{"id":63903,"date":"2023-11-28T22:26:09","date_gmt":"2023-11-28T14:26:09","guid":{"rendered":"https:\/\/docs.pingcode.com\/?p=63903"},"modified":"2023-11-28T22:26:12","modified_gmt":"2023-11-28T14:26:12","slug":"cuda%e5%92%8copencl%e5%9c%a8gpu%e5%8a%a0%e9%80%9f%e8%ae%a1%e7%ae%97%e4%b8%8a%e6%9c%89%e4%bb%80%e4%b9%88%e5%8c%ba%e5%88%ab-2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/63903.html","title":{"rendered":"CUDA\u548cOpenCL\u5728GPU\u52a0\u901f\u8ba1\u7b97\u4e0a\u6709\u4ec0\u4e48\u533a\u522b"},"content":{"rendered":"\n
\n

CUDA\u548cOpenCL\u662f\u4e24\u79cd\u4e3b\u6d41\u7684GPU\u52a0\u901f\u8ba1\u7b97\u6846\u67b6\uff0c\u5b83\u4eec\u5728\u8bbe\u8ba1\u54f2\u5b66\u3001\u517c\u5bb9\u6027\u3001\u6027\u80fd\u548c\u7f16\u7a0b\u6a21\u578b\u7b49\u65b9\u9762\u5b58\u5728\u663e\u8457\u5dee\u5f02\u3002CUDA\u662fNVIDIA\u63a8\u51fa\u7684\u4e13\u6709\u6280\u672f\uff0c\u4e3aNVIDIA GPU\u4f18\u5316\uff1b\u800cOpenCL\u662f\u4e00\u4e2a\u5f00\u653e\u6807\u51c6\uff0c\u652f\u6301\u591a\u79cd\u5e73\u53f0\u3002\u672c\u6587\u5c06\u6df1\u5165\u63a2\u8ba8\u8fd9\u4e24\u79cd\u6280\u672f\u5728GPU\u52a0\u901f\u8ba1\u7b97\u4e0a\u7684\u5173\u952e\u533a\u522b\uff0c\u5305\u62ec\uff1a1.\u5e73\u53f0\u517c\u5bb9\u6027\uff1b2.\u7f16\u7a0b\u6a21\u578b\uff1b3.\u6027\u80fd\u4f18\u5316\uff1b4.\u5f00\u53d1\u8005\u793e\u533a\u548c\u652f\u6301\uff1b5.\u5e94\u7528\u9886\u57df\u548c\u6848\u4f8b\uff1b6.\u5b66\u4e60\u66f2\u7ebf\u548c\u6613\u7528\u6027\uff1b7.\u672a\u6765\u53d1\u5c55\u548c\u8d8b\u52bf\u3002<\/p>\n<\/blockquote>\n\n\n\n

1.\u5e73\u53f0\u517c\u5bb9\u6027<\/h2>\n\n\n\n

CUDA\u4e13\u4e3aNVIDIA\u7684GPU\u8bbe\u8ba1\uff0c\u56e0\u6b64\u53ea\u5728NVIDIA\u7684GPU\u4e0a\u8fd0\u884c\u3002\u8fd9\u79cd\u4e13\u6709\u6027\u610f\u5473\u7740CUDA\u53ef\u4ee5\u5145\u5206\u5229\u7528NVIDIA GPU\u7684\u7279\u5b9a\u529f\u80fd\u3002\u76f8\u6bd4\u4e4b\u4e0b\uff0cOpenCL\u4f5c\u4e3a\u4e00\u4e2a\u5f00\u653e\u6807\u51c6\uff0c\u65e8\u5728\u63d0\u4f9b\u8de8\u5e73\u53f0\u7684\u517c\u5bb9\u6027\uff0c\u652f\u6301\u5305\u62ecAMD\u3001Intel\u548cNVIDIA\u7b49\u591a\u79cd\u5382\u5546\u7684GPU\u3002<\/p>\n\n\n\n

