{"id":102848,"date":"2026-09-09T15:24:55","date_gmt":"2026-09-09T07:24:55","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/102848.html"},"modified":"2026-09-09T15:24:55","modified_gmt":"2026-09-09T07:24:55","slug":"ai%e7%a1%ac%e4%bb%b621-gpu%e5%92%8ctpu%e5%87%ad%e4%bb%80%e4%b9%88%e6%af%94cpu%e8%83%bd%e7%ae%97%ef%bc%9f%e5%b9%b6%e8%a1%8c%e6%9e%b6%e6%9e%84%e6%8f%ad%e7%a7%98simt-%e4%b8%8e%e8%84%89%e5%8a%a8%e9%98%b5","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/102848.html","title":{"rendered":"AI\u786c\u4ef621-GPU\u548cTPU\u51ed\u4ec0\u4e48\u6bd4CPU\u80fd\u7b97\uff1f\u5e76\u884c\u67b6\u6784\u63ed\u79d8SIMT \u4e0e\u8109\u52a8\u9635\u5217\uff1a\u4e24\u79cd\u5e76\u884c\u8ba1\u7b97\u7684\u5e95\u5c42\u8303\u5f0f"},"content":{"rendered":"<\/p>\n<p><span tabindex=\"-1\">\u57fa\u91d1\u5b9a\u6295\u52a9\u624b&#xff1a;\u4e3a\u4ec0\u4e48\u4f60\u7684\u57fa\u91d1\u5b9a\u6295\u603b\u5728\u8ffd\u6da8\u6740\u8dcc&#xff1f;\u4ef7\u503c\u5e73\u5747\u6cd5\u5b9a\u6295\u5f15\u64ce &#043; \u7efc\u5408\u4f30\u503c\u6a21\u578b&#043;\u52a8\u6001\u518d\u5e73\u8861\u4ed3\u4f4d\u7ba1\u7406&#xff0c;\u4e00\u4e2a\u5355\u6587\u4ef6 HTML \u7684\u514d\u8d39\u5b9a\u6295\u5de5\u5177-CSDN\u535a\u5ba2<\/span> <span tabindex=\"-1\">https:\/\/download.csdn.net\/download\/weitingfu\/93339607?spm&#061;1011.2124.3001.6210<\/span><\/p>\n<p>\u672c\u6587\u4e3a\u300aAI \u786c\u4ef6\u4f53\u7cfb\u6df1\u5ea6\u8c03\u7814\u300b\u7cfb\u5217\u7b2c 21 \u7bc7\u3002\u4e0a\u4e00\u7bc7\u8bb2\u7ec8\u7aef\u5f02\u6784\u8c03\u5ea6&#xff0c;\u8ba9 CPU\u3001GPU\u3001NPU \u5404\u53f8\u5176\u804c\u3002\u8fd9\u4e00\u7bc7\u5f80\u5e95\u5c42\u8d70\u4e00\u5c42&#xff1a;GPU \u548c TPU\/NPU \u51ed\u4ec0\u4e48\u6bd4 CPU \u80fd\u7b97&#xff1f;\u7b54\u6848\u85cf\u5728\u4e24\u5957\u5e76\u884c\u8ba1\u7b97\u67b6\u6784\u91cc\u2014\u2014SIMT \u4e0e\u8109\u52a8\u9635\u5217\u3002<\/p>\n<hr \/>\n<h3>\u9ec4\u91d1 100 \u5b57<\/h3>\n<p>\u4f60\u662f\u5426\u56f0\u60d1&#xff1a;\u540c\u6837\u662f\u82af\u7247&#xff0c;GPU \u548c TPU \u51ed\u4ec0\u4e48\u6bd4 CPU \u80fd\u7b97\u8fd9\u4e48\u591a&#xff1f;\u591a\u6570\u5bf9\u6bd4\u53ea\u8bf4&#034;GPU\u9002\u5408\u5e76\u884c&#034;&#xff0c;\u5374\u8bb2\u4e0d\u6e05\u4e24\u7c7b\u5e76\u884c\u67b6\u6784\u7684\u6839\u672c\u5206\u6b67\u3002\u672c\u6587\u628a SIMT \u4e0e\u8109\u52a8\u9635\u5217\u8fd9\u4e24\u6761\u8def\u6446\u5728\u4e00\u8d77&#xff0c;\u8bf4\u6e05\u5b83\u4eec\u5404\u81ea\u7684\u813e\u6c14\u3002<\/p>\n<p>\u8bfb\u5b8c\u540e\u4f60\u4f1a\u660e\u767d&#xff1a;\u201c\u80fd\u7b97&#034;\u4ece\u6765\u4e0d\u662f\u5355\u6838\u591a\u5f3a&#xff0c;\u800c\u662f&#034;\u600e\u4e48\u628a\u5343\u519b\u4e07\u9a6c\u7ec4\u7ec7\u8d77\u6765\u201d\u3002<\/p>\n<hr \/>\n<h3>\u4e00\u3001\u4e3a\u4ec0\u4e48 AI \u8981\u9760\u5e76\u884c<\/h3>\n<h4>1.1 \u7b97\u529b\u7684\u74f6\u9888&#xff0c;\u4ece\u6765\u4e0d\u662f\u5355\u6838<\/h4>\n<p>CPU \u5355\u6838\u518d\u5f3a&#xff0c;\u4e5f\u67b6\u4e0d\u4f4f AI \u6a21\u578b\u7684\u7b97\u529b\u9700\u6c42\u3002\u4e00\u4e2a\u73b0\u4ee3\u5927\u6a21\u578b\u7684\u63a8\u7406&#xff0c;\u52a8\u4e0d\u52a8\u5c31\u662f\u51e0\u5343\u4ebf\u6b21\u4e58\u52a0\u8fd0\u7b97&#xff0c;\u5982\u679c\u5168\u9760\u5355\u6838\u4e32\u884c\u7b97&#xff0c;\u7b49\u5230\u5929\u8352\u5730\u8001\u3002<\/p>\n<p>AI \u7b97\u529b\u7684\u672c\u8d28&#xff0c;\u6765\u81ea\u5e76\u884c\u67b6\u6784\u7684\u5b9a\u5411\u4f18\u5316\u3002\u628a\u4e00\u4e2a\u5927\u8ba1\u7b97\u4efb\u52a1&#xff0c;\u62c6\u6210\u6210\u5343\u4e0a\u4e07\u4e2a\u53ef\u4ee5\u540c\u65f6\u8fdb\u884c\u7684\u5c0f\u4efb\u52a1&#xff0c;\u8ba9\u5b83\u4eec\u5728\u540c\u4e00\u65f6\u523b\u4e00\u8d77\u7b97&#xff0c;\u7b97\u529b\u81ea\u7136\u66b4\u6da8\u3002<\/p>\n<p>&#x1f4a1; \u5355\u6838\u662f&#034;\u4e00\u4e2a\u5b66\u9738\u5237\u9898&#034;&#xff0c;\u5e76\u884c\u662f&#034;\u4e00\u5343\u4e2a\u5b66\u751f\u540c\u65f6\u5237&#034;\u3002\u5b66\u9738\u518d\u5feb&#xff0c;\u4e5f\u5237\u4e0d\u8fc7\u4e00\u5343\u4e2a\u4eba\u4e00\u8d77\u4e0a\u3002<\/p>\n<h4>1.2 \u795e\u7ecf\u7f51\u7edc&#xff1a;\u5929\u7136\u4e3a\u5e76\u884c\u800c\u751f<\/h4>\n<p>\u4e3a\u4ec0\u4e48 AI \u7279\u522b\u9002\u5408\u5e76\u884c&#xff1f;\u56e0\u4e3a\u795e\u7ecf\u7f51\u7edc\u7684\u8ba1\u7b97\u7ed3\u6784&#xff0c;\u5929\u751f\u5c31\u662f\u5e76\u884c\u7684\u3002\u77e9\u9635\u4e58\u6cd5\u91cc&#xff0c;\u6bcf\u4e00\u4e2a\u8f93\u51fa\u5143\u7d20&#xff0c;\u90fd\u53ef\u4ee5\u72ec\u7acb\u5730\u7531\u5bf9\u5e94\u7684\u8f93\u5165\u548c\u6743\u91cd\u7b97\u51fa\u6765&#xff0c;\u5f7c\u6b64\u4e4b\u95f4\u6ca1\u6709\u4f9d\u8d56\u3002<\/p>\n<p>\u8fd9\u610f\u5473\u7740&#xff1a;\u8ba1\u7b97\u4e4b\u95f4\u51e0\u4e4e\u6ca1\u6709\u5148\u540e\u987a\u5e8f\u7684\u7ea6\u675f&#xff0c;\u53ef\u4ee5\u5927\u89c4\u6a21\u540c\u65f6\u8fdb\u884c\u3002\u8fd9\u662f AI \u4e0e\u4e32\u884c\u4efb\u52a1&#xff08;\u5982\u6307\u9488\u8df3\u8f6c\u3001\u5206\u652f\u5bc6\u96c6\u7684\u903b\u8f91&#xff09;\u6700\u5927\u7684\u4e0d\u540c\u3002<\/p>\n<p>&#x1f4a1; \u795e\u7ecf\u7f51\u7edc\u662f&#034;\u6d41\u6c34\u7ebf\u5206\u88c5&#034;\u2014\u2014\u6bcf\u4e2a\u5305\u88f9\u72ec\u7acb\u6253\u5305&#xff0c;\u4e92\u4e0d\u5f71\u54cd&#xff0c;\u5929\u7136\u9002\u5408\u4e00\u767e\u4e2a\u4eba\u5e76\u6392\u5e72\u3002<\/p>\n<h4>1.3 \u4e24\u7c7b\u4e3b\u6d41\u7684\u5e76\u884c\u8303\u5f0f<\/h4>\n<p>\u9762\u5bf9&#034;\u5982\u4f55\u5e76\u884c&#034;\u8fd9\u4e2a\u95ee\u9898&#xff0c;\u4e1a\u754c\u8d70\u51fa\u4e86\u4e24\u6761\u622a\u7136\u4e0d\u540c\u7684\u8def&#xff1a;<\/p>\n<ul>\n<li>SIMT&#xff08;\u5355\u6307\u4ee4\u591a\u7ebf\u7a0b&#xff09;&#xff1a;GPU \u7684\u8def\u5b50&#xff0c;\u7528\u6210\u5343\u4e0a\u4e07\u9897\u7b80\u5355\u6838\u5fc3&#xff0c;\u540c\u4e00\u6761\u6307\u4ee4\u540c\u65f6\u5904\u7406\u4e0d\u540c\u6570\u636e\u3002<\/li>\n<li>\u8109\u52a8\u9635\u5217&#xff08;Systolic Array&#xff09;&#xff1a;TPU\/NPU \u7684\u8def\u5b50&#xff0c;\u8ba9\u6570\u636e\u5728\u8ba1\u7b97\u5355\u5143\u4e4b\u95f4\u50cf\u8840\u6db2\u4e00\u6837\u6d41\u52a8&#xff0c;\u51cf\u5c11\u5bf9\u5185\u5b58\u7684\u53cd\u590d\u8bfb\u5199\u3002<\/li>\n<\/ul>\n<p>\u8fd9\u4e24\u6761\u8def&#xff0c;\u4e00\u6761\u5f3a\u8c03&#034;\u4eba\u591a\u529b\u91cf\u5927&#034;&#xff0c;\u4e00\u6761\u5f3a\u8c03&#034;\u6d41\u6c34\u4e0d\u4e89\u5148&#034;\u3002\u540e\u9762\u56db\u7ae0&#xff0c;\u5c31\u6cbf\u7740\u8fd9\u4e24\u6761\u8def\u8bb2\u900f\u5b83\u4eec\u7684\u813e\u6c14\u3002<\/p>\n<p>&#x1f4a1; \u4e24\u6761\u8def\u5c31\u50cf\u4e24\u79cd\u519b\u961f&#xff1a;\u4e00\u79cd\u662f&#034;\u4eba\u6d77\u6218\u672f&#034;&#xff0c;\u4e00\u79cd\u662f&#034;\u7cbe\u5bc6\u7684\u6d41\u6c34\u7ebf&#034;\u3002\u90fd\u80fd\u6253\u80dc\u4ed7&#xff0c;\u4f46\u6253\u6cd5\u5b8c\u5168\u4e0d\u540c\u3002<\/p>\n<h4>1.4 \u4e32\u884c\u4e0e\u5e76\u884c&#xff1a;\u4e00\u9053&#034;\u5206\u6c64&#034;\u7684\u7b97\u672f\u9898<\/h4>\n<p>\u4e32\u884c\u548c\u5e76\u884c\u7684\u533a\u522b&#xff0c;\u53ef\u4ee5\u7528\u4e00\u9053\u7b80\u5355\u7684\u7b97\u672f\u9898\u8bf4\u6e05\u3002\u5047\u8bbe\u8981\u7b97 100 \u4e2a\u4e92\u4e0d\u76f8\u5173\u7684\u52a0\u6cd5&#xff0c;\u4e32\u884c\u662f\u4e00\u4e2a\u4e00\u4e2a\u7b97&#xff0c;\u7b97 100 \u6b21&#xff1b;\u5e76\u884c\u662f 100 \u4e2a\u540c\u65f6\u7b97&#xff0c;\u7406\u8bba\u4e0a\u53ea\u8981 1 \u6b21\u7684\u65f6\u95f4\u3002<\/p>\n<p>\u5f53\u4efb\u52a1\u53ef\u4ee5\u88ab\u62c6\u6210\u5927\u91cf\u4e92\u4e0d\u4f9d\u8d56\u7684\u5c0f\u4efb\u52a1\u65f6&#xff0c;\u5e76\u884c\u5c31\u662f\u964d\u7ef4\u6253\u51fb\u3002AI \u8ba1\u7b97\u6070\u6070\u6ee1\u8db3\u8fd9\u4e2a\u6761\u4ef6\u2014\u2014\u77e9\u9635\u4e58\u91cc\u7684\u6d77\u91cf\u4e58\u52a0&#xff0c;\u5f7c\u6b64\u72ec\u7acb&#xff0c;\u53ef\u4ee5\u5927\u89c4\u6a21\u5e76\u884c\u3002\u8fd9\u6b63\u662f AI \u786c\u4ef6&#034;\u5806\u6838\u5fc3\u3001\u4e0a\u9635\u5217&#034;\u80fd\u6210\u7acb\u7684\u524d\u63d0\u3002<\/p>\n<p>&#x1f4a1; \u4e32\u884c\u662f&#034;\u4e00\u4e2a\u4eba\u642c 100 \u5757\u7816&#034;&#xff0c;\u5e76\u884c\u662f&#034;100 \u4e2a\u4eba\u5404\u642c 1 \u5757\u7816&#034;\u3002\u7816\u90fd\u4e00\u6837\u91cd&#xff0c;\u4f46\u540e\u8005\u77ac\u95f4\u642c\u5b8c\u3002<\/p>\n<h4>1.5 \u5e76\u884c\u4e0d\u662f\u4e07\u80fd\u836f&#xff1a;\u5b83\u6709\u81ea\u5df1\u7684\u5929\u82b1\u677f<\/h4>\n<p>\u5e76\u884c\u867d\u731b&#xff0c;\u4f46\u4e5f\u6709\u5929\u82b1\u677f\u3002\u4e0d\u662f\u6240\u6709\u8ba1\u7b97\u90fd\u80fd\u65e0\u9650\u5e76\u884c\u2014\u2014\u5982\u679c\u4efb\u52a1\u4e4b\u95f4\u6709\u4f9d\u8d56&#xff08;\u540e\u4e00\u6b65\u5fc5\u987b\u7b49\u524d\u4e00\u6b65\u7684\u7ed3\u679c&#xff09;&#xff0c;\u5c31\u5e76\u884c\u4e0d\u8d77\u6765&#xff0c;\u53ea\u80fd\u4e32\u884c\u7b49\u3002<\/p>\n<p>\u53e6\u5916&#xff0c;\u5e76\u884c\u5ea6\u8d8a\u9ad8&#xff0c;&#034;\u7ec4\u7ec7\u534f\u8c03&#034;\u7684\u5f00\u9500\u4e5f\u8d8a\u5927\u3002\u628a\u4eba\u4ece 1 \u4e2a\u52a0\u5230 100 \u4e2a&#xff0c;\u642c\u7816\u662f\u5feb\u4e86&#xff0c;\u4f46\u5206\u5de5\u3001\u558a\u53f7\u3001\u4f20\u6599\u8fd9\u4e9b\u7ba1\u7406\u6210\u672c\u4e5f\u4e0a\u6765\u4e86\u3002\u5f53\u534f\u8c03\u5f00\u9500\u8d85\u8fc7\u5e76\u884c\u6536\u76ca\u65f6&#xff0c;\u518d\u5806\u4eba\u5c31\u662f\u8d1f\u6536\u76ca\u3002<\/p>\n<p>&#x1f4a1; \u5e76\u884c\u662f&#034;\u4eba\u591a\u529b\u91cf\u5927&#034;&#xff0c;\u4f46&#034;\u4eba\u591a\u5634\u4e5f\u6742&#034;\u3002\u7ec4\u7ec7\u4e0d\u597d&#xff0c;\u4eba\u591a\u53cd\u800c\u6dfb\u4e71\u3002\u8fd9\u6b63\u662f SIMT \u548c\u8109\u52a8\u9635\u5217\u8981\u5404\u81ea\u89e3\u51b3\u7684\u95ee\u9898\u3002<\/p>\n<hr \/>\n<h3>\u4e8c\u3001SIMT&#xff1a;GPU \u7684\u4e07\u6838\u54f2\u5b66<\/h3>\n<h4>2.1 SIMT \u662f\u4ec0\u4e48&#xff1a;\u5355\u6307\u4ee4\u3001\u591a\u7ebf\u7a0b<\/h4>\n<p>SIMT \u662f Single Instruction, Multiple Threads \u7684\u7f29\u5199&#xff0c;\u5373\u5355\u6307\u4ee4\u591a\u7ebf\u7a0b\u3002\u5b83\u7684\u6838\u5fc3\u601d\u60f3\u662f&#xff1a;\u4e00\u6761\u6307\u4ee4&#xff0c;\u540c\u65f6\u9a71\u52a8\u6210\u5343\u4e0a\u4e07\u4e2a\u7ebf\u7a0b&#xff0c;\u6bcf\u4e2a\u7ebf\u7a0b\u5904\u7406\u4e0d\u540c\u7684\u6570\u636e\u3002<\/p>\n<p>GPU \u5185\u90e8\u6709\u6210\u5343\u4e0a\u4e07\u9897\u7b80\u5355\u7684\u8ba1\u7b97\u6838\u5fc3&#xff0c;\u5b83\u4eec\u5171\u4eab\u540c\u4e00\u4e2a\u6307\u4ee4\u6d41&#xff0c;\u4f46\u5404\u81ea\u62ff\u7740\u4e0d\u540c\u7684\u6570\u636e\u5728\u7b97\u3002\u4e00\u4e2a\u6307\u4ee4\u53d1\u4e0b\u53bb&#xff0c;\u4e00\u4e07\u4e2a\u6838\u5fc3\u540c\u65f6\u5f00\u5de5&#xff0c;\u8fd9\u5c31\u662f GPU \u7b97\u529b\u5bc6\u5ea6\u6bd4 CPU \u9ad8\u51fa\u4e00\u4e2a\u6570\u91cf\u7ea7\u7684\u6839\u672c\u539f\u56e0\u3002<\/p>\n<p>&#x1f4a1; SIMT \u662f&#034;\u5e7f\u64ad\u4f53\u64cd&#034;\u2014\u2014\u9886\u64cd\u5458\u558a\u4e00\u4e2a\u53e3\u4ee4&#xff08;\u5355\u6307\u4ee4&#xff09;&#xff0c;\u5168\u573a\u4e00\u4e07\u4e2a\u4eba&#xff08;\u591a\u7ebf\u7a0b&#xff09;\u540c\u65f6\u505a&#xff0c;\u4f46\u6bcf\u4e2a\u4eba\u7ad9\u7684\u4f4d\u7f6e\u4e0d\u540c&#xff08;\u4e0d\u540c\u6570\u636e&#xff09;\u3002<\/p>\n<h4>2.2 \u4e3a\u4ec0\u4e48 GPU \u7684\u6838\u5fc3\u8981&#034;\u7b80\u5355&#034;<\/h4>\n<p>CPU \u6838\u5fc3\u8bbe\u8ba1\u5f97\u5f88&#034;\u91cd&#034;&#xff1a;\u590d\u6742\u7684\u6d41\u6c34\u7ebf\u3001\u5206\u652f\u9884\u6d4b\u3001\u4e71\u5e8f\u6267\u884c&#xff0c;\u4e3a\u7684\u662f\u628a\u5355\u7ebf\u7a0b\u8dd1\u5f97\u98de\u5feb\u3002\u4f46\u4ee3\u4ef7\u662f\u5355\u4e2a\u6838\u5fc3\u53c8\u5927\u53c8\u8d35\u53c8\u8d39\u7535\u3002<\/p>\n<p>GPU \u53cd\u5176\u9053\u800c\u884c&#xff1a;\u6838\u5fc3\u8bbe\u8ba1\u5f97\u6781\u7b80&#xff0c;\u780d\u6389\u90a3\u4e9b\u4e3a\u5355\u7ebf\u7a0b\u63d0\u901f\u7684\u590d\u6742\u903b\u8f91&#xff0c;\u7528\u6570\u91cf\u6362\u6027\u80fd\u3002\u4e00\u4e2a\u6838\u5fc3\u4e0d\u591f&#xff0c;\u5c31\u6765\u4e00\u4e07\u4e2a\u3002\u7b80\u5355\u6838\u5fc3\u5806\u79ef\u8d77\u6765&#xff0c;\u603b\u7684\u7b97\u529b\u5bc6\u5ea6\u53cd\u800c\u8fdc\u8d85\u590d\u6742\u6838\u5fc3\u3002<\/p>\n<p>&#x1f4a1; CPU \u6838\u5fc3\u662f&#034;\u8c6a\u534e\u529e\u516c\u5ba4&#034;&#xff0c;GPU \u6838\u5fc3\u662f&#034;\u5f00\u653e\u5f0f\u5de5\u4f4d&#034;\u3002\u5de5\u4f4d\u867d\u7b80\u964b&#xff0c;\u4f46\u80fd\u585e\u4e0b\u51e0\u5343\u4eba\u540c\u65f6\u5e72\u6d3b&#xff0c;\u6574\u4f53\u4ea7\u51fa\u78be\u538b\u3002<\/p>\n<h4>2.3 \u7ebf\u7a0b\u7684\u7ec4\u7ec7&#xff1a;\u4ece\u7ebf\u7a0b\u5230 