{"id":1072575,"date":"2023-07-11T22:35:00","date_gmt":"2023-07-12T05:35:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-blog-post&#038;p=1072575"},"modified":"2024-09-25T03:55:35","modified_gmt":"2024-09-25T10:55:35","slug":"ai-compilor","status":"publish","type":"msr-blog-post","link":"https:\/\/www.microsoft.com\/en-us\/research\/articles\/ai-compilor\/","title":{"rendered":"\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u63a8\u51faAI\u7f16\u8bd1\u5668\u754c\u201c\u5de5\u4e1a\u91cd\u91d1\u5c5e\u56db\u90e8\u66f2\u201d"},"content":{"rendered":"\n<p>\u7f16\u8005\u6309\uff1a\u7f16\u8bd1\u5668\u5728\u4f20\u7edf\u8ba1\u7b97\u79d1\u5b66\u4e2d\u4e00\u76f4\u662f\u4e00\u4e2a\u91cd\u8981\u7684\u7814\u7a76\u8bfe\u9898\u3002\u5728\u4eba\u5de5\u667a\u80fd\u6280\u672f\u5feb\u901f\u53d1\u5c55\u548c\u5e7f\u6cdb\u5e94\u7528\u7684\u4eca\u5929\uff0c\u4eba\u5de5\u667a\u80fd\u6a21\u578b\u9700\u8981\u90e8\u7f72\u5728\u591a\u6837\u5316\u7684\u8ba1\u7b97\u673a\u786c\u4ef6\u67b6\u6784\u4e0a\u3002\u540c\u65f6\uff0c\u8bad\u7ec3\u548c\u90e8\u7f72\u5927\u578b\u4eba\u5de5\u667a\u80fd\u6a21\u578b\u65f6\u53c8\u5bf9\u786c\u4ef6\u6027\u80fd\u6709\u7740\u66f4\u9ad8\u7684\u8981\u6c42\uff0c\u6709\u65f6\u8fd8\u9700\u6839\u636e\u786c\u4ef6\u5b9a\u5236\u5316\u4ee3\u7801\u3002\u8fd9\u4e9b\u90fd\u5bf9\u4eba\u5de5\u667a\u80fd\u65f6\u4ee3\u7684\u7f16\u8bd1\u5668\u63d0\u51fa\u4e86\u65b0\u7684\u66f4\u9ad8\u7684\u8981\u6c42\u3002<\/p>\n\n\n\n<p>\u4e3a\u4e86\u9002\u5e94\u8fc5\u901f\u53d1\u5c55\u7684\u4eba\u5de5\u667a\u80fd\u6a21\u578b\u548c\u52a0\u901f\u786c\u4ef6\u7684\u9700\u6c42\uff0c\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u4ee5\u8bbe\u8ba1\u548c\u6784\u5efa\u5177\u6709\u9ad8\u5ea6\u7075\u6d3b\u6027\u3001\u9ad8\u6548\u6027\u3001\u53ef\u6269\u5c55\u7684 AI \u7f16\u8bd1\u5668\u67b6\u6784\u4e3a\u76ee\u6807\uff0c\u4e0e\u6d77\u5185\u5916\u5408\u4f5c\u8005\u5c55\u5f00\u7814\u7a76\u5e76\u63d0\u51fa\u4e86\u4e00\u5957\u5305\u542b Rammer\u3001Roller\u3001Welder\u3001Grinder \u56db\u6b3e AI \u7f16\u8bd1\u5668\u7684\u7cfb\u7edf\u6027\u89e3\u51b3\u65b9\u6848\uff0c\u5c06\u63d0\u5347\u786c\u4ef6\u5e76\u884c\u5229\u7528\u7387\u3001\u63d0\u9ad8\u7f16\u8bd1\u6548\u7387\u3001\u4f18\u5316\u5168\u5c40\u8bbf\u5b58\u6548\u7387\u3001\u4f18\u5316\u63a7\u5236\u6d41\u7684\u9ad8\u6548\u6267\u884c\u7b49\u51e0\u5927\u96be\u9898\u901a\u901a\u641e\u5b9a\u3002\u56db\u7bc7\u76f8\u5173\u8bba\u6587\u5df2\u5148\u540e\u88ab2020\u5e74\u30012022\u5e74\u30012023\u5e74\u7684 OSDI \u5927\u4f1a\u63a5\u6536\u3002<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p>\u7f16\u8bd1\u662f\u7a0b\u5e8f\u5f00\u53d1\u7684\u4e00\u4e2a\u91cd\u8981\u6b65\u9aa4\u2014\u2014\u628a\u7528\u9ad8\u7ea7\u8bed\u8a00\u4e66\u5199\u7684\u6e90\u4ee3\u7801\u7ffb\u8bd1\u6210\u5728\u8ba1\u7b97\u673a\u786c\u4ef6\u53ef\u6267\u884c\u7684\u673a\u5668\u7801\uff0c\u800c\u7f16\u8bd1\u5668\u5c31\u662f\u5b9e\u73b0\u8fd9\u4e00\u529f\u80fd\u7684\u7279\u6b8a\u5e94\u7528\u7a0b\u5e8f\u3002\u5982\u4eca\uff0c\u4eba\u5de5\u667a\u80fd\u6280\u672f\u548c\u5927\u6a21\u578b\u65e0\u7591\u662f\u5f53\u4eca\u8ba1\u7b97\u673a\u9886\u57df\u7684 