n",
"<pre class='cython code score-0 '> if (((__pyx_v_tb == __pyx_e_7sklearn_5utils_12_cython_blas_NoTrans) != 0)) {\n",
" __pyx_t_7 = __pyx_v_n;\n",
" } else {\n",
" __pyx_t_7 = __pyx_v_k;\n",
" }\n",
" __pyx_v_ldb = __pyx_t_7;\n",
"/* … */\n",
" if (((__pyx_v_tb == __pyx_e_7sklearn_5utils_12_cython_blas_NoTrans) != 0)) {\n",
" __pyx_t_7 = __pyx_v_n;\n",
" } else {\n",
" __pyx_t_7 = __pyx_v_k;\n",
" }\n",
" __pyx_v_ldb = __pyx_t_7;\n",
"</pre><pre class=\"cython line score-0\" onclick=\"(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)\">+<span class=\"\">32</span>: <span class=\"n\">ldc</span> <span class=\"o\">=</span> <span class=\"n\">n</span></pre>\n",
"<pre class='cython code score-0 '> __pyx_v_ldc = __pyx_v_n;\n",
"/* … */\n",
" __pyx_v_ldc = __pyx_v_n;\n",
"</pre><pre class=\"cython line score-0\">&#xA0;<span class=\"\">33</span>: <span class=\"k\">else</span><span class=\"p\">:</span></pre>\n",
"<pre class=\"cython line score-0\" onclick=\"(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)\">+<span class=\"\">34</span>: <span class=\"n\">lda</span> <span class=\"o\">=</span> <span class=\"n\">m</span> <span class=\"k\">if</span> <span class=\"n\">ta</span> <span class=\"o\">==</span> <span class=\"n\">NoTrans</span> <span class=\"k\">else</span> <span class=\"n\">k</span></pre>\n",
"<pre class='cython code score-0 '> /*else*/ {\n",
" if (((__pyx_v_ta == __pyx_e_7sklearn_5utils_12_cython_blas_NoTrans) != 0)) {\n",
" __pyx_t_7 = __pyx_v_m;\n",
" } else {\n",
" __pyx_t_7 = __pyx_v_k;\n",
" }\n",
" __pyx_v_lda = __pyx_t_7;\n",
"/* … */\n",
" /*else*/ {\n",
" if (((__pyx_v_ta == __pyx_e_7sklearn_5utils_12_cython_blas_NoTrans) != 0)) {\n",
" __pyx_t_7 = __pyx_v_m;\n",
" } else {\n",
" __pyx_t_7 = __pyx_v_k;\n",
" }\n",
" __pyx_v_lda = __pyx_t_7;\n",
"</pre><pre class=\"cython line score-0\" onclick=\"(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)\">+<span class=\"\">35</span>: <span class=\"n\">ldb</span> <span class=\"o\">=</span> <span class=\"n\">k</span> <span class=\"k\">if</span> <span class=\"n\">tb</span> <span class=\"o\">==</span> <span class=\"n\">NoTrans</span> <span class=\"k\">else</span> <span class=\"n\">n</span></pre>\n",
"<pre class='cython code score-0 '> if (((__pyx_v_tb == __pyx_e_7sklearn_5utils_12_cython_blas_NoTrans) != 0)) {\n",
" __pyx_t_7 = __pyx_v_k;\n",
" } else {\n",
" __pyx_t_7 = __pyx_v_n;\n",
" }\n",
" __pyx_v_ldb = __pyx_t_7;\n",
"/* … */\n",
" if (((__pyx_v_tb == __pyx_e_7sklearn_5utils_12_cython_blas_NoTrans) != 0)) {\n",
" __pyx_t_7 = __pyx_v_k;\n",
" } else {\n",
" __pyx_t_7 = __pyx_v_n;\n",
" }\n",
" __pyx_v_ldb = __pyx_t_7;\n",
"</pre><pre class=\"cython line score-0\" onclick=\"(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)\">+<span class=\"\">36</span>: <span class=\"n\">ldc</span> <span class=\"o\">=</span> <span class=\"n\">m</span></pre>\n",
"<pre class='cython code score-0 '> __pyx_v_ldc = __pyx_v_m;\n",
" }\n",
" __pyx_L3:;\n",
"/* … */\n",
" __pyx_v_ldc = __pyx_v_m;\n",
" }\n",
" __pyx_L3:;\n",
