{"id":22617,"date":"2025-07-23T15:35:43","date_gmt":"2025-07-23T07:35:43","guid":{"rendered":"https:\/\/www.varidata.com\/uncategorized-zh-cn\/the-differences-between-gpgpu-and-gpu\/"},"modified":"2025-07-23T15:49:37","modified_gmt":"2025-07-23T07:49:37","slug":"the-differences-between-gpgpu-and-gpu","status":"publish","type":"post","link":"https:\/\/www.varidata.com\/zh-cn\/blog\/the-differences-between-gpgpu-and-gpu\/","title":{"rendered":"GPGPU\u548cGPU\u7684\u533a\u522b\u662f\u4ec0\u4e48\uff1f"},"content":{"rendered":"<br \/>\n<style>\n        table {\n            border-collapse: collapse;\n            width: 100%;\n            max-width: 500px;\n            margin: 20px;\n        }<\/p>\n<p>        table, th, td {\n            border: 1px solid black;\n        }<\/p>\n<p>        th, td {\n            padding: 10px;\n            text-align: left;\n        }<\/p>\n<p>        th {\n            background-color: #f2f2f2;\n        }\n    <\/style>\n<p>GPGPU\u548c<a target=\"_self\" href=\"https:\/\/www.varidata.com\/zh-cn\/hardware\/gpu\/\">GPU<\/a>\u7684\u4e3b\u8981\u533a\u522b\u5728\u4e8e\u5b83\u4eec\u7684\u5de5\u4f5c\u804c\u8d23\u3002GPU\u662f\u4e00\u4e2a\u5b9e\u9645\u7684\u786c\u4ef6\u8bbe\u5907\uff0c\u7528\u4e8e\u5904\u7406\u56fe\u5f62\u548c\u5e76\u884c\u4efb\u52a1\u3002GPGPU\u5219\u610f\u5473\u7740\u5c06GPU\u7528\u4e8e\u56fe\u5f62\u5904\u7406\u4e4b\u5916\u7684\u7528\u9014\u3002\u8bb8\u591a\u4f01\u4e1a\u4f7f\u7528GPGPU\u8fdb\u884c\u4eba\u5de5\u667a\u80fd\u3001\u533b\u7597\u4fdd\u5065\u548c\u91d1\u878d\u7b49\u9886\u57df\u7684\u8fd0\u7b97\u3002\u4e9a\u592a\u5730\u533a\u662fGPGPU\u4f7f\u7528\u6700\u591a\u7684\u5730\u533a\uff0c\u5360\u5e02\u573a\u4efd\u989d\u768437.8%\u3002GPU\u5728\u5bb6\u5ead\u548c\u5c0f\u578b\u4f01\u4e1a\u4e2d\u4ecd\u7136\u5f88\u53d7\u6b22\u8fce\uff0c\u4e3b\u8981\u7528\u4e8e\u6e38\u620f\u548c\u65e5\u5e38\u8ba1\u7b97\u5de5\u4f5c\u3002<\/p>\n<h2>\u4e3b\u8981\u8981\u70b9<\/h2>\n<ul>\n<li>\n<p><a target=\"_blank\" href=\"https:\/\/www.varidata.com\/zh-cn\/blog\/amd-vs-nvidia-which-gpu-is-best-for-gaming-in-2025\/\">GPU\u662f\u8ba1\u7b97\u673a\u4e2d\u7684\u5b9e\u4f53\u82af\u7247<\/a>\uff0c\u7528\u4e8e\u751f\u6210\u56fe\u50cf\u548c\u89c6\u9891\u3002\u5b83\u53ef\u4ee5\u540c\u65f6\u5904\u7406\u591a\u9879\u4efb\u52a1\uff0c\u4e3b\u8981\u7528\u4e8e\u6e38\u620f\u548c\u89c6\u9891\u5904\u7406\u3002<\/p>\n<\/li>\n<li>\n<p>GPGPU\u5229\u7528GPU\u7684\u8ba1\u7b97\u80fd\u529b\u7528\u4e8e\u5176\u4ed6\u4efb\u52a1\uff0c\u5982\u79d1\u5b66\u8ba1\u7b97\u3001\u4eba\u5de5\u667a\u80fd\u548c\u5927\u6570\u636e\u5904\u7406\uff0c\u800c\u4e0d\u4ec5\u4ec5\u5c40\u9650\u4e8e\u56fe\u5f62\u5904\u7406\u3002<\/p>\n<\/li>\n<li>\n<p>\u50cfCUDA\u548cOpenCL\u8fd9\u6837\u7684\u4e13\u4e1a\u5de5\u5177\u5e2e\u52a9\u7a0b\u5e8f\u5458\u5145\u5206\u5229\u7528GPU\u8fdb\u884cGPGPU\u8ba1\u7b97\uff0c\u63d0\u9ad8\u5de5\u4f5c\u6548\u7387\u548c\u6027\u80fd\u3002<\/p>\n<\/li>\n<li>\n<p>GPU\u4e13\u4e3a\u56fe\u5f62\u5904\u7406\u4efb\u52a1\u8bbe\u8ba1\uff0c\u800cGPGPU\u5219\u7528\u4e8e\u590d\u6742\u7684\u6570\u5b66\u8ba1\u7b97\u548c\u6570\u636e\u5904\u7406\uff0c\u5e7f\u6cdb\u5e94\u7528\u4e8e\u533b\u7597\u4fdd\u5065\u548c\u91d1\u878d\u9886\u57df\u3002<\/p>\n<\/li>\n<li>\n<p>\u9009\u62e9GPU\u8fd8\u662fGPGPU\u53d6\u51b3\u4e8e\u5177\u4f53\u9700\u6c42\uff0c\u4e86\u89e3\u5b83\u4eec\u7684\u533a\u522b\u6709\u52a9\u4e8e\u9009\u62e9\u5408\u9002\u7684\u5de5\u5177\u3002<\/p>\n<\/li>\n<\/ul>\n<h2>\u5b9a\u4e49<\/h2>\n<h3>GPU<\/h3>\n<p>\u56fe\u5f62\u5904\u7406\u5355\u5143\uff08GPU\uff09\u662f\u8ba1\u7b97\u673a\u548c\u6e38\u620f\u7cfb\u7edf\u4e2d\u7684\u4e00\u4e2a\u82af\u7247\u3002\u5b83\u8d1f\u8d23\u5728\u5c4f\u5e55\u4e0a\u663e\u793a\u56fe\u7247\u3001\u89c6\u9891\u548c\u52a8\u753b\u3002GPU\u4e0eCPU\u4e0d\u540c\uff0c\u5b83\u5185\u90e8\u5305\u542b\u8bb8\u591a\u5c0f\u578b\u6838\u5fc3\u3002\u8fd9\u4e9b\u6838\u5fc3\u4f7fGPU\u80fd\u591f\u540c\u65f6\u8fdb\u884c\u5927\u91cf\u6570\u5b66\u8fd0\u7b97\uff0c\u4ece\u800c\u5feb\u901f\u5904\u7406\u590d\u6742\u7684\u56fe\u5f62\u4efb\u52a1\u3002<\/p>\n<p>\u6280\u672f\u6587\u732e\u5217\u51fa\u4e86GPU\u7684\u4e00\u4e9b\u4e3b\u8981\u7279\u70b9\uff1a<\/p>\n<ul>\n<li>\n<p>\u62e5\u6709\u6570\u5343\u4e2a\u7b80\u5355\u7684\u6838\u5fc3\uff0c\u53ef\u4ee5\u5e76\u884c\u5904\u7406\u591a\u9879\u4efb\u52a1\u3002<\/p>\n<\/li>\n<li>\n<p>\u5177\u6709\u7279\u6b8a\u5355\u5143\uff0c\u5982\u5f20\u91cf\u6838\u5fc3\u548c\u5149\u7ebf\u8ffd\u8e2a\u6838\u5fc3\uff0c\u7528\u4e8e\u590d\u6742\u7684\u56fe\u5f62\u548cAI\u8fd0\u7b97\u3002<\/p>\n<\/li>\n<li>\n<p>\u4f7f\u7528\u9ad8\u901f\u663e\u5b58\uff08VRAM\uff09\u5b9e\u73b0\u5feb\u901f\u6570\u636e\u8bbf\u95ee\u3002<\/p>\n<\/li>\n<li>\n<p>\u91c7\u7528SIMD\u548cSIMT\u7b49\u6280\u672f\u8fdb\u884c\u5e76\u884c\u4efb\u52a1\u5904\u7406\u3002<\/p>\n<\/li>\n<\/ul>\n<p>GPU\u7684\u8bbe\u8ba1\u6ce8\u91cd\u901f\u5ea6\u548c\u5e76\u884c\u5904\u7406\u80fd\u529b\u3002\u5b83\u4eec\u57283D\u56fe\u5f62\u6e32\u67d3\u3001\u89c6\u9891\u7279\u6548\u548c\u5b9e\u65f6\u5149\u7ebf\u8ffd\u8e2a\u65b9\u9762\u8868\u73b0\u51fa\u8272\u3002\u5728\u6e38\u620f\u4e2d\uff0cGPU\u8d1f\u8d23\u56fe\u5f62\u5904\u7406\uff0c\u800cCPU\u5219\u5904\u7406\u5176\u4ed6\u4efb\u52a1\u3002\u901a\u7528\u56fe\u5f62\u5904\u7406\u5355\u5143\u73b0\u5df2\u5e94\u7528\u4e8e\u591a\u4e2a\u9886\u57df\uff0c\u4e0d\u4ec5\u9650\u4e8e\u56fe\u5f62\u5904\u7406\uff0c\u8fd8\u80fd\u63d0\u5347\u6574\u4f53\u8ba1\u7b97\u6027\u80fd\u3002<\/p>\n<h3>GPGPU<\/h3>\n<p>GPGPU\u6307\u7684\u662f\u5c06\u56fe\u5f62\u5904\u7406\u5355\u5143\u7528\u4e8e\u56fe\u5f62\u5904\u7406\u4e4b\u5916\u7684\u7528\u9014\u3002\u5b83\u8ba9GPU\u80fd\u591f\u534f\u52a9\u5904\u7406\u79d1\u5b66\u3001\u533b\u7597\u548c\u91d1\u878d\u9886\u57df\u7684\u95ee\u9898\u3002\u6839\u636e\u7ef4\u57fa\u767e\u79d1\u548c\u82f1\u7279\u5c14\u7684\u8bf4\u6cd5\uff0cGPGPU\u662f\u4e00\u4e2a\u8f6f\u4ef6\u6982\u5ff5\uff0c\u5b83\u5229\u7528GPU\u7684\u8ba1\u7b97\u80fd\u529b\u8fdb\u884c\u5404\u79cd\u901a\u7528\u8ba1\u7b97\uff0c\u800c\u4e0d\u4ec5\u4ec5\u662f\u56fe\u5f62\u5904\u7406\u3002<\/p>\n<p>GPGPU\u9700\u8981\u7279\u6b8a\u7684\u5de5\u5177\u652f\u6301\uff0c\u5982CUDA\u548cOpenCL\u3002\u8fd9\u4e9b\u5de5\u5177\u5e2e\u52a9\u5f00\u53d1\u4eba\u5458\u4e3aGPU\u7f16\u5199\u4ee3\u7801\u3002\u901a\u7528\u56fe\u5f62\u5904\u7406\u5355\u5143\u53ef\u4ee5\u7528\u4e8e\u533b\u5b66\u56fe\u50cf\u5904\u7406\u3001\u6df1\u5ea6\u5b66\u4e60\u548c\u9ad8\u9891\u4ea4\u6613\u7b49\u4efb\u52a1\u3002GPGPU\u5e76\u4e0d\u662f\u8981\u53d6\u4ee3CPU\uff0c