{"id":7303,"date":"2026-09-10T17:38:56","date_gmt":"2026-09-10T09:38:56","guid":{"rendered":"https:\/\/nullthought.net\/?p=7303"},"modified":"2026-09-10T17:38:59","modified_gmt":"2026-09-10T09:38:59","slug":"edgecortix-dynamic-neural-accelerator%ef%bc%88dna%ef%bc%89%ef%bc%9a%e9%9d%a2%e5%90%91edge-ai-%e7%ab%af%e4%be%a7ai%e7%9a%84%e8%bf%90%e8%a1%8c%e6%97%b6%e5%8f%af%e9%87%8d%e6%9e%84%e6%95%b0%e6%8d%ae","status":"publish","type":"post","link":"https:\/\/nullthought.net\/?p=7303","title":{"rendered":"EdgeCortix Dynamic Neural Accelerator\uff08DNA\uff09\uff1a\u9762\u5411Edge AI\/\u7aef\u4fa7AI\u7684\u8fd0\u884c\u65f6\u53ef\u91cd\u6784\u6570\u636e\u6d41\u67b6\u6784"},"content":{"rendered":"\n

\u5728Edge AI\u82af\u7247\u9886\u57df\uff0c\u4e00\u4e2a\u5e38\u89c1\u8bef\u533a\u662f\uff1a\u53ea\u8981TOPS\u8db3\u591f\u9ad8\uff0cAI\u63a8\u7406\u6027\u80fd\u5c31\u4e00\u5b9a\u9ad8\u3002<\/strong> \u5b9e\u9645\u60c5\u51b5\u5e76\u975e\u5982\u6b64\u3002\u5c24\u5176\u662f\u5728\u673a\u5668\u4eba\u3001\u65e0\u4eba\u673a\u3001\u5de5\u4e1a\u8bbe\u5907\u3001\u673a\u5668\u89c6\u89c9\u548c\u822a\u7a7a\u822a\u5929\u7b49\u7aef\u4fa7\u573a\u666f\u4e2d\uff0c\u771f\u6b63\u51b3\u5b9a\u6027\u80fd\u7684\u5f80\u5f80\u4e0d\u662f\u5cf0\u503c\u7b97\u529b\uff0c\u800c\u662f\u8ba1\u7b97\u5355\u5143\u5229\u7528\u7387\u3001\u7247\u4e0a\u6570\u636e\u642c\u8fd0\u6548\u7387\u3001\u5185\u5b58\u5e26\u5bbd\u3001Batch=1\u5ef6\u8fdf\u4ee5\u53ca\u529f\u8017\u3002<\/p>\n\n\n\n

EdgeCortix\u5f00\u53d1\u7684 Dynamic Neural Accelerator\uff0c\u7b80\u79f0DNA<\/strong><\/a>\uff0c\u6b63\u662f\u9488\u5bf9\u8fd9\u4e9b\u95ee\u9898\u8bbe\u8ba1\u7684\u4e00\u79cd\u795e\u7ecf\u7f51\u7edc\u52a0\u901f\u5668\u67b6\u6784\u3002\u5b83\u6700\u6838\u5fc3\u7684\u7279\u70b9\u53ef\u4ee5\u6982\u62ec\u4e3a\uff1a<\/p>\n\n\n\n

\n

\u901a\u8fc7\u8fd0\u884c\u65f6\u53ef\u91cd\u6784\u7684\u8ba1\u7b97\u8d44\u6e90\u548c\u6570\u636e\u4e92\u8fde\uff0c\u8ba9\u540c\u4e00\u5957AI\u786c\u4ef6\u6839\u636e\u4e0d\u540c\u795e\u7ecf\u7f51\u7edc\u3001\u4e0d\u540c\u7f51\u7edc\u5c42\u7684\u8ba1\u7b97\u7279\u70b9\u52a8\u6001\u6539\u53d8\u7ec4\u7ec7\u65b9\u5f0f\u3002<\/strong><\/p>\n<\/blockquote>\n\n\n\n

\u76ee\u524d\u7684\u7b2c\u4e8c\u4ee3\u67b6\u6784 DNA-II<\/strong> \u5df2\u7ecf\u5e94\u7528\u4e8eEdgeCortix\u7684SAKURA-II AI\u52a0\u901f\u5668\uff0c\u540c\u65f6\u4e5f\u53ef\u4ee5\u4f5c\u4e3aIP Core\u96c6\u6210\u5230ASIC\u3001SoC\u6216FPGA\u4e2d\u3002EdgeCortix\u5b98\u65b9\u5c06DNA-II\u5b9a\u4f4d\u4e3a\u4e00\u79cd\u53ef\u6269\u5c55\u3001\u6a21\u5757\u5316\u3001\u4f4e\u5ef6\u8fdf\u7684\u795e\u7ecf\u7f51\u7edc\u8ba1\u7b97\u67b6\u6784\uff0c\u5e76\u5f3a\u8c03\u5176\u540c\u65f6\u652f\u6301\u5377\u79ef\u7f51\u7edc\u548cTransformer\u3002(EdgeCortix<\/a>)<\/p>\n\n\n\n

\"\"
EdgeCortix Dynamic Neural Accelerator\uff08DNA\uff09<\/figcaption><\/figure>\n\n\n\n
\n\n\n\n

\u4e00\u3001DNA\u9996\u5148\u89e3\u51b3\u7684\u662f\u201c\u5cf0\u503c\u7b97\u529b\u5229\u7528\u4e0d\u8d77\u6765\u201d\u7684\u95ee\u9898<\/h2>\n\n\n\n

\u73b0\u4ee3\u795e\u7ecf\u7f51\u7edc\u5e76\u4e0d\u662f\u7531\u5b8c\u5168\u76f8\u540c\u7684\u8ba1\u7b97\u7ec4\u6210\u3002<\/p>\n\n\n\n

\u4e00\u5957\u89c6\u89c9\u6216\u591a\u6a21\u6001\u6a21\u578b\u4e2d\uff0c\u53ef\u80fd\u540c\u65f6\u5b58\u5728\uff1a<\/p>\n\n\n\n

\u5377\u79ef\u3001\u77e9\u9635\u4e58\u6cd5\u3001\u6ce8\u610f\u529b\u673a\u5236\u3001\u6fc0\u6d3b\u51fd\u6570\u3001\u5f52\u4e00\u5316\u3001Tensor\u53d8\u6362\u4ee5\u53ca\u5404\u79cd\u4e0d\u540c\u5c3a\u5bf8\u7684\u7f51\u7edc\u5c42\u3002<\/strong><\/p>\n\n\n\n

\u800c\u4e0d\u540c\u5c42\u7684\u8ba1\u7b97\u5f62\u6001\u5dee\u522b\u975e\u5e38\u5927\u3002<\/p>\n\n\n\n

\u4f8b\u5982\uff0c\u4e00\u4e2a\u5377\u79ef\u5c42\u53ef\u80fd\u5177\u6709\u5f88\u591a\u8f93\u51fa\u901a\u9053\uff0c\u975e\u5e38\u9002\u5408\u8ba9\u5927\u91cf\u8ba1\u7b97\u5355\u5143\u5206\u522b\u5904\u7406\u4e0d\u540cFilter\uff1b\u53e6\u4e00\u4e2a\u5c42\u53ef\u80fd\u8f93\u51fa\u901a\u9053\u4e0d\u591a\uff0c\u4f46\u8f93\u5165Feature Map\u5f88\u5927\uff0c\u66f4\u9002\u5408\u628a\u4e00\u5f20Feature Map\u5207\u6210\u591a\u4e2aTile\u5e76\u884c\u5904\u7406\u3002<\/p>\n\n\n\n

Transformer\u53c8\u6709\u6240\u4e0d\u540c\uff0c\u5176\u4e3b\u8981\u8ba1\u7b97\u8d1f\u8f7d\u901a\u5e38\u96c6\u4e2d\u5728\u8f83\u5927\u7684\u77e9\u9635\u4e58\u6cd5\u548cAttention\u76f8\u5173\u8fd0\u7b97\u3002<\/p>\n\n\n\n

\u5982\u679cNPU\u5185\u90e8\u8ba1\u7b97\u9635\u5217\u548c\u6570\u636e\u8def\u5f84\u9ad8\u5ea6\u56fa\u5b9a\uff0c\u5c31\u53ef\u80fd\u51fa\u73b0\uff1a<\/p>\n\n\n\n

\n

\u67d0\u4e9b\u7f51\u7edc\u5c42\u80fd\u591f\u628a\u5168\u90e8\u8ba1\u7b97\u5355\u5143\u5403\u6ee1\uff0c\u800c\u6362\u5230\u53e6\u4e00\u79cd\u5c3a\u5bf8\u7684\u7f51\u7edc\u5c42\u4ee5\u540e\uff0c\u5927\u91cfMAC\u95f2\u7f6e\u3002<\/p>\n<\/blockquote>\n\n\n\n

\u56e0\u6b64\uff0c\u201c60 TOPS\u82af\u7247\u201d\u5728\u5b9e\u9645\u6a21\u578b\u8fd0\u884c\u8fc7\u7a0b\u4e2d\uff0c\u5e76\u4e0d\u610f\u5473\u7740\u6bcf\u4e00\u65f6\u523b\u90fd\u80fd\u591f\u53d1\u632560 TOPS\u3002<\/p>\n\n\n\n