2.\u7f16\u7a0b\u6a21\u578b<\/h2>\n\n\n\n

CUDA\u548cOpenCL\u5728\u7f16\u7a0b\u6a21\u578b\u4e0a\u4e5f\u6709\u6240\u4e0d\u540c\u3002CUDA\u63d0\u4f9b\u4e86\u4e00\u5957\u76f8\u5bf9\u7b80\u5355\u7684\u7f16\u7a0b\u6a21\u578b\uff0c\u4f7f\u5f97\u5f00\u53d1\u8005\u80fd\u591f\u66f4\u5bb9\u6613\u5730\u8fdb\u884cGPU\u7f16\u7a0b\u3002OpenCL\u7684\u7f16\u7a0b\u6a21\u578b\u66f4\u4e3a\u590d\u6742\uff0c\u63d0\u4f9b\u4e86\u66f4\u9ad8\u7684\u7075\u6d3b\u6027\uff0c\u4f46\u4e5f\u8981\u6c42\u5f00\u53d1\u8005\u6709\u66f4\u6df1\u5165\u7684\u7406\u89e3\u548c\u63a7\u5236\u3002<\/p>\n\n\n\n

3.\u6027\u80fd\u4f18\u5316<\/h2>\n\n\n\n

\u7531\u4e8eCUDA\u662f\u4e3aNVIDIA\u7684GPU\u4e13\u95e8\u8bbe\u8ba1\u7684\uff0c\u56e0\u6b64\u5b83\u80fd\u591f\u66f4\u597d\u5730\u5229\u7528NVIDIA GPU\u7684\u7279\u5b9a\u67b6\u6784\u548c\u529f\u80fd\uff0c\u4ece\u800c\u5b9e\u73b0\u66f4\u9ad8\u7684\u6027\u80fd\u4f18\u5316\u3002CUDA\u901a\u5e38\u5728NVIDIA\u786c\u4ef6\u4e0a\u63d0\u4f9b\u4f18\u8d8a\u7684\u6027\u80fd\u8868\u73b0\u3002\u800cOpenCL\uff0c\u4f5c\u4e3a\u4e00\u79cd\u66f4\u901a\u7528\u7684\u89e3\u51b3\u65b9\u6848\uff0c\u53ef\u80fd\u65e0\u6cd5\u5b8c\u5168\u5229\u7528\u7279\u5b9a\u786c\u4ef6\u7684\u6240\u6709\u9ad8\u7ea7\u529f\u80fd\uff0c\u4f46\u5176\u4f18\u52bf\u5728\u4e8e\u80fd\u591f\u5728\u5404\u79cd\u4e0d\u540c\u7684\u786c\u4ef6\u4e0a\u8fd0\u884c\u3002<\/p>\n\n\n\n

4.\u5f00\u53d1\u8005\u793e\u533a\u548c\u652f\u6301<\/h2>\n\n\n\n

NVIDIA\u4e3aCUDA\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u652f\u6301\u548c\u4e00\u4e2a\u5e9e\u5927\u7684\u5f00\u53d1\u8005\u793e\u533a\u3002\u8fd9\u5305\u62ec\u5e7f\u6cdb\u7684\u6587\u6863\u3001\u6559\u7a0b\u548c\u8bba\u575b\u652f\u6301\u3002OpenCL\u867d\u7136\u4f5c\u4e3a\u4e00\u4e2a\u5f00\u653e\u6807\u51c6\uff0c\u62e5\u6709\u8de8\u5e73\u53f0\u7684\u5f00\u53d1\u8005\u793e\u533a\uff0c\u4f46\u7531\u4e8e\u5176\u652f\u6301\u7684\u786c\u4ef6\u548c\u5e73\u53f0\u66f4\u5e7f\u6cdb\uff0c\u56e0\u6b64\u53ef\u80fd\u5728\u7279\u5b9a\u95ee\u9898\u7684\u89e3\u51b3\u65b9\u6848\u548c\u4f18\u5316\u4e0a\u4e0d\u5982CUDA\u90a3\u4e48\u96c6\u4e2d\u548c\u8be6\u7ec6\u3002<\/p>\n\n\n\n