\u800c\u662f\u4e0eCPU\u534f\u540c\u5de5\u4f5c\uff0c\u52a0\u5feb\u5927\u578b\u4efb\u52a1\u7684\u5904\u7406\u901f\u5ea6\u3002\u8fd9\u79cd\u65b9\u5f0f\u53ef\u4ee5\u5e2e\u52a9\u4f01\u4e1a\u66f4\u5feb\u5b8c\u6210\u5de5\u4f5c\uff0c\u964d\u4f4e\u80fd\u8017\u548c\u6210\u672c\u3002<\/p>\n<blockquote>\n<p>\u6ce8\u610f\uff1aGPGPU\u6280\u672f\u5728\u4e0d\u65ad\u8fdb\u6b65\u3002\u65b0\u4e00\u4ee3GPU\uff0c\u5982\u91c7\u7528Blackwell\u67b6\u6784\u7684\u4ea7\u54c1\uff0c\u4e3a\u5404\u7c7b\u8ba1\u7b97\u4efb\u52a1\u63d0\u4f9b\u4e86\u66f4\u5f3a\u5927\u7684\u6027\u80fd\u3002<\/p>\n<\/blockquote>\n<h2>GPGPU\u548cGPU\u7684\u533a\u522b<\/h2>\n<h3>\u7528\u9014<\/h3>\n<p><strong>GPGPU<\/strong>\u548c<strong>GPU<\/strong>\u7684\u4e3b\u8981\u533a\u522b\u5728\u4e8e\u5176\u7528\u9014\u3002<strong>GPU<\/strong>\u662f\u4e00\u4e2a\u786c\u4ef6\u7ec4\u4ef6\uff0c\u7528\u4e8e\u63d0\u4f9b\u9ad8\u8d28\u91cf\u548c\u9ad8\u901f\u7684\u56fe\u5f62\u5904\u7406\u80fd\u529b\u3002\u5b83\u8d1f\u8d23\u5728\u5c4f\u5e55\u4e0a\u7ed8\u5236\u56fe\u50cf\u3001\u89c6\u9891\u548c\u52a8\u753b\u3002\u5236\u9020\u5546\u8bbe\u8ba1<strong>GPU<\/strong>\u65f6\u7740\u91cd\u4e8e\u5e76\u884c\u5904\u7406\u80fd\u529b\uff0c\u8fd9\u6709\u52a9\u4e8e\u63d0\u5347\u6e38\u620f\u548c\u89c6\u9891\u6027\u80fd\u3002\u968f\u7740\u65f6\u95f4\u63a8\u79fb\uff0c<strong>GPU<\/strong>\u7684\u5e94\u7528\u8303\u56f4\u6269\u5927\u5230\u56fe\u5f62\u5904\u7406\u4e4b\u5916\uff0c\u73b0\u5728\u8fd8\u53ef\u4ee5\u7528\u4e8e\u4eba\u5de5\u667a\u80fd\u548c\u79d1\u5b66\u8ba1\u7b97\u3002<\/p>\n<p><strong>GPGPU<\/strong>\u5219\u662f\u5229\u7528<strong>GPU<\/strong>\u8fdb\u884c\u975e\u56fe\u5f62\u5904\u7406\u4efb\u52a1\u7684\u65b9\u6cd5\u3002\u4eba\u4eec\u4f7f\u7528<strong>GPGPU<\/strong>\u89e3\u51b3\u4e0e\u56fe\u5f62\u65e0\u5173\u7684\u95ee\u9898\u3002<strong>GPGPU<\/strong>\u4f7f<strong>GPU<\/strong>\u80fd\u591f\u5904\u7406\u6df1\u5ea6\u5b66\u4e60\u3001\u533b\u5b66\u56fe\u50cf\u548c\u5927\u6570\u636e\u5206\u6790\u3002\u5176\u76ee\u6807\u662f\u5229\u7528<strong>GPU<\/strong>\u52a0\u901f\u5404\u79cd\u8ba1\u7b97\u4efb\u52a1\uff0c\u800c\u4e0d\u4ec5\u4ec5\u662f\u56fe\u5f62\u5904\u7406\u3002<\/p>\n<blockquote>\n<p>\u63d0\u793a\uff1a<strong>GPGPU<\/strong>\u5229\u7528<strong>GPU<\/strong>\u52a0\u901f\u590d\u6742\u7684\u6570\u5b66\u8fd0\u7b97\uff0c\u8fd9\u5728\u79d1\u5b66\u3001\u533b\u7597\u548c\u5546\u4e1a\u9886\u57df\u7279\u522b\u6709\u7528\u3002<\/p>\n<\/blockquote>\n<h3>\u5de5\u4f5c\u8d1f\u8f7d<\/h3>\n<p><strong>GPU<\/strong>\u548c<strong>GPGPU<\/strong>\u7684\u5de5\u4f5c\u4efb\u52a1\u4e0d\u540c\u3002<strong>GPU<\/strong>\u4e3b\u8981\u5904\u7406\u56fe\u5f62\u4efb\u52a1\uff0c\u5305\u62ec3D\u573a\u666f\u6e32\u67d3\u3001\u89c6\u9891\u7279\u6548\u548c\u7528\u6237\u754c\u9762\u663e\u793a\u3002\u6700\u65b0\u7814\u7a76\u8868\u660e\uff0c<strong>GPU<\/strong>\u4e5f\u53ef\u4ee5\u5904\u7406\u590d\u6742\u7684\u6570\u5b66\u8fd0\u7b97\uff0c\u5305\u62ec\u77e9\u9635\u8ba1\u7b97\u3001\u6570\u636e\u5e93\u64cd\u4f5c\u548c\u6df1\u5ea6\u5b66\u4e60\u3002\u4f8b\u5982\uff0c\u50cfBERT\u8fd9\u6837\u7684\u6a21\u578b\u5229\u7528<strong>GPU<\/strong>\u7684\u5f20\u91cf\u6838\u5fc3\u8fdb\u884c\u5feb\u901f\u8bad\u7ec3\u548c\u95ee\u9898\u56de\u7b54\u3002<\/p>\n<p><strong>GPGPU<\/strong>\u7684\u5de5\u4f5c\u4e3b\u8981\u96c6\u4e2d\u5728\u901a\u7528\u8ba1\u7b97\u9886\u57df\u3002\u79d1\u5b66\u5bb6\u4f7f\u7528<strong>GPGPU<\/strong>\u8fdb\u884c\u7269\u7406\u548c\u5de5\u7a0b\u8ba1\u7b97\u3002<strong>GPGPU<\/strong>\u8fd8\u7528\u4e8e\u5927\u6570\u636e\u6a21\u5f0f\u8bc6\u522b\u3002\u8bad\u7ec3\u5927\u578bAI\u6a21\u578b\u4e5f\u662f<strong>GPGPU<\/strong>\u7684\u91cd\u8981\u5e94\u7528\u3002\u8fd9\u4e9b\u4efb\u52a1\u9700\u8981\u9ad8\u901f\u5ea6\u548c\u5e76\u884c\u8ba1\u7b97\u80fd\u529b\uff0c\u800c\u8fd9\u6b63\u662f<strong>GPU<\/strong>\u6240\u64c5\u957f\u7684\u3002<\/p>\n<ul>\n<li>\n<p><strong>GPU\u5de5\u4f5c\u8d1f\u8f7d\uff1a<\/strong><\/p>\n<ul>\n<li>\n<p>\u56fe\u5f62\u6e32\u67d3<\/p>\n<\/li>\n<li>\n<p>\u89c6\u9891\u64ad\u653e<\/p>\n<\/li>\n<li>\n<p>\u6e38\u620f\u56fe\u5f62<\/p>\n<\/li>\n<li>\n<p>\u77e9\u9635\u8fd0\u7b97<\/p>\n<\/li>\n<li>\n<p>\u6df1\u5ea6\u5b66\u4e60\u63a8\u7406<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<li>\n<p><strong>GPGPU\u5de5\u4f5c\u8d1f\u8f7d\uff1a<\/strong><\/p>\n<ul>\n<li>\n<p>\u79d1\u5b66\u6a21\u62df<\/p>\n<\/li>\n<li>\n<p>\u533b\u5b66\u56fe\u50cf\u5904\u7406<\/p>\n<\/li>\n<li>\n<p>\u5927\u89c4\u6a21AI\u6a21\u578b\u8bad\u7ec3<\/p>\n<\/li>\n<li>\n<p>\u6570\u636e\u5206\u6790<\/p>\n<\/li>\n<li>\n<p>\u91d1\u878d\u98ce\u9669\u5efa\u6a21<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h3>\u786c\u4ef6\u4e0e\u4f7f\u7528\u65b9\u5f0f<\/h3>\n<p><strong>GPU<\/strong>\u548c<strong>GPGPU<\/strong>\u5728\u786c\u4ef6\u548c\u4f7f\u7528\u65b9\u5f0f\u4e0a\u6709\u6240\u4e0d\u540c\u3002<strong>GPU<\/strong>\u662f\u8ba1\u7b97\u673a\u6216\u6e38\u620f\u7cfb\u7edf\u4e2d\u7684\u5b9e\u4f53\u82af\u7247\uff0c\u5305\u542b\u591a\u4e2a\u534f\u540c\u5de5\u4f5c\u7684\u5c0f\u578b\u6838\u5fc3\u3002\u67d0\u4e9b<strong>GPU<\/strong>\u8fd8\u914d\u5907\u4e86\u4e13\u95e8\u7528\u4e8eAI\u548c\u5149\u7167\u8ba1\u7b97\u7684\u7279\u6b8a\u5355\u5143\u3002<\/p>\n<p><strong>GPGPU<\/strong>\u4e0d\u662f\u4e00\u4e2a\u5b9e\u4f53\u82af\u7247\uff0c\u800c\u662f\u4e00\u79cd\u4f7f\u7528<strong>GPU<\/strong>\u8fdb\u884c\u975e\u56fe\u5f62\u8ba1\u7b97\u7684\u65b9\u6cd5\u3002\u8fd9\u9700\u8981\u7279\u6b8a\u7684\u5de5\u5177\u548cAPI\u652f\u6301\u3002\u5f00\u53d1\u8005\u4f7f\u7528CUDA\u3001OpenCL\u7b49\u5de5\u5177\u4e3a<strong>GPGPU<\/strong>\u7f16\u5199\u7a0b\u5e8f\u3002\u8fd9\u4e9b\u5de5\u5177\u4f7f<strong>GPU<\/strong>\u548cCPU\u80fd\u591f\u5171\u4eab\u6570\u636e\u5e76\u66f4\u5feb\u5730\u5b8c\u6210\u4efb\u52a1\u3002<\/p>\n<div fullwidth=\"\" class=\"qc-default-table-wrapper \">\n<table style=\"min-width: 75px;\">\n<colgroup>\n<col style=\"min-width: 25px;\">\n<col style=\"min-width: 25px;\">\n<col style=\"min-width: 25px;\">\n<\/colgroup>\n<tbody>\n<tr>\n<th colspan=\"1\" rowspan=\"1\">\n<p>\u65b9\u9762<\/p>\n<\/th>\n<th colspan=\"1\" rowspan=\"1\">\n<p>GPU\uff08\u786c\u4ef6\uff09<\/p>\n<\/th>\n<th