"</pre><pre class=\"cython line score-0\">&#xA0;<span class=\"\">37</span>: </pre>\n",
"<pre class=\"cython line score-8\" onclick=\"(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)\">+<span class=\"\">38</span>: <span class=\"k\">with</span> <span class=\"k\">nogil</span><span class=\"p\">:</span></pre>\n",
"<pre class='cython code score-8 '> {\n",
" #ifdef WITH_THREAD\n",
" PyThreadState *_save;\n",
" Py_UNBLOCK_THREADS\n",
" <span class='pyx_c_api'>__Pyx_FastGIL_Remember</span>();\n",
" #endif\n",
" /*try:*/ {\n",
"/* … */\n",
" /*finally:*/ {\n",
" /*normal exit:*/{\n",
" #ifdef WITH_THREAD\n",
" <span class='pyx_c_api'>__Pyx_FastGIL_Forget</span>();\n",
" Py_BLOCK_THREADS\n",
" #endif\n",
" goto __pyx_L6;\n",
" }\n",
" __pyx_L6:;\n",
" }\n",
" }\n",
"/* … */\n",
" {\n",
" #ifdef WITH_THREAD\n",
" PyThreadState *_save;\n",
" Py_UNBLOCK_THREADS\n",
" <span class='pyx_c_api'>__Pyx_FastGIL_Remember</span>();\n",
" #endif\n",
" /*try:*/ {\n",
"/* … */\n",
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"</pre><pre class=\"cython line score-0\" onclick=\"(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)\">+<span class=\"\">39</span>: <span class=\"n\">cy_gemm</span><span class=\"p\">(</span><span class=\"n\">order</span><span class=\"p\">,</span> <span class=\"n\">ta</span><span class=\"p\">,</span> <span class=\"n\">tb</span><span class=\"p\">,</span> <span class=\"n\">m</span><span class=\"p\">,</span> <span class=\"n\">n</span><span class=\"p\">,</span> <span class=\"n\">k</span><span class=\"p\">,</span> <span class=\"n\">alpha</span><span class=\"p\">,</span> <span class=\"o\">&amp;</span><span class=\"n\">A</span><span class=\"p\">[</span><span class=\"mf\">0</span><span class=\"p\">,</span> <span class=\"mf\">0</span><span class=\"p\">],</span></pre>\n",
"<pre class='cython code score-0 '> __pyx_t_8 = 0;\n",
" __pyx_t_9 = 0;\n",
" if (__pyx_t_8 &lt; 0) __pyx_t_8 += __pyx_v_A.shape[0];\n",
" if (__pyx_t_9 &lt; 0) __pyx_t_9 += __pyx_v_A.shape[1];\n",
"/* … */\n",
" __pyx_fuse_0__pyx_f_7sklearn_5utils_12_cython_blas__gemm(__pyx_v_order, __pyx_v_ta, __pyx_v_tb, __pyx_v_m, __pyx_v_n, __pyx_v_k, __pyx_v_alpha, (&amp;(*((float const *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_8 * __pyx_v_A.strides[0]) ) + __pyx_t_9 * __pyx_v_A.strides[1]) )))), __pyx_v_lda, (&amp;(*((float const *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_B.data + __pyx_t_10 * __pyx_v_B.strides[0]) ) + __pyx_t_11 * __pyx_v_B.strides[1]) )))), __pyx_v_ldb, __pyx_v_beta, (&amp;(*((float *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_C.data + __pyx_t_12 * __pyx_v_C.strides[0]) ) + __pyx_t_13 * __pyx_v_C.strides[1]) )))), __pyx_v_ldc);\n",
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"/* … */\n",
" __pyx_t_8 = 0;\n",
" __pyx_t_9 = 0;\n",
" if (__pyx_t_8 &lt; 0) __pyx_t_8 += __pyx_v_A.shape[0];\n",
" if (__pyx_t_9 &lt; 0) __pyx_t_9 += __pyx_v_A.shape[1];\n",
"/* … */\n",