5.\u5e94\u7528\u9886\u57df\u548c\u6848\u4f8b<\/h2>\n\n\n\n

CUDA\u7531\u4e8e\u5176\u9ad8\u6027\u80fd\u548c\u6613\u7528\u6027\uff0c\u5e7f\u6cdb\u5e94\u7528\u4e8e\u79d1\u5b66\u8ba1\u7b97\u3001\u6df1\u5ea6\u5b66\u4e60\u548c\u590d\u6742\u7684\u6570\u636e\u5904\u7406\u4efb\u52a1\u3002OpenCL\u7684\u8de8\u5e73\u53f0\u7279\u6027\u4f7f\u5176\u5728\u9700\u8981\u652f\u6301\u591a\u79cd\u786c\u4ef6\u7684\u73af\u5883\u4e2d\u975e\u5e38\u6709\u7528\uff0c\u5982\u5728\u4e0d\u540c\u7c7b\u578b\u7684GPU\u548c\u5176\u4ed6\u7c7b\u578b\u7684\u52a0\u901f\u5668\uff08\u5982FPGA\uff09\u4e0a\u8fd0\u884c\u76f8\u540c\u7684\u4ee3\u7801\u3002<\/p>\n\n\n\n

6.\u5b66\u4e60\u66f2\u7ebf\u548c\u6613\u7528\u6027<\/h2>\n\n\n\n

CUDA\u7684\u5b66\u4e60\u66f2\u7ebf\u76f8\u5bf9\u8f83\u4f4e\uff0c\u7279\u522b\u662f\u5bf9\u4e8e\u719f\u6089C\/C++\u7684\u5f00\u53d1\u8005\u6765\u8bf4\u3002NVIDIA\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u5b66\u4e60\u8d44\u6e90\u548c\u5de5\u5177\uff0c\u5e2e\u52a9\u5f00\u53d1\u8005\u5feb\u901f\u4e0a\u624b\u3002\u800cOpenCL\u7684\u5b66\u4e60\u66f2\u7ebf\u901a\u5e38\u66f4\u9661\u5ced\uff0c\u5c24\u5176\u662f\u56e0\u4e3a\u5b83\u9700\u8981\u5904\u7406\u66f4\u5e7f\u6cdb\u7684\u786c\u4ef6\u517c\u5bb9\u6027\u95ee\u9898\u3002<\/p>\n\n\n\n

7.\u672a\u6765\u53d1\u5c55\u548c\u8d8b\u52bf<\/h2>\n\n\n\n

\u968f\u7740GPU\u52a0\u901f\u8ba1\u7b97\u5728\u5404\u4e2a\u9886\u57df\u7684\u5e94\u7528\u65e5\u76ca\u589e\u591a\uff0cCUDA\u548cOpenCL\u90fd\u5728\u4e0d\u65ad\u53d1\u5c55\uff0c\u4ee5\u9002\u5e94\u65b0\u7684\u8ba1\u7b97\u9700\u6c42\u548c\u6280\u672f\u6311\u6218\u3002NVIDIA\u6301\u7eed\u63a8\u8fdbCUDA\u7684\u53d1\u5c55\uff0c\u4ee5\u4fdd\u6301\u5176\u5728\u9ad8\u6027\u80fd\u8ba1\u7b97\u9886\u57df\u7684\u9886\u5148\u5730\u4f4d\u3002\u540c\u65f6\uff0cOpenCL\u4f5c\u4e3a\u5f00\u653e\u6807\u51c6\uff0c\u4e5f\u5728\u52aa\u529b\u63d0\u5347\u6027\u80fd\u548c\u6613\u7528\u6027\uff0c\u4ee5\u652f\u6301\u66f4\u5e7f\u6cdb\u7684\u786c\u4ef6\u548c\u5e94\u7528\u573a\u666f\u3002<\/p>\n\n\n\n