colspan=\"1\" rowspan=\"1\">\n<p>GPGPU\uff08\u8ba1\u7b97\u65b9\u6cd5\uff09<\/p>\n<\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u672c\u8d28<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u7528\u4e8e\u56fe\u5f62\u5904\u7406\u7684\u7269\u7406\u82af\u7247<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u901a\u7528\u8ba1\u7b97\u7684\u4f7f\u7528\u65b9\u5f0f<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u4e3b\u8981\u7528\u9014<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u56fe\u5f62\u6e32\u67d3<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u9ad8\u6027\u80fd\u8ba1\u7b97<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u7f16\u7a0b\u65b9\u5f0f<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u56fe\u5f62API\uff08DirectX, OpenGL\uff09<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>CUDA, OpenCL, TensorFlow, PyTorch<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u6570\u636e\u4f20\u8f93<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u4e3b\u8981\u5355\u5411\uff08CPU\u5230GPU\uff09<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u53cc\u5411\uff0c\u4f7f\u7528PCIe, NVLink, NCCL<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p>\u73b0\u4ee3<strong>GPGPU<\/strong>\u652f\u6301\u53cc\u5411\u6570\u636e\u4f20\u8f93\u3002CUDA\u548cOpenCL\u7b49API\u5e2e\u52a9CPU\u548c<strong>GPU<\/strong>\u4e4b\u95f4\u5feb\u901f\u4f20\u8f93\u6570\u636e\u3002NVLink\u548cGPUDirect\u7b49\u6280\u672f\u5141\u8bb8<strong>GPU<\/strong>\u4e4b\u95f4\u76f4\u63a5\u901a\u4fe1\u3002\u8fd9\u63d0\u9ad8\u4e86\u4efb\u52a1\u5904\u7406\u901f\u5ea6\u5e76\u51cf\u5c11\u4e86\u7b49\u5f85\u65f6\u95f4\u3002\u8fd9\u4e9b\u7279\u6027\u4f7f<strong>GPGPU<\/strong>\u6210\u4e3a\u591a\u79cd\u4efb\u52a1\u7684\u5f3a\u5927\u5de5\u5177\u3002<\/p>\n<blockquote>\n<p>\u6ce8\u610f\uff1a<strong>GPGPU<\/strong>\u548c<strong>GPU<\/strong>\u7684\u533a\u522b\u5177\u6709\u91cd\u8981\u610f\u4e49\u3002\u8fd9\u6539\u53d8\u4e86\u4eba\u4eec\u5728\u79d1\u5b66\u3001\u5546\u4e1a\u548c\u65e5\u5e38\u751f\u6d3b\u4e2d\u4f7f\u7528\u8ba1\u7b97\u673a\u7684\u65b9\u5f0f\u3002<strong>GPGPU<\/strong>\u4f7f<strong>GPU<\/strong>\u80fd\u591f\u5e2e\u52a9\u89e3\u51b3\u590d\u6742\u95ee\u9898\uff0c\u800c\u4e0d\u4ec5\u4ec5\u662f\u5904\u7406\u56fe\u5f62\u3002<\/p>\n<\/blockquote>\n<h2>\u5e94\u7528\u9886\u57df<\/h2>\n<h3>GPU\u5e94\u7528<\/h3>\n<p>GPU\u5728\u6e38\u620f\u548c\u7535\u5b50\u4ea7\u54c1\u4e2d\u53d1\u6325\u7740\u91cd\u8981\u4f5c\u7528\u3002\u4eba\u4eec\u5728\u73a9\u6e38\u620f\u6216\u89c2\u770b\u89c6\u9891\u65f6\u6700\u80fd\u611f\u53d7\u5230GPU\u7684\u5b58\u5728\u3002GPU\u8d1f\u8d23\u7ed8\u5236\u56fe\u50cf\u5e76\u5728\u5c4f\u5e55\u4e0a\u79fb\u52a8\u56fe\u50cf\u3002\u8fd9\u4f7f\u6e38\u620f\u753b\u9762\u6d41\u7545\u903c\u771f\u3002\u827a\u672f\u5bb6\u4f7f\u7528GPU\u8fdb\u884c\u89c6\u9891\u7f16\u8f91\u548c\u6570\u5b57\u827a\u672f\u521b\u4f5c\u3002GPU\u80fd\u591f\u540c\u65f6\u5904\u7406\u591a\u9879\u4efb\u52a1\uff0c\u8fd9\u6709\u52a9\u4e8e\u5b9e\u73b0\u70ab\u9177\u7684\u7279\u6548\u548c\u6d41\u7545\u7684\u89c6\u9891\u64ad\u653e\u3002<\/p>\n<ul>\n<li>\n<p>\u6e38\u620f\u7cfb\u7edf\u548c\u8ba1\u7b97\u673a\u4f7f\u7528GPU\u5b9e\u73b0\u6e05\u6670\u7684\u56fe\u5f62\u663e\u793a\u3002<\/p>\n<\/li>\n<li>\n<p>\u89c6\u9891\u7f16\u8f91\u4eba\u5458\u9700\u8981GPU\u6765\u5b9e\u73b0\u6d41\u7545\u7684\u89c6\u9891\u5904\u7406\u548c\u5feb\u901f\u7f16\u8f91\u3002<\/p>\n<\/li>\n<li>\n<p>\u624b\u673a\u548c\u5e73\u677f\u7535\u8111\u4f7f\u7528GPU\u8fd0\u884c\u6e38\u620f\u548c\u754c\u9762\u3002<\/p>\n<\/li>\n<li>\n<p>\u865a\u62df\u73b0\u5b9e\u8bbe\u5907\u9700\u8981\u5f3a\u5927\u7684GPU\u63d0\u4f9b\u6c89\u6d78\u5f0f\u4f53\u9a8c\u3002<\/p>\n<\/li>\n<\/ul>\n<p>\u867d\u7136GPU\u73b0\u5728\u627f\u62c5\u4e86\u66f4\u591a\u4efb\u52a1\uff0c\u4f46\u5176\u4e3b\u8981\u804c\u8d23\u4ecd\u7136\u662f\u56fe\u5f62\u5904\u7406\u3002\u5b83\u4eec\u4e3a\u5f53\u4eca\u7684\u5a31\u4e50\u6d3b\u52a8\u63d0\u4f9b\u6240\u9700\u7684\u901f\u5ea6\u548c\u6027\u80fd\u3002<\/p>\n<h3>GPGPU\u5e94\u7528<\/h3>\n<p>GPGPU\u5c06GPU\u7528\u4e8e\u56fe\u5f62\u5904\u7406\u4e4b\u5916\u7684\u9886\u57df\u3002\u79d1\u5b66\u5bb6\u4f7f\u7528GPGPU\u8fdb\u884c\u7269\u7406\u548c\u5316\u5b66\u5b9e\u9a8c\u6a21\u62df\u3002\u673a\u5668\u5b66\u4e60\u4e13\u5bb6\u4f7f\u7528GPGPU\u8bad\u7ec3\u6df1\u5ea6\u6a21\u578b\u3002\u901a\u8fc7\u5e76\u884c\u5904\u7406\u5927\u91cf\u6570\u5b66\u8fd0\u7b97\uff0c\u8fd9\u5927\u5927\u52a0\u5feb\u4e86\u8bad\u7ec3\u901f\u5ea6\u3002\u6570\u636e\u4e13\u5bb6\u4f7f\u7528GPGPU\u5206\u6790\u5927\u578b\u6570\u636e\u96c6\uff0c\u8fd9\u6709\u52a9\u4e8e\u53d1\u73b0\u91d1\u878d\u548c\u57fa\u56e0\u7ec4\u5b66\u4e2d\u7684\u6a21\u5f0f\u3002<\/p>\n<ul>\n<li>\n<p>\u4f7f\u7528GPGPU\u8bad\u7ec3\u7684\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u901f\u5ea6\u6bd4\u4ec5\u4f7f\u7528CPU\u5feb\u5341\u500d\u4ee5\u4e0a\u3002<\/p>\n<\/li>\n<li>\n<p>\u5929\u6c14\u9884\u62a5\u6216\u533b\u5b66\u7814\u7a76\u7b49\u79d1\u5b66\u5b9e\u9a8c\u4f7f\u7528GPGPU\u8fdb\u884c\u590d\u6742\u8ba1\u7b97\u3002<\/p>\n<\/li>\n<li>\n<p>\u5feb\u901f\u7684\u5546\u4e1a\u548c\u5065\u5eb7\u68c0\u67e5\u5229\u7528GPGPU\u83b7\u5f97\u5feb\u901f\u7ed3\u679c\u3002<\/p>\n<\/li>\n<li>\n<p>\u50cfOpenAI\u8fd9\u6837\u7684\u5927\u516c\u53f8\u4f7f\u7528\u591a\u4e2aGPU\u8fdb\u884c\u5927\u89c4\u6a21AI\u9879\u76ee\u3002<\/p>\n<\/li>\n<\/ul>\n<div fullwidth=\"\" class=\"qc-default-table-wrapper \">\n<table style=\"min-width: 50px;\">\n<colgroup>\n<col style=\"min-width: 25px;\">\n<col style=\"min-width: 25px;\">\n<\/colgroup>\n<tbody>\n<tr>\n<th colspan=\"1\" rowspan=\"1\">\n<p>\u9886\u57df<\/p>\n<\/th>\n<th colspan=\"1\" rowspan=\"1\">\n<p>GPGPU\u5e94\u7528\u793a\u4f8b<\/p>\n<\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u673a\u5668\u5b66\u4e60<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u8bad\u7ec3\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u79d1\u5b66\u7814\u7a76<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u7269\u7406\u548c\u5316\u5b66\u6a21\u62df<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u91d1\u878d<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u5927\u6570\u636e\u5206\u6790\u548c\u98ce\u9669\u5efa\u6a21<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u533b\u7597\u4fdd\u5065<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u533b\u5b66\u56fe\u50cf\u5904\u7406<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p>\u968f\u7740\u65b0\u6280\u672f\u7684\u51fa\u73b0\uff0cGPGPU\u7684\u5e94\u7528\u8303\u56f4\u4e0d\u65ad\u6269\u5927\u3002\u4e13\u7528AI\u82af\u7247\u3001\u8282\u80fd\u6280\u672f\u548c\u8fb9\u7f18\u8ba1\u7b97\u5c06\u6539\u53d8GPGPU\u672a\u6765\u7684\u5de5\u4f5c\u65b9\u5f0f\u3002<\/p>\n<h2>\u91cd\u8981\u6027<\/h2>\n<h3>\u5bf9\u8f6f\u4ef6\u7684\u5f71\u54cd<\/h3>\n<p>GPU\u548cGPGPU\u7684\u533a\u522b\u6539\u53d8\u