{"id":121301,"date":"2026-11-02T13:08:37","date_gmt":"2026-11-02T05:08:37","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/121301.html"},"modified":"2026-11-02T13:08:37","modified_gmt":"2026-11-02T05:08:37","slug":"opencl%e7%94%9f%e6%80%81%e5%9b%bd%e5%a4%96%e5%8e%82%e5%ae%b6","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/121301.html","title":{"rendered":"OpenCL\u751f\u6001(\u56fd\u5916\u5382\u5bb6)"},"content":{"rendered":"<\/p>\n<h4>\u6587\u7ae0\u76ee\u5f55<\/h4>\n<ul>\n<li>OpenCL \u5728\u6d77\u5916\u5f02\u6784\u5e73\u53f0\u7684\u73b0\u72b6\u4e0e\u751f\u6001\u56f0\u5883<\/li>\n<li>\n<ul>\n<li>\u6458\u8981<\/li>\n<li>\u4e00\u3001\u6d77\u5916\u4e3b\u6d41\u5382\u5546 OpenCL \u652f\u6301\u603b\u89c8<\/li>\n<li>\u4e8c\u3001OpenCL \u7684\u6838\u5fc3\u75db\u70b9&#xff1a;\u6807\u51c6\u5f88\u5f00\u653e&#xff0c;\u4e0a\u5c42\u751f\u6001\u5f88\u5355\u8584<\/li>\n<li>\u4e09\u3001\u4e3a\u4ec0\u4e48\u6d77\u5916\u65b0\u9879\u76ee\u9010\u6e10\u653e\u5f03 OpenCL&#xff0c;\u8f6c\u5411 SYCL \/ HIP \/ CUDA<\/li>\n<li>\u56db\u3001\u9762\u5411 CFD\u3001AMGCL\u3001VexCL \u5f00\u53d1\u8005\u7684\u9009\u578b\u5c0f\u7ed3<\/li>\n<li>\u9644\u5f55&#xff1a;\u5feb\u901f\u9a8c\u8bc1\u672c\u673a OpenCL \u73af\u5883\u811a\u672c<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h2>OpenCL \u5728\u6d77\u5916\u5f02\u6784\u5e73\u53f0\u7684\u73b0\u72b6\u4e0e\u751f\u6001\u56f0\u5883<\/h2>\n<p>\u9762\u5411 HPC\u3001CFD\u3001VexCL \u5f00\u53d1\u8005<\/p>\n<h3>\u6458\u8981<\/h3>\n<p>OpenCL \u4f5c\u4e3a Khronos \u63a8\u51fa\u7684\u8de8\u5382\u5546\u5f02\u6784\u8ba1\u7b97\u6807\u51c6&#xff0c;\u957f\u671f\u88ab\u89c6\u4e3a\u5b9e\u73b0\u786c\u4ef6\u53ef\u79fb\u690d\u7684\u65b9\u6848\u3002\u6d77\u5916\u4e3b\u6d41 GPU \u5382\u5546&#xff08;AMD\u3001NVIDIA\u3001Intel&#xff09;\u9a71\u52a8\u5c42\u5bf9 OpenCL \u7684\u6807\u51c6\u652f\u6301\u90fd\u6bd4\u8f83\u89c4\u8303&#xff0c;\u81ea\u5e26 ICD \u52a0\u8f7d\u5668&#xff0c;\u53cc\u7cbe\u5ea6\u6269\u5c55 cl_khr_fp64 \u5b8c\u5907&#xff0c;VexCL \u8fd9\u7c7b\u57fa\u4e8e OpenCL \u7684\u4e0a\u5c42\u6a21\u677f\u5e93\u53ef\u4ee5\u76f4\u63a5\u8bc6\u522b\u3001\u8fd0\u884c\u3002 \u4f46\u5f88\u591a HPC \u5f00\u53d1\u8005\u5728\u5b9e\u8df5\u540e\u4f1a\u53d1\u73b0&#xff1a;\u9a71\u52a8\u5408\u89c4\u4e0d\u7b49\u4e8e\u751f\u6001\u6210\u719f\u3002OpenCL \u6700\u5927\u77ed\u677f\u4e0d\u5728\u6807\u51c6\u672c\u8eab&#xff0c;\u800c\u5728\u914d\u5957\u9ad8\u6027\u80fd\u7b97\u5b50\u5e93\u3001\u8c03\u8bd5\u5256\u6790\u5de5\u5177\u3001\u5382\u5546\u6301\u7eed\u6295\u5165\u529b\u5ea6\u4e0a&#xff0c;\u8fd9\u4e5f\u662f\u8fd1\u5e74\u6d77\u5916\u65b0\u9879\u76ee\u9010\u6b65\u8f6c\u5411 HIP\u3001SYCL\u3001CUDA \u7684\u6838\u5fc3\u539f\u56e0\u3002\u672c\u6587\u4ece\u6d77\u5916\u5382\u5546\u652f\u6301\u73b0\u72b6\u51fa\u53d1&#xff0c;\u5256\u6790 OpenCL \u7684\u771f\u5b9e\u751f\u6001\u95ee\u9898&#xff0c;\u5e76\u5bf9\u6bd4\u51e0\u6761\u4e3b\u6d41\u5f02\u6784\u8def\u7ebf\u7684\u53d6\u820d\u3002<\/p>\n<p>\u5173\u952e\u8bcd&#xff1a;OpenCL&#xff1b;HPC&#xff1b;VexCL&#xff1b;SYCL&#xff1b;HIP&#xff1b;CFD&#xff1b;GPGPU&#xff1b;\u53ef\u79fb\u690d\u8ba1\u7b97<\/p>\n<hr \/>\n<h3>\u4e00\u3001\u6d77\u5916\u4e3b\u6d41\u5382\u5546 OpenCL \u652f\u6301\u603b\u89c8<\/h3>\n<p>\u6d77\u5916\u5934\u90e8GPGPU\u5382\u5546\u5168\u90e8\u9075\u5faa Khronos ICD&#xff08;Installable Client Driver&#xff09;\u89c4\u8303&#xff0c;clinfo \u53ef\u4ee5\u6b63\u5e38\u679a\u4e3e\u5230\u72ec\u7acb OpenCL \u5e73\u53f0&#xff0c;\u53cc\u7cbe\u5ea6\u6269\u5c55 cl_khr_fp64 \u539f\u751f\u53ef\u7528&#xff0c;\u8fd9\u662f\u548c\u5f88\u591a\u4e13\u7528DSA\u82af\u7247\u6700\u672c\u8d28\u7684\u533a\u522b\u3002\u5dee\u522b\u4e3b\u8981\u662f\u5382\u5546\u8d44\u6e90\u6295\u5165\u4f18\u5148\u7ea7\u3001\u7ef4\u62a4\u7b56\u7565\u3001HPC\u793e\u533a\u6848\u4f8b\u6570\u91cf\u3002<\/p>\n<table>\n<tr>\u5382\u5546\u4ea7\u54c1\u7ebfOpenCL\u7248\u672ccl_khr_fp64\u8def\u7ebf\u5b9a\u4f4d\u3001\u652f\u6301\u73b0\u72b6VexCL\u4f7f\u7528\u4f53\u9a8c\u5907\u6ce8<\/tr>\n<tbody>\n<tr>\n<td>AMD&#xff08;ROCm&#xff09;<\/td>\n<td>RDNA \/ Instinct \u6570\u636e\u4e2d\u5fc3\u5361<\/td>\n<td>OpenCL 2.0 \/ 2.1<\/td>\n<td>\u2705 FP64\u4e00\u7b49\u516c\u6c11&#xff0c;\u6df1\u5ea6\u786c\u4ef6\u4f18\u5316<\/td>\n<td>ROCm \u539f\u751f\u6b63\u5f0f\u7ec4\u4ef6&#xff1b;\u5386\u53f2\u4e0a\u662f OpenCL HPC \u7684\u6807\u6746\u5e73\u53f0&#xff1b;\u5b98\u65b9\u73b0\u5728\u4e3b\u63a8 HIP&#xff0c;OpenCL \u4f5c\u4e3a\u5b58\u91cf\u4ee3\u7801\u517c\u5bb9\u8def\u7ebf\u957f\u671f\u7ef4\u62a4&#xff0c;\u4e0d\u4f1a\u7a81\u7136\u79fb\u9664<\/td>\n<td>\u2b50\u2b50\u2b50\u2b50\u2b50 \u6700\u4f73&#xff0c;VexCL \u793e\u533a\u7ecf\u5178\u57fa\u51c6\u5e73\u53f0&#xff0c;\u5927\u91cf