C \u4f4d\u62c5\u5f53\uff0c\u5176\u81ea\u8eab\u7684\u7279\u6027\u4e5f\u5bf9\u7f16\u8bd1\u5668\u63d0\u51fa\u4e86\u65b0\u7684\u6311\u6218\u3002<\/p>\n\n\n\n<p>\u4ece\u6700\u521d\u7684 RNN\u3001CNN \u5230 Transformer\uff0c\u4eba\u5de5\u667a\u80fd\u7684\u4e3b\u6d41\u6a21\u578b\u67b6\u6784\u5728\u4e0d\u65ad\u53d8\u5316\uff0c\u8fd9\u610f\u5473\u7740\u4e0a\u5c42\u7684\u5e94\u7528\u7a0b\u5e8f\u4e5f\u5728\u968f\u4e4b\u6539\u53d8\u3002\u540c\u65f6\uff0c\u5e95\u5c42\u52a0\u901f\u5668\u786c\u4ef6\u5982 GPU\u3001NPU \u7b49\uff0c\u4e5f\u5728\u5feb\u901f\u8fed\u4ee3\u66f4\u65b0\uff0c\u6709\u4e9b\u65b0\u7684\u786c\u4ef6\u8bbe\u8ba1\u751a\u81f3\u98a0\u8986\u4e86\u4e4b\u524d\u7684\u67b6\u6784\u3002\u90a3\u4e48\uff0c\u8981\u60f3\u8ba9\u65b0\u7684\u4eba\u5de5\u667a\u80fd\u6a21\u578b\u66f4\u597d\u5730\u8fd0\u884c\u5728\u65b0\u7684\u82af\u7247\u7b49\u8ba1\u7b97\u673a\u786c\u4ef6\u4e0a\uff0c\u5c31\u9700\u8981\u5168\u65b0\u7684 AI \u7f16\u8bd1\u5668\u3002<\/p>\n\n\n\n<p>\u5bf9\u6b64\uff0c\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u7684\u7814\u7a76\u5458\u4eec\u548c\u56fd\u5185\u5916\u5408\u4f5c\u8005\u56f4\u7ed5\u7740 AI \u7f16\u8bd1\u5668\u7684\u6838\u5fc3\u95ee\u9898\u5c55\u5f00\u4e86\u4e00\u7cfb\u5217\u7814\u7a76\u5de5\u4f5c\uff0c\u5e76\u9646\u7eed\u63a8\u51fa\u4e86 AI \u7f16\u8bd1\u754c\u7684\u201c\u5de5\u4e1a\u91cd\u91d1\u5c5e\u56db\u90e8\u66f2\u201d\uff1aRammer\u3001Roller\u3001Welder\u3001Grinder\uff0c\u4e3a\u5f53\u524d\u4e3b\u6d41\u7684\u4eba\u5de5\u667a\u80fd\u6a21\u578b\u548c\u786c\u4ef6\u7f16\u8bd1\u63d0\u4f9b\u4e86\u7cfb\u7edf\u6027\u7684\u521b\u65b0\u89e3\u51b3\u65b9\u6cd5\u3002<\/p>\n\n\n\n<p><\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"978\" height=\"367\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/ai-compilor-1.png\" alt=\"\u57fa\u4e8e\u7edf\u4e00\u5207\u5757\uff08tile\uff09\u62bd\u8c61\u7684\u56db\u4e2a\u6838\u5fc3 AI \u7f16\u8bd1\u6280\u672f\" class=\"wp-image-1072728\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/ai-compilor-1.png 978w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/ai-compilor-1-300x113.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/ai-compilor-1-768x288.