EdgeCortix\u65e9\u671f\u5c31\u628a\u8fd9\u79cd \u4f4e\u8ba1\u7b97\u5229\u7528\u7387<\/strong> \u89c6\u4e3a\u7aef\u4fa7AI\u7684\u6838\u5fc3\u95ee\u9898\u4e4b\u4e00\uff0c\u5e76\u7279\u522b\u6307\u51fa\u5c0fBatch\u4ee5\u53caBatch=1\u63a8\u7406\u66f4\u5bb9\u6613\u9047\u5230\u8fd9\u4e00\u95ee\u9898\u3002(EdgeCortix<\/a>)<\/p>\n\n\n\n

DNA\u7684\u8bbe\u8ba1\u76ee\u6807\uff0c\u672c\u8d28\u4e0a\u5c31\u662f\uff1a<\/p>\n\n\n\n

\n

\u6839\u636e\u5f53\u524d\u9700\u8981\u8ba1\u7b97\u7684\u7f51\u7edc\u5c42\uff0c\u91cd\u65b0\u7ec4\u7ec7\u786c\u4ef6\u8d44\u6e90\uff0c\u5c3d\u53ef\u80fd\u8ba9\u66f4\u591a\u8ba1\u7b97\u5355\u5143\u4fdd\u6301\u6709\u6548\u5de5\u4f5c\u3002<\/strong><\/p>\n<\/blockquote>\n\n\n\n

\n\n\n\n

\u4e8c\u3001DNA\u6700\u6838\u5fc3\u7684\u6982\u5ff5\uff1aDynamic Grouping<\/h1>\n\n\n\n

DNA\u5e76\u4e0d\u662f\u7b80\u5355\u5730\u589e\u52a0\u66f4\u591aMAC\u3002<\/p>\n\n\n\n

\u5b83\u66f4\u91cd\u8981\u7684\u8bbe\u8ba1\u601d\u60f3\u662f Dynamic Grouping\u2014\u2014\u52a8\u6001\u5206\u7ec4<\/strong>\u3002<\/p>\n\n\n\n

\u53ef\u4ee5\u5047\u8bbe\u82af\u7247\u4e2d\u5b58\u5728\u5f88\u591a\u4e2aDNA Compute Engine\uff1a<\/p>\n\n\n\n

E1\u3001E2\u3001E3\u3001E4\u2026\u2026<\/strong><\/p>\n\n\n\n

\u5982\u679c\u5f53\u524d\u5377\u79ef\u5c42\u62e5\u6709\u5927\u91cf\u8f93\u51fa\u901a\u9053\uff0c\u8ba1\u7b97\u8d44\u6e90\u53ef\u4ee5\u6309\u7167\u8f93\u51faFilter\u8fdb\u884c\u5e76\u884c\uff1a<\/p>\n\n\n\n

E1 \u2192 Filter 1
E2 \u2192 Filter 2
E3 \u2192 Filter 3
E4 \u2192 Filter 4<\/strong><\/p>\n\n\n\n

\u4f46\u5982\u679c\u4e0b\u4e00\u5c42\u8f93\u51fa\u901a\u9053\u8f83\u5c11\uff0c\u800c\u5355\u4e2a\u8f93\u51fa\u9700\u8981\u5904\u7406\u5927\u91cf\u8f93\u5165\u901a\u9053\uff0c\u8ba1\u7b97\u8d44\u6e90\u5219\u53ef\u4ee5\u91cd\u65b0\u7ec4\u5408\uff0c\u4f8b\u5982\uff1a<\/p>\n\n\n\n

E1 + E2 + E3 + E4 \u2192 \u5171\u540c\u8ba1\u7b97\u4e00\u4e2a\u8f93\u51fa\u3002<\/strong><\/p>\n\n\n\n

\u5982\u679c\u9700\u8981\u5904\u7406\u4e00\u4e2a\u5f88\u5927\u7684Tensor\uff0c\u8fd8\u53ef\u4ee5\u6309\u7167\u7a7a\u95f4Tile\u62c6\u5206\uff1a<\/p>\n\n\n\n

E1 \u2192 Tile A
E2 \u2192 Tile B
E3 \u2192 Tile C
E4 \u2192 Tile D<\/strong><\/p>\n\n\n\n

\u5230\u4e86Transformer\u77e9\u9635\u8ba1\u7b97\u9636\u6bb5\uff0c\u5219\u53ef\u4ee5\u91cd\u65b0\u6309\u7167\u77e9\u9635\u5757\u7ec4\u7ec7\u786c\u4ef6\u3002<\/p>\n\n\n\n

\u6240\u4ee5DNA\u771f\u6b63\u53ef\u4ee5\u52a8\u6001\u6539\u53d8\u7684\u662f\uff1a<\/p>\n\n\n\n

Filter\u5e76\u884c\u3001Channel\u5e76\u884c\u3001Tile\u5e76\u884c\u4ee5\u53ca\u4e0d\u540c\u8ba1\u7b97\u4efb\u52a1\u4e4b\u95f4\u7684\u8d44\u6e90\u5206\u914d\u3002<\/strong><\/p>\n\n\n\n

EdgeCortix\u5c06\u8fd9\u79cd\u6839\u636e\u7f51\u7edc\u7ed3\u6784\u91cd\u65b0\u7ec4\u5408\u8ba1\u7b97\u8d44\u6e90\u7684\u80fd\u529b\u79f0\u4e3a\u52a8\u6001\u5206\u7ec4\uff0c\u5e76\u8ba4\u4e3a\u8fd9\u662f\u63d0\u5347\u5b9e\u9645\u8ba1\u7b97\u5229\u7528\u7387\u7684\u91cd\u8981\u673a\u5236\u3002(EdgeCortix<\/a>)<\/p>\n\n\n\n

\u53ef\u4ee5\u628a\u8fd9\u79cd\u67b6\u6784\u7406\u89e3\u6210\u4e00\u4e2a\u67d4\u6027\u5236\u9020\u5de5\u5382<\/strong>\u3002<\/p>\n\n\n\n

\u4f20\u7edf\u56fa\u5b9a\u5f0fNPU\u50cf\u4e00\u6761\u9ad8\u5ea6\u4f18\u5316\u7684\u6c7d\u8f66\u6d41\u6c34\u7ebf\uff1a<\/p>\n\n\n\n

\u751f\u4ea7\u6307\u5b9a\u8f66\u578b\u65f6\u6548\u7387\u6781\u9ad8\u3002<\/p>\n\n\n\n

\u4f46\u6362\u4e00\u79cd\u4ea7\u54c1\u4ee5\u540e\uff0c\u4e00\u4e9b\u5de5\u4f4d\u53ef\u80fd\u6ca1\u6709\u5de5\u4f5c\u3002<\/p>\n\n\n\n

DNA\u66f4\u50cf\u67d4\u6027\u751f\u4ea7\u7ebf\uff1a<\/p>\n\n\n\n

\n

\u4eca\u59298\u4e2a\u5de5\u4f4d\u7ec4\u62108\u6761\u5c0f\u751f\u4ea7\u7ebf\uff0c\u660e\u59294\u4e2a\u5de5\u4f4d\u7ec4\u6210\u4e00\u6761\u5927\u751f\u4ea7\u7ebf\uff0c\u540e\u5929\u53c8\u53ef\u4ee5\u91cd\u65b0\u5206\u62102+2+4\u3002<\/p>\n<\/blockquote>\n\n\n\n

\u771f\u6b63\u7684\u786c\u4ef6\u8ba1\u7b97\u5355\u5143\u6ca1\u6709\u6539\u53d8\uff0c\u4f46\u7ec4\u7ec7\u65b9\u5f0f\u53d1\u751f\u4e86\u6539\u53d8<\/strong>\u3002<\/p>\n\n\n\n

\n\n\n\n

\u4e09\u3001\u771f\u6b63\u5173\u952e\u7684\u6280\u672f\u4e0d\u662f\u201c\u7b97\u201d\uff0c\u800c\u662f\u201c\u6570\u636e\u600e\u4e48\u8d70\u201d<\/h1>\n\n\n\n

DNA\u67b6\u6784\u6700\u503c\u5f97\u6ce8\u610f\u7684\u6280\u672f\u4e4b\u4e00\uff0c\u662f\u5176 \u8fd0\u884c\u65f6\u53ef\u91cd\u6784\u4e92\u8fde\u7f51\u7edc<\/strong>\u3002<\/p>\n\n\n\n

AI\u8ba1\u7b97\u82af\u7247\u7684\u4e00\u4e2a\u91cd\u8981\u73b0\u5b9e\u662f\uff1a<\/p>\n\n\n\n

\n

\u6570\u636e\u642c\u8fd0\u5f80\u5f80\u6bd4\u4e58\u6cd5\u8fd0\u7b97\u672c\u8eab\u66f4\u52a0\u8017\u80fd\u3002<\/strong><\/p>\n<\/blockquote>\n\n\n\n