OpenFOAM\u3001AMG \u7c7b\u7a00\u758f\u8fed\u4ee3\u7b97\u4f8b\u9a8c\u8bc1<\/td>\n<td>VexCL\u3001OpenCL HPC \u5f00\u53d1\u8005\u6700\u5e38\u7528\u7684\u6d4b\u8bd5\u5e73\u53f0&#xff1b;OpenCL \u884c\u4e3a\u89c4\u8303\u7a33\u5b9a<\/td>\n<\/tr>\n<tr>\n<td>NVIDIA<\/td>\n<td>RTX \/ A\/H \u7cfb\u5217\u6570\u636e\u4e2d\u5fc3\u5361<\/td>\n<td>OpenCL 3.0&#xff08;\u65b0\u7248\u9a71\u52a8&#xff09;<\/td>\n<td>\u2705 \u5b8c\u6574\u652f\u6301<\/td>\n<td>Khronos\u8ba4\u8bc1&#xff0c;\u9a71\u52a8\u81ea\u5e26ICD&#xff1b;\u5c5e\u4e8e\u517c\u5bb9\u515c\u5e95\u63a5\u53e3&#xff0c;\u5382\u5546\u7814\u53d1\u91cd\u5fc3\u5b8c\u5168\u653e\u5728 CUDA&#xff0c;\u4e0d\u518d\u65b0\u589e OpenCL \u4e13\u5c5e\u786c\u4ef6\u4f18\u5316\u3001 intrinsics\u3001\u7b97\u5b50\u5e93<\/td>\n<td>\u2b50\u2b50\u2b50 \u5f00\u7bb1\u5373\u53ef\u7f16\u8bd1\u8fd0\u884c&#xff1b;\u4f46\u662f\u7f3a\u5c11\u9762\u5411OpenCL\u7684\u4e13\u7528profiler\u3001\u8c03\u4f18\u6307\u5357&#xff0c;\u90e8\u5206\u5408\u5e76\u8bbf\u5b58\u3001warp\u76f8\u5173\u5751\u9700\u8981\u624b\u52a8\u5904\u7406<\/td>\n<td>\u517c\u5bb9\u6027\u6ca1\u95ee\u9898&#xff0c;\u4f46\u6027\u80fd\u4e0a\u9650\u3001\u5de5\u5177\u94fe\u5f31\u4e8e\u539f\u751fCUDA&#xff1b;\u9002\u5408\u5b58\u91cfOpenCL\u8001\u4ee3\u7801&#xff0c;\u4e0d\u5efa\u8bae\u65b0\u9879\u76ee\u4ee5\u6b64\u4e3a\u4e3b\u7ebf<\/td>\n<\/tr>\n<tr>\n<td>Intel<\/td>\n<td>Arc\u3001Flex\u3001Max GPU&#xff08;oneAPI Compute-Runtime&#xff09;<\/td>\n<td>OpenCL 3.0<\/td>\n<td>\u2705 \u652f\u6301<\/td>\n<td>\u5f00\u6e90 Compute-Runtime&#xff0c;\u662f DPC&#043;&#043;\/SYCL \u7684\u5e95\u5c42\u627f\u8f7d\u5c42&#xff1b;\u5b98\u65b9\u4e3b\u63a8 SYCL \/ oneAPI&#xff0c;OpenCL \u4f5c\u4e3a\u5e95\u5c42\u540e\u7aef\u6301\u7eed\u7ef4\u62a4<\/td>\n<td>\u2b50\u2b50\u2b50 \u6807\u51c6\u5408\u89c4\u3001\u89c4\u8303bug\u5c11&#xff1b;\u5927\u89c4\u6a21\u53cc\u7cbe\u5ea6CFD\u96c6\u7fa4\u6848\u4f8b\u5c11\u4e8eAMD<\/td>\n<td>Linux\u4f18\u5148&#xff1b;CPU\u4e0eGPU\u5171\u7528\u4e00\u5957Runtime&#xff0c;\u9002\u5408\u505aSYCL\u53ef\u79fb\u690d\u6027\u9a8c\u8bc1<\/td>\n<\/tr>\n<tr>\n<td>ARM \/ Imagination<\/td>\n<td>Mali\u3001IMG GPU<\/td>\n<td>OpenCL 2.0 \/ 