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/ai-compilor-1-240x90.png 240w\" sizes=\"auto, (max-width: 978px) 100vw, 978px\" \/><figcaption class=\"wp-element-caption\">\u57fa\u4e8e\u7edf\u4e00\u5207\u5757\uff08tile\uff09\u62bd\u8c61\u7684\u56db\u4e2a\u6838\u5fc3 AI \u7f16\u8bd1\u6280\u672f<\/figcaption><\/figure>\n\n\n\n<p id=\"caption-attachment-45509\"><\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"ai\u7f16\u8bd1-\u592f\u571f\u673a-rammer-\u63d0\u5347\u786c\u4ef6\u5e76\u884c\u5229\u7528\u7387\">AI\u7f16\u8bd1\u201c\u592f\u571f\u673a\u201dRammer\uff1a\u63d0\u5347\u786c\u4ef6\u5e76\u884c\u5229\u7528\u7387<\/h2>\n\n\n\n<p>\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\uff08DNN\uff09\u662f\u5f53\u524d\u56fe\u50cf\u5206\u7c7b\u3001\u81ea\u7136\u8bed\u8a00\u5904\u7406\u548c\u8bb8\u591a\u5176\u4ed6\u4eba\u5de5\u667a\u80fd\u4efb\u52a1\u4e2d\u5e7f\u6cdb\u91c7\u7528\u7684\u65b9\u6cd5\u3002\u7531\u4e8e\u5176\u91cd\u8981\u6027\uff0c\u8bb8\u591a\u8ba1\u7b97\u8bbe\u5907\uff0c\u5982 CPU\u3001GPU\u3001FPGA \u548c\u4e13\u95e8\u8bbe\u8ba1\u7684 DNN \u52a0\u901f\u5668\u88ab\u7528\u6765\u6267\u884c DNN \u8ba1\u7b97\u3002\u5176\u4e2d\u5f71\u54cd DNN \u8ba1\u7b97\u6548\u7387\u7684\u5173\u952e\u56e0\u7d20\u4e4b\u4e00\u662f\u8c03\u5ea6\uff0c\u5373\u51b3\u5b9a\u5728\u76ee\u6807\u786c\u4ef6\u4e0a\u6267\u884c\u5404\u79cd\u8ba1\u7b97\u4efb\u52a1\u7684\u987a\u5e8f\u3002\u73b0\u6709\u7684 DNN \u6846\u67b6\u548c\u7f16\u8bd1\u5668\u901a\u5e38\u5c06\u6570\u636e\u6d41\u56fe\uff08data flow graph\uff09\u4e2d\u7684 DNN \u7b97\u5b50\u89c6\u4e3a\u4e0d\u900f\u660e\u7684\u5e93\u51fd\u6570\uff0c\u5e76\u5c06\u5b83\u4eec\u8c03\u5ea6\u5230\u52a0\u901f\u5668\u4e0a\u5355\u72ec\u6267\u884c\u3002\u540c\u65f6\uff0c\u8fd9\u4e00\u8fc7\u7a0b\u8fd8\u4f9d\u8d56\u4e8e\u53e6\u4e00\u5c42\u8c03\u5ea6\u5668\uff08\u901a\u5e38\u5728\u786c\u4ef6\u4e2d\u5b9e\u73b0\uff09\u6765\u5229\u7528\u7b97\u5b50\u4e2d\u53ef\u7528\u7684\u5e76\u884c\u7279\u6027\u3002\u8fd9\u6837\u7684\u4e24\u5c42\u65b9\u6cd5\u5c31\u5bfc\u81f4\u4e86\u663e\u8457\u7684\u8c03\u5ea6\u5f00\u9500\uff0c\u5e76\u4e14\u901a\u5e38\u4e0d\u80fd\u5145\u5206\u5229\u7528\u53ef\u7528\u7684\u786c\u4ef6\u8d44\u6e90\u3002<\/p>\n\n\n\n<p>\u4e3a\u6b64\uff0c\u7814\u7a76\u5458\u4eec\u63d0\u51fa\u4e86\u4e00\u79cd\u65b0\u7684 DNN \u7f16\u8bd1\u5668 Rammer\uff0c\u5b83\u53ef\u4ee5\u4f18\u5316 DNN \u5de5\u4f5c\u8d1f\u8f7d\u5728\u5927\u89c4\u6a21\u5e76\u884c\u52a0\u901f\u5668\u4e0a\u7684\u6267\u884c\u3002\u4e8b\u5b9e\u4e0a\uff0c\u6211\u4eec\u53ef\u4ee5\u5c06\u8fdb\u884c AI \u7f16\u8bd1\u65f6\u7684\u8c03\u5ea6\u7a7a\u95f4\u60f3\u8c61\u6210\u4e00\u4e2a\u4e8c\u7ef4\u7a7a\u95f4\uff0c\u5e76\u5c06\u8ba1\u7b97\u4efb\u52a1\u770b\u4f5c\u662f\u53ef\u4ee5\u88ab\u62c6\u5206\u6210\u4e0d\u540c\u5927\u5c0f\u548c\u5f62\u72b6\u7684\u201c\u7816\u5757\u201d\uff0c\u8c03\u5ea6\u7684\u76ee\u7684\u5c31\u662f\u5728\u4e8c\u7ef4\u7a7a\u95f4\u7684\u8ba1\u7b97\u5355\u5143\u4e0a\u5c06\u8fd9\u4e9b\u201c\u7816\u5757\u201d\u50cf\u5792\u5899\u4e00\u6837\u7d27\u5bc6\u6392\u5217\u8d77\u6765\uff0c\u6700\u5927\u7a0b\u5ea6\u5730\u5229\u7528\u8ba1\u7b97\u5355\u5143\u4e0d\u7559\u7a7a\u9699\uff0c\u56e0\u4e3a\u4e00\u65e6\u51fa\u73b0\u7a7a\u9699\uff0c\u4e0d\u4ec5\u5df2\u6709\u7a7a\u95f4\u5f97\u4e0d\u5230\u6709\u6548\u5229\u7528\uff0c\u800c\u4e14\u8fd8\u4f1a\u5f71\u54cd\u201c\u5792\u5899\u201d\u7684\u901f\u5ea6\u3002\u800c