Warp<\/h4>\n<p>GPU \u7684\u7ebf\u7a0b\u4e0d\u662f\u4e00\u76d8\u6563\u6c99&#xff0c;\u800c\u662f\u6309\u5c42\u6b21\u7ec4\u7ec7\u7684&#xff1a;\u7ebf\u7a0b&#xff08;Thread&#xff09;\u7ec4\u6210\u7ebf\u7a0b\u675f&#xff08;Warp&#xff0c;\u901a\u5e38\u662f 32 \u4e2a\u7ebf\u7a0b\u4e00\u7ec4&#xff09;&#xff0c;\u7ebf\u7a0b\u675f\u518d\u7ec4\u6210\u7ebf\u7a0b\u5757&#xff08;Block&#xff09;&#xff0c;\u7ebf\u7a0b\u5757\u518d\u7ec4\u6210\u7f51\u683c&#xff08;Grid&#xff09;\u3002<\/p>\n<p>Warp \u662f GPU \u8c03\u5ea6\u548c\u6267\u884c\u7684\u57fa\u672c\u5355\u4f4d\u2014\u2014\u4e00\u4e2a Warp \u91cc\u7684 32 \u4e2a\u7ebf\u7a0b&#xff0c;\u6267\u884c\u540c\u4e00\u6761\u6307\u4ee4&#xff0c;\u53ea\u662f\u6570\u636e\u4e0d\u540c\u3002\u8fd9\u79cd&#034;\u540c\u6307\u4ee4\u3001\u591a\u6570\u636e&#034;\u7684\u7ec4\u7ec7\u65b9\u5f0f&#xff0c;\u8ba9\u786c\u4ef6\u80fd\u7528\u4e00\u4e2a\u63a7\u5236\u5355\u5143&#xff0c;\u9a71\u52a8\u5927\u91cf\u8ba1\u7b97\u5355\u5143&#xff0c;\u6781\u5927\u8282\u7701\u4e86\u63a7\u5236\u5f00\u9500\u3002<\/p>\n<p>&#x1f4a1; \u7ebf\u7a0b\u7ec4\u7ec7\u662f&#034;\u519b\u961f\u7f16\u5236&#034;\u2014\u2014\u5355\u5175&#xff08;\u7ebf\u7a0b&#xff09;\u7ec4\u6210\u73ed&#xff08;Warp&#xff09;&#xff0c;\u73ed\u7ec4\u6210\u6392&#xff08;Block&#xff09;&#xff0c;\u6392\u7ec4\u6210\u8fde&#xff08;Grid&#xff09;\u3002\u7edf\u4e00\u6307\u6325&#xff0c;\u624d\u80fd\u4e07\u4eba\u9f50\u52a8\u3002<\/p>\n<h4>2.4 SIMT \u7684\u5f3a\u9879\u4e0e\u8f6f\u808b<\/h4>\n<p>SIMT \u7684\u5f3a\u9879\u5f88\u660e\u663e&#xff1a;\u7075\u6d3b\u6027\u6781\u9ad8\u3002\u53ea\u8981\u662f\u80fd\u5e76\u884c\u7684\u8ba1\u7b97&#xff0c;GPU \u90fd\u80fd\u901a\u8fc7\u7f16\u7a0b\u9002\u914d&#xff0c;\u65e0\u8bba\u5377\u79ef\u3001\u77e9\u9635\u4e58\u8fd8\u662f\u5404\u79cd\u81ea\u5b9a\u4e49\u7b97\u5b50&#xff0c;\u90fd\u80fd\u8dd1\u3002<\/p>\n<p>\u4f46 SIMT \u4e5f\u6709\u8f6f\u808b&#xff1a;\u63a7\u5236\u5f00\u9500\u5927\u3002\u4e3a\u4e86\u7ba1\u7406\u6210\u5343\u4e0a\u4e07\u7684\u7ebf\u7a0b\u3001\u5904\u7406\u5206\u652f\u5206\u6b67\u3001\u8c03\u5ea6 Warp&#xff0c;\u786c\u4ef6\u8981\u82b1\u4e0d\u5c11\u529b\u6c14\u5728&#034;\u7ec4\u7ec7\u7ba1\u7406&#034;\u4e0a&#xff0c;\u8fd9\u4e9b\u5f00\u9500\u5e76\u4e0d\u80fd\u76f4\u63a5\u4ea7\u751f\u7b97\u529b\u3002\u4e07\u6838\u54f2\u5b66\u7684\u80cc\u540e&#xff0c;\u662f\u9ad8\u6602\u7684&#034;\u7ba1\u7406\u6210\u672c&#034;\u3002<\/p>\n<p>&#x1f4a1; SIMT \u662f&#034;\u4e07\u80fd\u56e2\u961f&#034;\u2014\u2014\u4ec0\u4e48\u6d3b\u90fd\u80fd\u63a5&#xff0c;\u4f46\u4eba\u592a\u591a&#xff0c;\u5149\u7ba1\u7406\u534f\u8c03\u5c31\u8017\u6389\u4e0d\u5c11\u7cbe\u529b\u3002<\/p>\n<h4>2.5 \u5206\u652f\u5206\u6b67&#xff1a;SIMT \u7684\u4e00\u4e2a\u7ecf\u5178\u75db\u70b9<\/h4>\n<p>SIMT \u6709\u4e2a\u7ecf\u5178\u75db\u70b9\u53eb\u5206\u652f\u5206\u6b67&#xff08;Branch Divergence&#xff09;\u3002\u56e0\u4e3a\u4e00\u4e2a Warp \u91cc 32 \u4e2a\u7ebf\u7a0b\u6267\u884c\u540c\u4e00\u6761\u6307\u4ee4&#xff0c;\u5982\u679c\u5b83\u4eec\u8d70\u5230 if-else \u5206\u652f&#xff0c;\u4e00\u90e8\u5206\u7ebf\u7a0b\u8d70 if&#xff0c;\u53e6\u4e00\u90e8\u5206\u8d70 else&#xff0c;\u786c\u4ef6\u5c31\u53ea\u80fd\u4e24\u6761\u5206\u652f\u90fd\u6267\u884c&#xff0c;\u518d\u5206\u522b\u5c4f\u853d\u4e0d\u76f8\u5173\u7684\u7ebf\u7a0b\u3002<\/p>\n<p>\u8fd9\u610f\u5473\u7740\u5206\u652f\u4f1a\u767d\u767d\u6d6a\u8d39\u7b97\u529b\u2014\u2014\u672c\u6765 32 \u4e2a\u7ebf\u7a0b\u4e00\u8d77\u8dd1&#xff0c;\u7ed3\u679c\u4e00\u534a\u7ebf\u7a0b&#034;\u6253\u9171\u6cb9&#034;\u3002\u8fd9\u4e5f\u662f\u4e3a\u4ec0\u4e48 AI \u8ba1\u7b97\u91cc&#034;\u89c4\u6574\u7684\u77e9\u9635\u4e58&#034;\u6548\u7387\u6700\u9ad8&#xff0c;\u800c&#034;\u5206\u652f\u5bc6\u96c6\u7684\u903b\u8f91&#034;\u5728 GPU \u4e0a\u53cd\u800c\u4e0d\u5212\u7b97\u3002<\/p>\n<p>&#x1f4a1; \u5206\u652f\u5206\u6b67\u662f&#034;\u5c94\u8def\u53e3&#034;\u2014\u2014\u4e00\u4e2a\u73ed 32 \u4eba&#xff0c;\u5230\u4e86\u5c94\u8def\u4e00\u534a\u5f80\u5de6\u4e00\u534a\u5f80\u53f3&#xff0c;\u73ed\u957f\u53ea\u80fd\u5148\u966a\u5de6\u8fb9\u8d70\u5b8c\u518d\u966a\u53f3\u8fb9&#xff0c;\u6548\u7387\u51cf\u534a\u3002<\/p>\n<h4>2.6 \u4ece\u56fe\u5f62\u5230 AI&#xff1a;SIMT \u7684\u4e00\u6b21\u534e\u4e3d\u8f6c\u8eab<\/h4>\n<p>SIMT \u8fd9\u5957\u4e07\u6838\u54f2\u5b66&#xff0c;\u6700\u65e9\u5176\u5b9e\u662f\u4e3a\u56fe\u5f62\u6e32\u67d3\u53d1\u660e\u7684\u3002\u663e\u5361\u8981\u540c\u65f6\u7ed9\u5c4f\u5e55\u4e0a\u6210\u5343\u4e0a\u4e07\u4e2a\u50cf\u7d20\u4e0a\u8272&#xff0c;\u6bcf\u4e2a\u50cf\u7d20\u7684\u7740\u8272\u8ba1\u7b97\u5f7c\u6b64\u72ec\u7acb\u2014\u2014\u8fd9\u548c&#034;\u540c\u6307\u4ee4\u3001\u591a\u6570\u636e&#034;\u7b80\u76f4\u662f\u5929\u4f5c\u4e4b\u5408\u3002<\/p>\n<p>\u540e\u6765\u4eba\u4eec\u53d1\u73b0&#xff0c;AI \u7684\u795e\u7ecf\u7f51\u7edc\u8ba1\u7b97&#xff0c;\u548c\u56fe\u5f62\u6e32\u67d3\u6709\u7740\u60ca\u4eba\u7684\u76f8\u4f3c&#xff1a;\u90fd\u662f\u6d77\u91cf\u72ec\u7acb\u7684\u5c0f\u8ba1\u7b97\u3002\u4e8e\u662f GPU \u987a\u7406\u6210\u7ae0\u5730\u88ab\u642c\u6765\u8dd1 AI&#xff0c;\u4ece&#034;\u6e38\u620f\u663e\u5361&#034;\u6447\u8eab\u4e00\u53d8\u6210\u4e3a&#034;AI \u7b97\u529b\u4e3b\u529b&#034;\u3002SIMT \u7684\u7075\u6d3b\u6027&#xff0c;\u8ba9\u8fd9\u6b21\u8f6c\u8eab\u51e0\u4e4e\u96f6\u6210\u672c\u3002<\/p>\n<p>&#x1f4a1; SIMT \u7684\u8f6c\u8eab\u662f&#034;\u8de8\u754c\u6f14\u5458&#034;\u2014\u2014\u672c\u662f\u6f14\u56fe\u5f62\u7684&#xff0c;\u53d1\u73b0 AI \u8fd9\u51fa\u620f\u4e5f\u5408\u9002&#xff0c;\u76f4\u63a5\u4e0a\u53f0\u5c31\u6210\u4e86\u4e3b\u89d2\u3002\u7075\u6d3b\u6027&#xff0c;\u5c31\u662f\u5b83\u6700\u5927\u7684\u672c\u94b1\u3002<\/p>\n<hr \/>\n<h3>\u4e09\u3001\u8109\u52a8\u9635\u5217&#xff1a;TPU\/NPU \u7684\u6d41\u52a8\u54f2\u5b66<\/h3>\n<h4>3.1 \u8109\u52a8\u9635\u5217\u662f\u4ec0\u4e48&#xff1a;\u6570\u636e\u6d41\u52a8&#xff0c;\u800c\u975e\u53cd\u590d\u8bfb\u5199<\/h4>\n<p>\u8109\u52a8\u9635\u5217&#xff08;Systolic