\u603b\u7ed3<\/h2>\n\n\n\n

CUDA\u548cOpenCL\u5728GPU\u52a0\u901f\u8ba1\u7b97\u4e0a\u5404\u6709\u4f18\u52bf\u548c\u7279\u70b9\u3002CUDA\u4ee5\u5176\u5728NVIDIA\u786c\u4ef6\u4e0a\u7684\u9ad8\u6027\u80fd\u548c\u6613\u7528\u6027\u53d7\u5230\u8bb8\u591a\u5f00\u53d1\u8005\u7684\u9752\u7750\uff0c\u800cOpenCL\u7684\u8de8\u5e73\u53f0\u7279\u6027\u4f7f\u5176\u5728\u9700\u8981\u5e7f\u6cdb\u786c\u4ef6\u652f\u6301\u7684\u73af\u5883\u4e2d\u66f4\u6709\u4f18\u52bf\u3002\u9009\u62e9\u54ea\u4e00\u79cd\u6280\u672f\u53d6\u51b3\u4e8e\u5177\u4f53\u7684\u5e94\u7528\u9700\u6c42\u3001\u76ee\u6807\u786c\u4ef6\u548c\u5f00\u53d1\u8005\u7684\u504f\u597d\u3002<\/p>\n\n\n\n

\"CUDA\u548cOpenCL\u5728GPU\u52a0\u901f\u8ba1\u7b97\u4e0a\u6709\u4ec0\u4e48\u533a\u522b\"<\/p>\n\n\n\n