Rammer \u5c31\u662f\u8fd9\u4e2a\u4e8c\u7ef4\u7a7a\u95f4\u4e2d\u7684\u4e00\u53f0\u201c\u592f\u571f\u673a\u201d\uff0c\u5728\u5c06 DNN \u7a0b\u5e8f\u7ffb\u8bd1\u6210\u201c\u7816\u5757\u201d\u540e\uff0c\u53ef\u653e\u7f6e\u5728\u82af\u7247\u7684\u4e0d\u540c\u8ba1\u7b97\u5355\u5143\u4e0a\uff0c\u5c06\u5176\u538b\u5b9e\u3002<\/p>\n\n\n\n<p><\/p>\n\n\n\n<figure class=\"wp-block-image size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"763\" height=\"1024\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/ai-compilor-2-763x1024.png\" alt=\"Rammer \u6280\u672f\u6846\u67b6\" class=\"wp-image-1072731\" style=\"width:414px;height:auto\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/ai-compilor-2-763x1024.png 763w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/ai-compilor-2-223x300.png 223w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/ai-compilor-2-768x1031.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/ai-compilor-2-134x180.png 134w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/ai-compilor-2.png 1053w\" sizes=\"auto, (max-width: 763px) 100vw, 763px\" \/><figcaption class=\"wp-element-caption\">Rammer \u6280\u672f\u6846\u67b6<\/figcaption><\/figure>\n\n\n\n<p id=\"caption-attachment-45510\"><\/p>\n\n\n\n<p>\u6362\u8a00\u4e4b\uff0cRammer \u5728\u7f16\u8bd1\u65f6\u4e3a DNN \u751f\u6210\u4e86\u6709\u6548\u7684\u9759\u6001\u65f6\u7a7a\u8c03\u5ea6\uff0c\u6700\u5927\u9650\u5ea6\u5730\u51cf\u5c11\u4e86\u8c03\u5ea6\u5f00\u9500\u3002\u540c\u65f6\uff0c\u901a\u8fc7\u4e3a\u8ba1\u7b97\u4efb\u52a1\u548c\u786c\u4ef6\u52a0\u901f\u5668\u63d0\u51fa\u7684\u51e0\u4e2a\u65b0\u7684\u3001\u4e0e\u786c\u4ef6\u65e0\u5173\u7684\u62bd\u8c61\uff0c\u4f7f Rammer \u83b7\u5f97\u4e86\u66f4\u4e30\u5bcc\u7684\u8c03\u5ea6\u7a7a\u95f4\uff0c\u5b9e\u73b0\u4e86\u7b97\u5b50\u95f4\u548c\u7b97\u5b50\u5185\u7684\u534f\u540c\u8c03\u5ea6\uff0c\u4ece\u800c\u53ef\u4ee5\u5168\u9762\u5229\u7528\u5e76\u884c\u6027\u3002\u8fd9\u4e9b\u65b0\u9896\u4e14\u5177\u6709\u542f\u53d1\u5f0f\u7684\u65b9\u6cd5\uff0c\u8ba9 Rammer \u53ef\u4ee5\u66f4\u597d\u5730\u63a2\u7d22\u7a7a\u95f4\u5e76\u627e\u5230\u6709\u6548\u7684\u8c03\u5ea6\uff0c\u5927\u5e45\u63d0\u9ad8\u786c\u4ef6\u5229\u7528\u7387\u3002<\/p>\n\n\n\n<p>\u7814\u7a76\u5458\u4eec\u5728 NVIDIA GPU\u3001AMD GPU \u548c Graphcore IPU \u7b49\u591a\u4e2a\u786c\u4ef6\u540e\u7aef\u5bf9 Rammer \u8fdb\u884c\u4e86\u6d4b\u8bd5\u3002\u5b9e\u9a8c\u8868\u660e\uff0cRammer \u5728 NVIDIA \u548c AMD GPU \u4e0a\u7684\u6027\u80fd\u663e\u8457\u4f18\u4e8e XLA \u548c TVM \u7b49\u6700\u5148\u8fdb\u7684\u7f16\u8bd1\u5668\uff0c\u52a0\u901f\u6bd4\u9ad8\u8fbe20.1\u500d\u3002\u4e0e NVIDIA \u7684\u4e13\u6709 DNN \u63a8\u7406\u5e93 TensorRT \u76f8\u6bd4\uff0c\u52a0\u901f\u6bd4\u8fbe3.1\u500d\u3002<\/p>\n\n\n\n<p>\u8bba\u6587\uff1a<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/rammer-enabling-holistic-deep-learning-compiler-optimizations-with-rtasks\/\">Rammer: Enabling Holistic Deep Learning Compiler Optimizations with rTasks<\/a><\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"ai\u7f16\u8bd1-\u538b\u8def\u673a-roller-\u63d0\u9ad8\u7f16\u8bd1\u6548\u7387\">AI\u7f16\u8bd1\u201c\u538b\u8def\u673a\u201dRoller\uff1a\u63d0\u9ad8\u7f16\u8bd1\u6548\u7387<\/h2>\n\n\n\n<p>\u5728\u8ba1\u7b97\u673a\u82af\u7247\u4e0a\u4e0d\u4ec5\u6709\u5e76\u884c\u8ba1\u7b97\u5355\u5143\uff0c\u8fd8\u6709\u591a\u5c42\u5185\u5b58\uff0c\u4e00\u4e2a\u5927\u7684\u8ba1\u7b97\u4efb\u52a1\u9700\u8981\u4e00\u5c42\u4e00\u5c42\u5730\u5411\u4e0a\u4f20\u9012\uff0c\u5e76\u5728\u8fd9\u4e2a\u8fc7\u7a0b\u4e2d\u5c06\u4efb\u52a1\u9010\u5c42\u5207\u5206\u6210\u66f4\u5c0f\u7684\u201c\u7816\u5757\u201d\uff0c\u6700\u7ec8\u4ea4\u7ed9\u6700\u4e0a\u5c42\u7684\u5904\u7406\u5668\u8fdb\u884c\u8ba1\u7b97\u3002\u8fd9\u5176\u4e2d\u7684\u96be\u70b9\u5728\u4e8e\u5982\u4f55\u628a\u5927\u7684\u201c\u7816\u5757\u201d\u94fa\u6ee1\u5185\u5b58\u7a7a\u95f4\uff0c\u8fdb\u800c\u66f4\u597d\u5730\u5229\u7528\u5185\u5b58\u5e76\u63d0\u5347\u6548\u7387\u3002\u76ee\u524d\u5df2\u6709\u7684\u65b9\u6cd5\u662f\u901a\u8fc7\u673a\u5668\u5b66\u4e60\u8fdb\u884c\u641c\u7d22\uff0c\u5bfb\u627e\u66f4\u597d\u7684\u201c\u7816\u5757\u201d\u5207\u5206\u7b56\u7565\uff0c\u4f46\u662f\u8fd9\u901a\u5e38\u9700\u8981\u6570\u5343\u4e2a\u641c\u7d22\u6b65\u9aa4\uff0c\u6bcf\u4e2a\u6b65\u9aa4\u90fd\u8981\u5728\u52a0\u901f\u5668\u4e2d\u8fdb\u884c\u8bc4\u4f30\uff0c\u4ee5\u627e\u5230\u5408\u7406\u7684\u89e3\u51b3\u65b9\u6848\uff0c\u6240\u4ee5\u8fd9\u4f1a\u82b1\u8d39\u5927\u91cf\u7684\u65f6\u95f4\uff0c\u5982\u7f16\u8bd1\u4e00\u4e2a\u5b8c\u6574\u6a21\u578b\u751a\u81f3\u9700\u8981\u51e0\u5929\u6216\u51e0\u5468\u3002<\/p>\n\n\n\n<p>\u7814\u7a76\u5458\u4eec\u8ba4\u4e3a\uff0c\u5728\u4e86\u89e3\u4e86\u8ba1\u7b97\u903b\u8f91\u548c\u5404\u5185\u5b58\u5c42\u7684\u53c2\u6570\uff0c\u4e5f\u5c31\u662f\u5728\u5df2\u77e5\u8f6f\u4ef6\u548c\u786c\u4ef6\u4fe1\u606f\u7684\u60c5\u51b5\u4e0b\uff0c\u5176\u5b9e\u5b8c\u5168\u53ef\u4ee5\u4f30\u7b97\u51fa\u201c\u7816\u5757\u201d\u5207\u5272\u7684\u6700\u4f73\u65b9\u6cd5\u548c\u5927\u5c0f\uff0c\u4ece\u800c\u5b9e\u73b0\u66f4\u5feb\u7684\u7f16\u8bd1\u3002\u8fd9\u4e5f\u662f Roller \u7684\u8bbe\u8ba1\u601d\u8def\uff0c\u5b83\u76f8\u5f53\u4e8e\u4e00\u53f0\u538b\u8def\u673a\uff0c\u5728\u8003\u8651\u5185\u5b58\u7279\u6027\u7684\u524d\u63d0\u4e0b\uff0c\u50cf\u94fa\u5730\u677f\u4e00\u6837\u628a\u9ad8\u7ef4\u7684\u5f20\u91cf\u6570\u636e\u5e73\u94fa\u5230\u4e8c\u7ef4\u7684\u5185\u5b58\u4e2d\uff0c\u627e\u5230\u6700\u4f18\u7684\u5207\u5757\uff08tile\uff09\u5927\u5c0f\u3002\u540c\u65f6\uff0c\u5b83\u8fd8\u5c01\u88c5\u4e86\u4e0e\u5e95\u5c42\u52a0\u901f\u5668\u7684\u786c\u4ef6\u7279\u6027\u4e00\u81f4\u7684\u5f20\u91cf\u5f62\u72b6\uff0c\u901a\u8fc7\u9650\u5236\u5f62\u72b6\u9009\u62e9\u6765\u5b9e\u73b0\u9ad8\u6548\u7f16\u8bd1\u3002<\/p>\n\n\n\n<p><\/p>\n\n\n\n<figure