\u4f8b\u5982\u4e00\u4e2a\u5377\u79ef\u8f93\u51fa\u53ef\u80fd\u9700\u8981\u591a\u4e2a\u8ba1\u7b97\u5355\u5143\u5206\u522b\u8ba1\u7b97\u90e8\u5206\u548c\uff1aY<\/mi>=<\/mo>P<\/mi>1<\/mn><\/msub>+<\/mo>P<\/mi>2<\/mn><\/msub>+<\/mo>P<\/mi>3<\/mn><\/msub>+<\/mo>P<\/mi>4<\/mn><\/msub><\/mrow>Y = P_1 + P_2 + P_3 + P_4<\/annotation><\/semantics><\/math><\/p>\n\n\n\n

\u5176\u4e2d\u6bcf\u4e00\u4e2a P<\/mi>i<\/mi><\/msub><\/mrow>P_i<\/annotation><\/semantics><\/math> \u90fd\u662f\u4e00\u4e2a\u8ba1\u7b97\u5355\u5143\u4ea7\u751f\u7684\u90e8\u5206\u7ed3\u679c\u3002<\/p>\n\n\n\n

\u5728\u4e00\u79cd\u6bd4\u8f83\u7b80\u5355\u7684\u786c\u4ef6\u67b6\u6784\u4e2d\uff0c\u53ef\u80fd\u9700\u8981\uff1a<\/p>\n\n\n\n

\u8ba1\u7b97P1 \u2192 \u5199\u5165\u7247\u4e0a\u5185\u5b58<\/strong><\/p>\n\n\n\n

\u8ba1\u7b97P2 \u2192 \u5199\u5165\u7247\u4e0a\u5185\u5b58<\/strong><\/p>\n\n\n\n

\u7136\u540e\uff1a<\/p>\n\n\n\n

\u8bfb\u53d6P1\u548cP2 \u2192 \u505a\u7d2f\u52a0 \u2192 \u518d\u5199\u56de\u5185\u5b58\u3002<\/strong><\/p>\n\n\n\n

\u5982\u679c\u8fd9\u79cd\u8fc7\u7a0b\u5927\u91cf\u51fa\u73b0\uff0c\u5c31\u4f1a\u5f62\u6210\uff1a<\/p>\n\n\n\n

\u8ba1\u7b97 \u2192 \u5199SRAM \u2192 \u8bfbSRAM \u2192 \u7d2f\u52a0 \u2192 \u518d\u5199SRAM\u3002<\/strong><\/p>\n\n\n\n

\u8ba1\u7b97\u672c\u8eab\u53ef\u80fd\u975e\u5e38\u5feb\uff0c\u771f\u6b63\u6d88\u8017\u5e26\u5bbd\u548c\u529f\u8017\u7684\u53cd\u800c\u662f\u8fd9\u4e9b\u4e2d\u95f4\u7ed3\u679c\u642c\u8fd0\u3002<\/p>\n\n\n\n

EdgeCortix\u7684\u76f8\u5173\u4e13\u5229\u63d0\u51fa\u4e86\u4e00\u4e2a\u91cd\u8981\u7ed3\u6784\uff1a<\/p>\n\n\n\n

\n

Reduction Interconnect\u2014\u2014\u5f52\u7ea6\u4e92\u8fde\u7f51\u7edc\u3002<\/strong><\/p>\n<\/blockquote>\n\n\n\n

\u5b83\u4f4d\u4e8e\u8ba1\u7b97\u6a21\u5757\u548c\u7247\u4e0a\u5185\u5b58\u4e4b\u95f4\uff0c\u53ef\u4ee5\u628a\u591a\u4e2a\u8ba1\u7b97\u5355\u5143\u8f93\u51fa\u7684\u90e8\u5206\u7ed3\u679c\u76f4\u63a5\u5728\u4e92\u8fde\u8def\u5f84\u4e2d\u8fdb\u884c\u5f52\u7ea6\u548c\u7d2f\u52a0\uff0c\u800c\u4e0d\u4e00\u5b9a\u8981\u5148\u5199\u56de\u7247\u4e0a\u5185\u5b58\u3002(EdgeCortix<\/a>)<\/p>\n\n\n\n

\u7b80\u5355\u6765\u8bf4\uff0c\u4f20\u7edf\u65b9\u5f0f\u53ef\u80fd\u662f\uff1a<\/p>\n\n\n\n

\u8ba1\u7b97\u5355\u5143A \u2192 SRAM \u2192 \u8bfb\u53d6 \u2192 \u52a0\u6cd5\u5668<\/strong><\/p>\n\n\n\n

\u800cDNA\u53ef\u4ee5\u53d8\u6210\uff1a<\/p>\n\n\n\n

\u8ba1\u7b97\u5355\u5143A \u2500\u2510
\u8ba1\u7b97\u5355\u5143B \u2500\u253c\u2192 Reduction Interconnect \u2192 \u7d2f\u52a0\u7ed3\u679c
\u8ba1\u7b97\u5355\u5143C \u2500\u2524
\u8ba1\u7b97\u5355\u5143D \u2500\u2518<\/strong><\/p>\n\n\n\n

\u8fd9\u6837\u505a\u7684\u76f4\u63a5\u597d\u5904\u662f\u51cf\u5c11\uff1a<\/p>\n\n\n\n

\u7247\u4e0aSRAM\u8bbf\u95ee\u3001\u6570\u636e\u590d\u5236\u3001\u5b58\u50a8\u5e26\u5bbd\u5360\u7528\u548c\u7b49\u5f85\u65f6\u95f4\u3002<\/strong><\/p>\n\n\n\n

\u56e0\u6b64\uff0cDNA\u63d0\u5347\u80fd\u6548\u7684\u5173\u952e\u5e76\u4e0d\u53ea\u662f\u201c\u8ba1\u7b97\u5668\u66f4\u5feb\u201d\uff0c\u8fd8\u5305\u62ec\uff1a<\/p>\n\n\n\n

\n

\u5c3d\u91cf\u51cf\u5c11\u6570\u636e\u5728\u82af\u7247\u5185\u90e8\u65e0\u610f\u4e49\u5730\u642c\u6765\u642c\u53bb\u3002<\/strong><\/p>\n<\/blockquote>\n\n\n\n

\n\n\n\n

\u56db\u3001\u6240\u8c13\u201c\u8fd0\u884c\u65f6\u53ef\u91cd\u6784\u201d\uff0c\u5230\u5e95\u91cd\u6784\u4e86\u4ec0\u4e48\uff1f<\/h1>\n\n\n\n

\u8fd9\u91cc\u5f88\u5bb9\u6613\u548cFPGA\u6df7\u6dc6\u3002<\/p>\n\n\n\n

DNA\u7684Runtime Reconfigurability\u5e76\u4e0d\u662f\u8bf4\uff1a<\/p>\n\n\n\n

\n

\u6bcf\u8fd0\u884c\u4e00\u4e2a\u7f51\u7edc\u5c42\uff0c\u5c31\u91cd\u65b0\u914d\u7f6e\u6676\u4f53\u7ba1\u903b\u8f91\u3002<\/p>\n<\/blockquote>\n\n\n\n

\u5b83\u4e0d\u50cfFPGA\u90a3\u6837\u91cd\u65b0\u751f\u6210\u6574\u4e2a\u786c\u4ef6\u7535\u8defBitstream\u3002<\/p>\n\n\n\n

\u66f4\u51c6\u786e\u5730\u8bf4\uff0cDNA\u4f1a\u5229\u7528\u63a7\u5236\u903b\u8f91\u6539\u53d8\u5df2\u6709\u8ba1\u7b97\u6a21\u5757\u4e4b\u95f4\u7684\u8fde\u63a5\u72b6\u6001\u3002<\/p>\n\n\n\n

\u5176\u4e13\u5229\u63cf\u8ff0\u7684\u57fa\u672c\u7ed3\u6784\u5305\u62ec\uff1a<\/p>\n\n\n\n

\u591a\u4e2a\u8ba1\u7b97\u6a21\u5757
\u591a\u4e2a\u52a0\u6cd5\/\u5f52\u7ea6\u6a21\u5757
\u7247\u4e0aAccumulation Memory
\u53ef\u91cd\u6784Reduction Interconnect
Interconnect Control Module
Sequencer\u3002<\/strong> (Justia Patents<\/a>)<\/p>\n\n\n\n

\u63a7\u5236\u6a21\u5757\u80fd\u591f\u51b3\u5b9a\uff1a<\/p>\n\n\n\n

\u54ea\u4e2a\u8ba1\u7b97\u6a21\u5757\u8fde\u63a5\u54ea\u4e2a\u52a0\u6cd5\u5668\uff1b
\u54ea\u4e2a\u7ed3\u679c\u76f4\u63a5\u8fdb\u5165Accumulation Memory\uff1b
\u54ea\u4e9b\u8ba1\u7b97\u5355\u5143\u5171\u540c\u7ec4\u6210\u4e00\u7ec4\uff1b
\u54ea\u4e9b\u6a21\u5757\u6682\u65f6\u4e0d\u7528\uff1b
\u591a\u4e2a\u90e8\u5206\u7ed3\u679c\u5728\u54ea\u91cc\u6c47\u603b\u3002<\/strong><\/p>\n\n\n\n