\n\n\n\n

\u5e38\u89c1\u95ee\u7b54<\/strong><\/h2>\n\n\n\n
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  • \u95ee\uff1aCUDA\u548cOpenCL\u5728GPU\u52a0\u901f\u8ba1\u7b97\u4e2d\u7684\u57fa\u672c\u533a\u522b\u662f\u4ec0\u4e48\uff1f<\/strong><\/li>\n\n\n\n
  • \u7b54\uff1a<\/strong>CUDA\u662f\u7531NVIDIA\u5f00\u53d1\u7684\u4e00\u79cd\u4e13\u7528\u4e8e\u5176GPU\u7684\u5e76\u884c\u8ba1\u7b97\u5e73\u53f0\u548c\u5e94\u7528\u7f16\u7a0b\u63a5\u53e3\uff08API\uff09\uff0c\u800cOpenCL\uff08Open Computing Language\uff09\u662f\u4e00\u4e2a\u5f00\u653e\u6807\u51c6\u7684\u5e76\u884c\u7f16\u7a0b\u6846\u67b6\uff0c\u652f\u6301\u591a\u79cd\u54c1\u724c\u548c\u7c7b\u578b\u7684CPU\u548cGPU\u3002\u7b80\u800c\u8a00\u4e4b\uff0cCUDA\u4e13\u7528\u4e8eNVIDIA\u7684GPU\uff0c\u800cOpenCL\u8bbe\u8ba1\u4e3a\u66f4\u901a\u7528\u3001\u8de8\u5e73\u53f0\u7684\u89e3\u51b3\u65b9\u6848\u3002<\/li>\n<\/ul>\n<\/div>\n\n\n\n
    \n
      \n
    • \u95ee\uff1a\u5728\u6027\u80fd\u65b9\u9762\uff0cCUDA\u548cOpenCL\u6709\u54ea\u4e9b\u4e0d\u540c\uff1f<\/strong><\/li>\n\n\n\n
    • \u7b54\uff1a<\/strong>\u5728NVIDIA\u7684GPU\u4e0a\uff0cCUDA\u901a\u5e38\u63d0\u4f9b\u4f18\u5316\u66f4\u597d\u3001\u6027\u80fd\u66f4\u9ad8\u7684\u89e3\u51b3\u65b9\u6848\uff0c\u56e0\u4e3a\u5b83\u662f\u4e3a\u8fd9\u4e9bGPU\u4e13\u95e8\u8bbe\u8ba1\u7684\u3002\u800cOpenCL\u5728\u4e0d\u540c\u7684\u786c\u4ef6\u4e0a\u53ef\u80fd\u8868\u73b0\u4e0d\u4e00\uff0c\u4f46\u5b83\u63d0\u4f9b\u4e86\u66f4\u597d\u7684\u53ef\u79fb\u690d\u6027\u548c\u7075\u6d3b\u6027\u3002<\/li>\n<\/ul>\n<\/div>\n\n\n\n
      \n
        \n
      • \u95ee\uff1aCUDA\u548cOpenCL\u5404\u81ea\u7684\u5e94\u7528\u573a\u666f\u6709\u54ea\u4e9b\uff1f<\/strong><\/li>\n\n\n\n
      • \u7b54\uff1a<\/strong>CUDA\u7531\u4e8e\u5176\u9ad8\u6027\u80fd\uff0c\u5e38\u7528\u4e8e\u9700\u8981\u5927\u89c4\u6a21\u5e76\u884c\u5904\u7406\u7684\u5e94\u7528\uff0c\u5982\u6df1\u5ea6\u5b66\u4e60\u3001\u79d1\u5b66\u8ba1\u7b97\u548c\u590d\u6742\u7684\u56fe\u5f62\u5904\u7406\u3002OpenCL\u7531\u4e8e\u5176\u8de8\u5e73\u53f0\u7279\u6027\uff0c\u9002\u7528\u4e8e\u9700\u8981\u5728\u4e0d\u540c\u786c\u4ef6\u4e0a\u8fd0\u884c\u7684\u5e94\u7528\uff0c\u5982\u8de8\u54c1\u724c\u7684GPU\u8ba1\u7b97\u548c\u4e0eCPU\u7684\u534f\u540c\u8ba1\u7b97\u3002<\/li>\n<\/ul>\n<\/div>\n\n\n\n
        \n
          \n
        • \u95ee\uff1a\u5f00\u53d1\u8005\u5728\u9009\u62e9CUDA\u548cOpenCL\u65f6\u5e94\u8003\u8651\u54ea\u4e9b\u56e0\u7d20\uff1f<\/strong><\/li>\n\n\n\n
        • \u7b54\uff1a<\/strong>\u5f00\u53d1\u8005\u5728\u9009\u62e9CUDA\u548cOpenCL\u65f6\u5e94\u8003\u8651\u786c\u4ef6\u517c\u5bb9\u6027\u3001\u5e94\u7528\u7684\u7279\u5b9a\u9700\u6c42\u548c\u6027\u80fd\u8981\u6c42\u3002\u5982\u679c\u5f00\u53d1\u8005\u4f7f\u7528\u7684\u662fNVIDIA\u7684GPU\uff0c\u5e76\u4e14\u8ffd\u6c42\u6700\u9ad8\u7684\u6027\u80fd\uff0cCUDA\u53ef\u80fd\u662f\u66f4\u597d\u7684\u9009\u62e9\u3002\u5982\u679c\u9700\u8981\u5728\u4e0d\u540c\u7c7b\u578b\u7684\u786c\u4ef6\u4e0a\u8fd0\u884c\u7a0b\u5e8f\uff0c\u6216\u8005\u4e0d\u4ec5\u4ec5\u5c40\u9650\u4e8eNVIDIA\u7684GPU\uff0c\u90a3\u4e48OpenCL\u53ef\u80fd\u66f4\u5408\u9002\u3002<\/li>\n<\/ul>\n<\/div>\n\n\n\n
          \n
            \n
          • \u95ee\uff1aCUDA\u548cOpenCL\u5728\u5b66\u4e60\u66f2\u7ebf\u548c\u5f00\u53d1\u793e\u533a\u652f\u6301\u65b9\u9762\u6709\u4f55\u4e0d\u540c\uff1f<\/strong><\/li>\n\n\n\n
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