4e86\u8f6f\u4ef6\u5f00\u53d1\u65b9\u5f0f\u3002\u8fc7\u53bb\uff0c\u5f00\u53d1\u8005\u53ea\u5c06GPU\u7528\u4e8e\u56fe\u5f62\u5904\u7406\uff0c\u5fc5\u987b\u4f7f\u7528Direct3D\u6216OpenGL\u7b49\u56fe\u5f62API\u3002\u8fd9\u4f7f\u5f97GPU\u96be\u4ee5\u7528\u4e8e\u5176\u4ed6\u4efb\u52a1\u3002GPGPU\u5e26\u6765\u4e86CUDA\u548cOpenCL\u7b49\u65b0\u5de5\u5177\uff0c\u8ba9\u5f00\u53d1\u8005\u80fd\u591f\u5c06GPU\u7528\u4e8e\u5404\u79cd\u8ba1\u7b97\u4efb\u52a1\u3002<\/p>\n<ul>\n<li>\n<p>\u53ef\u7f16\u7a0bGPU\u8bbe\u8ba1\u73b0\u5728\u5728\u79d1\u5b66\u3001\u91d1\u878d\u548c\u8ba1\u7b97\u673a\u89c6\u89c9\u9886\u57df\u53d1\u6325\u4f5c\u7528\u3002<\/p>\n<\/li>\n<li>\n<p>\u5f00\u53d1\u8005\u53ef\u4ee5\u4f7f\u7528\u66f4\u7b80\u5355\u7684API\u6765\u63d0\u9ad8\u4ee3\u7801\u6027\u80fd\u3002<\/p>\n<\/li>\n<li>\n<p>GPGPU\u7f16\u7a0b\u4ecd\u9762\u4e34\u5185\u5b58\u7ba1\u7406\u548c\u4efb\u52a1\u4f18\u5316\u7b49\u6311\u6218\u3002<\/p>\n<\/li>\n<li>\n<p>\u65b0\u5de5\u5177\u548c\u6a21\u578b\u4e0d\u65ad\u6539\u8fdb\uff0c\u4f7fGPGPU\u66f4\u6613\u4f7f\u7528\u3002<\/p>\n<\/li>\n<\/ul>\n<blockquote>\n<p>\u5f00\u53d1\u8005\u548c\u7814\u7a76\u4eba\u5458\u5fc5\u987b\u786e\u4fdd\u9a71\u52a8\u7a0b\u5e8f\u3001\u64cd\u4f5c\u7cfb\u7edf\u548c\u8f6f\u4ef6\u7684\u517c\u5bb9\u6027\u3002\u4f7f\u7528OpenCL\u7b49\u5f00\u653e\u6807\u51c6\u6709\u52a9\u4e8e\u907f\u514d\u88ab\u5355\u4e00\u5382\u5546\u9650\u5236\u3002NVIDIA\u7684CUDA\u7b49\u6210\u719f\u751f\u6001\u7cfb\u7edf\u5bf9\u957f\u671f\u652f\u6301\u5f88\u91cd\u8981\u3002<\/p>\n<\/blockquote>\n<p>\u8bb8\u591a\u65b0\u5f00\u53d1\u8005\u8ba4\u4e3aCUDA\u4e0d\u5c5e\u4e8eGPGPU\uff0c\u4f46\u5b9e\u9645\u4e0aCUDA\u662fGPGPU\u4efb\u52a1\u7684\u91cd\u8981\u5de5\u5177\u3002\u73b0\u4ee3GPU\u652f\u6301\u66f4\u590d\u6742\u7684\u7f16\u7a0b\uff0c\u5982\u9012\u5f52\u548cGPU\u4e4b\u95f4\u7684\u76f4\u63a5\u901a\u4fe1\u3002<\/p>\n<h3>\u786c\u4ef6\u9009\u62e9<\/h3>\n<p>\u9009\u62e9GPU\u548cGPGPU\u786c\u4ef6\u53d6\u51b3\u4e8e\u5177\u4f53\u4efb\u52a1\u3002\u4f01\u4e1a\u9700\u8981\u8003\u8651\u901f\u5ea6\u3001\u6210\u672c\u3001\u89c4\u6a21\u548c\u80fd\u8017\u3002\u673a\u67b6\u5f0f\u670d\u52a1\u5668\u9002\u5408\u5927\u578b\u6570\u636e\u4e2d\u5fc3\uff0c\u53ef\u5bb9\u7eb3\u591a\u4e2aGPU\u3002\u5854\u5f0f\u670d\u52a1\u5668\u66f4\u9002\u5408\u5c0f\u578b\u529e\u516c\u5ba4\uff0c\u6210\u672c\u8f83\u4f4e\u3002CPU\u548cGPU\u7684\u7c7b\u578b\u5bf9\u6027\u80fd\u4e5f\u5f88\u91cd\u8981\u3002<\/p>\n<ul>\n<li>\n<p>\u67d0\u4e9b\u4efb\u52a1\u9700\u8981\u50cfNvidia H100\u6216A100\u8fd9\u6837\u7684\u9ad8\u6027\u80fdGPU\u3002<\/p>\n<\/li>\n<li>\n<p>\u673a\u67b6\u5f0f\u670d\u52a1\u5668\u53ef\u4ee5\u6dfb\u52a0\u66f4\u591aGPU\u4ee5\u5904\u7406\u66f4\u5927\u7684\u4efb\u52a1\u3002<\/p>\n<\/li>\n<li>\n<p>\u5854\u5f0f\u670d\u52a1\u5668\u6210\u672c\u8f83\u4f4e\u4f46GPU\u6570\u91cf\u6709\u9650\u3002<\/p>\n<\/li>\n<li>\n<p>\u6570\u636e\u4e2d\u5fc3\u4f7f\u7528\u5e26\u5f3a\u529b\u6563\u70ed\u7684\u673a\u67b6\u5f0f\u670d\u52a1\u5668\uff1b\u529e\u516c\u5ba4\u4f7f\u7528\u5e26\u5185\u7f6e\u6563\u70ed\u7684\u5854\u5f0f\u670d\u52a1\u5668\u3002<\/p>\n<\/li>\n<li>\n<p>CUDA\u7b49\u5de5\u5177\u6709\u52a9\u4e8e\u83b7\u5f97\u6700\u4f73\u6027\u80fd\u3002<\/p>\n<\/li>\n<\/ul>\n<div fullwidth=\"\" class=\"qc-default-table-wrapper \">\n<table style=\"min-width: 75px;\">\n<colgroup>\n<col style=\"min-width: 25px;\">\n<col style=\"min-width: 25px;\">\n<col style=\"min-width: 25px;\">\n<\/colgroup>\n<tbody>\n<tr>\n<th colspan=\"1\" rowspan=\"1\">\n<p>\u6210\u672c\u56e0\u7d20<\/p>\n<\/th>\n<th colspan=\"1\" rowspan=\"1\">\n<p>\u672c\u5730GPU\u96c6\u7fa4<\/p>\n<\/th>\n<th colspan=\"1\" rowspan=\"1\">\n<p>\u4e91GPU\u89e3\u51b3\u65b9\u6848<\/p>\n<\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u521d\u59cb\u786c\u4ef6<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>GPU\u3001\u670d\u52a1\u5668\u3001\u7f51\u7edc\u8bbe\u5907\u7684\u9ad8\u989d\u524d\u671f\u6210\u672c<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u65e0\u524d\u671f\u6210\u672c\uff0c\u6309\u4f7f\u7528\u4ed8\u8d39<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u57fa\u7840\u8bbe\u65bd\u642d\u5efa<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u9700\u8981\u573a\u5730\u3001\u7535\u529b\u548c\u6563\u70ed<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u65e0\u642d\u5efa\u6210\u672c\uff0c\u670d\u52a1\u5546\u7ba1\u7406\u8d44\u6e90<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u4eba\u5458\u6210\u672c<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u9700\u8981IT\u4eba\u5458\u7ef4\u62a4\u548c\u68c0\u67e5<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u6240\u9700IT\u4eba\u5458\u8f83\u5c11<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u7ef4\u62a4\u548c\u5347\u7ea7<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u786c\u4ef6\u9700\u8981\u66f4\u65b0\u548c\u7ef4\u4fee<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u4e91\u670d\u52a1\u5546\u8d1f\u8d23\u66f4\u65b0<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u8fd0\u8425\u6210\u672c<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u6708\u5ea6\u6210\u672c\u56fa\u5b9a<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u6210\u672c\u968f\u4f7f\u7528\u91cf\u53d8\u5316<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u7075\u6d3b\u6027\u548c\u6269\u5c55\u6027<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u53d7\u9650\u4e8e\u73b0\u6709\u8bbe\u5907<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u53ef\u6839\u636e\u9700\u8981\u8f7b\u677e\u6269\u5c55\u6216\u7f29\u51cf<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u6708\u5ea6\u6210\u672c\u4f30\u7b97<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u9ad8\u4e14\u56fa\u5b9a<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u968f\u4f7f\u7528\u91cf\u53d8\u5316<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p>\u7814\u7a76\u4eba\u5458\u548c\u5f00\u53d1\u8005\u5fc5\u987b\u5c06\u5de5\u4f5c\u9700\u6c42\u4e0e\u5408\u9002\u7684\u786c\u4ef6\u5339\u914d\u3002\u4ed6\u4eec\u9700\u8981\u8bc4\u4f30\u6027\u80fd\u3001\u80fd\u8017\u548c\u6210\u672c\u3002\u9009\u62e9\u5408\u9002\u7684\u65b9\u6848\u610f\u5473\u7740\u66f4\u5feb\u7684\u7ed3\u679c\u3001\u66f4\u4f4e\u7684\u6210\u672c\u548c\u66f4\u597d\u7684\u8d44\u6e90\u5229\u7528\u3002\u8fd9\u6709\u52a9\u4e8e\u4ece\u5b66\u751f\u5230\u5927\u516c\u53f8\u5728\u6280\u672f\u9009\u62e9\u4e0a\u505a\u51fa\u660e\u667a\u7684\u51b3\u5b9a\u3002<\/p>\n<div