\u56e0\u6b64\uff0c\u53ef\u4ee5\u628aDNA\u7684\u8fd0\u884c\u65f6\u91cd\u6784\u7406\u89e3\u6210\uff1a<\/p>\n\n\n\n

\n

\u901a\u8fc7\u5feb\u901f\u6539\u53d8Switch\u548c\u6570\u636e\u8def\u7531\u914d\u7f6e\uff0c\u8ba9\u7269\u7406\u4e0a\u56fa\u5b9a\u5b58\u5728\u7684\u8ba1\u7b97\u5355\u5143\u5f62\u6210\u4e0d\u540c\u7684\u903b\u8f91\u8ba1\u7b97\u7ed3\u6784\u3002<\/strong><\/p>\n<\/blockquote>\n\n\n\n

\u8fd9\u79cd\u65b9\u5f0f\u5728\u601d\u60f3\u4e0a\u66f4\u63a5\u8fd1\uff1a<\/p>\n\n\n\n

Dataflow Architecture + Reconfigurable Interconnect<\/strong><\/p>\n\n\n\n

\u800c\u4e0d\u662f\u4f20\u7edf\u610f\u4e49\u4e0a\u7684\u5b8c\u5168\u56fa\u5b9a\u5f0fSIMD\u9635\u5217\u3002<\/p>\n\n\n\n

\n\n\n\n

\u4e94\u3001\u8f93\u5165\u4fa7\u540c\u6837\u5b58\u5728\u53ef\u91cd\u6784\u7684\u6570\u636e\u6d41<\/h1>\n\n\n\n

DNA\u7684\u4e13\u5229\u4e0d\u4ec5\u6d89\u53ca\u8f93\u51fa\u7aef\u7684Reduction Interconnect\uff0c\u8fd8\u63cf\u8ff0\u4e86\u8f93\u5165\u6570\u636e\u8def\u5f84\u3001Line Buffer\u4ee5\u53ca\u53ef\u914d\u7f6e\u7684\u8f93\u5165\u8fde\u63a5\u5173\u7cfb\u3002<\/p>\n\n\n\n

\u4f8b\u5982\u5377\u79ef\u8ba1\u7b97\u7ecf\u5e38\u9700\u8981\u4e0d\u65ad\u6ed1\u52a8\u4e00\u4e2a\u5377\u79ef\u7a97\u53e3\uff1a3<\/mn>\u00d7<\/mo>3<\/mn>,<\/mo><\/mspace>5<\/mn>\u00d7<\/mo>5<\/mn><\/mrow>3 \\times 3,\\quad 5 \\times 5<\/annotation><\/semantics><\/math><\/p>\n\n\n\n

\u5982\u679c\u6bcf\u79fb\u52a8\u4e00\u6b21\u5377\u79ef\u7a97\u53e3\u90fd\u91cd\u65b0\u4ece\u5916\u90e8DRAM\u8bfb\u53d6\u5168\u90e8\u8f93\u5165\u6570\u636e\uff0c\u529f\u8017\u548c\u5e26\u5bbd\u6210\u672c\u90fd\u4f1a\u975e\u5e38\u9ad8\u3002<\/p>\n\n\n\n

\u56e0\u6b64\u795e\u7ecf\u7f51\u7edc\u52a0\u901f\u5668\u901a\u5e38\u4f1a\u4f7f\u7528\uff1a<\/p>\n\n\n\n

Line Buffer + On-chip Memory<\/strong><\/p>\n\n\n\n

\u5c3d\u91cf\u91cd\u590d\u5229\u7528\u5df2\u7ecf\u8bfb\u53d6\u7684\u6570\u636e\u3002<\/p>\n\n\n\n

EdgeCortix\u7684\u76f8\u5173\u8bbe\u8ba1\u5141\u8bb8\u4e0d\u540cLine Buffer\u4f4d\u7f6e\u4e0e\u4e0d\u540c\u8ba1\u7b97\u6a21\u5757\u52a8\u6001\u8fde\u63a5\uff0c\u4f7f\u540c\u4e00\u6279\u8ba1\u7b97\u5355\u5143\u53ef\u4ee5\u6839\u636e\uff1a<\/p>\n\n\n\n

\u5377\u79ef\u6838\u5c3a\u5bf8\u3001Stride\u3001Dilation\u3001Tile\u5c3a\u5bf8<\/strong><\/p>\n\n\n\n

\u6539\u53d8\u8f93\u5165\u6570\u636e\u5206\u914d\u65b9\u5f0f\u3002(Justia Patents<\/a>)<\/p>\n\n\n\n

\u5176\u672c\u8d28\u4ecd\u7136\u6ca1\u6709\u6539\u53d8\uff1a<\/p>\n\n\n\n

\n

\u8ba1\u7b97\u8d44\u6e90\u4e0d\u4ec5\u80fd\u591f\u91cd\u65b0\u5206\u7ec4\uff0c\u6570\u636e\u4f9b\u5e94\u65b9\u5f0f\u4e5f\u80fd\u591f\u968f\u6a21\u578b\u7ed3\u6784\u6539\u53d8\u3002<\/strong><\/p>\n<\/blockquote>\n\n\n\n

\u8fd9\u4e5f\u662f\u4e3a\u4ec0\u4e48\u4ec5\u4ec5\u63cf\u8ff0DNA\u4e3a\u201c\u4e00\u4e2a\u53ef\u91cd\u6784NPU\u201d\u5e76\u4e0d\u591f\u51c6\u786e\u3002<\/p>\n\n\n\n

\u5b83\u66f4\u63a5\u8fd1\u4e00\u4e2a\uff1a<\/p>\n\n\n\n

\n

\u8ba1\u7b97\u3001\u4e92\u8fde\u3001\u5b58\u50a8\u534f\u540c\u91cd\u6784\u7684\u6570\u636e\u6d41\u5904\u7406\u5668\u3002<\/strong><\/p>\n<\/blockquote>\n\n\n\n

\n\n\n\n

\u516d\u3001MERA\u7f16\u8bd1\u5668\u5b9e\u9645\u4e0a\u662fDNA\u67b6\u6784\u4e0d\u53ef\u5206\u5272\u7684\u4e00\u534a<\/h1>\n\n\n\n

DNA\u786c\u4ef6\u672c\u8eab\u4e0d\u4f1a\u81ea\u52a8\u5206\u6790PyTorch\u6a21\u578b\u7136\u540e\u51b3\u5b9a\uff1a<\/p>\n\n\n\n

\n

\u201c\u8fd9\u56db\u4e2aEngine\u5e94\u8be5\u7ec4\u5408\u5728\u4e00\u8d77\u3002\u201d<\/p>\n<\/blockquote>\n\n\n\n

\u771f\u6b63\u5b8c\u6210\u8fd9\u79cd\u6620\u5c04\u7684\uff0c\u662fEdgeCortix\u7684\u8f6f\u4ef6\u6808 MERA<\/strong>\u3002<\/p>\n\n\n\n

EdgeCortix\u4ece\u4e00\u5f00\u59cb\u91c7\u53d6\u7684\u5c31\u662f software-first \/ hardware-software co-design<\/strong> \u8def\u7ebf\u3002<\/p>\n\n\n\n

\u6574\u4e2a\u8fc7\u7a0b\u5927\u81f4\u53ef\u4ee5\u7406\u89e3\u4e3a\uff1a<\/p>\n\n\n\n

PyTorch \/ TensorFlow \/ ONNX\u6a21\u578b<\/strong><\/p>\n\n\n\n

\u2193<\/p>\n\n\n\n

MERA\u5bfc\u5165\u8ba1\u7b97\u56fe<\/strong><\/p>\n\n\n\n

\u2193<\/p>\n\n\n\n

\u5206\u6790\uff1a<\/p>\n\n\n\n

Tensor\u5c3a\u5bf8
\u8ba1\u7b97\u91cf
\u7f51\u7edc\u5c42\u62d3\u6251
\u5185\u5b58\u9700\u6c42
\u6570\u636e\u4f9d\u8d56
\u53ef\u5229\u7528\u5e76\u884c\u5ea6<\/strong><\/p>\n\n\n\n

\u2193<\/p>\n\n\n\n

\u5b8c\u6210\uff1a<\/p>\n\n\n\n

Graph Optimization
Quantization
Operator Scheduling
Tiling
Resource Allocation
Memory Planning<\/strong><\/p>\n\n\n\n

\u2193<\/p>\n\n\n\n

\u751f\u6210\uff1a<\/p>\n\n\n\n

DNA\u6267\u884c\u4ee3\u7801 + \u6570\u636e\u8c03\u5ea6\u65b9\u6848 + \u4e92\u8fde\u914d\u7f6e<\/strong><\/p>\n\n\n\n

\u2193<\/p>\n\n\n\n

DNA\u786c\u4ef6\u6267\u884c\u3002<\/strong><\/p>\n\n\n\n

MERA\u76ee\u524d\u5229\u7528Apache TVM\u3001MLIR\u7b49\u6280\u672f\uff0c\u5e76\u652f\u6301AMD\u3001Intel\u3001Arm\u548cRISC-V\u7b49\u5f02\u6784\u4e3b\u5904\u7406\u5668\u3002(EdgeCortix<\/a>)<\/p>\n\n\n\n