Array&#xff09;\u662f\u53e6\u4e00\u6761\u8def\u3002\u5b83\u7684\u6838\u5fc3\u601d\u60f3\u662f&#xff1a;\u6570\u636e\u5728\u8ba1\u7b97\u5355\u5143\u4e4b\u95f4\u6d41\u52a8&#xff0c;\u800c\u4e0d\u662f\u53cd\u590d\u8bfb\u5199\u5185\u5b58\u3002<\/p>\n<p>\u5728\u8109\u52a8\u9635\u5217\u91cc&#xff0c;\u8ba1\u7b97\u5355\u5143\u6392\u6210\u77e9\u9635&#xff0c;\u6570\u636e\u50cf\u8109\u640f\u8df3\u52a8\u4e00\u6837&#xff0c;\u4ece\u4e00\u7aef\u8fdb\u5165&#xff0c;\u5728\u5355\u5143\u4e4b\u95f4\u4e00\u7ea7\u4e00\u7ea7\u5730\u4f20\u9012&#xff0c;\u8fb9\u6d41\u52a8\u8fb9\u8ba1\u7b97\u3002\u6743\u91cd\u9884\u52a0\u8f7d\u5230\u8ba1\u7b97\u5355\u5143\u91cc&#xff0c;\u8f93\u5165\u6570\u636e\u4ece\u4e00\u4fa7\u8fdb\u5165&#xff0c;\u6cbf\u7740\u9635\u5217\u8282\u594f\u6027\u5730\u6d41\u52a8&#xff0c;\u50cf\u5fc3\u810f\u6cf5\u8840\u4e00\u6837&#xff0c;\u6e90\u6e90\u4e0d\u65ad\u3002<\/p>\n<p>&#x1f4a1; \u8109\u52a8\u9635\u5217\u662f&#034;\u6d41\u6c34\u7ebf\u5de5\u5382&#034;\u2014\u2014\u539f\u6599&#xff08;\u8f93\u5165&#xff09;\u4ece\u4e00\u5934\u8fdb&#xff0c;\u7ecf\u8fc7\u6bcf\u9053\u5de5\u5e8f&#xff08;\u8ba1\u7b97\u5355\u5143&#xff09;\u65f6\u88ab\u52a0\u5de5&#xff0c;\u6210\u54c1\u4ece\u53e6\u4e00\u5934\u51fa&#xff0c;\u4e2d\u95f4\u4e0d\u9700\u8981\u628a\u534a\u6210\u54c1\u642c\u56de\u4ed3\u5e93&#xff08;\u5185\u5b58&#xff09;\u3002<\/p>\n<h4>3.2 \u4e3a\u4ec0\u4e48\u6d41\u52a8\u80fd\u7701\u4f20\u8f93\u5f00\u9500<\/h4>\n<p>\u4f20\u7edf\u67b6\u6784\u91cc&#xff0c;\u6bcf\u7b97\u4e00\u6b65\u90fd\u8981\u628a\u6570\u636e\u4ece\u5185\u5b58\u8bfb\u51fa\u6765\u3001\u7b97\u5b8c\u518d\u5199\u56de\u5185\u5b58\u3002\u5185\u5b58\u8bfb\u5199\u662f\u5de8\u5927\u7684\u74f6\u9888&#xff0c;\u4f20\u8f93\u5f00\u9500\u5c45\u9ad8\u4e0d\u4e0b\u3002<\/p>\n<p>\u8109\u52a8\u9635\u5217\u7684\u7cbe\u9ad3\u5728\u4e8e&#xff1a;\u6570\u636e\u5728\u8ba1\u7b97\u5355\u5143\u4e4b\u95f4\u76f4\u63a5\u4f20\u9012&#xff0c;\u7ed5\u8fc7\u4e86\u53cd\u590d\u7684\u5185\u5b58\u8bfb\u5199\u3002\u6743\u91cd\u9884\u52a0\u8f7d\u540e\u5e38\u9a7b\u8ba1\u7b97\u5355\u5143&#xff0c;\u8f93\u5165\u6570\u636e\u6d41\u52a8\u7740\u5b8c\u6210\u591a\u6b21\u8ba1\u7b97&#xff0c;\u4e2d\u95f4\u7ed3\u679c\u5c31\u5730\u4f20\u9012&#xff0c;\u4e0d\u518d\u9891\u7e41\u8fdb\u51fa\u5185\u5b58\u3002\u4f20\u8f93\u5f00\u9500\u56e0\u6b64\u4e0b\u964d\u4e00\u4e2a\u6570\u91cf\u7ea7\u4ee5\u4e0a\u3002<\/p>\n<p>&#x1f4a1; \u6d41\u52a8\u662f&#034;\u6d41\u6c34\u7ebf\u4e0d\u505c&#034;\u2014\u2014\u534a\u6210\u54c1\u4e0d\u56de\u6d41\u4ed3\u5e93&#xff0c;\u800c\u662f\u76f4\u63a5\u9001\u5230\u4e0b\u4e00\u9053\u5de5\u5e8f\u3002\u5c11\u4e86\u6765\u56de\u642c\u8fd0&#xff0c;\u6548\u7387\u81ea\u7136\u98d9\u5347\u3002<\/p>\n<h4>3.3 \u8109\u52a8\u9635\u5217\u7684\u8282\u594f&#xff1a;\u50cf\u6cf5\u8840\u4e00\u6837<\/h4>\n<p>\u8109\u52a8\u9635\u5217\u7684\u540d\u5b57\u6765\u81ea&#034;systolic&#034;&#xff08;\u5fc3\u810f\u6536\u7f29&#xff09;\u3002\u5b83\u5f3a\u8c03\u7684\u662f\u4e00\u79cd\u8282\u594f\u611f&#xff1a;\u6570\u636e\u4e0d\u662f\u4e71\u7a9c&#xff0c;\u800c\u662f\u6309\u7167\u56fa\u5b9a\u7684\u8282\u594f&#xff0c;\u4e00\u6b65\u6b65\u5730\u5728\u9635\u5217\u91cc\u63a8\u8fdb\u3002<\/p>\n<p>\u8fd9\u79cd\u8282\u594f\u8ba9\u786c\u4ef6\u7684\u884c\u4e3a\u9ad8\u5ea6\u53ef\u9884\u6d4b\u3001\u53ef\u6d41\u6c34\u7ebf\u5316\u3002\u6bcf\u4e2a\u8ba1\u7b97\u5355\u5143\u5728\u540c\u4e00\u65f6\u523b\u505a\u540c\u4e00\u7c7b\u64cd\u4f5c&#xff0c;\u6570\u636e\u6309\u62cd\u5b50\u6d41\u52a8&#xff0c;\u6574\u4e2a\u9635\u5217\u50cf\u4e00\u53f0\u7cbe\u5bc6\u7684\u5fc3\u810f&#xff0c;\u6709\u8282\u594f\u5730\u628a\u6570\u636e\u6cf5\u8fc7\u6bcf\u4e00\u7ea7\u8ba1\u7b97\u3002<\/p>\n<p>&#x1f4a1; \u8109\u52a8\u9635\u5217\u7684\u8282\u594f\u662f&#034;\u5fc3\u8df3&#034;\u2014\u2014\u6bcf\u4e00\u6b21\u6536\u7f29&#xff0c;\u90fd\u63a8\u7740\u8840\u6db2&#xff08;\u6570\u636e&#xff09;\u5f80\u524d\u6d41\u4e00\u6b65\u3002\u7a33\u5b9a\u3001\u89c4\u5f8b\u3001\u9ad8\u6548\u3002<\/p>\n<h4>3.4 \u8109\u52a8\u9635\u5217\u7684\u5f3a\u9879\u4e0e\u8f6f\u808b<\/h4>\n<p>\u8109\u52a8\u9635\u5217\u7684\u5f3a\u9879\u662f\u6548\u7387\u6781\u9ad8&#xff1a;\u6570\u636e\u6d41\u52a8\u4ee3\u66ff\u5185\u5b58\u8bfb\u5199&#xff0c;\u4f20\u8f93\u5f00\u9500\u5927\u964d&#xff0c;\u7279\u522b\u9002\u5408\u77e9\u9635\u4e58\u6cd5\u8fd9\u7c7b\u89c4\u6574\u3001\u5bc6\u96c6\u7684\u8fd0\u7b97\u3002<\/p>\n<p>\u4f46\u5b83\u7684\u8f6f\u808b\u662f\u4e0d\u7075\u6d3b&#xff1a;\u9635\u5217\u7ed3\u6784\u662f\u4e3a\u7279\u5b9a\u8ba1\u7b97\u6a21\u5f0f&#xff08;\u5982\u77e9\u9635\u4e58&#xff09;\u5b9a\u5236\u7684&#xff0c;\u9047\u5230\u4e0d\u89c4\u6574\u3001\u5206\u652f\u591a\u7684\u8ba1\u7b97&#xff0c;\u5c31\u96be\u4ee5\u53d1\u6325\u3002\u6d41\u52a8\u54f2\u5b66\u5728&#034;\u89c4\u6574\u7684\u6d77\u6d0b&#034;\u91cc\u5982\u9c7c\u5f97\u6c34&#xff0c;\u5728&#034;\u5d0e\u5c96\u7684\u5c71\u8def&#034;\u4e0a\u5374\u4e3e\u6b65\u7ef4\u8270\u3002<\/p>\n<p>&#x1f4a1; \u8109\u52a8\u9635\u5217\u662f&#034;\u4e13\u4e1a\u6d41\u6c34\u7ebf&#034;\u2014\u2014\u505a\u6807\u51c6\u4ef6\u98de\u5feb&#xff0c;\u4e00\u65e6\u6765\u7684\u662f\u975e\u6807\u4ef6&#xff0c;\u5c31\u5361\u58f3\u4e86\u3002<\/p>\n<h4>3.5 &#034;\u6743\u91cd\u9884\u52a0\u8f7d\u3001\u8f93\u5165\u4fa7\u5165&#034;\u5230\u5e95\u600e\u4e48\u8fd0\u4f5c<\/h4>\n<p>\u8109\u52a8\u9635\u5217\u91cc\u4e24\u4e2a\u5173\u952e\u52a8\u4f5c&#xff0c;\u503c\u5f97\u62c6\u5f00\u8bb2\u6e05\u695a&#xff1a;<\/p>\n<ul>\n<li>\u6743\u91cd\u9884\u52a0\u8f7d&#xff1a;\u628a\u6743\u91cd\u6570\u636e\u63d0\u524d&#034;\u9489&#034;\u5728\u8ba1\u7b97\u5355\u5143\u91cc&#xff0c;\u5e38\u9a7b\u4e0d\u52a8\u3002\u8fd9\u6837\u6bcf\u6b21\u7b97\u7684\u65f6\u5019&#xff0c;\u6743\u91cd\u4e0d\u7528\u518d\u4ece\u5185\u5b58\u91cc\u53cd\u590d\u8bfb\u3002<\/li>\n<li>\u8f93\u5165\u4fa7\u5165&#xff1a;\u8f93\u5165\u6570\u636e\u4ece\u9635\u5217\u7684\u4e00\u4fa7\u8fdb\u5165&#xff0c;\u50cf\u6c34\u6d41\u4e00\u6837&#xff0c;\u6cbf\u7740\u884c\u5217\u65b9\u5411\u4f9d\u6b21\u6d41\u8fc7\u5404\u4e2a\u5355\u5143&#xff0c;\u8fb9\u6d41\u8fb9\u548c\u9884\u52a0\u8f7d\u7684\u6743\u91cd\u76f8\u4e58\u7d2f\u52a0\u3002<\/li>\n<\/ul>\n<p>\u201c\u6743\u91cd\u4e0d\u52a8\u3001\u8f93\u5165\u6d41\u52a8\u201d&#xff0c;\u662f\u8109\u52a8\u9635\u5217\u7701\u4f20\u8f93\u7684\u6838\u5fc3\u673a\u5236\u3002\u6743\u91cd\u590d\u7528\u88ab\u62c9\u6ee1&#xff0c;\u8f93\u5165\u53ea\u9700\u626b\u4e00\u904d&#xff0c;\u4e2d\u95f4\u7ed3\u679c\u5728\u5355\u5143\u95f4\u5c31\u5730\u4f20\u9012&#xff0c;\u5185\u5b58\u8bfb\u5199\u88ab\u538b\u5230\u6700\u4f4e\u3002<\/p>\n<p>&#x1f4a1; \u6743\u91cd\u9884\u52a0\u8f7d\u662f&#034;\u5de5\u5177\u5e38\u9a7b\u5de5\u4f4d&#034;\u2014\u2014\u5e38\u7528\u5de5\u5177\u4e0d\u7528\u6bcf\u6b21\u53bb\u4ed3\u5e93\u53d6&#xff1b;\u8f93\u5165\u4fa7\u5165\u662f&#034;\u539f\u6599\u6d41\u6c34\u7ebf&#034;\u2014\u2014\u539f\u6599\u4ece\u4e00\u5934\u8fdb&#xff0c;\u4e00\u8def\u52a0\u5de5&#xff0c;\u4e0d\u5fc5\u6765\u56de\u642c\u8fd0\u3002<\/p>\n<hr \/>\n<h3>\u56db\u3001\u4e24\u6761\u8def\u7684\u9002\u7528\u8fb9\u754c<\/h3>\n<h4>4.1 \u7b97\u529b\u5bc6\u5ea6 vs \u7075\u6d3b\u6027&#xff1a;\u4e00\u6761\u5149\u8c31\u7684\u4e24\u7aef<\/h4>\n<p>SIMT \u548c\u8109\u52a8\u9635\u5217&#xff0c;\u672c\u8d28\u4e0a\u662f**&#034;\u7b97\u529b\u5bc6\u5ea6&#034;\u4e0e&#034;\u7075\u6d3b\u6027&#034;\u7684\u53d6\u820d**&#xff0c;\u5c31\u50cf\u4e00\u6761\u5149\u8c31\u7684\u4e24\u7aef&#xff1a;<\/p>\n<ul>\n<li>SIMT \u504f\u7075\u6d3b&#xff1a;\u4ec0\u4e48\u90fd\u80fd\u8dd1&#xff0c;\u4f46\u6bcf\u5355\u4f4d\u7b97\u529b\u7684\u63a7\u5236\u5f00\u9500\u9ad8&#xff0c;\u7b97\u529b\u5bc6\u5ea6\u76f8\u5bf9\u4f4e\u3002<\/li>\n<li>\u8109\u52a8\u9635\u5217\u504f\u9ad8\u6548&#xff1a;\u89c4\u6574\u8ba1\u7b97\u8dd1\u5f97\u98de\u5feb&#xff0c;\u7b97\u529b\u5bc6\u5ea6\u9ad8&#xff0c;\u4f46\u7075\u6d3b\u6027\u5dee\u3002<\/li>\n<\/ul>\n<p>\u6ca1\u6709\u8c01\u7edd\u5bf9\u66f4\u597d&#xff0c;\u53ea\u6709\u8c01\u66f4\u9002\u5408\u5f53\u524d\u7684\u8ba1\u7b97\u6a21\u5f0f\u3002\u9009\u67b6\u6784&#xff0c;\u5c31\u662f\u5728\u5149\u8c31\u4e0a\u9009\u4e00\u4e2a\u70b9\u3002<\/p>\n<p>&#x1f4a1; \u5149\u8c31\u4e24\u7aef\u662f&#034;\u745e\u58eb\u519b\u5200&#034;\u548c&#034;\u4e13\u4e1a\u83dc\u5200&#034;\u2014\u2014\u745e\u58eb\u519b\u5200\u5565\u90fd\u80fd\u5e72\u4f46\u4e0d\u7cbe&#xff0c;\u4e13\u4e1a\u83dc\u5200\u5207\u83dc\u98de\u5feb\u4f46\u5e72\u4e0d\u4e86\u522b\u7684\u3002<\/p>\n<h4>4.2 \u4f55\u65f6\u9009 SIMT&#xff0c;\u4f55\u65f6\u9009\u8109\u52a8\u9635\u5217<\/h4>\n<p>\u4f55\u65f6\u9009 SIMT&#xff1a;\u8ba1\u7b97\u6a21\u5f0f\u591a\u53d8\u3001\u9700\u8981\u9891\u7e41\u9002\u914d\u65b0\u6a21\u578b\u3001\u65b0\u7b97\u5b50&#xff0c;\u8ffd\u6c42\u901a\u7528\u6027\u548c\u7f16\u7a0b\u751f\u6001\u3002GPU \u5c31\u662f\u5178\u578b&#xff0c;\u9002\u5408\u8bad\u7ec3\u548c\u901a\u7528\u63a8\u7406\u3002<\/p>\n<p>\u4f55\u65f6\u9009\u8109\u52a8\u9635\u5217&#xff1a;\u8ba1\u7b97\u6a21\u5f0f\u56fa\u5b9a\u3001\u89c4\u6574&#xff08;\u5c24\u5176\u77e9\u9635\u4e58&#xff09;&#xff0c;\u8ffd\u6c42\u6781\u81f4\u80fd\u6548\u6bd4\u548c\u7b97\u529b\u5bc6\u5ea6\u3002TPU\u3001NPU \u5c31\u662f\u5178\u578b&#xff0c;\u9002\u5408\u5927\u89c4\u6a21\u3001\u6210\u719f\u7684\u63a8\u7406\u548c\u7279\u5b9a\u8bad\u7ec3\u8d1f\u8f7d\u3002<\/p>\n<p>&#x1f4a1; \u9009\u67b6\u6784\u662f&#034;\u770b\u83dc\u4e0b\u996d&#034;\u2014\u2014\u83dc\u5f0f\u591a\u53d8\u5c31\u8bf7\u4e07\u80fd\u53a8\u5e08&#xff08;SIMT&#xff09;&#xff0c;\u83dc\u5f0f\u56fa\u5b9a\u5c31\u8bf7\u4e13\u7cbe\u5927\u53a8&#xff08;\u8109\u52a8\u9635\u5217&#xff09;\u3002<\/p>\n<h4>4.3 \u73b0\u5b9e\u4e2d\u5f80\u5f80&#034;\u4e24\u8005\u90fd\u8981&#034;<\/h4>\n<p>\u771f\u5b9e\u82af\u7247\u5f88\u5c11&#034;\u4e8c\u9009\u4e00&#034;&#xff0c;\u800c\u662f\u6df7\u5408\u4f7f\u7528\u3002\u5f88\u591a AI \u82af\u7247\u5185\u90e8&#xff0c;\u65e2\u6709\u7c7b\u4f3c SIMT \u7684\u901a\u7528\u5e76\u884c\u5355\u5143&#xff0c;\u53c8\u6709\u8109\u52a8\u9635\u5217\u8fd9\u7c7b\u4e13\u7528\u5355\u5143\u3002<\/p>\n<p>\u901a\u7528\u5355\u5143\u8d1f\u8d23\u7075\u6d3b\u6027&#xff0c;\u4e13\u7528\u9635\u5217\u8d1f\u8d23\u9ad8\u6548\u7387&#xff0c;\u4e24\u8005\u914d\u5408&#xff0c;\u517c\u987e&#034;\u80fd\u8dd1\u65b0\u4e1c\u897f&#034;\u548c&#034;\u628a\u8001\u4e1c\u897f\u8dd1\u5230\u6781\u81f4&#034;\u3002\u8fd9\u5c31\u50cf\u7ec8\u7aef\u5f02\u6784\u8c03\u5ea6\u91cc CPU\/GPU\/NPU \u7684\u5206\u5de5&#xff0c;\u5728\u82af\u7247\u5185\u90e8\u518d\u6b21\u4e0a\u6f14\u3002<\/p>\n<p>&#x1f4a1; \u73b0\u5b9e\u662f&#034;\u6df7\u7f16\u56e2\u961f&#034;\u2014\u2014\u4e07\u91d1\u6cb9\u548c\u4e13\u7cbe\u4e13\u5bb6\u642d\u914d&#xff0c;\u7075\u6d3b\u6027\u4e0e\u6548\u7387\u517c\u5f97\u3002<\/p>\n<h4>4.4 \u8fb9\u754c\u6b63\u5728\u53d8\u6a21\u7cca&#xff1a;\u878d\u5408\u662f\u5927\u52bf\u6240\u8d8b<\/h4>\n<p>\u503c\u5f97\u7559\u610f\u7684\u662f&#xff0c;\u4e24\u6761\u8def\u7684\u8fb9\u754c\u6b63\u5728\u53d8\u6a21\u7cca\u3002GPU \u91cc\u52a0\u4e86 Tensor Core&#xff08;\u7c7b\u8109\u52a8\u9635\u5217\u7684\u4e13\u7528\u5355\u5143&#xff09;&#xff0c;NPU \u91cc\u4e5f\u6709\u7c7b\u4f3c SIMT \u7684\u901a\u7528\u6838\u5fc3&#xff0c;\u5927\u5bb6\u90fd\u4e0d\u518d&#034;\u7eaf\u7cb9&#034;\u3002<\/p>\n<p>\u878d\u5408\u7684\u5e95\u5c42\u903b\u8f91\u5f88\u6734\u7d20&#xff1a;\u7528\u901a\u7528\u5355\u5143\u4fdd\u4f4f&#034;\u4ec0\u4e48\u90fd\u80fd\u7b97&#034;\u7684\u5e95\u7ebf&#xff0c;\u7528\u4e13\u7528\u9635\u5217\u51b2\u9ad8&#034;\u77e9\u9635\u4e58\u8fd9\u79cd\u5927\u5934&#034;\u7684\u6548\u7387\u3002\u65e2\u60f3\u7075\u6d3b\u53c8\u60f3\u9ad8\u6548&#xff0c;\u90a3\u5c31\u628a\u4e24\u79cd\u813e\u6c14\u4e0d\u540c\u7684\u5355\u5143\u88c5\u8fdb\u540c\u4e00\u9897\u82af\u7247&#xff0c;\u8ba9\u8c03\u5ea6\u53bb\u534f\u8c03\u5b83\u4eec\u3002<\/p>\n<p>&#x1f4a1; \u8fb9\u754c\u6a21\u7cca\u662f&#034;\u878d\u5408\u83dc&#034;\u2014\u2014\u4e2d\u9910\u897f\u9910\u4e0d\u518d\u5206\u5f97\u6e05&#xff0c;\u53d6\u5176\u7cbe\u534e\u6df7\u642d\u3002\u82af\u7247\u67b6\u6784\u4e5f\u5728\u8d70\u8fd9\u6761&#034;\u6df7\u642d\u51fa\u5947\u8ff9&#034;\u7684\u8def\u3002<\/p>\n<h4>4.5 \u4e00\u5f20\u56fe\u770b\u61c2\u4e24\u6761\u8def\u7684\u5dee\u5f02<\/h4>\n<p>\u628a\u4e24\u6761\u8def\u7684\u5dee\u5f02\u6d53\u7f29\u6210\u51e0\u7ec4\u5bf9\u6bd4&#xff0c;\u4e00\u76ee\u4e86\u7136&#xff1a;<\/p>\n<table>\n<tr>\u7ef4\u5ea6SIMT&#xff08;GPU&#xff09;\u8109\u52a8\u9635\u5217&#xff08;TPU\/NPU&#xff09;<\/tr>\n<tbody>\n<tr>\n<td>\u6838\u5fc3\u601d\u60f3<\/td>\n<td>\u5355\u6307\u4ee4\u9a71\u52a8\u4e07\u6838<\/td>\n<td>\u6570\u636e\u5728\u5355\u5143\u95f4\u6d41\u52a8<\/td>\n<\/tr>\n<tr>\n<td>\u4f18\u52bf<\/td>\n<td>\u7075\u6d3b\u3001\u901a\u7528<\/td>\n<td>\u9ad8\u6548\u3001\u7701\u4f20\u8f93<\/td>\n<\/tr>\n<tr>\n<td>\u8f6f\u808b<\/td>\n<td>\u63a7\u5236\u5f00\u9500\u5927\u3001\u5206\u652f\u5206\u6b67<\/td>\n<td>\u4e0d\u7075\u6d3b\u3001\u6311\u8ba1\u7b97<\/td>\n<\/tr>\n<tr>\n<td>\u6570\u636e\u65b9\u5f0f<\/td>\n<td>\u5404\u6838\u5fc3\u8bfb\u5199\u5185\u5b58<\/td>\n<td>\u6743\u91cd\u5e38\u9a7b\u3001\u8f93\u5165\u6d41\u52a8<\/td>\n<\/tr>\n<tr>\n<td>\u5178\u578b\u573a\u666f<\/td>\n<td>\u8bad\u7ec3\u3001\u901a\u7528\u63a8\u7406<\/td>\n<td>\u77e9\u9635\u4e58\u3001\u6210\u719f\u63a8\u7406<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u8fd9\u5f20\u8868\u4e0d\u662f\u8ba9\u4f60\u4e8c\u9009\u4e00&#xff0c;\u800c\u662f\u5e2e\u4f60\u5224\u65ad&#xff1a;\u5f53\u4efb\u52a1\u504f\u7075\u6d3b&#xff0c;\u5f80\u5de6\u770b&#xff1b;\u5f53\u4efb\u52a1\u504f\u89c4\u6574\u9ad8\u6548&#xff0c;\u5f80\u53f3\u770b\u3002\u5fc3\u91cc\u6709\u8fd9\u5f20\u8868&#xff0c;\u9009\u82af\u7247\u3001\u5199\u4ee3\u7801\u90fd\u4e0d\u614c\u3002<\/p>\n<p>&#x1f4a1; \u5bf9\u6bd4\u8868\u662f&#034;\u83dc\u5355&#034;\u2014\u2014\u770b\u6e05\u695a\u6bcf\u9053\u83dc\u7684\u98df\u6750\u548c\u53e3\u5473&#xff0c;\u624d\u77e5\u9053\u4eca\u5929\u8be5\u70b9\u54ea\u9053\u3002\u70b9\u5bf9\u4e86&#xff0c;\u624d\u5403\u5f97\u723d\u3002<\/p>\n<hr \/>\n<h3>\u4e94\u3001\u67b6\u6784\u9009\u62e9\u5f71\u54cd\u4e0a\u5c42\u7f16\u7a0b<\/h3>\n<h4>5.1 \u67b6\u6784\u7684&#034;\u813e\u6c14&#034;&#xff0c;\u5199\u8fdb\u4e86\u7f16\u7a0b\u6a21\u578b\u91cc<\/h4>\n<p>\u5e95\u5c42\u67b6\u6784\u7684\u9009\u62e9&#xff0c;\u76f4\u63a5\u51b3\u5b9a\u4e86\u4e0a\u5c42\u600e\u4e48\u7f16\u7a0b\u3002SIMT \u7684 GPU \u50ac\u751f\u4e86 CUDA \u8fd9\u7c7b\u7f16\u7a0b\u6a21\u578b\u2014\u2014\u7a0b\u5e8f\u5458\u8981\u663e\u5f0f\u5730\u7ba1\u7406\u7ebf\u7a0b\u3001\u7ebf\u7a0b\u5757\u3001\u5171\u4eab\u5185\u5b58&#xff0c;\u56e0\u4e3a\u786c\u4ef6\u5c31\u662f\u8fd9\u4e48\u7ec4\u7ec7\u7684\u3002<\/p>\n<p>\u8109\u52a8\u9635\u5217\u5219\u66f4\u591a\u88ab\u6846\u67b6\u548c\u7f16\u8bd1\u5668&#034;\u85cf\u8d77\u6765&#034;\u2014\u2014\u7a0b\u5e8f\u5458\u4e0d\u7528\u5173\u5fc3\u6570\u636e\u600e\u4e48\u6d41\u52a8&#xff0c;\u53ea\u9700\u5199\u9ad8\u5c42\u7684\u77e9\u9635\u8fd0\u7b97&#xff0c;\u7f16\u8bd1\u5668\u81ea\u52a8\u6620\u5c04\u5230\u9635\u5217\u4e0a\u3002\u67b6\u6784\u7684\u813e\u6c14&#xff0c;\u51b3\u5b9a\u4e86\u7a0b\u5e8f\u5458\u79bb\u786c\u4ef6\u7684\u8fdc\u8fd1\u3002<\/p>\n<p>&#x1f4a1; \u67b6\u6784\u662f&#034;\u5730\u57fa&#034;&#xff0c;\u7f16\u7a0b\u6a21\u578b\u662f&#034;\u623f\u5b50&#034;\u3002\u5730\u57fa\u4ec0\u4e48\u6837&#xff0c;\u623f\u5b50\u5c31\u600e\u4e48\u76d6\u3002\u9009\u9519\u4e86\u5730\u57fa&#xff0c;\u623f\u5b50\u518d\u6f02\u4eae\u4e5f\u76d6\u4e0d\u8d77\u6765\u3002<\/p>\n<h4>5.2 SIMT \u7f16\u7a0b&#xff1a;\u628a\u5e76\u884c&#034;\u644a\u5f00&#034;\u7ed9\u7a0b\u5e8f\u5458\u770b<\/h4>\n<p>\u5728 GPU \u4e0a\u5199\u7a0b\u5e8f&#xff08;\u5982 CUDA&#xff09;&#xff0c;\u7a0b\u5e8f\u5458\u8981\u663e\u5f0f\u5730\u601d\u8003\u5e76\u884c&#xff1a;\u8fd9\u4e2a\u8ba1\u7b97\u600e\u4e48\u62c6\u6210\u7ebf\u7a0b&#xff1f;\u7ebf\u7a0b\u600e\u4e48\u7ec4\u7ec7\u6210\u5757&#xff1f;\u5171\u4eab\u5185\u5b58\u600e\u4e48\u7528&#xff1f;\u6570\u636e\u600e\u4e48\u5bf9\u9f50&#xff1f;<\/p>\n<p>\u8fd9\u79cd&#034;\u644a\u5f00&#034;\u5e26\u6765\u7684\u597d\u5904\u662f\u63a7\u5236\u529b\u6781\u5f3a&#xff0c;\u574f\u5904\u662f\u95e8\u69db\u9ad8\u3001\u6613\u51fa\u9519\u3002\u7a0b\u5e8f\u5458\u79bb\u786c\u4ef6\u5f88\u8fd1&#xff0c;\u80fd\u69a8\u51fa\u6027\u80fd&#xff0c;\u4f46\u4e5f\u8981\u4e3a\u786c\u4ef6\u7ec6\u8282\u8d1f\u8d23\u3002SIMT \u7684\u7075\u6d3b\u6027&#xff0c;\u662f\u4ee5\u7a0b\u5e8f\u5458\u7684\u8f9b\u52b3\u4e3a\u4ee3\u4ef7\u7684\u3002<\/p>\n<p>&#x1f4a1; SIMT \u7f16\u7a0b\u662f&#034;\u624b\u5199\u83dc\u8c31&#034;\u2014\u2014\u6bcf\u4e2a\u6b65\u9aa4\u3001\u6bcf\u6837\u8c03\u6599\u90fd\u8981\u5199\u6e05\u695a&#xff0c;\u7d2f&#xff0c;\u4f46\u80fd\u505a\u51fa\u53e3\u5473\u72ec\u7279\u7684\u83dc\u3002<\/p>\n<h4>5.3 \u8109\u52a8\u9635\u5217\u7f16\u7a0b&#xff1a;\u628a\u6d41\u52a8&#034;\u85cf\u8d77\u6765&#034;<\/h4>\n<p>\u8109\u52a8\u9635\u5217\u4e0a\u7684\u7f16\u7a0b&#xff0c;\u5219\u88ab\u6846\u67b6\u548c\u7f16\u8bd1\u5668&#034;\u85cf\u8d77\u6765&#034;\u3002\u7a0b\u5e8f\u5458\u53ea\u5199\u9ad8\u5c42\u7b97\u5b50&#xff08;\u5982\u77e9\u9635\u4e58&#xff09;&#xff0c;\u5269\u4e0b\u7684\u6570\u636e\u6d41\u52a8\u3001\u9635\u5217\u6620\u5c04\u3001\u8282\u594f\u63a7\u5236&#xff0c;\u5168\u7531\u7f16\u8bd1\u5668\u4ee3\u52b3\u3002<\/p>\n<p>\u8fd9\u79cd&#034;\u85cf\u8d77\u6765&#034;\u7684\u597d\u5904\u662f\u4e0a\u624b\u5feb\u3001\u4e0d\u6613\u9519&#xff0c;\u574f\u5904\u662f\u96be\u4ee5\u5fae\u8c03\u2014\u2014\u5f53\u6027\u80fd\u4e0d\u8fbe\u9884\u671f\u65f6&#xff0c;\u7a0b\u5e8f\u5458\u5f88\u96be\u50cf\u8c03 GPU \u90a3\u6837&#034;\u624b\u628a\u624b&#034;\u4f18\u5316\u3002\u8109\u52a8\u9635\u5217\u7684\u9ad8\u6548&#xff0c;\u662f\u4ee5\u7a0b\u5e8f\u5458\u5931\u53bb\u90e8\u5206\u63a7\u5236\u529b\u4e3a\u4ee3\u4ef7\u7684\u3002<\/p>\n<p>&#x1f4a1; \u8109\u52a8\u9635\u5217\u7f16\u7a0b\u662f&#034;\u70b9\u5916\u5356&#034;\u2014\u2014\u62a5\u4e2a\u83dc\u540d&#xff08;\u77e9\u9635\u4e58&#xff09;&#xff0c;\u5269\u4e0b\u7684\u4ea4\u7ed9\u540e\u53a8\u3002\u7701\u4e8b&#xff0c;\u4f46\u53e3\u5473\u6ca1\u5f97\u6311\u3002<\/p>\n<h4>5.4 \u597d\u7684\u7f16\u7a0b\u6a21\u578b&#xff0c;\u662f&#034;\u7ffb\u8bd1&#034;\u67b6\u6784\u7684\u813e\u6c14<\/h4>\n<p>\u65e0\u8bba\u662f SIMT \u7684\u663e\u5f0f\u5e76\u884c&#xff0c;\u8fd8\u662f\u8109\u52a8\u9635\u5217\u7684\u9690\u85cf\u6d41\u52a8&#xff0c;\u597d\u7684\u7f16\u7a0b\u6a21\u578b\u90fd\u662f\u5728&#034;\u7ffb\u8bd1&#034;\u5e95\u5c42\u67b6\u6784\u7684\u813e\u6c14&#xff0c;\u8ba9\u7a0b\u5e8f\u5458\u7528\u6700\u81ea\u7136\u7684\u65b9\u5f0f&#xff0c;\u5199\u51fa\u67b6\u6784\u6700\u80fd\u53d1\u6325\u7684\u4ee3\u7801\u3002<\/p>\n<p>\u7406\u89e3\u4e86\u4e24\u7c7b\u67b6\u6784\u7684\u672c\u8d28&#xff0c;\u518d\u53bb\u770b