dividerstyle=\"solid\" size=\"large\" color=\"#D1D1D1\" class=\"qc-divider-wrapper\">\n<div class=\"qc-divider\" style=\"border-top-style: solid; width: 100%; border-top-color: rgb(209, 209, 209);\"><\/div>\n<\/div>\n<p>GPU\u8d1f\u8d23\u5904\u74062D\u548c3D\u56fe\u5f62\u7b49\u56fe\u5f62\u4efb\u52a1\u3002GPGPU\u5229\u7528GPU\u7684\u4f17\u591a\u6838\u5fc3\u8fdb\u884c\u79d1\u5b66\u8ba1\u7b97\u3001\u673a\u5668\u5b66\u4e60\u548c\u6570\u636e\u5904\u7406\u3002CUDA\u548cOpenCL\u5e2e\u52a9\u4eba\u4eec\u4e3a\u8fd9\u4e9b\u4efb\u52a1\u7f16\u5199\u7a0b\u5e8f\u3002\u8c08\u5230\u786c\u4ef6\u90e8\u4ef6\u65f6\u4f7f\u7528&#8221;GPU&#8221;\u4e00\u8bcd\uff0c\u8c08\u5230\u5c06\u5176\u7528\u4e8e\u56fe\u5f62\u4e4b\u5916\u7684\u4efb\u52a1\u65f6\u4f7f\u7528&#8221;GPGPU&#8221;\u4e00\u8bcd\u3002<\/p>\n<blockquote>\n<p>\u59cb\u7ec8\u786e\u8ba4\u662f\u9700\u8981\u56fe\u5f62\u5904\u7406\u8fd8\u662f\u901a\u7528\u8ba1\u7b97\uff0c\u8fd9\u6709\u52a9\u4e8e\u9009\u62e9\u6700\u9002\u5408\u5de5\u4f5c\u7684\u786c\u4ef6\u548c\u8f6f\u4ef6\u3002<\/p>\n<\/blockquote>\n<h2>\u5e38\u89c1\u95ee\u9898<\/h2>\n<h3>GPU\u7684\u4e3b\u8981\u4efb\u52a1\u662f\u4ec0\u4e48\uff1f<\/h3>\n<p>GPU\u8d1f\u8d23\u5728\u5c4f\u5e55\u4e0a\u7ed8\u5236\u56fe\u50cf\u548c\u89c6\u9891\u3002\u5b83\u5e2e\u52a9\u6e38\u620f\u548c\u7535\u5f71\u753b\u9762\u6d41\u7545\u663e\u793a\u3002\u8bb8\u591a\u8ba1\u7b97\u673a\u4f7f\u7528GPU\u5b9e\u73b0\u5feb\u901f\u56fe\u5f62\u5904\u7406\u3002<\/p>\n<h3>GPGPU\u5982\u4f55\u5e2e\u52a9\u79d1\u5b66\u7814\u7a76\uff1f<\/h3>\n<p>GPGPU\u8ba9\u79d1\u5b66\u5bb6\u80fd\u591f\u4f7f\u7528GPU\u8fdb\u884c\u6570\u5b66\u548c\u6570\u636e\u5904\u7406\u3002\u8fd9\u4f7f\u5b9e\u9a8c\u548c\u6a21\u578b\u8fd0\u884c\u66f4\u5feb\u3002\u8bb8\u591a\u5b9e\u9a8c\u5ba4\u5c06GPGPU\u7528\u4e8e\u7814\u7a76\u5de5\u4f5c\u3002<\/p>\n<h3>\u6240\u6709GPU\u90fd\u80fd\u6267\u884cGPGPU\u4efb\u52a1\u5417\uff1f<\/h3>\n<p>\u5e76\u975e\u6240\u6709GPU\u90fd\u652f\u6301GPGPU\u3002\u4e00\u4e9b\u8f83\u65e7\u6216\u57fa\u7840\u7684GPU\u65e0\u6cd5\u8fd0\u884c\u901a\u7528\u8ba1\u7b97\u4ee3\u7801\u3002\u5927\u591a\u6570\u6765\u81eaNVIDIA\u548cAMD\u7684\u73b0\u4ee3GPU\u90fd\u901a\u8fc7CUDA\u6216OpenCL\u652f\u6301GPGPU\u3002<\/p>\n<h3>\u54ea\u4e9b\u8f6f\u4ef6\u6709\u52a9\u4e8eGPGPU\u7f16\u7a0b\uff1f<\/h3>\n<p>\u5f00\u53d1\u8005\u4f7f\u7528CUDA\u3001OpenCL\u548cTensorFlow\u8fdb\u884cGPGPU\u7f16\u7a0b\u3002\u8fd9\u4e9b\u5de5\u5177\u8ba9GPU\u80fd\u591f\u89e3\u51b3\u5404\u79cd\u95ee\u9898\uff0c\u800c\u4e0d\u4ec5\u4ec5\u662f\u56fe\u5f62\u5904\u7406\u3002<\/p>\n<h3>\u4e3a\u4ec0\u4e48\u4f01\u4e1a\u5728AI\u9886\u57df\u4f7f\u7528GPGPU\uff1f<\/h3>\n<p>\u4f01\u4e1a\u4f7f\u7528GPGPU\u8fdb\u884cAI\u5f00\u53d1\u662f\u56e0\u4e3a\u5b83\u80fd\u52a0\u5feb\u8bad\u7ec3\u548c\u6d4b\u8bd5\u901f\u5ea6\u3002GPU\u80fd\u591f\u540c\u65f6\u5904\u7406\u591a\u9879\u4efb\u52a1\uff0c\u8fd9\u6709\u52a9\u4e8e\u5feb\u901f\u6784\u5efa\u66f4\u667a\u80fd\u7684AI\u6a21\u578b\u3002<\/p>\n<\/p><\/div>\n","protected":false},"excerpt":{"rendered":"<p>GPGPU\u548cGPU\u7684\u4e3b\u8981\u533a\u522b\u5728\u4e8e\u5b83\u4eec\u7684\u5de5\u4f5c\u804c\u8d23\u3002GPU\u662f\u4e00\u4e2a\u5b9e\u9645\u7684\u786c\u4ef6\u8bbe\u5907\uff0c\u7528\u4e8e\u5904\u7406\u56fe\u5f62\u548c\u5e76\u884c\u4efb\u52a1\u3002GPGPU\u5219\u610f\u5473\u7740\u5c06GPU\u7528\u4e8e\u56fe\u5f62\u5904\u7406\u4e4b\u5916\u7684\u7528\u9014\u3002\u8bb8\u591a\u4f01\u4e1a\u4f7f\u7528GPGPU\u8fdb\u884c\u4eba\u5de5\u667a\u80fd\u3001\u533b\u7597\u4fdd\u5065\u548c\u91d1\u878d\u7b49\u9886\u57df\u7684\u8fd0\u7b97\u3002\u4e9a\u592a\u5730\u533a\u662fGPGPU\u4f7f\u7528\u6700\u591a\u7684\u5730\u533a\uff0c\u5360\u5e02\u573a\u4efd\u989d\u768437.8%\u3002GPU\u5728\u5bb6\u5ead\u548c\u5c0f\u578b\u4f01\u4e1a\u4e2d\u4ecd\u7136\u5f88\u53d7\u6b22\u8fce\uff0c\u4e3b\u8981\u7528\u4e8e\u6e38\u620f\u548c\u65e5\u5e38\u8ba1\u7b97\u5de5\u4f5c\u3002 \u4e3b\u8981\u8981\u70b9 GPU\u662f\u8ba1\u7b97\u673a\u4e2d\u7684\u5b9e\u4f53\u82af\u7247\uff0c\u7528\u4e8e\u751f\u6210\u56fe\u50cf\u548c\u89c6\u9891\u3002\u5b83\u53ef\u4ee5\u540c\u65f6\u5904\u7406\u591a\u9879\u4efb\u52a1\uff0c\u4e3b\u8981\u7528\u4e8e\u6e38\u620f\u548c\u89c6\u9891\u5904\u7406\u3002 GPGPU\u5229\u7528GPU\u7684\u8ba1\u7b97\u80fd\u529b\u7528\u4e8e\u5176\u4ed6\u4efb\u52a1\uff0c\u5982\u79d1\u5b66\u8ba1\u7b97\u3001\u4eba\u5de5\u667a\u80fd\u548c\u5927\u6570\u636e\u5904\u7406\uff0c\u800c\u4e0d\u4ec5\u4ec5\u5c40\u9650\u4e8e\u56fe\u5f62\u5904\u7406\u3002 \u50cfCUDA\u548cOpenCL\u8fd9\u6837\u7684\u4e13\u4e1a\u5de5\u5177\u5e2e\u52a9\u7a0b\u5e8f\u5458\u5145\u5206\u5229\u7528GPU\u8fdb\u884cGPGPU\u8ba1\u7b97\uff0c\u63d0\u9ad8\u5de5\u4f5c\u6548\u7387\u548c\u6027\u80fd\u3002 GPU\u4e13\u4e3a\u56fe\u5f62\u5904\u7406\u4efb\u52a1\u8bbe\u8ba1\uff0c\u800cGPGPU\u5219\u7528\u4e8e\u590d\u6742\u7684\u6570\u5b66\u8ba1\u7b97\u548c\u6570\u636e\u5904\u7406\uff0c\u5e7f\u6cdb\u5e94\u7528\u4e8e\u533b\u7597\u4fdd\u5065\u548c\u91d1\u878d\u9886\u57df\u3002 \u9009\u62e9GPU\u8fd8\u662fGPGPU\u53d6\u51b3\u4e8e\u5177\u4f53\u9700\u6c42\uff0c\u4e86\u89e3\u5b83\u4eec\u7684\u533a\u522b\u6709\u52a9\u4e8e\u9009\u62e9\u5408\u9002\u7684\u5de5\u5177\u3002 \u5b9a\u4e49 GPU \u56fe\u5f62\u5904\u7406\u5355\u5143\uff08GPU\uff09\u662f\u8ba1\u7b97\u673a\u548c\u6e38\u620f\u7cfb\u7edf\u4e2d\u7684\u4e00\u4e2a\u82af\u7247\u3002\u5b83\u8d1f\u8d23\u5728\u5c4f\u5e55\u4e0a\u663e\u793a\u56fe\u7247\u3001\u89c6\u9891\u548c\u52a8\u753b\u3002GPU\u4e0eCPU\u4e0d\u540c\uff0c\u5b83\u5185\u90e8\u5305\u542b\u8bb8\u591a\u5c0f\u578b\u6838\u5fc3\u3002\u8fd9\u4e9b\u6838\u5fc3\u4f7fGPU\u80fd\u591f\u540c\u65f6\u8fdb\u884c\u5927\u91cf\u6570\u5b66\u8fd0\u7b97\uff0c\u4ece\u800c\u5feb\u901f\u5904\u7406\u590d\u6742\u7684\u56fe\u5f62\u4efb\u52a1\u3002 \u6280\u672f\u6587\u732e\u5217\u51fa\u4e86GPU\u7684\u4e00\u4e9b\u4e3b\u8981\u7279\u70b9\uff1a \u62e5\u6709\u6570\u5343\u4e2a\u7b80\u5355\u7684\u6838\u5fc3\uff0c\u53ef\u4ee5\u5e76\u884c\u5904\u7406\u591a\u9879\u4efb\u52a1\u3002 \u5177\u6709\u7279\u6b8a\u5355\u5143\uff0c\u5982\u5f20\u91cf\u6838\u5fc3\u548c\u5149\u7ebf\u8ffd\u8e2a\u6838\u5fc3\uff0c\u7528\u4e8e\u590d\u6742\u7684\u56fe\u5f62\u548cAI\u8fd0\u7b97\u3002 \u4f7f\u7528\u9ad8\u901f\u663e\u5b58\uff08VRAM\uff09\u5b9e\u73b0\u5feb\u901f\u6570\u636e\u8bbf\u95ee\u3002 \u91c7\u7528SIMD\u548cSIMT\u7b49\u6280\u672f\u8fdb\u884c\u5e76\u884c\u4efb\u52a1\u5904\u7406\u3002 