" __pyx_fuse_1__pyx_f_7sklearn_5utils_12_cython_blas__gemm(__pyx_v_order, __pyx_v_ta, __pyx_v_tb, __pyx_v_m, __pyx_v_n, __pyx_v_k, __pyx_v_alpha, (&amp;(*((double const *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_A.data + __pyx_t_8 * __pyx_v_A.strides[0]) ) + __pyx_t_9 * __pyx_v_A.strides[1]) )))), __pyx_v_lda, (&amp;(*((double const *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_B.data + __pyx_t_10 * __pyx_v_B.strides[0]) ) + __pyx_t_11 * __pyx_v_B.strides[1]) )))), __pyx_v_ldb, __pyx_v_beta, (&amp;(*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_C.data + __pyx_t_12 * __pyx_v_C.strides[0]) ) + __pyx_t_13 * __pyx_v_C.strides[1]) )))), __pyx_v_ldc);\n",
" }\n",
"</pre><pre class=\"cython line score-0\" onclick=\"(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)\">+<span class=\"\">40</span>: <span class=\"n\">lda</span><span class=\"p\">,</span> <span class=\"o\">&amp;</span><span class=\"n\">B</span><span class=\"p\">[</span><span class=\"mf\">0</span><span class=\"p\">,</span> <span class=\"mf\">0</span><span class=\"p\">],</span> <span class=\"n\">ldb</span><span class=\"p\">,</span> <span class=\"n\">beta</span><span class=\"p\">,</span> <span class=\"o\">&amp;</span><span class=\"n\">C</span><span class=\"p\">[</span><span class=\"mf\">0</span><span class=\"p\">,</span> <span class=\"mf\">0</span><span class=\"p\">],</span> <span class=\"n\">ldc</span><span class=\"p\">)</span></pre>\n",
"<pre class='cython code score-0 '> __pyx_t_10 = 0;\n",
" __pyx_t_11 = 0;\n",
" if (__pyx_t_10 &lt; 0) __pyx_t_10 += __pyx_v_B.shape[0];\n",
" if (__pyx_t_11 &lt; 0) __pyx_t_11 += __pyx_v_B.shape[1];\n",
" __pyx_t_12 = 0;\n",
" __pyx_t_13 = 0;\n",
" if (__pyx_t_12 &lt; 0) __pyx_t_12 += __pyx_v_C.shape[0];\n",
" if (__pyx_t_13 &lt; 0) __pyx_t_13 += __pyx_v_C.shape[1];\n",
"/* … */\n",
" __pyx_t_10 = 0;\n",
" __pyx_t_11 = 0;\n",
" if (__pyx_t_10 &lt; 0) __pyx_t_10 += __pyx_v_B.shape[0];\n",
" if (__pyx_t_11 &lt; 0) __pyx_t_11 += __pyx_v_B.shape[1];\n",
" __pyx_t_12 = 0;\n",
" __pyx_t_13 = 0;\n",
" if (__pyx_t_12 &lt; 0) __pyx_t_12 += __pyx_v_C.shape[0];\n",
" if (__pyx_t_13 &lt; 0) __pyx_t_13 += __pyx_v_C.shape[1];\n",
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"<pre class=\"cython line score-105\" onclick=\"(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)\">+<span class=\"\">42</span>: <span class=\"k\">def</span> <span class=\"nf\">py_gemm</span><span class=\"p\">(</span></pre>\n",
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"static PyObject *__pyx_pw_46_cython_magic_7982e031ff248a54e9e902152fa3b2da_3py_gemm(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/\n",
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"static PyObject *__pyx_pw_46_cython_magic_7982e031ff248a54e9e902152fa3b2da_3py_gemm(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {\n",
" CYTHON_UNUSED int __pyx_v_n_calls;\n",
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" enum __pyx_t_7sklearn_5utils_12_cython_blas_BLAS_Trans __pyx_v_tb;\n",
" __pyx_t_5numpy_float64_t __pyx_v_alpha;\n",
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" __pyx_t_5numpy_float64_t __pyx_v_beta;\n",
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" CYTHON_FALLTHROUGH;\n",