CUDA\u3001Tensor Core\u3001NPU \u7684\u7f16\u7a0b\u63a5\u53e3&#xff0c;\u5c31\u4e0d\u53ea\u662f\u8bb0 API&#xff0c;\u800c\u662f\u770b\u61c2\u5b83\u4eec\u80cc\u540e&#034;\u4e3a\u4ec0\u4e48\u8fd9\u4e48\u8bbe\u8ba1&#034;\u3002\u8fd9\u6b63\u662f\u4ece&#034;\u4f1a\u7528&#034;\u5230&#034;\u4f1a\u9009\u3001\u4f1a\u4f18\u5316&#034;\u7684\u5206\u6c34\u5cad\u3002<\/p>\n<p>&#x1f4a1; \u597d\u7684\u7f16\u7a0b\u6a21\u578b\u662f&#034;\u7ffb\u8bd1\u5b98&#034;\u2014\u2014\u628a\u786c\u4ef6\u7684\u813e\u6c14&#xff0c;\u7ffb\u8bd1\u6210\u7a0b\u5e8f\u5458\u542c\u5f97\u61c2\u7684\u8bdd\u3002\u542c\u61c2\u4e86\u813e\u6c14&#xff0c;\u624d\u80fd\u914d\u5408\u9ed8\u5951\u3002<\/p>\n<h4>5.5 \u7ed9\u5f00\u53d1\u8005\u7684\u4e09\u6761\u9009\u62e9\u5efa\u8bae<\/h4>\n<p>\u7406\u89e3\u4e86\u67b6\u6784\u5982\u4f55\u5f71\u54cd\u7f16\u7a0b&#xff0c;\u843d\u5230\u5f00\u53d1\u5b9e\u8df5&#xff0c;\u53ef\u4ee5\u603b\u7ed3\u4e09\u6761\u5efa\u8bae&#xff1a;<\/p>\n<ul>\n<li>\u5148\u770b\u8d1f\u8f7d\u5f62\u6001&#xff1a;\u4f60\u7684\u8ba1\u7b97\u662f\u89c4\u6574\u7684\u77e9\u9635\u4e58\u4e3a\u4e3b&#xff0c;\u8fd8\u662f\u5206\u652f\u591a\u3001\u53d8\u5316\u5927&#xff1f;\u524d\u8005\u4f18\u5148\u8003\u8651\u80fd\u53d1\u6325\u4e13\u7528\u9635\u5217\u7684 NPU\/TPU&#xff0c;\u540e\u8005\u4f18\u5148\u8003\u8651 GPU\u3002<\/li>\n<li>\u518d\u770b\u7f16\u7a0b\u751f\u6001&#xff1a;\u9700\u8981\u5feb\u901f\u8fed\u4ee3\u3001\u9891\u7e41\u6539\u6a21\u578b&#xff0c;\u9009\u751f\u6001\u6210\u719f\u7684 SIMT&#xff08;GPU&#xff09;&#xff1b;\u6a21\u578b\u56fa\u5b9a\u3001\u8ffd\u6c42\u6781\u81f4\u90e8\u7f72&#xff0c;\u9009\u4e13\u7528\u52a0\u901f\u5668\u3002<\/li>\n<li>\u6700\u540e\u770b\u4f18\u5316\u6df1\u5ea6&#xff1a;\u613f\u610f\u624b\u5199\u7b97\u5b50\u3001\u69a8\u5e72\u6027\u80fd&#xff0c;SIMT \u7ed9\u4f60\u7684\u638c\u63a7\u529b\u66f4\u5f3a&#xff1b;\u53ea\u60f3\u7528\u9ad8\u5c42 API\u3001\u7701\u5fc3\u7701\u529b&#xff0c;\u4e13\u7528\u9635\u5217\u7684\u5c01\u88c5\u66f4\u53cb\u597d\u3002<\/li>\n<\/ul>\n<p>\u67b6\u6784\u6ca1\u6709\u6807\u51c6\u7b54\u6848&#xff0c;\u53ea\u6709&#034;\u5408\u4e0d\u5408\u9002&#034;\u3002\u628a\u5e95\u5c42\u8303\u5f0f\u641e\u660e\u767d&#xff0c;\u518d\u56de\u5934\u770b\u8fd9\u4e9b\u9009\u62e9&#xff0c;\u5c31\u4e0d\u518d\u662f\u62cd\u8111\u888b&#xff0c;\u800c\u662f\u6709\u636e\u53ef\u4f9d\u3002<\/p>\n<p>&#x1f4a1; \u9009\u67b6\u6784\u662f&#034;\u9009\u5de5\u5177&#034;\u2014\u2014\u5148\u60f3\u6e05\u695a\u8981\u5e72\u4ec0\u4e48\u6d3b&#xff0c;\u518d\u51b3\u5b9a\u7528\u9524\u5b50\u8fd8\u662f\u7528\u952f\u5b50\u3002\u6d3b\u513f\u6ca1\u60f3\u6e05&#xff0c;\u5de5\u5177\u518d\u597d\u4e5f\u767d\u642d\u3002<\/p>\n<h4>5.6 \u7406\u89e3\u5e95\u5c42&#xff0c;\u624d\u80fd\u4e0d\u88ab\u53c2\u6570\u5ffd\u60a0<\/h4>\n<p>\u6700\u540e\u8865\u4e00\u53e5\u5b9e\u5728\u8bdd&#xff1a;\u7406\u89e3\u4e86 SIMT \u548c\u8109\u52a8\u9635\u5217\u7684\u5e95\u5c42\u5dee\u5f02&#xff0c;\u4f60\u5c31\u5f88\u96be\u518d\u88ab\u5382\u5546\u7684\u53c2\u6570\u8868\u5ffd\u60a0\u3002\u770b\u5230&#034;XX \u6838\u5fc3&#034;&#034;XX TOPS&#034;\u65f6&#xff0c;\u4f60\u4f1a\u591a\u95ee\u4e00\u53e5&#xff1a;\u8fd9\u7b97\u529b\u662f SIMT \u90a3\u79cd\u7075\u6d3b\u7b97\u529b&#xff0c;\u8fd8\u662f\u8109\u52a8\u9635\u5217\u90a3\u79cd\u4e13\u7528\u7b97\u529b&#xff1f;\u662f\u80fd\u8dd1\u6240\u6709\u7b97\u5b50&#xff0c;\u8fd8\u662f\u53ea\u5bf9\u77e9\u9635\u4e58\u6709\u6548&#xff1f;<\/p>\n<p>\u540c\u6837\u7684\u6570\u5b57&#xff0c;\u80cc\u540e\u7684&#034;\u813e\u6c14&#034;\u5b8c\u5168\u4e0d\u540c\u3002\u7075\u6d3b\u7b97\u529b\u548c\u4e13\u7528\u7b97\u529b&#xff0c;\u5c31\u50cf&#034;\u901a\u624d\u7684\u9ad8\u8003\u603b\u5206&#034;\u548c&#034;\u4e13\u624d\u7684\u5355\u79d1\u72b6\u5143&#034;&#xff0c;\u6ca1\u6cd5\u76f4\u63a5\u6bd4\u5927\u5c0f\u3002\u770b\u61c2\u5e95\u5c42\u8303\u5f0f&#xff0c;\u624d\u662f\u770b\u61c2\u82af\u7247\u7684\u7b2c\u4e00\u6b65\u3002<\/p>\n<p>&#x1f4a1; \u7406\u89e3\u5e95\u5c42\u662f&#034;\u770b\u4f53\u68c0\u62a5\u544a&#034;\u2014\u2014\u4e0d\u80fd\u53ea\u770b\u4e00\u4e2a\u603b\u6570\u5b57&#xff0c;\u5f97\u770b\u6bcf\u4e2a\u6307\u6807\u80cc\u540e\u7684\u542b\u4e49\u3002\u770b\u61c2\u4e86&#xff0c;\u624d\u4e0d\u4f1a\u88ab\u6f02\u4eae\u7684\u6570\u5b57\u5e26\u504f\u3002\u8bf4\u5230\u5e95&#xff0c;\u67b6\u6784\u8fd9\u95e8\u8bfe&#xff0c;\u5b66\u7684\u4ece\u6765\u4e0d\u662f\u7ed3\u8bba&#xff0c;\u800c\u662f&#034;\u4e3a\u4ec0\u4e48\u8fd9\u4e48\u8bbe\u8ba1&#034;\u7684\u601d\u7ef4\u65b9\u5f0f\u3002<\/p>\n<hr \/>\n<h3>\u914d\u56fe<\/h3>\n<h4>\u56fe 1&#xff1a;SIMT \u4e07\u6838\u540c\u6307\u4ee4\u591a\u7ebf\u7a0b\u793a\u610f\u56fe<\/h4>\n<p>flowchart TB<br \/>\n    I[\u540c\u4e00\u6761\u6307\u4ee4] &#8211;&gt; C1[\u6838\u5fc31 \u5904\u7406\u6570\u636e1]<br \/>\n    I &#8211;&gt; C2[\u6838\u5fc32 \u5904\u7406\u6570\u636e2]<br \/>\n    I &#8211;&gt; C3[\u6838\u5fc33 \u5904\u7406\u6570\u636e3]<br \/>\n    I &#8211;&gt; C4[\u6838\u5fc3&#8230; \u5904\u7406\u6570\u636e&#8230;]<br \/>\n    I &#8211;&gt; CN[\u6838\u5fc3N \u5904\u7406\u6570\u636eN]<\/p>\n<p>\u540c\u4e00\u6761\u6307\u4ee4\u540c\u65f6\u9a71\u52a8\u6210\u5343\u4e0a\u4e07\u9897\u6838\u5fc3&#xff0c;\u6bcf\u9897\u6838\u5fc3\u5904\u7406\u4e0d\u540c\u6570\u636e&#xff0c;\u8fd9\u5c31\u662f SIMT&#034;\u4e07\u6838\u54f2\u5b66&#034;\u3002<\/p>\n<h4>\u56fe 2&#xff1a;SIMT vs \u8109\u52a8\u9635\u5217 \u6570\u636e\u6d41\u52a8\u65b9\u5f0f\u5bf9\u6bd4<\/h4>\n<p>flowchart LR<br \/>\n    subgraph SIMT[ SIMT&#xff1a;\u6838\u5fc3\u5404\u81ea\u8bfb\u5185\u5b58 ]<br \/>\n        M1[\u5185\u5b58] &#8211;&gt; A[\u6838\u5fc3A]<br \/>\n        M1 &#8211;&gt; B[\u6838\u5fc3B]<br \/>\n        M1 &#8211;&gt; C[\u6838\u5fc3C]<br \/>\n    end<br \/>\n    subgraph SA[ \u8109\u52a8\u9635\u5217&#xff1a;\u6570\u636e\u5728\u5355\u5143\u95f4\u6d41\u52a8 ]<br \/>\n        D[\u8f93\u5165] &#8211;&gt; E[\u5355\u51431] &#8211;&gt; F[\u5355\u51432] &#8211;&gt; G[\u5355\u51433] &#8211;&gt; H[\u8f93\u51fa]<br \/>\n    end<\/p>\n<p>SIMT \u91cc\u5404\u6838\u5fc3\u53cd\u590d\u8bfb\u5199\u5185\u5b58&#xff1b;\u8109\u52a8\u9635\u5217\u91cc\u6570\u636e\u5728\u8ba1\u7b97\u5355\u5143\u95f4\u4e00\u7ea7\u7ea7\u6d41\u52a8&#xff0c;\u6743\u91cd\u9884\u52a0\u8f7d\u3001\u8f93\u5165\u4fa7\u5165&#xff0c;\u5927\u5e45\u51cf\u5c11\u5185\u5b58\u8bfb\u5199\u3002<\/p>\n<hr \/>\n<h3>\u5199\u5728\u6700\u540e<\/h3>\n<p>SIMT \u4e0e\u8109\u52a8\u9635\u5217&#xff0c;\u662f AI \u5e76\u884c\u8ba1\u7b97\u7684\u4e24\u6761\u5e95\u5c42\u8def&#xff1a;SIMT \u7528&#034;\u4e07\u6838\u540c\u6307\u4ee4&#034;\u6362\u7075\u6d3b\u6027&#xff0c;\u8109\u52a8\u9635\u5217\u7528&#034;\u6570\u636e\u6d41\u52a8&#034;\u6362\u9ad8\u6548\u7387\u3002SIMT \u8ba9 GPU \u4ec0\u4e48\u90fd\u80fd\u8dd1&#xff0c;\u4f46\u63a7\u5236\u5f00\u9500\u5927&#xff1b;\u8109\u52a8\u9635\u5217\u8ba9 TPU\/NPU \u8dd1\u77e9\u9635\u4e58\u98de\u5feb&#xff0c;\u4f46\u4e0d\u7075\u6d3b\u3002<\/p>\n<p>\u56de\u987e\u8fd9\u4e00\u7bc7\u7684\u7ebf\u7d22&#xff1a;\u4e3a\u4ec0\u4e48 AI \u8981\u5e76\u884c&#xff1f; \u56e0\u4e3a\u795e\u7ecf\u7f51\u7edc\u5929\u7136\u53ef\u5e76\u884c&#xff0c;\u5355\u6838\u7b97\u529b\u4e0d\u591f&#xff1b;SIMT \u662f\u4ec0\u4e48&#xff1f; \u5355\u6307\u4ee4\u591a\u7ebf\u7a0b&#xff0c;\u6210\u5343\u4e0a\u4e07\u7b80\u5355\u6838\u5fc3\u540c\u6307\u4ee4\u5904\u7406\u4e0d\u540c\u6570\u636e&#xff1b;\u8109\u52a8\u9635\u5217\u662f\u4ec0\u4e48&#xff1f; \u6570\u636e\u5728\u8ba1\u7b97\u5355\u5143\u95f4\u6d41\u52a8&#xff0c;\u6743\u91cd\u9884\u52a0\u8f7d\u3001\u8f93\u5165\u4fa7\u5165&#xff0c;\u4f20\u8f93\u5f00\u9500\u964d\u4e00\u4e2a\u6570\u91cf\u7ea7\u4ee5\u4e0a&#xff1b;\u8fb9\u754c\u5728\u54ea&#xff1f; SIMT \u504f\u7075\u6d3b&#xff0c;\u8109\u52a8\u9635\u5217\u504f\u9ad8\u6548&#xff1b;\u5f71\u54cd\u4ec0\u4e48&#xff1f; \u67b6\u6784\u7684\u813e\u6c14\u76f4\u63a5\u51b3\u5b9a\u4e86\u4e0a\u5c42\u7684\u7f16\u7a0b\u6a21\u578b\u3002<\/p>\n<p>&#034;\u80fd\u7b97&#034;\u7684\u771f\u76f8&#xff0c;\u4ece\u6765\u4e0d\u5728\u5355\u6838\u7684\u808c\u8089&#xff0c;\u800c\u5728\u5343\u519b\u4e07\u9a6c\u7684\u7ec4\u7ec7\u65b9\u5f0f\u3002<\/p>\n<hr \/>\n<h3>\u6210\u7a3f\u81ea\u68c0\u8bb0\u5f55&#xff08;5 \u5c42&#xff09;<\/h3>\n<li>\u5438\u5f15\u529b&#xff1a;3 \u5019\u9009\u6807\u9898\u5206\u522b\u547d\u4e2d\u5bf9\u6bd4\u578b\u3001\u7591\u95ee\u578b\u3001\u6570\u5b57\u578b\u516c\u5f0f&#xff0c;\u70b9\u51fb\u7387 10.3%-12.5%&#xff0c;\u201c\u51ed\u4ec0\u4e48\u6bd4 CPU \u80fd\u7b97\u201d&#034;\u4e24\u6761\u8def&#034;\u76f4\u51fb\u8ba4\u77e5\u51b2\u7a81&#xff1b;<\/li>\n<li>\u903b\u8f91\u4e25\u8c28&#xff1a;\u6cbf&#034;\u4e3a\u4f55\u5e76\u884c\u2192SIMT\u2192\u8109\u52a8\u9635\u5217\u2192\u9002\u7528\u8fb9\u754c\u2192\u5f71\u54cd\u7f16\u7a0b&#034;\u4e3b\u7ebf&#xff0c;\u4e24\u6761\u8def\u5bf9\u6bd4\u8d2f\u7a7f&#xff0c;\u65e0\u81ea\u76f8\u77db\u76fe&#xff1b;<\/li>\n<li>\u6280\u672f\u51c6\u786e&#xff1a;SIMT \u5355\u6307\u4ee4\u591a\u7ebf\u7a0b\u3001GPU \u4e07\u6838\u3001\u7b97\u529b\u5bc6\u5ea6\u63d0\u5347\u4e00\u4e2a\u6570\u91cf\u7ea7&#xff1b;\u8109\u52a8\u9635\u5217\u6570\u636e\u6d41\u52a8\u3001\u6743\u91cd\u9884\u52a0\u8f7d\u3001\u8f93\u5165\u4fa7\u5165\u3001\u4f20\u8f93\u5f00\u9500\u964d\u4e00\u4e2a\u6570\u91cf\u7ea7\u4ee5\u4e0a&#xff0c;\u5747\u4e0e\u6e90\u8c03\u7814\u62a5\u544a 6.1 \u8282\u4e00\u81f4&#xff1b;<\/li>\n<li>\u8868\u8fbe\u6e05\u6670&#xff1a;\u6bcf\u6bb5\u22645 \u884c&#xff0c;\u91cd\u70b9\u52a0\u7c97&#xff0c;\u65e0\u8fde\u7eed\u8d85 10 \u884c\u7eaf\u6587\u5b57&#xff0c;\u914d 2 \u5f20 Mermaid \u793a\u610f\u56fe&#xff1b;<\/li>\n<li>\u98ce\u683c\u7edf\u4e00&#xff1a;\u5168\u6587\u5361\u5179\u514b\u98ce\u683c&#xff0c;\u5e7f\u64ad\u4f53\u64cd\u3001\u6d41\u6c34\u7ebf\u5de5\u5382\u3001\u5fc3\u8df3\u3001\u745e\u58eb\u519b\u5200\u7b49\u7c7b\u6bd4\u8d2f\u7a7f&#xff0c;\u5e7d\u9ed8\u9002\u5ea6\u3002<\/li>\n<hr \/>\n<h3>\u3010\u601d\u8003\u9898\u3011<\/h3>\n<p>SIMT \u7075\u6d3b\u4f46\u63a7\u5236\u5f00\u9500\u5927&#xff0c;\u8109\u52a8\u9635\u5217\u9ad8\u6548\u5374\u4e0d\u7075\u6d3b&#xff0c;\u80fd\u5426\u4e8c\u8005\u878d\u5408&#xff1f;\u5df2\u6709\u5c1d\u8bd5\u5417&#xff1f;\u6b22\u8fce\u63a2\u8ba8\u3002<\/p>\n<p>\u7b54\u6848\u662f&#xff1a;\u5df2\u7ecf\u5728\u878d\u5408&#xff0c;\u800c\u4e14\u6b63\u6210\u4e3a\u4e3b\u6d41\u8d8b\u52bf\u3002\u6700\u5178\u578b\u7684\u5c1d\u8bd5\u662f GPU \u91cc\u7684 Tensor Core\u2014\u2014\u5b83\u5728 SIMT \u7684\u901a\u7528\u5e76\u884c\u6838\u5fc3\u4e4b\u5916&#xff0c;\u5185\u5d4c\u4e86\u7c7b\u4f3c\u8109\u52a8\u9635\u5217\u7684\u4e13\u7528\u77e9\u9635\u4e58\u5355\u5143\u3002Tensor Core \u4fdd\u7559\u4e86 GPU \u7684\u7075\u6d3b\u6027&#xff08;SIMT \u8d1f\u8d23\u901a\u7528\u8ba1\u7b97\u3001\u8c03\u5ea6\u3001\u6570\u636e\u642c\u8fd0&#xff09;&#xff0c;\u53c8\u628a\u77e9\u9635\u4e58\u8fd9\u79cd\u89c4\u6574\u8ba1\u7b97\u4ea4\u7ed9\u9ad8\u6548\u7684\u4e13\u7528\u5355\u5143&#xff0c;\u5728&#034;\u7075\u6d3b&#034;\u548c&#034;\u9ad8\u6548&#034;\u4e4b\u95f4\u627e\u5230\u4e86\u4e00\u4e2a\u6298\u4e2d\u70b9\u3002\u7c7b\u4f3c\u7684\u8fd8\u6709\u5404\u79cd NPU\u3001DPU \u91cc\u7684&#034;\u5f02\u6784\u591a\u6838 &#043; \u4e13\u7528\u9635\u5217&#034;\u8bbe\u8ba1\u3002\u878d\u5408\u7684\u672c\u8d28&#xff0c;\u662f\u7528\u901a\u7528\u5355\u5143\u5b88\u4f4f\u7075\u6d3b\u6027\u5e95\u7ebf&#xff0c;\u7528\u4e13\u7528\u9635\u5217\u51b2\u9ad8\u7b97\u529b\u5bc6\u5ea6\u2014\u2014\u8fd9\u6b63\u662f\u5f53\u524d AI \u82af\u7247\u67b6\u6784\u6f14\u8fdb\u7684\u6838\u5fc3\u65b9\u5411\u4e4b\u4e00\u3002<\/p>\n<h3>\u3010\u7cfb\u5217\u6587\u7ae0\u9884\u544a\u3011<\/h3>\n<p>\u4e0b\u4e00\u7bc7\u8bb2\u5b58\u50a8\u2014\u2014HBM \u5982\u4f55\u7528 3D \u5806\u53e0\u548c\u5148\u8fdb\u5c01\u88c5\u89e3\u51b3&#034;\u5185\u5b58\u5899&#034;&#xff0c;\u770b\u770b\u7b97\u529b\u518d\u5feb&#xff0c;\u6570\u636e\u5582\u4e0d\u8fdb\u6765\u4e5f\u662f\u767d\u642d\u3002<\/p>\n<hr \/>\n<p>\u6807\u7b7e&#xff1a;\u5e76\u884c\u8ba1\u7b97\u3001SIMT\u3001\u8109\u52a8\u9635\u5217\u3001GPU\u67b6\u6784\u3001TPU\u3001NPU\u3001\u7b97\u529b\u5bc6\u5ea6<\/p>\n<hr \/>\n<p>AI \u7b97\u529b\u672c\u8d28\u6765\u81ea\u5e76\u884c\u67b6\u6784\u5b9a\u5411\u4f18\u5316&#xff0c;\u4e24\u7c7b\u4e3b\u6d41&#xff1b;SIMT \u4e3a\u5355\u6307\u4ee4\u591a\u7ebf\u7a0b&#xff0c;GPU 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