GPU\u7684\u8bbe\u8ba1\u6ce8\u91cd\u901f\u5ea6\u548c\u5e76\u884c\u5904\u7406\u80fd\u529b\u3002\u5b83\u4eec\u57283D\u56fe\u5f62\u6e32\u67d3\u3001\u89c6\u9891\u7279\u6548\u548c\u5b9e\u65f6\u5149\u7ebf\u8ffd\u8e2a\u65b9\u9762\u8868\u73b0\u51fa\u8272\u3002\u5728\u6e38\u620f\u4e2d\uff0cGPU\u8d1f\u8d23\u56fe\u5f62\u5904\u7406\uff0c\u800cCPU\u5219\u5904\u7406\u5176\u4ed6\u4efb\u52a1\u3002\u901a\u7528\u56fe\u5f62\u5904\u7406\u5355\u5143\u73b0\u5df2\u5e94\u7528\u4e8e\u591a\u4e2a\u9886\u57df\uff0c\u4e0d\u4ec5\u9650\u4e8e\u56fe\u5f62\u5904\u7406\uff0c\u8fd8\u80fd\u63d0\u5347\u6574\u4f53\u8ba1\u7b97\u6027\u80fd\u3002 GPGPU GPGPU\u6307\u7684\u662f\u5c06\u56fe\u5f62\u5904\u7406\u5355\u5143\u7528\u4e8e\u56fe\u5f62\u5904\u7406\u4e4b\u5916\u7684\u7528\u9014\u3002\u5b83\u8ba9GPU\u80fd\u591f\u534f\u52a9\u5904\u7406\u79d1\u5b66\u3001\u533b\u7597\u548c\u91d1\u878d\u9886\u57df\u7684\u95ee\u9898\u3002\u6839\u636e\u7ef4\u57fa\u767e\u79d1\u548c\u82f1\u7279\u5c14\u7684\u8bf4\u6cd5\uff0cGPGPU\u662f\u4e00\u4e2a\u8f6f\u4ef6\u6982\u5ff5\uff0c\u5b83\u5229\u7528GPU\u7684\u8ba1\u7b97\u80fd\u529b\u8fdb\u884c\u5404\u79cd\u901a\u7528\u8ba1\u7b97\uff0c\u800c\u4e0d\u4ec5\u4ec5\u662f\u56fe\u5f62\u5904\u7406\u3002 GPGPU\u9700\u8981\u7279\u6b8a\u7684\u5de5\u5177\u652f\u6301\uff0c\u5982CUDA\u548cOpenCL\u3002\u8fd9\u4e9b\u5de5\u5177\u5e2e\u52a9\u5f00\u53d1\u4eba\u5458\u4e3aGPU\u7f16\u5199\u4ee3\u7801\u3002\u901a\u7528\u56fe\u5f62\u5904\u7406\u5355\u5143\u53ef\u4ee5\u7528\u4e8e\u533b\u5b66\u56fe\u50cf\u5904\u7406\u3001\u6df1\u5ea6\u5b66\u4e60\u548c\u9ad8\u9891\u4ea4\u6613\u7b49\u4efb\u52a1\u3002GPGPU\u5e76\u4e0d\u662f\u8981\u53d6\u4ee3CPU\uff0c\u800c\u662f\u4e0eCPU\u534f\u540c\u5de5\u4f5c\uff0c\u52a0\u5feb\u5927\u578b\u4efb\u52a1\u7684\u5904\u7406\u901f\u5ea6\u3002\u8fd9\u79cd\u65b9\u5f0f\u53ef\u4ee5\u5e2e\u52a9\u4f01\u4e1a\u66f4\u5feb\u5b8c\u6210\u5de5\u4f5c\uff0c\u964d\u4f4e\u80fd\u8017\u548c\u6210\u672c\u3002 \u6ce8\u610f\uff1aGPGPU\u6280\u672f\u5728\u4e0d\u65ad\u8fdb\u6b65\u3002\u65b0\u4e00\u4ee3GPU\uff0c\u5982\u91c7\u7528Blackwell\u67b6\u6784\u7684\u4ea7\u54c1\uff0c\u4e3a\u5404\u7c7b\u8ba1\u7b97\u4efb\u52a1\u63d0\u4f9b\u4e86\u66f4\u5f3a\u5927\u7684\u6027\u80fd\u3002 GPGPU\u548cGPU\u7684\u533a\u522b \u7528\u9014 GPGPU\u548cGPU\u7684\u4e3b\u8981\u533a\u522b\u5728\u4e8e\u5176\u7528\u9014\u3002GPU\u662f\u4e00\u4e2a\u786c\u4ef6\u7ec4\u4ef6\uff0c\u7528\u4e8e\u63d0\u4f9b\u9ad8\u8d28\u91cf\u548c\u9ad8\u901f\u7684\u56fe\u5f62\u5904\u7406\u80fd\u529b\u3002\u5b83\u8d1f\u8d23\u5728\u5c4f\u5e55\u4e0a\u7ed8\u5236\u56fe\u50cf\u3001\u89c6\u9891\u548c\u52a8\u753b\u3002\u5236\u9020\u5546\u8bbe\u8ba1GPU\u65f6\u7740\u91cd\u4e8e\u5e76\u884c\u5904\u7406\u80fd\u529b\uff0c\u8fd9\u6709\u52a9\u4e8e\u63d0\u5347\u6e38\u620f\u548c\u89c6\u9891\u6027\u80fd\u3002\u968f\u7740\u65f6\u95f4\u63a8\u79fb\uff0cGPU\u7684\u5e94\u7528\u8303\u56f4\u6269\u5927\u5230\u56fe\u5f62\u5904\u7406\u4e4b\u5916\uff0c\u73b0\u5728\u8fd8\u53ef\u4ee5\u7528\u4e8e\u4eba\u5de5\u667a\u80fd\u548c\u79d1\u5b66\u8ba1\u7b97\u3002 GPGPU\u5219\u662f\u5229\u7528GPU\u8fdb\u884c\u975e\u56fe\u5f62\u5904\u7406\u4efb\u52a1\u7684\u65b9\u6cd5\u3002\u4eba\u4eec\u4f7f\u7528GPGPU\u89e3\u51b3\u4e0e\u56fe\u5f62\u65e0\u5173\u7684\u95ee\u9898\u3002GPGPU\u4f7fGPU\u80fd\u591f\u5904\u7406\u6df1\u5ea6\u5b66\u4e60\u3001\u533b\u5b66\u56fe\u50cf\u548c\u5927\u6570\u636e\u5206\u6790\u3002\u5176\u76ee\u6807\u662f\u5229\u7528GPU\u52a0\u901f\u5404\u79cd\u8ba1\u7b97\u4efb\u52a1\uff0c\u800c\u4e0d\u4ec5\u4ec5\u662f\u56fe\u5f62\u5904\u7406\u3002 \u63d0\u793a\uff1aGPGPU\u5229\u7528GPU\u52a0\u901f\u590d\u6742\u7684\u6570\u5b66\u8fd0\u7b97\uff0c\u8fd9\u5728\u79d1\u5b66\u3001\u533b\u7597\u548c\u5546\u4e1a\u9886\u57df\u7279\u522b\u6709\u7528\u3002 \u5de5\u4f5c\u8d1f\u8f7d GPU\u548cGPGPU\u7684\u5de5\u4f5c\u4efb\u52a1\u4e0d\u540c\u3002GPU\u4e3b\u8981\u5904\u7406\u56fe\u5f62\u4efb\u52a1\uff0c\u5305\u62ec3D\u573a\u666f\u6e32\u67d3\u3001\u89c6\u9891\u7279\u6548\u548c\u7528\u6237\u754c\u9762\u663e\u793a\u3002\u6700\u65b0\u7814\u7a76\u8868\u660e\uff0cGPU\u4e5f\u53ef\u4ee5\u5904\u7406\u590d\u6742\u7684\u6570\u5b66\u8fd0\u7b97\uff0c\u5305\u62ec\u77e9\u9635\u8ba1\u7b97\u3001\u6570\u636e\u5e93\u64cd\u4f5c\u548c\u6df1\u5ea6\u5b66\u4e60\u3002\u4f8b\u5982\uff0c\u50cfBERT\u8fd9\u6837\u7684\u6a21\u578b\u5229\u7528GPU\u7684\u5f20\u91cf\u6838\u5fc3\u8fdb\u884c\u5feb\u901f\u8bad\u7ec3\u548c\u95ee\u9898\u56de\u7b54\u3002 GPGPU\u7684\u5de5\u4f5c\u4e3b\u8981\u96c6\u4e2d\u5728\u901a\u7528\u8ba1\u7b97\u9886\u57df\u3002\u79d1\u5b66\u5bb6\u4f7f\u7528GPGPU\u8fdb\u884c\u7269\u7406\u548c\u5de5\u7a0b\u8ba1\u7b97\u3002GPGPU\u8fd8\u7528\u4e8e\u5927\u6570\u636e\u6a21\u5f0f\u8bc6\u522b\u3002\u8bad\u7ec3\u5927\u578bAI\u6a21\u578b\u4e5f\u662fGPGPU\u7684\u91cd\u8981\u5e94\u7528\u3002\u8fd9\u4e9b\u4efb\u52a1\u9700\u8981\u9ad8\u901f\u5ea6\u548c\u5e76\u884c\u8ba1\u7b97\u80fd\u529b\uff0c\u800c\u8fd9\u6b63\u662fGPU\u6240\u64c5\u957f\u7684\u3002 GPU\u5de5\u4f5c\u8d1f\u8f7d\uff1a \u56fe\u5f62\u6e32\u67d3 \u89c6\u9891\u64ad\u653e \u6e38\u620f\u56fe\u5f62 \u77e9\u9635\u8fd0\u7b97 \u6df1\u5ea6\u5b66\u4e60\u63a8\u7406 GPGPU\u5de5\u4f5c\u8d1f\u8f7d\uff1a \u79d1\u5b66\u6a21\u62df \u533b\u5b66\u56fe\u50cf\u5904\u7406 \u5927\u89c4\u6a21AI\u6a21\u578b\u8bad\u7ec3 \u6570\u636e\u5206\u6790 \u91d1\u878d\u98ce\u9669\u5efa\u6a21 \u786c\u4ef6\u4e0e\u4f7f\u7528\u65b9\u5f0f GPU\u548cGPGPU\u5728\u786c\u4ef6\u548c\u4f7f\u7528\u65b9\u5f0f\u4e0a\u6709\u6240\u4e0d\u540c\u3002GPU\u662f\u8ba1\u7b97\u673a\u6216\u6e38\u620f\u7cfb\u7edf\u4e2d\u7684\u5b9e\u4f53\u82af\u7247\uff0c\u5305\u542b\u591a\u4e2a\u534f\u540c\u5de5\u4f5c\u7684\u5c0f\u578b\u6838\u5fc3\u3002\u67d0\u4e9bGPU\u8fd8\u914d\u5907\u4e86\u4e13\u95e8\u7528\u4e8eAI\u548c\u5149\u7167\u8ba1\u7b97\u7684\u7279\u6b8a\u5355\u5143\u3002 GPGPU\u4e0d\u662f\u4e00\u4e2a\u5b9e\u4f53\u82af\u7247\uff0c\u800c\u662f\u4e00\u79cd\u4f7f\u7528GPU\u8fdb\u884c\u975e\u56fe\u5f62\u8ba1\u7b97\u7684\u65b9\u6cd5\u3002\u8fd9\u9700\u8981\u7279\u6b8a\u7684\u5de5\u5177\u548cAPI\u652f\u6301\u3002\u5f00\u53d1\u8005\u4f7f\u7528CUDA\u3001OpenCL\u7b49\u5de5\u5177\u4e3aGPGPU\u7f16\u5199\u7a0b\u5e8f\u3002\u8fd9\u4e9b\u5de5\u5177\u4f7fGPU\u548cCPU\u80fd\u591f\u5171\u4eab\u6570\u636e\u5e76\u66f4\u5feb\u5730\u5b8c\u6210\u4efb\u52a1\u3002 \u65b9\u9762 GPU\uff08\u786c\u4ef6\uff09 GPGPU\uff08\u8ba1\u7b97\u65b9\u6cd5\uff09 \u672c\u8d28 \u7528\u4e8e\u56fe\u5f62\u5904\u7406\u7684\u7269\u7406\u82af\u7247 \u901a\u7528\u8ba1\u7b97\u7684\u4f7f\u7528\u65b9\u5f0f \u4e3b\u8981\u7528\u9014 \u56fe\u5f62\u6e32\u67d3 \u9ad8\u6027\u80fd\u8ba1\u7b97 \u7f16\u7a0b\u65b9\u5f0f \u56fe\u5f62API\uff08DirectX, OpenGL\uff09 [&#8230;]<\/p>\n<p><a class=\"btn btn-secondary