3.0<\/td>\n<td>\u90e8\u5206\u9ad8\u7aef\u578b\u53f7\u652f\u6301<\/td>\n<td>\u9762\u5411\u79fb\u52a8\u7aef\u3001\u5d4c\u5165\u5f0f\u3001\u8fb9\u7f18\u573a\u666f<\/td>\n<td>\u4e00\u822c<\/td>\n<td>\u51e0\u4e4e\u4e0d\u7528\u4e8e\u6570\u636e\u4e2d\u5fc3\u7ea7\u53cc\u7cbe\u5ea6HPC\u3001CFD\u4eff\u771f<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u4e00\u53e5\u8bdd\u603b\u7ed3\u5382\u5546\u652f\u6301\u5c42\u9762&#xff1a;\u6d77\u5916\u5382\u5546\u7684 OpenCL \u201c\u80fd\u7528\u3001\u6807\u51c6\u5408\u89c4\u3001\u652f\u6301\u53cc\u7cbe\u5ea6\u201d&#xff0c;\u4f46\u90fd\u4e0d\u518d\u662f\u5382\u5546\u4e3b\u63a8\u7684\u4e00\u7b49\u516c\u6c11\u7f16\u7a0b\u6a21\u578b\u3002<\/p>\n<p>AMD \u65e9\u5e74\u5728 OpenCL HPC \u6295\u5165\u6700\u591a&#xff0c;\u79ef\u7d2f\u4e86\u6700\u591a\u7684\u7a00\u758f\u8fed\u4ee3\u3001CFD \u6848\u4f8b&#xff1b;NVIDIA \u53ea\u662f\u201c\u9644\u5e26\u652f\u6301\u201d&#xff1b;Intel \u5c06 OpenCL \u4e0b\u6c89\u4e3a SYCL \u7684\u5e95\u5c42\u5b9e\u73b0\u3002<\/p>\n<h3>\u4e8c\u3001OpenCL \u7684\u6838\u5fc3\u75db\u70b9&#xff1a;\u6807\u51c6\u5f88\u5f00\u653e&#xff0c;\u4e0a\u5c42\u751f\u6001\u5f88\u5355\u8584<\/h3>\n<p>\u5f88\u591a\u5f00\u53d1\u8005\u4f1a\u6709\u4e00\u4e2a\u7f8e\u597d\u9884\u671f&#xff1a;\u53ea\u8981\u786c\u4ef6\u9a71\u52a8\u652f\u6301\u6807\u51c6 OpenCL&#xff0c;\u5c31\u53ef\u4ee5\u50cf CUDA \u4e00\u6837\u5feb\u901f\u642d\u5efa\u5927\u89c4\u6a21\u79d1\u5b66\u8ba1\u7b97\u5e94\u7528\u3002\u73b0\u5b9e\u7684\u74f6\u9888\u4e0d\u5728 kernel \u6267\u884c\u5c42&#xff0c;\u800c\u5728\u914d\u5957\u751f\u6001\u3002<\/p>\n<p>OpenCL \u7684\u5b9a\u4f4d\u662f\u4e00\u5957\u6781\u7b80\u5e95\u5c42\u62bd\u8c61&#xff1a;\u5b83\u53ea\u5b9a\u4e49\u8bbe\u5907\u3001\u5185\u5b58\u5bf9\u8c61\u3001\u547d\u4ee4\u961f\u5217\u3001kernel \u63d0\u4ea4\u3001\u4e8b\u4ef6\u540c\u6b65\u673a\u5236\u3002\u6807\u51c6\u6587\u6863\u4e0d\u6346\u7ed1\u4efb\u4f55\u7ebf\u6027\u4ee3\u6570\u3001\u7a00\u758f\u77e9\u9635\u3001FFT\u3001\u96c6\u5408\u901a\u4fe1\u5e93\u3002<\/p>\n<p>\u800c CUDA\u3001HIP\u3001oneAPI \u662f\u4e00\u6574\u5957\u7aef\u5230\u7aef\u751f\u6001\u5305&#xff1a;\u5382\u5546\u914d\u5957\u7ef4\u62a4\u7ecf\u8fc7\u6df1\u5ea6\u786c\u4ef6\u8c03\u4f18\u7684\u7b97\u5b50\u5e93\u3001\u8c03\u8bd5\u5668\u3001\u6027\u80fd\u5256\u6790\u5668\u3001\u591a\u5361\u901a\u4fe1\u5e93&#xff1a;<\/p>\n<ul>\n<li>CUDA&#xff1a;cuBLAS\u3001cuSparse\u3001cuFFT\u3001NCCL\u3001Nsight&#xff1b;<\/li>\n<li>HIP\/ROCm&#xff1a;rocBLAS\u3001rocSparse\u3001rocFFT\u3001rocComm&#xff1b;<\/li>\n<li>oneAPI&#xff1a;oneMKL\u3001oneSparse\u3001oneCCL\u3002<\/li>\n<\/ul>\n<p>OpenCL \u751f\u6001\u91cc&#xff0c;\u6240\u6709\u540c\u7c7b\u80fd\u529b\u5168\u90e8\u4f9d\u8d56\u96f6\u6563\u7684\u793e\u533a\u5f00\u6e90\u9879\u76ee&#xff0c;\u5178\u578b\u4ee3\u8868&#xff1a;clBLAS \/ CLBlast\u3001clFFT\u3001clSPARSE\u3002\u8fd9\u7c7b\u793e\u533a\u5e93\u6709\u51e0\u4e2a\u5171\u6027\u77ed\u677f&#xff1a;<\/p>\n<li>\u7ef4\u62a4\u4e0d\u7a33\u5b9a&#xff0c;\u5f88\u591a\u9879\u76ee\u65e9\u5df2\u8fdb\u5165\u4f4e\u6d3b\u8dc3\u6216\u505c\u6ede\u72b6\u6001\u3002\u6ca1\u6709\u5355\u4e00\u5382\u5546\u6301\u7eed\u6295\u5165\u4eba\u529b\u7ef4\u62a4&#xff0c;\u7248\u672c\u8fed\u4ee3\u8282\u594f\u6162&#xff0c;\u65b0\u786c\u4ef6\u67b6\u6784\u9002\u914d\u6ede\u540e&#xff1b;<\/li>\n<li>\u5bf9\u53cc\u7cbe\u5ea6\u3001\u6279\u91cf\u7a00\u758f\u3001\u591a\u5361\u5206\u5e03\u5f0f\u573a\u666f\u652f\u6301\u6709\u9650\u3002\u5bf9\u4e8e CFD\u3001AMG \u8fd9\u7c7b\u91cd\u5ea6\u4f9d\u8d56 FP64\u3001SpMV\u3001\u8fed\u4ee3\u6c42\u89e3\u7684\u573a\u666f&#xff0c;\u5f88\u591a\u793e\u533a\u5e93\u7684\u4f18\u5316\u7a0b\u5ea6\u8fdc\u4f4e\u4e8e\u5382\u5546\u539f\u751f\u5e93&#xff1b;<\/li>\n<li>\u7f3a\u5c11\u6210\u719f\u7684\u591a\u5361\u4e92\u8054\u62bd\u8c61\u3002OpenCL \u6ca1\u6709\u539f\u751f\u7684\u96c6\u5408\u901a\u4fe1\u3001\u5bf9\u7b49\u62f7\u8d1d\u62bd\u8c61&#xff1b;\u591a GPU \u534f\u540c\u3001MPI&#043;OpenCL \u6df7\u5408\u5e76\u884c\u903b\u8f91&#xff0c;\u51e0\u4e4e\u5168\u90e8\u8981\u5f00\u53d1\u8005\u81ea\u5df1\u57fa\u4e8e\u4e8b\u4ef6\u3001\u7f13\u51b2\u533a\u624b\u52a8\u5b9e\u73b0&#xff0c;\u5f00\u53d1\u6210\u672c\u9ad8&#xff0c;\u5bb9\u6613\u5f15\u5165\u540c\u6b65bug&#xff1b;<\/li>\n<li>\u8c03\u8bd5\u4e0e\u6027\u80fd\u5206\u6790\u5de5\u5177\u532e\u4e4f\u3002\u51e0\u4e4e\u6ca1\u6709\u4e13\u95e8\u9762\u5411 OpenCL \u7684\u3001\u7a33\u5b9a\u597d\u7528\u7684\u8de8\u5382\u5546 profiler&#xff0c;\u5b9a\u4f4d kernel \u74f6\u9888\u3001\u8bbf\u5b58\u51b2\u7a81\u3001\u540c\u6b65\u5f00\u9500\u975e\u5e38\u56f0\u96be\u3002<\/li>\n<p>\u8fd9\u91cc\u6b63\u597d\u89e3\u91ca VexCL \u8fd9\u7c7b\u5e93\u7684\u4ef7\u503c&#xff1a;VexCL \u672c\u8d28\u5c31\u662f\u5728 OpenCL \u4e4b\u4e0a\u5c01\u88c5\u5411\u91cf\u3001\u7a00\u758f\u77e9\u9635\u3001\u89c4\u7ea6\u3001\u8fed\u4ee3\u7b97\u5b50&#xff0c;\u7528\u6765\u586b\u8865\u57fa\u7840\u7b97\u5b50\u7f3a\u53e3\u3002\u6240\u4ee5 