\u6240\u4ee5EdgeCortix\u6574\u4e2a\u6280\u672f\u903b\u8f91\u5b9e\u9645\u4e0a\u662f\uff1a<\/p>\n\n\n\n

\n

Compiler\u51b3\u5b9a\u600e\u6837\u91cd\u65b0\u7ec4\u7ec7\u786c\u4ef6\uff0cDNA\u6309\u7167\u8fd9\u4e2a\u7ec4\u7ec7\u65b9\u5f0f\u9ad8\u6548\u8fd0\u884c\u3002<\/strong><\/p>\n<\/blockquote>\n\n\n\n

\u8fd9\u662f\u4e00\u79cd\u5178\u578b\u7684\uff1a<\/p>\n\n\n\n

Compiler-driven Architecture\u3002<\/strong><\/p>\n\n\n\n

\u56e0\u6b64\u8ba8\u8bbaDNA\u6280\u672f\uff0c\u5982\u679c\u53ea\u7814\u7a76\u82af\u7247\u7ed3\u6784\uff0c\u800c\u5ffd\u7565MERA\uff0c\u662f\u4e0d\u5b8c\u6574\u7684\u3002<\/p>\n\n\n\n

\n\n\n\n

\u4e03\u3001\u4e3a\u4ec0\u4e48DNA\u7279\u522b\u5f3a\u8c03Batch=1\uff1f<\/h1>\n\n\n\n

Batch=1\u662f\u7406\u89e3DNA\u8bbe\u8ba1\u601d\u8def\u7684\u53e6\u4e00\u4e2a\u5173\u952e\u3002<\/p>\n\n\n\n

\u5728\u4e91\u7aef\u6570\u636e\u4e2d\u5fc3\u8fd0\u884cAI\u6a21\u578b\u65f6\uff0c\u53ef\u4ee5\u4e00\u6b21\u5904\u7406\uff1a<\/p>\n\n\n\n

32\u5f20\u300164\u5f20\u751a\u81f3\u66f4\u591a\u56fe\u7247\u3002<\/strong><\/p>\n\n\n\n

\u8fd9\u6837GPU\u62e5\u6709\u5927\u91cf\u72ec\u7acb\u4efb\u52a1\uff0c\u5f88\u5bb9\u6613\u628a\u6570\u5343\u4e2a\u8ba1\u7b97\u5355\u5143\u586b\u6ee1\u3002<\/p>\n\n\n\n

\u4f46Edge AI\u5b8c\u5168\u4e0d\u540c\u3002<\/p>\n\n\n\n

\u4f8b\u5982\u673a\u5668\u4eba\u6444\u50cf\u5934\uff1a<\/p>\n\n\n\n

\u7b2c1\u5e27\u5230\u8fbe
\u2192 AI\u63a8\u7406
\u2192 \u8f93\u51fa\u7ed3\u679c
\u2192 \u63a7\u5236\u673a\u5668\u4eba<\/strong><\/p>\n\n\n\n

\u7136\u540e\u624d\u5904\u7406\u4e0b\u4e00\u5e27\u3002<\/p>\n\n\n\n

\u5b83\u4e0d\u80fd\u4e3a\u4e86\u63d0\u9ad8\u541e\u5410\u91cf\uff0c\u8bf4\uff1a<\/p>\n\n\n\n

\n

\u201c\u7b4932\u5e27\u6536\u9f50\u4ee5\u540e\u4e00\u8d77\u7b97\u3002\u201d<\/p>\n<\/blockquote>\n\n\n\n

\u56e0\u4e3a\u673a\u5668\u4eba\u9700\u8981\u7acb\u5373\u53cd\u5e94\u3002<\/p>\n\n\n\n

\u8fd9\u5c31\u662f\u5178\u578b\u7684\uff1a<\/p>\n\n\n\n

Batch = 1\u3002<\/strong><\/p>\n\n\n\n

\u5de5\u4e1a\u673a\u5668\u89c6\u89c9\u3001\u65e0\u4eba\u673a\u3001\u81ea\u52a8\u9a7e\u9a76\u540c\u6837\u5927\u91cf\u5b58\u5728\u8fd9\u79cd\u60c5\u51b5\u3002<\/p>\n\n\n\n

Batch=1\u65f6\uff0c\u53ef\u4ee5\u5229\u7528\u7684\u201c\u6837\u672c\u7ea7\u5e76\u884c\u201d\u975e\u5e38\u5c11\uff0c\u56e0\u6b64\u82af\u7247\u5fc5\u987b\u4e0d\u65ad\u4ece\uff1a<\/p>\n\n\n\n

Channel\u3001Filter\u3001Tile\u3001Tensor\u4ee5\u53ca\u4e0d\u540cOperator<\/strong><\/p>\n\n\n\n

\u5185\u90e8\u5bfb\u627e\u5e76\u884c\u673a\u4f1a\u3002<\/p>\n\n\n\n

DNA\u7684\u52a8\u6001\u5206\u7ec4\u673a\u5236\u6b63\u662f\u9488\u5bf9\u8fd9\u4e00\u95ee\u9898\u3002<\/p>\n\n\n\n

EdgeCortix\u4e5f\u660e\u786e\u628aSAKURA-II\u5b9a\u4f4d\u4e3a\u9762\u5411 real-time Batch=1 inference<\/strong> \u7684AI\u52a0\u901f\u5668\u3002(EdgeCortix<\/a>)<\/p>\n\n\n\n

\u56e0\u6b64DNA\u8ffd\u6c42\u7684\u4e3b\u8981\u4e0d\u662f\u6570\u636e\u4e2d\u5fc3\u5f0f\uff1a<\/p>\n\n\n\n

\n

\u6700\u5927Throughput\u3002<\/strong><\/p>\n<\/blockquote>\n\n\n\n

\u800c\u662f\uff1a<\/p>\n\n\n\n

\n

\u5728\u5355\u4e2a\u4efb\u52a1\u4e0a\u540c\u65f6\u5b9e\u73b0\u9ad8\u786c\u4ef6\u5229\u7528\u7387\u548c\u4f4eLatency\u3002<\/strong><\/p>\n<\/blockquote>\n\n\n\n

\u8fd9\u5bf9\u4e8ePhysical AI\u975e\u5e38\u91cd\u8981\u3002<\/p>\n\n\n\n

\n\n\n\n

\u516b\u3001\u4eceCNN\u5230Transformer\uff1aDNA-II\u4e3a\u4ec0\u4e48\u9700\u8981\u5347\u7ea7\uff1f<\/h1>\n\n\n\n

\u6700\u65e9\u4e00\u4ee3DNA\u4e3b\u8981\u9488\u5bf9CNN\u3002<\/p>\n\n\n\n

\u4f46\u4eca\u5929\u7684Edge AI\u5de5\u4f5c\u8d1f\u8f7d\u5df2\u7ecf\u660e\u663e\u6539\u53d8\uff1a<\/p>\n\n\n\n

\u8fc7\u53bb\uff1a<\/p>\n\n\n\n

ResNet
MobileNet
YOLO<\/strong><\/p>\n\n\n\n

\u73b0\u5728\u8d8a\u6765\u8d8a\u591a\uff1a<\/p>\n\n\n\n

Vision Transformer
DETR
VLM
LLM
Multimodal Model
Robot Foundation Model\u3002<\/strong><\/p>\n\n\n\n

\u8fd9\u4e9b\u6a21\u578b\u5927\u91cf\u4f9d\u8d56\uff1a<\/p>\n\n\n\n

GEMM\u77e9\u9635\u4e58\u6cd5\u3001Attention\u3001\u4e0d\u540c\u5c3a\u5bf8Tensor\u4ee5\u53ca\u6df7\u5408\u7cbe\u5ea6\u8ba1\u7b97\u3002<\/strong><\/p>\n\n\n\n

\u56e0\u6b64EdgeCortix\u5728DNA-II\u4e2d\u8fdb\u4e00\u6b65\u5f3a\u5316\u4e86\u5bf9Transformer\u548c\u751f\u6210\u5f0fAI\u7684\u652f\u6301\u3002\u5b98\u65b9\u660e\u786e\u8868\u793aDNA-II\u540c\u65f6\u652f\u6301\u5377\u79ef\u7f51\u7edc\u548cTransformer\uff0c\u800cSAKURA-II\u5c31\u662f\u57fa\u4e8e\u8fd9\u4e00\u4ee3DNA\u67b6\u6784\u6784\u5efa\u3002(EdgeCortix<\/a>)<\/p>\n\n\n\n

SAKURA-II\u516c\u5f00\u6027\u80fd\u5305\u62ec\uff1a<\/p>\n\n\n\n

INT8\uff1a\u6700\u9ad860 TOPS<\/strong><\/p>\n\n\n\n

BF16\uff1a\u6700\u9ad830 TFLOPS<\/strong><\/p>\n\n\n\n

\u5e76\u652f\u6301Mixed Precision\u3002(EdgeCortix<\/a>)<\/p>\n\n\n\n

\u66f4\u503c\u5f97\u6ce8\u610f\u7684\u5e76\u4e0d\u662f60 TOPS\u672c\u8eab\uff0c\u800c\u662fEdgeCortix\u8bd5\u56fe\u8ba9\u540c\u4e00\u5957DNA\u8d44\u6e90\u540c\u65f6\u9002\u5e94\uff1a<\/p>\n\n\n\n