understrap-read-more-link\" href=\"https:\/\/www.varidata.com\/zh-cn\/blog\/the-differences-between-gpgpu-and-gpu\/\">Read More&#8230;<\/a><\/p>\n","protected":false},"author":11,"featured_media":22613,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[76],"tags":[],"class_list":["post-22617","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>GPGPU\u548cGPU\u7684\u533a\u522b\u662f\u4ec0\u4e48\uff1f<\/title>\n<meta name=\"description\" content=\"\u4e86\u89e3GPGPU\u548cGPU\u4e4b\u95f4\u7684\u533a\u522b\uff0c\u5305\u62ec\u5b83\u4eec\u7684\u89d2\u8272\u3001\u5de5\u4f5c\u8d1f\u8f7d\uff0c\u4ee5\u53caGPGPU\u5982\u4f55\u5c06GPU\u7684\u4f7f\u7528\u4ece\u56fe\u5f62\u6269\u5c55\u5230\u901a\u7528\u8ba1\u7b97\u3002\" \/>\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.varidata.com\/zh-cn\/blog\/the-differences-between-gpgpu-and-gpu\/\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"GPGPU\u548cGPU\u7684\u533a\u522b\u662f\u4ec0\u4e48\uff1f\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.varidata.com\/zh-cn\/blog\/the-differences-between-gpgpu-and-gpu\/\" \/>\n<meta property=\"og:site_name\" content=\"Varidata Limited\" \/>\n<meta property=\"article:published_time\" content=\"2025-07-23T07:35:43+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-07-23T07:49:37+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.varidata.com\/wp-content\/uploads\/2025\/07\/Screenshot-2025-07-23-153349.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"682\" \/>\n\t<meta property=\"og:image:height\" content=\"381\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/www.varidata.com\/zh-cn\/blog\/the-differences-between-gpgpu-and-gpu\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.varidata.com\/zh-cn\/blog\/the-differences-between-gpgpu-and-gpu\/\"},\"author\":\"Varidata\",\"headline\":\"GPGPU\u548cGPU\u7684\u533a\u522b\u662f\u4ec0\u4e48\uff1f\",\"datePublished\":\"2025-07-23T07:35:43+00:00\",\"dateModified\":\"2025-07-23T07:49:37+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/www.varidata.com\/zh-cn\/blog\/the-differences-between-gpgpu-and-gpu\/\"},\"wordCount\":231,\"publisher\":{\"@id\":\"https:\/\/www.varidata.com\/zh-cn\/#organization\"},\"image\":{\"@id\":\"https:\/\/www.varidata.com\/zh-cn\/blog\/the-differences-between-gpgpu-and-gpu\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.varidata.com\/wp-content\/uploads\/2025\/07\/Screenshot-2025-07-23-153349.jpg\",\"articleSection\":[\"Varidata \u5b98\u65b9\u535a\u5ba2\"],\"inLanguage\":\"zh-SC\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.varidata.com\/zh-cn\/blog\/the-differences-between-gpgpu-and-gpu\/\",\"url\":\"https:\/\/www.varidata.com\/zh-cn\/blog\/the-differences-between-gpgpu-and-gpu\/\",\"name\":\"GPGPU\u548cGPU\u7684\u533a\u522b\u662f\u4ec0\u4e48\uff1f\",\"isPartOf\":{\"@id\":\"https:\/\/www.varidata.com\/zh-cn\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/www.varidata.com\/zh-cn\/blog\/the-differences-between-gpgpu-and-gpu\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/www.varidata.com\/zh-cn\/blog\/the-differences-between-gpgpu-and-gpu\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.varidata.com\/wp-content\/uploads\/2025\/07\/Screenshot-2025-07-23-153349.jpg\",\"datePublished\":\"2025-07-23T07:35:43+00:00\",\"dateModified\":\"2025-07-23T07:49:37+00:00\",\"description\":\"\u4e86\u89e3GPGPU\u548cGPU\u4e4b\u95f4\u7684\u533a\u522b\uff0c\u5305\u62ec\u5b83\u4eec\u7684\u89d2\u8272\u3001\u5de5\u4f5c\u8d1f\u8f7d\uff0c\u4ee5\u53caGPGPU\u5982\u4f55\u5c06GPU\u7684\u4f7f\u7528\u4ece\u56fe\u5f62\u6269\u5c55\u5230\u901a\u7528\u8ba1\u7b97\u3002\",\"breadcrumb\":{\"@id\":\"https:\/\/www.varidata.com\/zh-cn\/blog\/the-differences-between-gpgpu-and-gpu\/#breadcrumb\"},\"inLanguage\":\"zh-SC\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.varidata.com\/zh-cn\/blog\/the-differences-between-gpgpu-and-gpu\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"zh-SC\",\"@id\":\"https:\/\/www.varidata.com\/zh-cn\/blog\/the-differences-between-gpgpu-and-gpu\/#primaryimage\",\"url\":\"https:\/\/www.varidata.com\/wp-content\/uploads\/2025\/07\/Screenshot-2025-07-23-153349.jpg\",\"contentUrl\":\"https:\/\/www.varidata.com\/wp-content\/uploads\/2025\/07\/Screenshot-2025-07-23-153349.jpg\",\"width\":682,\"height\":381,\"caption\":\"GPU\u4e0eGPGPU\u67b6\u6784\u6bd4\u8f83\u56fe\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.varidata.com\/zh-cn\/blog\/the-differences-between-gpgpu-and-gpu\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/www.varidata.com\/zh-cn\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"GPGPU\u548cGPU\u7684\u533a\u522b\u662f\u4ec0\u4e48\uff1f\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.varidata.com\/zh-cn\/#website\",\"url\":\"https:\/\/www.varidata.com\/zh-cn\/\",\"name\":\"Varidata Limited\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\/\/www.varidata.com\/zh-cn\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/www.varidata.com\/zh-cn\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"zh-SC\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/www.varidata.com\/zh-cn\/#organization\",\"name\":\"Varidata\",\"url\":\"https:\/\/www.varidata.com\/zh-cn\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"zh-SC\",\"@id\":\"https:\/\/www.varidata.com\/zh-cn\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/www.varidata.com\/wp-content\/uploads\/2021\/09\/varidata_logo_white_-748x480_hor_web-1.png\",\"contentUrl\":\"https:\/\/www.varidata.com\/wp-content\/uploads\/2021\/09\/varidata_logo_white_-748x480_hor_web-1.png\",\"width\":248,\"height\":94,\"caption\":\"Varidata\"},\"image\":{\"@id\":\"https:\/\/www.varidata.com\/zh-cn\/#\/schema\/logo\/image\/\"}},{\"@type\":\"Person\",\"@id\":\"https:\/\/www.varidata.com\/zh-cn\/#\/schema\/person\/afeb2203681f7919a757a02690f38abd\",\"name\":\"Daisy Yu\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"zh-SC\",\"@id\":\"https:\/\/www.varidata.com\/zh-cn\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/38db59364245f7a04c07a2888056fc3db37247c1af72457af92d8001da594989?