" case 0: break;\n",
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"<pre class='cython code score-0 '> if (((__pyx_v_ta == __pyx_e_7sklearn_5utils_12_cython_blas_NoTrans) != 0)) {\n",
" __pyx_t_7 = __pyx_v_k;\n",
" } else {\n",
" __pyx_t_7 = __pyx_v_m;\n",
" }\n",
" __pyx_v_lda = __pyx_t_7;\n",
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"<pre class='cython code score-0 '> if (((__pyx_v_tb == __pyx_e_7sklearn_5utils_12_cython_blas_NoTrans) != 0)) {\n",
" __pyx_t_7 = __pyx_v_n;\n",
" } else {\n",
" __pyx_t_7 = __pyx_v_k;\n",
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" __pyx_v_ldb = __pyx_t_7;\n",
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"<pre class='cython code score-0 '> /*else*/ {\n",
" if (((__pyx_v_ta == __pyx_e_7sklearn_5utils_12_cython_blas_NoTrans) != 0)) {\n",
" __pyx_t_7 = __pyx_v_m;\n",
" } else {\n",
" __pyx_t_7 = __pyx_v_k;\n",
" }\n",
" __pyx_v_lda = __pyx_t_7;\n",
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"<pre class='cython code score-0 '> if (((__pyx_v_tb == __pyx_e_7sklearn_5utils_12_cython_blas_NoTrans) != 0)) {\n",
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"<pre class='cython code score-4 '> {\n",
" #ifdef WITH_THREAD\n",
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"<pre class=\"cython line score-0\">&#xA0;<span class=\"\">79</span>: <span class=\"k\">cdef</span><span class=\"p\">:</span></pre>\n",
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"<pre class='cython code score-0 '> __pyx_v_d = 0;\n",
"</pre><pre class=\"cython line score-0\">&#xA0;<span class=\"\">82</span>: </pre>\n",
"<pre class=\"cython line score-4\" onclick=\"(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)\">+<span class=\"\">83</span>: <span class=\"k\">with</span> <span class=\"k\">nogil</span><span class=\"p\">,</span> <span class=\"n\">parallel</span><span class=\"p\">(</span><span class=\"n\">num_threads</span><span class=\"o\">=</span><span class=\"mf\">4</span><span class=\"p\">):</span></pre>\n",
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" #ifdef WITH_THREAD\n",
" PyThreadState *_save;\n",
" Py_UNBLOCK_THREADS\n",
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" /*try:*/ {\n",
" {\n",
" #if ((defined(__APPLE__) || defined(__OSX__)) &amp;&amp; (defined(__GNUC__) &amp;&amp; (__GNUC__ &gt; 2 || (__GNUC__ == 2 &amp;&amp; (__GNUC_MINOR__ &gt; 95)))))\n",
" #undef likely\n",
" #undef unlikely\n",
" #define likely(x) (x)\n",
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" #ifdef _OPENMP\n",
" #pragma omp parallel num_threads(4)\n",
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"/* … */\n",
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"<pre class='cython code score-0 '> __pyx_t_1 = __pyx_v_n_calls;\n",
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" __pyx_v_i = (int)(0 + 1 * __pyx_t_2);\n",
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"<pre class='cython code score-0 '> __pyx_v_d = (__pyx_v_d + __pyx_v_i);\n",
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" }\n",
" }\n",