\u4f20\u7edf\u89c6\u89c9\u6a21\u578b + Transformer + Generative AI\u3002<\/strong><\/p>\n\n\n\n

\u8fd9\u79cd\u7075\u6d3b\u6027\u5bf9\u4e8eEdge AI\u82af\u7247\u5c24\u5176\u91cd\u8981\uff0c\u56e0\u4e3a\u8fb9\u7f18\u8bbe\u5907\u751f\u547d\u5468\u671f\u53ef\u80fd\u8fbe\u5230\uff1a<\/p>\n\n\n\n

5\u5e74\u300110\u5e74\u751a\u81f3\u66f4\u957f\u3002<\/strong><\/p>\n\n\n\n

\u82af\u7247\u90e8\u7f72\u65f6\u4f7f\u7528YOLO\uff0c\u5e76\u4e0d\u610f\u5473\u7740\u4e94\u5e74\u540e\u8fd8\u662fYOLO\u3002<\/p>\n\n\n\n

\u56e0\u6b64\u786c\u4ef6\u5fc5\u987b\u5177\u6709\u4e00\u5b9a\u7a0b\u5ea6\u7684\u7b97\u6cd5\u9002\u5e94\u80fd\u529b\u3002<\/p>\n\n\n\n

\n\n\n\n

\u4e5d\u3001DNA\u4e0eGPU\u3001\u4f20\u7edfNPU\u3001FPGA\u6709\u4ec0\u4e48\u533a\u522b\uff1f<\/h1>\n\n\n\n

\u53ef\u4ee5\u7528\u4e00\u4e2a\u7b80\u5316\u7684\u6bd4\u8f83\u6765\u7406\u89e3\u3002<\/p>\n\n\n\n

\u67b6\u6784<\/th>\u7075\u6d3b\u6027<\/th>\u80fd\u6548<\/th>\u8fd0\u884c\u65f6\u53ef\u53d8\u6027<\/th>\u5178\u578b\u4f18\u52bf<\/th><\/tr><\/thead>
CPU<\/td>\u5f88\u9ad8<\/td>\u8f83\u4f4e<\/td>\u5f88\u9ad8<\/td>\u901a\u7528\u63a7\u5236\u3001\u590d\u6742\u903b\u8f91<\/td><\/tr>
GPU<\/td>\u9ad8<\/td>\u4e2d\u7b49<\/td>\u9ad8<\/td>\u5927\u89c4\u6a21\u5e76\u884c\u3001\u751f\u6001\u6210\u719f<\/td><\/tr>
\u56fa\u5b9a\u5f0fNPU<\/td>\u4e2d\u7b49<\/td>\u5f88\u9ad8<\/td>\u8f83\u4f4e<\/td>\u5df2\u77e5AI\u7b97\u5b50\u9ad8\u6548\u63a8\u7406<\/td><\/tr>
FPGA<\/td>\u5f88\u9ad8<\/td>\u8f83\u9ad8<\/td>\u5f88\u9ad8<\/td>\u7535\u8def\u7ea7\u53ef\u914d\u7f6e<\/td><\/tr>
DNA<\/td>\u9ad8<\/td>\u9ad8<\/td>\u9ad8<\/td>AI\u6570\u636e\u6d41\u52a8\u6001\u91cd\u6784<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

\u9700\u8981\u6ce8\u610f\uff0c\u8fd9\u53ea\u662f\u67b6\u6784\u5c42\u9762\u7684\u6982\u5ff5\u6bd4\u8f83\uff0c\u4e0d\u610f\u5473\u7740DNA\u5728\u6240\u6709\u5de5\u4f5c\u8d1f\u8f7d\u4e0a\u90fd\u4e00\u5b9a\u4f18\u4e8eGPU\u6216\u5176\u4ed6NPU\u3002<\/p>\n\n\n\n

DNA\u7684\u72ec\u7279\u4f4d\u7f6e\u5728\u4e8e\uff1a<\/p>\n\n\n\n

\n

\u8bd5\u56fe\u5728\u56fa\u5b9aASIC\u7684\u9ad8\u6548\u7387\u548c\u53ef\u7f16\u7a0b\u67b6\u6784\u7684\u7075\u6d3b\u6027\u4e4b\u95f4\u627e\u5230\u4e00\u4e2a\u5e73\u8861\u70b9\u3002<\/strong><\/p>\n<\/blockquote>\n\n\n\n

\u5b83\u4e0d\u50cfGPU\u90a3\u6837\u8ffd\u6c42\u5b8c\u5168\u901a\u7528\uff0c\u4e5f\u4e0d\u50cf\u67d0\u4e9bNPU\u90a3\u6837\u628a\u6570\u636e\u6d41\u5b8c\u5168\u5199\u6b7b\u3002<\/p>\n\n\n\n

\u800c\u662f\uff1a<\/p>\n\n\n\n

\u8ba1\u7b97\u5355\u5143\u672c\u8eab\u4e13\u7528<\/strong><\/p>\n\n\n\n

\u4f46\uff1a<\/p>\n\n\n\n

\u8ba1\u7b97\u5355\u5143\u7684\u7ec4\u5408\u65b9\u5f0f\u548c\u6570\u636e\u6d41\u76f8\u5bf9\u7075\u6d3b\u3002<\/strong><\/p>\n\n\n\n

\n\n\n\n

\u5341\u3001DNA\u4e3a\u4ec0\u4e48\u7279\u522b\u9002\u5408Physical AI\uff1f<\/h1>\n\n\n\n

\u673a\u5668\u4eba\u548cPhysical AI\u5bf9AI\u82af\u7247\u6709\u4e00\u4e2a\u5f88\u7279\u6b8a\u7684\u8981\u6c42\uff1a<\/p>\n\n\n\n

\u4e0d\u4ec5\u8981\u7b97\u5f97\u5feb\uff0c\u8fd8\u5fc5\u987b\uff1a<\/p>\n\n\n\n

\u5ef6\u8fdf\u4f4e
\u529f\u8017\u4f4e
\u4f53\u79ef\u5c0f
\u6563\u70ed\u6709\u9650
Batch=1
\u957f\u65f6\u95f4\u8fde\u7eed\u5de5\u4f5c\u3002<\/strong><\/p>\n\n\n\n

\u4f8b\u5982\u673a\u5668\u4eba\u53ef\u80fd\u540c\u65f6\u8fd0\u884c\uff1a<\/p>\n\n\n\n

\u76ee\u6807\u68c0\u6d4b
\u6df1\u5ea6\u4f30\u8ba1
\u59ff\u6001\u8bc6\u522b
\u8bed\u4e49\u5206\u5272
VLM
VLA\u3002<\/strong><\/p>\n\n\n\n

\u8fd9\u4e9b\u6a21\u578b\u7684\u8ba1\u7b97\u5f62\u6001\u5b8c\u5168\u4e0d\u540c\u3002<\/p>\n\n\n\n

\u5982\u679c\u6bcf\u4e00\u79cd\u6a21\u578b\u90fd\u914d\u7f6e\u4e0d\u540c\u7684\u4e13\u7528\u52a0\u901f\u5668\uff0c\u4f1a\u5bfc\u81f4\u7cfb\u7edf\u590d\u6742\u5ea6\u8fc5\u901f\u4e0a\u5347\u3002<\/p>\n\n\n\n

DNA\u5219\u5e0c\u671b\uff1a<\/p>\n\n\n\n

\n

\u4e00\u5957\u53ef\u91cd\u6784AI\u8ba1\u7b97\u8d44\u6e90\uff0c\u6839\u636e\u5f53\u524d\u6a21\u578b\u52a8\u6001\u5206\u914d\u3002<\/strong><\/p>\n<\/blockquote>\n\n\n\n

\u4f8b\u5982\uff1a<\/p>\n\n\n\n

\u6444\u50cf\u5934\u89c6\u89c9\u9636\u6bb5\uff1a<\/p>\n\n\n\n

\u66f4\u591a\u8ba1\u7b97\u8d44\u6e90\u5206\u7ed9CNN \/ ViT<\/strong><\/p>\n\n\n\n

\u8fdb\u5165\u673a\u5668\u4eba\u52a8\u4f5c\u89c4\u5212\u9636\u6bb5\uff1a<\/p>\n\n\n\n

\u8d44\u6e90\u91cd\u65b0\u5206\u914d\u7ed9Transformer \/ VLA<\/strong><\/p>\n\n\n\n

\u968f\u540e\u6267\u884c\u4e00\u4e2a\u5c0f\u6a21\u578b\u5f02\u5e38\u68c0\u6d4b\uff1a<\/p>\n\n\n\n

\u53ea\u4f7f\u7528\u90e8\u5206DNA Engine\uff0c\u5176\u4f59\u8d44\u6e90\u53ef\u4ee5\u670d\u52a1\u5176\u4ed6\u7f51\u7edc\u3002<\/strong><\/p>\n\n\n\n