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/38db59364245f7a04c07a2888056fc3db37247c1af72457af92d8001da594989?s=96&d=mm&r=g\",\"caption\":\"Daisy Yu\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"GPGPU\u548cGPU\u7684\u533a\u522b\u662f\u4ec0\u4e48\uff1f","description":"\u4e86\u89e3GPGPU\u548cGPU\u4e4b\u95f4\u7684\u533a\u522b\uff0c\u5305\u62ec\u5b83\u4eec\u7684\u89d2\u8272\u3001\u5de5\u4f5c\u8d1f\u8f7d\uff0c\u4ee5\u53caGPGPU\u5982\u4f55\u5c06GPU\u7684\u4f7f\u7528\u4ece\u56fe\u5f62\u6269\u5c55\u5230\u901a\u7528\u8ba1\u7b97\u3002","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.varidata.com\/zh-cn\/blog\/the-differences-between-gpgpu-and-gpu\/","og_locale":"zh_CN","og_type":"article","og_title":"GPGPU\u548cGPU\u7684\u533a\u522b\u662f\u4ec0\u4e48\uff1f","og_url":"https:\/\/www.varidata.com\/zh-cn\/blog\/the-differences-between-gpgpu-and-gpu\/","og_site_name":"Varidata Limited","article_published_time":"2025-07-23T07:35:43+00:00","article_modified_time":"2025-07-23T07:49:37+00:00","og_image":[{"width":682,"height":381,"url":"https:\/\/www.varidata.com\/wp-content\/uploads\/2025\/07\/Screenshot-2025-07-23-153349.jpg","type":"image\/jpeg"}],"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/www.varidata.com\/zh-cn\/blog\/the-differences-between-gpgpu-and-gpu\/#article","isPartOf":{"@id":"https:\/\/www.varidata.com\/zh-cn\/blog\/the-differences-between-gpgpu-and-gpu\/"},"author":"Varidata","headline":"GPGPU\u548cGPU\u7684\u533a\u522b\u662f\u4ec0\u4e48\uff1f","datePublished":"2025-07-23T07:35:43+00:00","dateModified":"2025-07-23T07:49:37+00:00","mainEntityOfPage":{"@id":"https:\/\/www.varidata.com\/zh-cn\/blog\/the-differences-between-gpgpu-and-gpu\/"},"wordCount":231,"publisher":{"@id":"https:\/\/www.varidata.com\/zh-cn\/#organization"},"image":{"@id":"https:\/\/www.varidata.com\/zh-cn\/blog\/the-differences-between-gpgpu-and-gpu\/#primaryimage"},"thumbnailUrl":"https:\/\/www.varidata.com\/wp-content\/uploads\/2025\/07\/Screenshot-2025-07-23-153349.jpg","articleSection":["Varidata \u5b98\u65b9\u535a\u5ba2"],"inLanguage":"zh-SC"},{"@type":"WebPage","@id":"https:\/\/www.varidata.com\/zh-cn\/blog\/the-differences-between-gpgpu-and-gpu\/","url":"https:\/\/www.varidata.com\/zh-cn\/blog\/the-differences-between-gpgpu-and-gpu\/","name":"GPGPU\u548cGPU\u7684\u533a\u522b\u662f\u4ec0\u4e48\uff1f","isPartOf":{"@id":"https:\/\/www.varidata.com\/zh-cn\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.varidata.com\/zh-cn\/blog\/the-differences-between-gpgpu-and-gpu\/#primaryimage"},"image":{"@id":"https:\/\/www.varidata.com\/zh-cn\/blog\/the-differences-between-gpgpu-and-gpu\/#primaryimage"},"thumbnailUrl":"https:\/\/www.varidata.com\/wp-content\/uploads\/2025\/07\/Screenshot-2025-07-23-153349.jpg","datePublished":"2025-07-23T07:35:43+00:00","dateModified":"2025-07-23T07:49:37+00:00","description":"\u4e86\u89e3GPGPU\u548cGPU\u4e4b\u95f4\u7684\u533a\u522b\uff0c\u5305\u62ec\u5b83\u4eec\u7684\u89d2\u8272\u3001\u5de5\u4f5c\u8d1f\u8f7d\uff0c\u4ee5\u53caGPGPU\u5982\u4f55\u5c06GPU\u7684\u4f7f\u7528\u4ece\u56fe\u5f62\u6269\u5c55\u5230\u901a\u7528\u8ba1\u7b97\u3002","breadcrumb":{"@id":"https:\/\/www.varidata.com\/zh-cn\/blog\/the-differences-between-gpgpu-and-gpu\/#breadcrumb"},"inLanguage":"zh-SC","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.varidata.com\/zh-cn\/blog\/the-differences-between-gpgpu-and-gpu\/"]}]},{"@type":"ImageObject","inLanguage":"zh-SC","@id":"https:\/\/www.varidata.com\/zh-cn\/blog\/the-differences-between-gpgpu-and-gpu\/#primaryimage","url":"https:\/\/www.varidata.com\/wp-content\/uploads\/2025\/07\/Screenshot-2025-07-23-153349.jpg","contentUrl":"https:\/\/www.varidata.com\/wp-content\/uploads\/2025\/07\/Screenshot-2025-07-23-153349.jpg","width":682,"height":381,"caption":"GPU\u4e0eGPGPU\u67b6\u6784\u6bd4\u8f83\u56fe"},{"@type":"BreadcrumbList","@id":"https:\/\/www.varidata.com\/zh-cn\/blog\/the-differences-between-gpgpu-and-gpu\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.varidata.com\/zh-cn\/"},{"@type":"ListItem","position":2,"name":"GPGPU\u548cGPU\u7684\u533a\u522b\u662f\u4ec0\u4e48\uff1f"}]},{"@type":"WebSite","@id":"https:\/\/www.varidata.com\/zh-cn\/#website","url":"https:\/\/www.varidata.com\/zh-cn\/","name":"Varidata Limited","description":"","publisher":{"@id":"https:\/\/www.varidata.com\/zh-cn\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.varidata.com\/zh-cn\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"zh-SC"},{"@type":"Organization","@id":"https:\/\/www.varidata.com\/zh-cn\/#organization","name":"Varidata","url":"https:\/\/www.varidata.com\/zh-cn\/","logo":{"@type":"ImageObject","inLanguage":"zh-SC","@id":"https:\/\/www.varidata.com\/zh-cn\/#\/schema\/logo\/image\/","url":"https:\/\/www.varidata.com\/wp-content\/uploads\/2021\/09\/varidata_logo_white_-748x480_hor_web-1.png","contentUrl":"https:\/\/www.varidata.com\/wp-content\/uploads\/2021\/09\/varidata_logo_white_-748x480_hor_web-1.png","width":248,"height":94,"caption":"Varidata"},"image":{"@id":"https:\/\/www.varidata.com\/zh-cn\/#\/schema\/logo\/image\/"}},{"@type":"Person","@id":"https:\/\/www.varidata.com\/zh-cn\/#\/schema\/person\/afeb2203681f7919a757a02690f38abd","name":"Daisy Yu","image":{"@type":"ImageObject","inLanguage":"zh-SC","@id":"https:\/\/www.varidata.com\/zh-cn\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/38db59364245f7a04c07a2888056fc3db37247c1af72457af92d8001da594989?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/38db59364245f7a04c07a2888056fc3db37247c1af72457af92d8001da594989?s=96&d=mm&r=g","caption":"Daisy Yu"}}]}},"_links":{"self":[{"href":"https:\/\/www.varidata.com\/zh-cn\/wp-json\/wp\/v2\/posts\/22617","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.varidata.com\/zh-cn\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.varidata.com\/zh-cn\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.varidata.com\/zh-cn\/wp-json\/wp\/v2\/users\/11"}],"replies":[{"embeddable":true,"href":"https:\/\/www.varidata.com\/zh-cn\/wp-json\/wp\/v2\/comments?post=22617"}],"version-history":[{"count":1,"href":"https:\/\/www.varidata.com\/zh-cn\/wp-json\/wp\/v2\/posts\/22617\/revisions"}],"predecessor-version":[{"id":22620,"href":"https:\/\/www.varidata.com\/zh-cn\/wp-json\/wp\/v2\/posts\/22617\/revisions\/22620"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.varidata.com\/zh-cn\/wp-json\/wp\/v2\/media\/22613"}],"wp:attachment":[{"href":"https:\/\/www.varidata.com\/zh-cn\/wp-json\/wp\/v2\/media?parent=22617"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.varidata.com\/zh-cn\/wp-json\/wp\/v2\/categories?post=22617"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.varidata.com\/zh-cn\/wp-json\/wp\/v2\/tags?post=22617"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}