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" }\n",
" }\n",
" #if ((defined(__APPLE__) || defined(__OSX__)) &amp;&amp; (defined(__GNUC__) &amp;&amp; (__GNUC__ &gt; 2 || (__GNUC__ == 2 &amp;&amp; (__GNUC_MINOR__ &gt; 95)))))\n",
" #undef likely\n",
" #undef unlikely\n",
" #define likely(x) __builtin_expect(!!(x), 1)\n",
" #define unlikely(x) __builtin_expect(!!(x), 0)\n",
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" }\n",
"</pre><pre class=\"cython line score-0\">&#xA0;<span class=\"\">86</span>: </pre>\n",
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},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"%%cython -a --compile-args=-fopenmp --link-args=-fopenmp \n",
"# cython: boundscheck = False\n",
"# distutils: define_macros=NPY_NO_DEPRECATED_API=NPY_1_7_API_VERSION\n",
"\n",
"cimport numpy as cnp\n",
"cimport openmp\n",
"\n",
"from cython cimport floating\n",
"from cython.parallel cimport prange, parallel\n",
"from sklearn.utils._cython_blas cimport _gemm as cy_gemm, BLAS_Order, RowMajor, ColMajor, BLAS_Trans, NoTrans, Trans\n",
"\n",
"from threadpoolctl import threadpool_limits\n",
"\n",
"cpdef void gemm(\n",
" BLAS_Trans ta,\n",
" BLAS_Trans tb,\n",
" floating alpha,\n",
" const floating[:, :] A,\n",
" const floating[:, :] B,\n",
" floating beta,\n",
" floating[:, :] C,\n",
"):\n",
" cdef:\n",
" int m = A.shape[0] if ta == NoTrans else A.shape[1]\n",
" int n = B.shape[1] if tb == NoTrans else B.shape[0]\n",
" int k = A.shape[1] if ta == NoTrans else A.shape[0]\n",
" int lda, ldb, ldc\n",
" BLAS_Order order = ColMajor if A.strides[0] == A.itemsize else RowMajor\n",
"\n",
" if order == RowMajor:\n",
" lda = k if ta == NoTrans else m\n",
" ldb = n if tb == NoTrans else k\n",
" ldc = n\n",
" else:\n",
" lda = m if ta == NoTrans else k\n",
" ldb = k if tb == NoTrans else n\n",
" ldc = m\n",
"\n",
" with nogil:\n",
" cy_gemm(order, ta, tb, m, n, k, alpha, &A[0, 0],\n",
" lda, &B[0, 0], ldb, beta, &C[0, 0], ldc)\n",
" \n",
"def py_gemm(\n",
" int n_calls,\n",
" BLAS_Trans ta,\n",
" BLAS_Trans tb, \n",
" cnp.float64_t alpha,\n",
" const cnp.float64_t[:, :] A,\n",
" const cnp.float64_t[:, :] B,\n",
" cnp.float64_t beta,\n",
" cnp.float64_t[:, :] C,\n",
"):\n",
" cdef:\n",
" int i\n",
" int m = A.shape[0] if ta == NoTrans else A.shape[1]\n",
" int n = B.shape[1] if tb == NoTrans else B.shape[0]\n",
" int k = A.shape[1] if ta == NoTrans else A.shape[0]\n",
" int lda, ldb, ldc\n",
" BLAS_Order order = ColMajor if A.strides[0] == A.itemsize else RowMajor\n",
"\n",
" if order == RowMajor:\n",
" lda = k if ta == NoTrans else m\n",
" ldb = n if tb == NoTrans else k\n",
" ldc = n\n",
" else:\n",
" lda = m if ta == NoTrans else k\n",
" ldb = k if tb == NoTrans else n\n",
" ldc = m\n",
"\n",
" with nogil, parallel(num_threads=4): \n",
" for i in prange(n_calls, schedule='static'):\n",
" cy_gemm(order, ta, tb, m, n, k, alpha, &A[0, 0], lda, &B[0, 0], ldb, beta, &C[0, 0], ldc)\n",
" \n",
" return 0\n",
"\n",
"\n",
"def py_noop(\n",
" int n_calls,\n",
"):\n",
" cdef:\n",
" int i\n",
" int d = 0\n",
"\n",