EdgeCortix\u79f0DNA\u67b6\u6784\u8fd8\u53ef\u4ee5\u652f\u6301\u591a\u4e2a\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u5e76\u53d1\u8fd0\u884c\u3002(EdgeCortix<\/a>)<\/p>\n\n\n\n

\u8fd9\u5bf9\u673a\u5668\u4eba\u975e\u5e38\u6709\u5438\u5f15\u529b\uff0c\u56e0\u4e3a\u771f\u5b9e\u673a\u5668\u4eba\u901a\u5e38\u4ece\u6765\u4e0d\u662f\u53ea\u8fd0\u884c\u4e00\u4e2aAI\u6a21\u578b\u3002<\/p>\n\n\n\n

\n\n\n\n

\u5341\u4e00\u3001DNA\u771f\u6b63\u8ffd\u6c42\u7684\u6307\u6807\u5e76\u4e0d\u662fTOPS\uff0c\u800c\u662f\u201c\u6709\u6548TOPS\u201d<\/h1>\n\n\n\n

\u7406\u89e3DNA\u6700\u91cd\u8981\u7684\u4e00\u70b9\uff0c\u662f\u533a\u5206\uff1a<\/p>\n\n\n\n

Peak TOPS<\/strong><\/p>\n\n\n\n

\u548c\uff1a<\/p>\n\n\n\n

Effective Compute Utilization\u3002<\/strong><\/p>\n\n\n\n

\u5047\u8bbe\u4e24\u9897\u82af\u7247\u90fd\u6807\u79f0\uff1a<\/p>\n\n\n\n

60 TOPS\u3002<\/strong><\/p>\n\n\n\n

\u82af\u7247A\u8fd0\u884c\u67d0\u6a21\u578b\u65f6\u8ba1\u7b97\u8d44\u6e90\u5e73\u5747\u5229\u7528\u7387\u53ea\u670940%\uff0c\u7406\u8bba\u4e0a\u771f\u6b63\u6709\u6548\u4f7f\u7528\u7684\u5927\u81f4\u7b97\u529b\u53ea\u6709\uff1a60<\/mn>\u00d7<\/mo>40<\/mn>%<\/mi>=<\/mo>24<\/mn> TOPS<\/mtext><\/mrow>60 \\times 40\\% = 24\\text{ TOPS}<\/annotation><\/semantics><\/math><\/p>\n\n\n\n

\u82af\u7247B\u5982\u679c\u80fd\u591f\u4fdd\u630180%\u7684\u6709\u6548\u5229\u7528\u7387\uff0c\u5219\u76f8\u5f53\u4e8e\uff1a60<\/mn>\u00d7<\/mo>80<\/mn>%<\/mi>=<\/mo>48<\/mn> TOPS<\/mtext><\/mrow>60 \\times 80\\% = 48\\text{ TOPS}<\/annotation><\/semantics><\/math><\/p>\n\n\n\n

\u8fd9\u91cc\u53ea\u662f\u7528\u4e8e\u8bf4\u660e\u539f\u7406\uff0c\u5e76\u4e0d\u662fEdgeCortix\u5b9e\u9645Benchmark\u7ed3\u679c\u3002<\/p>\n\n\n\n

\u4f46\u5b83\u5f88\u597d\u5730\u89e3\u91ca\u4e86DNA\u7684\u8bbe\u8ba1\u601d\u60f3\uff1a<\/p>\n\n\n\n

\n

\u4e0e\u5176\u4e0d\u65ad\u5806\u66f4\u9ad8\u5cf0\u503cTOPS\uff0c\u4e0d\u5982\u8ba9\u5df2\u6709TOPS\u66f4\u591a\u65f6\u95f4\u771f\u6b63\u53c2\u4e0e\u8ba1\u7b97\u3002<\/strong><\/p>\n<\/blockquote>\n\n\n\n

\u5bf9\u4e8e\u529f\u8017\u53d7\u9650\u7684Edge AI\u800c\u8a00\uff0c\u8fd9\u5f80\u5f80\u6bd4\u5cf0\u503c\u7b97\u529b\u66f4\u52a0\u91cd\u8981\u3002<\/p>\n\n\n\n

\n\n\n\n

\u5341\u4e8c\u3001DNA\u6280\u672f\u7684\u6f5c\u5728\u5c40\u9650<\/h1>\n\n\n\n

DNA\u7684\u601d\u8def\u5f88\u6709\u5438\u5f15\u529b\uff0c\u4f46\u4e5f\u4e0d\u80fd\u56e0\u6b64\u628a\u5b83\u7406\u89e3\u6210\u201c\u4e07\u80fdAI\u67b6\u6784\u201d\u3002<\/p>\n\n\n\n

\u9996\u5148\uff0c\u53ef\u91cd\u6784\u6027\u672c\u8eab\u6709\u6210\u672c<\/strong>\u3002<\/p>\n\n\n\n

\u4e92\u8fde\u7f51\u7edc\u3001\u63a7\u5236\u903b\u8f91\u3001\u914d\u7f6e\u5bc4\u5b58\u5668\u90fd\u4f1a\u5360\u7528\uff1a<\/p>\n\n\n\n

\u82af\u7247\u9762\u79ef\u3001\u529f\u8017\u548c\u8bbe\u8ba1\u590d\u6742\u5ea6\u3002<\/strong><\/p>\n\n\n\n

\u5982\u679c\u67d0\u79cd\u6a21\u578b\u7ed3\u6784\u975e\u5e38\u56fa\u5b9a\uff0c\u4e00\u9897\u9488\u5bf9\u8be5\u6a21\u578b\u9ad8\u5ea6\u5b9a\u5236\u7684\u4e13\u7528ASIC\u7406\u8bba\u4e0a\u4ecd\u53ef\u80fd\u6bd4DNA\u66f4\u52a0\u9ad8\u6548\u3002<\/p>\n\n\n\n

\u5176\u6b21\uff0cDNA\u975e\u5e38\u4f9d\u8d56\u7f16\u8bd1\u5668\u3002<\/p>\n\n\n\n

\u786c\u4ef6\u7406\u8bba\u4e0a\u62e5\u6709\u5f88\u591a\u53ef\u80fd\u7684\u8d44\u6e90\u7ec4\u5408\uff0c\u4f46\u5982\u679cMERA\u65e0\u6cd5\u627e\u5230\u8db3\u591f\u597d\u7684\uff1a<\/p>\n\n\n\n

Tiling\u3001Scheduling\u3001Memory Layout\u548cEngine Mapping<\/strong><\/p>\n\n\n\n

\u90a3\u4e48\u786c\u4ef6\u80fd\u529b\u65e0\u6cd5\u771f\u6b63\u53d1\u6325\u3002<\/p>\n\n\n\n

\u56e0\u6b64DNA\u7ade\u4e89\u529b\u5b9e\u9645\u4e0a\u7b49\u4e8e\uff1a<\/p>\n\n\n\n

\n

DNA Architecture \u00d7 MERA Compiler\u3002<\/strong><\/p>\n<\/blockquote>\n\n\n\n

\u7b2c\u4e09\uff0cEdgeCortix\u662f\u4e00\u5bb6\u76f8\u5bf9\u8f83\u5c0f\u7684\u516c\u53f8\uff0c\u5176\u8f6f\u4ef6\u751f\u6001\u89c4\u6a21\u8fd8\u4e0d\u80fd\u548c\uff1a<\/p>\n\n\n\n

CUDA\u3001TensorRT\u3001Qualcomm AI Stack<\/strong><\/p>\n\n\n\n

\u7b49\u6210\u719f\u5e73\u53f0\u76f8\u63d0\u5e76\u8bba\u3002<\/p>\n\n\n\n

\u7b2c\u56db\uff0c\u5f88\u591a\u6027\u80fd\u548c\u80fd\u6548\u6307\u6807\u76ee\u524d\u4e3b\u8981\u6765\u81eaEdgeCortix\u81ea\u8eab\u516c\u5f00\u8d44\u6599\uff0c\u56e0\u6b64\u5728\u8bc4\u4ef7DNA\u4e0e\u5176\u4ed6NPU\u3001GPU\u7684\u5b9e\u9645\u7ade\u4e89\u529b\u65f6\uff0c\u4ecd\u5e94\u7ed3\u5408\uff1a<\/p>\n\n\n\n

\u540c\u4e00\u6a21\u578b\u3001\u540c\u4e00\u7cbe\u5ea6\u3001\u540c\u4e00Batch\u3001\u76f8\u540c\u529f\u8017\u6d4b\u91cf\u6761\u4ef6<\/strong><\/p>\n\n\n\n

\u8fdb\u884c\u7b2c\u4e09\u65b9Benchmark\u3002<\/p>\n\n\n\n

\n\n\n\n

\u5341\u4e09\u3001\u4ece\u67b6\u6784\u89d2\u5ea6\u770b\uff0cDNA\u6700\u91cd\u8981\u7684\u4ef7\u503c\u662f\u4ec0\u4e48\uff1f<\/h1>\n\n\n\n