VexCL \u975e\u5e38\u9002\u5408 AMGCL \u8fd9\u7c7b\u4ee5\u7a00\u758f\u8fed\u4ee3\u4e3a\u4e3b\u7684\u6c42\u89e3\u5668&#xff1b;\u4f46\u5982\u679c\u4e1a\u52a1\u5927\u91cf\u4f9d\u8d56\u590d\u6742 BLAS\u3001\u6279\u91cfFFT\u3001\u5927\u89c4\u6a21\u591a\u5361\u96c6\u5408\u901a\u4fe1&#xff0c;\u4ec5\u9760 OpenCL \u793e\u533a\u5e93\u4f1a\u975e\u5e38\u5403\u529b\u3002<\/p>\n<h3>\u4e09\u3001\u4e3a\u4ec0\u4e48\u6d77\u5916\u65b0\u9879\u76ee\u9010\u6e10\u653e\u5f03 OpenCL&#xff0c;\u8f6c\u5411 SYCL \/ HIP \/ CUDA<\/h3>\n<p>\u4e0d\u662f OpenCL \u6807\u51c6\u672c\u8eab\u6709\u81f4\u547d\u7f3a\u9677&#xff0c;\u800c\u662f\u884c\u4e1a\u627e\u5230\u4e86\u66f4\u5e73\u8861\u7684\u65b9\u6848&#xff1a;<\/p>\n<li>HIP&#xff08;AMD&#xff09;&#xff1a;\u8bed\u6cd5\u8d34\u8fd1 CUDA&#xff0c;\u914d\u5957\u5168\u5957\u5382\u5546\u7ef4\u62a4\u7684\u9ad8\u6027\u80fd\u5e93&#xff0c;HPC \u751f\u6001\u6210\u719f&#xff0c;\u9002\u5408\u5b58\u91cf CUDA \u4ee3\u7801\u8fc1\u79fb&#xff1b;\u4ee3\u4ef7\u662f\u7ed1\u5b9a AMD \u751f\u6001\u3002<\/li>\n<li>SYCL&#xff08;Khronos&#xff09;&#xff1a;\u53ef\u4ee5\u7406\u89e3\u4e3a OpenCL \u7684\u73b0\u4ee3\u5316\u7ee7\u4efb\u8def\u7ebf&#xff0c;\u4fdd\u7559\u8de8\u5382\u5546\u53ef\u79fb\u690d\u76ee\u6807&#xff0c;\u540c\u65f6\u7531 Khronos \u7275\u5934\u3001Intel \u4e3b\u529b\u6295\u5165\u914d\u5957 oneAPI \u7b97\u5b50\u5e93\u751f\u6001&#xff0c;\u89e3\u51b3\u201c\u53ea\u6709\u5e95\u5c42API\u3001\u7f3a\u5c11\u4e0a\u5c42\u5e93\u201d\u7684\u5386\u53f2\u95ee\u9898\u3002hipSYCL \/ AdaptiveCpp \u662f\u4e3b\u6d41\u5f00\u6e90\u5b9e\u73b0&#xff0c;\u53ef\u4ee5\u8dd1\u5728 AMD\u3001NVIDIA\u3001Intel \u591a\u5bb6\u786c\u4ef6\u4e0a\u3002<\/li>\n<li>CUDA&#xff08;NVIDIA&#xff09;&#xff1a;\u751f\u6001\u6700\u5b8c\u5584\u3001\u5de5\u5177\u94fe\u6700\u597d&#xff0c;\u4f46\u786c\u4ef6\u9501\u5b9a\u3002<\/li>\n<p>OpenCL \u9002\u5408\u7684\u573a\u666f\u88ab\u6536\u7f29\u5230&#xff1a;<\/p>\n<ul>\n<li>\u5b58\u91cf\u5386\u53f2 OpenCL \u4eff\u771f\u4ee3\u7801\u3001\u4e0d\u60f3\u5927\u89c4\u6a21\u91cd\u6784&#xff1b;<\/li>\n<li>\u8ba1\u7b97\u6a21\u5f0f\u7b80\u5355&#xff0c;\u4ee5\u5411\u91cf\u8fd0\u7b97\u3001\u7a00\u758f\u8fed\u4ee3\u4e3a\u4e3b&#xff08;\u5178\u578b\u5982 VexCL &#043; AMGCL&#xff09;&#xff1b;<\/li>\n<li>\u9700\u8981\u540c\u65f6\u8dd1\u5728 CPU\u3001GPU\u3001FPGA \u591a\u79cd\u5f02\u6784\u8bbe\u5907&#xff0c;\u4e14\u7b97\u5b50\u903b\u8f91\u7b80\u5355\u3002<\/li>\n<\/ul>\n<h3>\u56db\u3001\u9762\u5411 CFD\u3001AMGCL\u3001VexCL \u5f00\u53d1\u8005\u7684\u9009\u578b\u5c0f\u7ed3<\/h3>\n<li>\u5982\u679c\u4f60\u7684\u4ee3\u7801\u6808\u662f VexCL &#043; AMGCL&#xff0c;\u4ee5\u7a00\u758f\u8fed\u4ee3\u6c42\u89e3\u4e3a\u4e3b&#xff1a;AMD ROCm \u5e73\u53f0\u662f\u6d77\u5916\u73af\u5883\u4e0b\u6700\u7a33\u59a5\u7684\u9009\u62e9&#xff0c;OpenCL \u7a33\u5b9a\u3001FP64 \u4f18\u5316\u5230\u4f4d&#xff0c;\u793e\u533a\u8e29\u5751\u6848\u4f8b\u5145\u8db3&#xff1b;<\/li>\n<li>\u5982\u679c\u672a\u6765\u4f1a\u5927\u91cf\u8c03\u7528\u590d\u6742 BLAS\u3001\u6279\u91cf\u7a00\u758f\u3001FFT\u3001\u591a\u5361\u96c6\u5408\u901a\u4fe1&#xff1a;\u4e0d\u5efa\u8bae\u4ee5 OpenCL \u4f5c\u4e3a\u4e3b\u7ebf&#xff0c;\u4f18\u5148 HIP \u6216\u8005 SYCL&#xff1b;<\/li>\n<li>NVIDIA \u5e73\u53f0\u4e0a OpenCL \u53ef\u4ee5\u8dd1\u5b58\u91cf\u4ee3\u7801&#xff0c;\u4f46\u4e0d\u8981\u6307\u671b OpenCL \u7248\u672c\u80fd\u8ffd\u4e0a CUDA \u7684\u6027\u80fd\u4e0e\u8c03\u8bd5\u4f53\u9a8c&#xff1b;<\/li>\n<li>Intel \u5e73\u53f0\u9002\u5408\u505a SYCL \u53ef\u79fb\u690d\u9a8c\u8bc1&#xff0c;OpenCL \u66f4\u591a\u4f5c\u4e3a\u5e95\u5c42\u5b9e\u73b0&#xff0c;\u4e0d\u5efa\u8bae\u76f4\u63a5\u5728\u4e1a\u52a1\u5c42\u624b\u5199 OpenCL kernel\u3002<\/li>\n<p>OpenCL \u7684\u6545\u4e8b\u662f\u4e00\u4e2a\u5178\u578b\u7684\u884c\u4e1a\u542f\u793a&#xff1a;\u4e00\u4e2a\u5f00\u653e\u3001\u5408\u89c4\u7684\u5e95\u5c42API&#xff0c;\u53ea\u662f\u53ef\u79fb\u690d\u8ba1\u7b97\u7684\u5fc5\u8981\u6761\u4ef6&#xff0c;\u4e0d\u662f\u5145\u5206\u6761\u4ef6\u3002\u771f\u6b63\u51b3\u5b9a\u5f00\u53d1\u6548\u7387\u3001\u843d\u5730\u6210\u672c\u7684&#xff0c;\u662f\u914d\u5957\u7b97\u5b50\u5e93\u3001\u5de5\u5177\u94fe\u3001\u5382\u5546\u957f\u671f\u6295\u5165\u6784\u6210\u7684\u5b8c\u6574\u751f\u6001\u3002<\/p>\n<h3>\u9644\u5f55&#xff1a;\u5feb\u901f\u9a8c\u8bc1\u672c\u673a OpenCL \u73af\u5883\u811a\u672c<\/h3>\n<p><span class=\"token comment\"># \u679a\u4e3e\u6240\u6709 OpenCL \u5e73\u53f0\u4e0e\u6269\u5c55&#xff0c;\u786e\u8ba4\u662f\u5426\u5b58\u5728 cl_khr_fp64<\/span><br \/>\nclinfo<\/p>\n<p>\u5bf9\u4e8e\u53cc\u7cbe\u5ea6\u79d1\u5b66\u6c42\u89e3\u5668&#xff0c;\u4e24\u4e2a\u5fc5\u8981\u6761\u4ef6&#xff1a;<\/p>\n<li>\u6210\u529f\u8bc6\u522b\u5382\u5546\u6807\u51c6 