class=\"wp-block-image size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"740\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/ai-compilor-3-1024x740.png\" alt=\"Roller \u6280\u672f\u6846\u67b6\" class=\"wp-image-1072734\" style=\"width:416px;height:auto\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/ai-compilor-3-1024x740.png 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/ai-compilor-3-300x217.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/ai-compilor-3-768x555.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/ai-compilor-3-1536x1110.png 1536w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/ai-compilor-3-240x173.png 240w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/ai-compilor-3.png 1888w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">Roller \u6280\u672f\u6846\u67b6<\/figcaption><\/figure>\n\n\n\n<p id=\"caption-attachment-45511\"><\/p>\n\n\n\n<p>\u901a\u8fc7\u5bf96\u79cd\u4e3b\u6d41 DNN \u6a21\u578b\u548c119\u79cd\u6d41\u884c\u7684 DNN \u7b97\u5b50\u7684\u8bc4\u4f30\u8868\u660e\uff0cRoller \u53ef\u4ee5\u5728\u51e0\u79d2\u5185\u751f\u6210\u9ad8\u5ea6\u4f18\u5316\u7684\u5185\u6838\uff0c\u5c24\u5176\u662f\u5bf9\u4e8e\u5927\u578b\u6602\u8d35\u7684\u81ea\u5b9a\u4e49\u7b97\u5b50\u3002\u6700\u7ec8\uff0cRoller \u5728\u7f16\u8bd1\u65f6\u95f4\u4e0a\u6bd4\u73b0\u6709\u7684\u7f16\u8bd1\u5668\u5b9e\u73b0\u4e86\u4e09\u4e2a\u6570\u91cf\u7ea7\u7684\u6539\u8fdb\u3002Roller \u751f\u6210\u7684\u5185\u6838\u6027\u80fd\u4e0e\u5305\u62ec DNN \u5e93\u5728\u5185\u7684\u6700\u5148\u8fdb\u7684\u5f20\u91cf\u7f16\u8bd1\u5668\u7684\u6027\u80fd\u76f8\u5f53\uff0c\u6709\u4e9b\u7b97\u5b50\u751a\u81f3\u8868\u73b0\u66f4\u597d\u3002\u4e0e\u6b64\u540c\u65f6\uff0cRoller \u4e5f\u5df2\u88ab\u7528\u4e8e\u5fae\u8f6f\u5185\u90e8\u5f00\u53d1\u7684\u81ea\u5b9a\u4e49 DNN \u5185\u6838\u4e0a\uff0c\u5728\u5b9e\u9645\u5f00\u53d1\u4e2d\u9a8c\u8bc1\u4e86 Roller \u53ef\u4ee5\u663e\u8457\u52a0\u5feb\u5f00\u53d1\u5468\u671f\u7684\u4f18\u8d8a\u6027\u80fd\u3002<\/p>\n\n\n\n<p>\u8bba\u6587\uff1a<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/roller-fast-and-efficient-tensor-compilation-for-deep-learning\/\">ROLLER: Fast and Efficient Tensor Compilation for Deep Learning<\/a><\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"ai\u7f16\u8bd1-\u7535\u710a\u673a-welder-\u964d\u4f4e\u8bbf\u5b58\u91cf-\u63d0\u5347\u8ba1\u7b97\u6548\u7387\">AI\u7f16\u8bd1\u201c\u7535\u710a\u673a\u201dWelder\uff1a\u964d\u4f4e\u8bbf\u5b58\u91cf\uff0c\u63d0\u5347\u8ba1\u7b97\u6548\u7387<\/h2>\n\n\n\n<p>\u73b0\u4ee3 