DNA\u6700\u503c\u5f97\u5173\u6ce8\u7684\u5730\u65b9\u5176\u5b9e\u5e76\u4e0d\u662f\u67d0\u4e00\u9879\u5355\u72ec\u7684\u4e58\u6cd5\u5668\u8bbe\u8ba1\uff0c\u800c\u662f\u4e00\u79cd\u8d8a\u6765\u8d8a\u91cd\u8981\u7684AI\u82af\u7247\u8bbe\u8ba1\u54f2\u5b66\uff1a<\/p>\n\n\n\n

\n

AI\u7b97\u6cd5\u53d8\u5316\u5f97\u975e\u5e38\u5feb\uff0c\u786c\u4ef6\u4e0d\u80fd\u5b8c\u5168\u56fa\u5b9a\uff1b\u4f46Edge AI\u53c8\u4e0d\u80fd\u50cfGPU\u90a3\u6837\u4e3a\u901a\u7528\u6027\u4ed8\u51fa\u8fc7\u9ad8\u7684\u529f\u8017\u6210\u672c\u3002<\/strong><\/p>\n<\/blockquote>\n\n\n\n

\u56e0\u6b64\u9700\u8981\u4e00\u79cd\u4e2d\u95f4\u8def\u7ebf\uff1a<\/p>\n\n\n\n

\u8ba1\u7b97\u5355\u5143\u4fdd\u6301AI\u4e13\u7528\u5316<\/strong><\/p>\n\n\n\n

\u4e92\u8fde\u548c\u6570\u636e\u6d41\u4fdd\u6301\u4e00\u5b9a\u7a0b\u5ea6\u7684\u53ef\u91cd\u6784<\/strong><\/p>\n\n\n\n

\u7531\u7f16\u8bd1\u5668\u6839\u636e\u5177\u4f53\u6a21\u578b\u81ea\u52a8\u5b8c\u6210\u914d\u7f6e\u3002<\/strong><\/p>\n\n\n\n

\u53ef\u4ee5\u628a\u8fd9\u79cd\u601d\u8def\u7b80\u5316\u6210\uff1a<\/p>\n\n\n\n

Fixed Compute<\/strong><\/p>\n\n\n\n

Flexible Dataflow<\/strong><\/p>\n\n\n\n

Intelligent Compiler\u3002<\/strong><\/p>\n\n\n\n

\u8fd9\u5c31\u662fDynamic Neural Accelerator\u6700\u6838\u5fc3\u7684\u6280\u672f\u601d\u60f3\u3002<\/p>\n\n\n\n

\n\n\n\n

\u7ed3\u8bed\uff1aDNA\u5176\u5b9e\u662f\u5728\u89e3\u51b3\u201cAI\u82af\u7247\u5982\u4f55\u9002\u5e94\u4e0d\u65ad\u53d8\u5316\u7684AI\u201d<\/h1>\n\n\n\n

\u5982\u679c\u53ea\u770b\u53c2\u6570\uff0cSAKURA-II\u662f\u4e00\u989760 TOPS\u7ea7Edge AI\u52a0\u901f\u5668\u3002<\/p>\n\n\n\n

\u4f46\u5982\u679c\u4ece\u67b6\u6784\u5c42\u9762\u770b\uff0c\u5b83\u771f\u6b63\u6709\u610f\u601d\u7684\u5730\u65b9\u5e76\u4e0d\u5728\u8fd9\u91cc\u3002<\/p>\n\n\n\n

DNA\u8bd5\u56fe\u89e3\u51b3\u7684\u95ee\u9898\u662f\uff1a<\/p>\n\n\n\n

\n

\u5982\u4f55\u8ba9\u6709\u9650\u7684\u7aef\u4fa7\u8ba1\u7b97\u8d44\u6e90\uff0c\u5728\u9762\u5bf9\u4e0d\u540c\u7f51\u7edc\u3001\u4e0d\u540c\u7f51\u7edc\u5c42\u548c\u4e0d\u65ad\u53d8\u5316\u7684AI\u6a21\u578b\u65f6\uff0c\u4ecd\u7136\u4fdd\u6301\u8f83\u9ad8\u5229\u7528\u7387\u548c\u8f83\u4f4e\u7684\u6570\u636e\u642c\u8fd0\u6210\u672c\u3002<\/strong><\/p>\n<\/blockquote>\n\n\n\n

\u5b9e\u73b0\u8fd9\u4e00\u76ee\u6807\u7684\u4e09\u4e2a\u6838\u5fc3\u673a\u5236\u662f\uff1a<\/p>\n\n\n\n

\u52a8\u6001\u8ba1\u7b97\u8d44\u6e90\u5206\u7ec4<\/strong><\/p>\n\n\n\n

\u8fd0\u884c\u65f6\u53ef\u91cd\u6784\u4e92\u8fde<\/strong><\/p>\n\n\n\n

MERA\u7f16\u8bd1\u5668\u9a71\u52a8\u7684\u6570\u636e\u6d41\u4e0e\u8d44\u6e90\u8c03\u5ea6\u3002<\/strong><\/p>\n\n\n\n

\u6240\u4ee5\uff0c\u66f4\u51c6\u786e\u5730\u7ed9DNA\u4e0b\u4e00\u4e2a\u5b9a\u4e49\uff0c\u53ef\u4ee5\u662f\uff1a<\/p>\n\n\n\n

\n

EdgeCortix Dynamic Neural Accelerator\u662f\u4e00\u79cd\u7531\u7f16\u8bd1\u5668\u9a71\u52a8\u7684\u8fd0\u884c\u65f6\u53ef\u91cd\u6784AI\u6570\u636e\u6d41\u5904\u7406\u67b6\u6784\u3002\u5b83\u901a\u8fc7\u52a8\u6001\u6539\u53d8\u8ba1\u7b97\u8d44\u6e90\u5206\u7ec4\u3001\u6570\u636e\u8def\u5f84\u548c\u7ed3\u679c\u5f52\u7ea6\u65b9\u5f0f\uff0c\u5728\u4e0d\u540c\u795e\u7ecf\u7f51\u7edc\u5c42\u4e4b\u95f4\u91cd\u65b0\u7ec4\u7ec7\u786c\u4ef6\uff0c\u4ece\u800c\u63d0\u9ad8Batch=1\u573a\u666f\u4e0b\u7684\u8ba1\u7b97\u5229\u7528\u7387\u3001\u964d\u4f4e\u7247\u4e0a\u5185\u5b58\u5e26\u5bbd\u9700\u6c42\uff0c\u5e76\u517c\u987eCNN\u3001Transformer\u548c\u751f\u6210\u5f0fAI\u7b49\u4e0d\u540c\u7c7b\u578b\u6a21\u578b\u3002<\/strong><\/p>\n<\/blockquote>\n\n\n\n

\u4ece\u66f4\u5927\u7684\u4ea7\u4e1a\u80cc\u666f\u770b\uff0c\u8fd9\u79cd\u601d\u8def\u5c24\u5176\u9002\u5408\u672a\u6765\u7684 \u673a\u5668\u4eba\u3001\u65e0\u4eba\u673a\u3001\u673a\u5668\u89c6\u89c9\u3001\u5de5\u4e1aAI\u4ee5\u53caPhysical AI<\/strong>\uff1a\u8fd9\u4e9b\u7cfb\u7edf\u6ca1\u6709\u6570\u636e\u4e2d\u5fc3\u90a3\u6837\u5145\u88d5\u7684\u7535\u529b\u548c\u6563\u70ed\uff0c\u5374\u8d8a\u6765\u8d8a\u9700\u8981\u8fd0\u884c\u590d\u6742\u7684\u591a\u6a21\u6001\u6a21\u578b\u3002<\/p>\n\n\n\n

\u56e0\u6b64\uff0cDNA\u6240\u4ee3\u8868\u7684\u5e76\u4e0d\u4ec5\u662f\u4e00\u79cdNPU\u8bbe\u8ba1\uff0c\u800c\u662f\u4e00\u79cd\u66f4\u503c\u5f97\u957f\u671f\u89c2\u5bdf\u7684\u65b9\u5411\uff1a<\/p>\n\n\n\n

\n

\u672a\u6765Edge AI\u7ade\u4e89\u7684\u91cd\u70b9\uff0c\u53ef\u80fd\u4e0d\u518d\u662f\u8c01\u62e5\u6709\u6700\u9ad8TOPS\uff0c\u800c\u662f\u8c01\u80fd\u5728\u6709\u9650\u529f\u8017\u4e0b\uff0c\u628a\u6bcf\u4e00\u4e2aTOPS\u771f\u6b63\u5229\u7528\u8d77\u6765\u3002<\/strong> (EdgeCortix<\/a>)<\/p>\n<\/blockquote>\n","protected":false},"excerpt":{"rendered":"

\u5728Edge AI\u82af\u7247\u9886\u57df\uff0c\u4e00\u4e2a\u5e38\u89c1\u8bef\u533a\u662f\uff1a\u53ea\u8981TOPS\u8db3\u591f\u9ad8\uff0cAI\u63a8\u7406\u6027\u80fd\u5c31\u4e00\u5b9a\u9ad8\u3002 \u5b9e\u9645\u60c5\u51b5\u5e76\u975e\u5982\u6b64\u3002\u5c24\u5176\u662f […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center 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