" with nogil, parallel(num_threads=4): \n",
" for i in prange(n_calls, schedule='static'):\n",
" d += i\n",
" \n",
" return d"
]
},
{
"cell_type": "markdown",
"id": "9de3ebc6",
"metadata": {},
"source": [
"### Compute bound operations"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "5f9616ba",
"metadata": {},
"outputs": [],
"source": [
"from sklearn.utils._cython_blas import NoTrans, Trans\n",
"\n",
"from joblib import Parallel, delayed\n",
"\n",
"alpha = - 0.5\n",
"beta = 1\n",
"\n",
"size = 256\n",
"\n",
"n_calls = 1_000\n",
"\n",
"ta = NoTrans\n",
"tb = Trans\n",
"\n",
"A = np.random.rand(size, size)\n",
"B = np.random.rand(size, size)\n",
"C = np.random.rand(size, size)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "bbfa93a1",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"235 ms ± 21 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n"
]
}
],
"source": [
"%%timeit\n",
"with threadpool_limits(1, user_api=\"blas\"): \n",
" Parallel(backend=\"threading\", n_jobs=4)(delayed(gemm)(ta, tb, alpha, A, B, beta, C) for i in range(n_calls))"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "946b549c",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"201 ms ± 5.88 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n"
]
}
],
"source": [
"%%timeit\n",
"with threadpool_limits(1, user_api=\"blas\"): \n",
" py_gemm(n_calls, ta, tb, alpha, A, B, beta, C)"
]
},
{
"cell_type": "markdown",
"id": "9a063a59",
"metadata": {},
"source": [
"### No-op"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "4a45b9eb",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"22.6 ms ± 992 µs per loop (mean ± std. dev. of 7 runs, 10 loops each)\n"
]
}
],
"source": [
"%%timeit\n",
"with threadpool_limits(1, user_api=\"blas\"): \n",
" Parallel(backend=\"threading\", n_jobs=4)(delayed(lambda x: x)(i) for i in range(n_calls))"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "3ae069be",
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"491 µs ± 13.6 µs per loop (mean ± std. dev. of 7 runs, 1,000 loops each)\n"
]
}
],
"source": [
"%%timeit\n",
"with threadpool_limits(1, user_api=\"blas\"): \n",
" py_noop(n_calls)"
]
},
{
"cell_type": "markdown",
"id": "9151af43",
"metadata": {},
"source": [
" - Dispatch de fonction joblib avec `threading`: 30µs\n",
" - Dispatch de fonction avec OpenMP: 0.5µs"
]
},
{
"cell_type": "markdown",
"id": "9430d5bb",
"metadata": {},
"source": [
"### Understanding Cython code generation"
]
},
{
"cell_type": "markdown",
"id": "6d56d3b4",
"metadata": {},
"source": [
"Is it possible to dispatch `cpdef` functions and via an joblib OpenMP backend?\n",
"\n",
"A necessary condition is to be able to access the address of the C function generated by Cython in a OpenMP `prange`. \n",
"\n",
"**Question**: Can one access such a function?\n",
"\n",
"It seems rather impossible.\n",
"\n",
"For instance, the compilation of the following piece of Cython code:"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "7e216d42",
"metadata": {},
"outputs": [
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