DNN \u6a21\u578b\u5bf9\u9ad8\u901f\u5185\u5b58\u7684\u8981\u6c42\u53d8\u5f97\u8d8a\u6765\u8d8a\u9ad8\uff0c\u5728\u5206\u6790\u4e86\u4e00\u4e9b\u6700\u65b0\u7684 DNN \u6a21\u578b\u540e\uff0c\u7814\u7a76\u5458\u4eec\u53d1\u73b0\u5f53\u524d\u5927\u90e8\u5206 DNN \u8ba1\u7b97\u7684\u74f6\u9888\u4e3b\u8981\u5728\u4e8e GPU \u7684\u8bbf\u5b58\uff0c\u5982\u8fd9\u4e9b\u6a21\u578b\u5bf9\u5185\u5b58\u5e26\u5bbd\u5229\u7528\u7387\u9ad8\u8fbe96.7%\uff0c\u4f46\u8ba1\u7b97\u6838\u7684\u5e73\u5747\u5229\u7528\u7387\u53ea\u670951.6%\uff0c\u800c\u4e14\u968f\u7740\u786c\u4ef6\u4e0e DNN \u6a21\u578b\u7684\u4e0d\u65ad\u53d1\u5c55\uff0c\u8fd9\u4e24\u8005\u4e4b\u95f4\u7684\u5dee\u8ddd\u8fd8\u4f1a\u6301\u7eed\u589e\u5927\u3002\u5c24\u5176\u662f\u5f53\u524d\u7684\u4eba\u5de5\u667a\u80fd\u6a21\u578b\u9700\u8981\u5904\u7406\u9ad8\u4fdd\u771f\u5ea6\u7684\u6570\u636e\uff0c\u5982\u66f4\u5927\u7684\u56fe\u50cf\u3001\u66f4\u957f\u7684\u53e5\u5b50\u3001\u66f4\u9ad8\u6e05\u7684\u56fe\u5f62\uff0c\u8fd9\u4e9b\u6570\u636e\u5728\u8ba1\u7b97\u4e2d\u90fd\u5360\u7528\u4e86\u66f4\u591a\u7684\u5185\u5b58\u5e26\u5bbd\u3002\u540c\u65f6\uff0c\u66f4\u9ad8\u6548\u7684\u4e13\u6709\u8ba1\u7b97\u6838\uff08\u5982TensorCore\uff09\u4e5f\u8fdb\u4e00\u6b65\u52a0\u5927\u4e86\u5185\u5b58\u538b\u529b\u3002<\/p>\n\n\n\n<p>\u4e3a\u4e86\u89e3\u51b3\u5185\u5b58\u95ee\u9898\uff0c\u7814\u7a76\u5458\u4eec\u63d0\u51fa\u4e86 Welder \u6df1\u5ea6\u5b66\u4e60\u7f16\u8bd1\u5668\uff0c\u5168\u9762\u4f18\u5316\u7531\u901a\u7528\u7b97\u5b50\u7ec4\u6210\u7684\u7aef\u5230\u7aef DNN \u6a21\u578b\u7684\u5185\u5b58\u8bbf\u95ee\u6548\u7387\u3002\u5176\u5b9e\uff0cDNN \u6a21\u578b\u53ef\u4ee5\u770b\u4f5c\u662f\u7531\u591a\u4e2a\u7b97\u5b50\u8fde\u6210\u7684\u4e00\u5f20\u56fe\uff0c\u6574\u4e2a\u8ba1\u7b97\u8fc7\u7a0b\u6d89\u53ca\u591a\u4e2a\u9636\u6bb5\uff0c\u5373\u6570\u636e\u9700\u8981\u6d41\u8fc7\u4e0d\u540c\u7684\u7b97\u5b50\uff0c\u5728\u6bcf\u4e2a\u9636\u6bb5\u90fd\u9700\u8981\u5c06\u5f20\u91cf\u5207\u5206\u6210\u5757\uff0c\u5148\u642c\u8fd0\u5230\u5904\u7406\u5668\u4e0a\u8fdb\u884c\u8ba1\u7b97\uff0c\u7136\u540e\u518d\u642c\u8fd0\u56de\u5185\u5b58\uff0c\u8fd9\u5c31\u4f1a\u9020\u6210\u5f88\u5927\u7684\u642c\u8fd0\u5f00\u9500\u3002\u7531\u4e8e\u6574\u4e2a\u8ba1\u7b97\u8fc7\u7a0b\u5305\u542b\u591a\u4e2a\u6d41\u7a0b\uff0c\u6240\u4ee5\u8fd8\u53ef\u4ee5\u5c06\u8fd9\u4e00\u8fc7\u7a0b\u60f3\u8c61\u6210\u9010\u5c42\u5411\u4e0a\u642c\u8fd0\u201c\u7816\u5757\u201d\u7684\u573a\u666f\uff0c\u5176\u4e2d\u7b2c\u4e00\u4e2a\u201c\u5de5\u4eba\u201d\u5c06\u201c\u7816\u5757\u201d\u62ff\u4e0a\u53bb\u52a0\u5de5\u7136\u540e\u518d\u653e\u56de\u53bb\uff0c\u7b2c\u4e8c\u4e2a\u201c\u5de5\u4eba\u201d\u518d\u62ff\u4e0a\u6765\u96d5\u523b\u4e00\u4e0b\u518d\u653e\u56de\u53bb\uff0c\u7136\u