ICD OpenCL \u5e73\u53f0&#xff1b;<\/li>\n<li>\u6269\u5c55\u5217\u8868\u5305\u542b cl_khr_fp64\u3002<\/li>\n","protected":false},"excerpt":{"rendered":"<p>\u6587\u7ae0\u76ee\u5f55OpenCL \u5728\u6d77\u5916\u5f02\u6784\u5e73\u53f0\u7684\u73b0\u72b6\u4e0e\u751f\u6001\u56f0\u5883\u6458\u8981\u4e00\u3001\u6d77\u5916\u4e3b\u6d41\u5382\u5546 OpenCL \u652f\u6301\u603b\u89c8\u4e8c\u3001OpenCL \u7684\u6838\u5fc3\u75db\u70b9&#xff1a;\u6807\u51c6\u5f88\u5f00\u653e&#xff0c;\u4e0a\u5c42\u751f\u6001\u5f88\u5355\u8584\u4e09\u3001\u4e3a\u4ec0\u4e48\u6d77\u5916\u65b0\u9879\u76ee\u9010\u6e10\u653e\u5f03 OpenCL&#xff0c;\u8f6c\u5411 SYCL \/ HIP \/ CUDA\u56db\u3001\u9762\u5411 CFD\u3001AMGCL\u3001VexCL \u5f00\u53d1\u8005\u7684\u9009\u578b\u5c0f\u7ed3\u9644\u5f55&#xff1a;\u5feb\u901f\u9a8c\u8bc1\u672c\u673a OpenCL \u73af\u5883\u811a\u672cOpenCL \u5728\u6d77\u5916\u5f02\u6784\u5e73\u53f0\u7684\u73b0\u72b6\u4e0e\u751f\u6001\u56f0\u5883 \u9762\u5411 HPC\u3001CFD\u3001VexCL \u5f00\u53d1\u8005 <\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[1458],"topic":[],"class_list":["post-121301","post","type-post","status-publish","format-standard","hentry","category-server","tag-hpc"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>OpenCL\u751f\u6001(\u56fd\u5916\u5382\u5bb6) - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.wsisp.com\/helps\/121301.html\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"OpenCL\u751f\u6001(\u56fd\u5916\u5382\u5bb6) - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3\" \/>\n<meta property=\"og:description\" content=\"\u6587\u7ae0\u76ee\u5f55OpenCL \u5728\u6d77\u5916\u5f02\u6784\u5e73\u53f0\u7684\u73b0\u72b6\u4e0e\u751f\u6001\u56f0\u5883\u6458\u8981\u4e00\u3001\u6d77\u5916\u4e3b\u6d41\u5382\u5546 OpenCL \u652f\u6301\u603b\u89c8\u4e8c\u3001OpenCL \u7684\u6838\u5fc3\u75db\u70b9&#xff1a;\u6807\u51c6\u5f88\u5f00\u653e&#xff0c;\u4e0a\u5c42\u751f\u6001\u5f88\u5355\u8584\u4e09\u3001\u4e3a\u4ec0\u4e48\u6d77\u5916\u65b0\u9879\u76ee\u9010\u6e10\u653e\u5f03 OpenCL&#xff0c;\u8f6c\u5411 SYCL \/ HIP \/ CUDA\u56db\u3001\u9762\u5411 CFD\u3001AMGCL\u3001VexCL \u5f00\u53d1\u8005\u7684\u9009\u578b\u5c0f\u7ed3\u9644\u5f55&#xff1a;\u5feb\u901f\u9a8c\u8bc1\u672c\u673a OpenCL \u73af\u5883\u811a\u672cOpenCL 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