540e\u662f\u7b2c\u4e09\u4e2a\u3001\u7b2c\u56db\u4e2a\u2026\u2026\uff0c\u53cd\u590d\u642c\u8fd0\uff0c\u53ef\u4ee5\u9884\u60f3\u5176\u4e2d\u7684\u5f00\u9500\u4e0d\u8a00\u800c\u55bb\u3002\u90a3\u4e48\u662f\u5426\u53ef\u4ee5\u8ba9\u7b2c\u4e00\u4e2a\u201c\u5de5\u4eba\u201d\u5728\u9876\u5c42\u5b8c\u6210\u4e00\u90e8\u5206\u5b50\u4efb\u52a1\u540e\u76f4\u63a5\u4ea4\u7ed9\u4e0b\u4e00\u4e2a\u201c\u5de5\u4eba\u201d\u7ee7\u7eed\u5904\u7406\uff0c\u7136\u540e\u518d\u5c06\u591a\u9879\u4efb\u52a1\u201c\u710a\u63a5\u201d\u8d77\u6765\uff0c\u5b9e\u73b0\u6d41\u6c34\u5316\u4f5c\u4e1a\u5462\uff1fWelder \u6b63\u662f\u626e\u6f14\u4e86\u7535\u710a\u673a\u8fd9\u4e2a\u89d2\u8272\uff0c\u901a\u8fc7\u94fe\u63a5\u4e0d\u540c\u7684\u7b97\u5b50\uff0c\u5b83\u53ef\u4ee5\u8ba9\u6570\u636e\u5757\u4ee5\u6d41\u6c34\u7ebf\u7684\u65b9\u5f0f\u5904\u7406\uff0c\u5927\u5927\u964d\u4f4e\u4e86\u8bbf\u5b58\u91cf\uff0c\u5728\u8fd1\u51e0\u5e74\u4eba\u5de5\u667a\u80fd\u6a21\u578b\u5bf9\u8bbf\u5b58\u6548\u7387\u8981\u6c42\u8d8a\u6765\u8d8a\u9ad8\u7684\u60c5\u51b5\u4e0b\uff0c\u53ef\u4ee5\u5927\u5e45\u63d0\u5347\u8ba1\u7b97\u6548\u7387\u3002<\/p>\n\n\n\n<p><\/p>\n\n\n\n<figure class=\"wp-block-image size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"776\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/ai-compilor-4-1024x776.png\" alt=\"Welder \u6280\u672f\u6846\u67b6\" class=\"wp-image-1072737\" style=\"width:578px;height:auto\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/ai-compilor-4-1024x776.png 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/ai-compilor-4-300x227.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/ai-compilor-4-768x582.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/ai-compilor-4-1536x1164.png 1536w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/ai-compilor-4-80x60.png 80w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/ai-compilor-4-238x180.png 238w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/ai-compilor-4.png 2022w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">Welder \u6280\u672f\u6846\u67b6<\/figcaption><\/figure>\n\n\n\n<p id=\"caption-attachment-45512\"><\/p>\n\n\n\n<p>\u5728\u5bf910\u4e2a\u4e3b\u6d41\u7684 DNN \u6a21\u578b\uff08\u5305\u62ec\u7528\u4e8e\u5404\u79cd\u4efb\u52a1\u7684\u7ecf\u5178\u548c\u6700\u65b0\u6a21\u578b\u7ed3\u6784\uff0c\u5982\u89c6\u89c9\u3001\u81ea\u7136\u8bed\u8a00\u5904\u7406\u30013D \u56fe\u5f62\u7b49\uff09\u8fdb\u884c\u8bc4\u4f30\u540e\u53ef\u4ee5\u8868\u660e\uff0cWelder \u5728 NVIDIA \u548c AMD \u7684 GPU \u4e0a\u90fd\u663e\u8457\u8d85\u8fc7\u4e86\u73b0\u6709\u7684\u4e3b\u6d41\u6846\u67b6\u548c\u7f16\u8bd1\u5668\uff0c\u5982 PyTorch\u3001ONNXRuntime \u548c Ansor\uff0c\u901f\u5ea6\u63d0\u5347\u5206\u522b\u5230\u8fbe21.4\u500d\u30018.7\u500d\u548c2.8\u500d\u3002Welder \u7684\u81ea\u52a8\u4f18\u5316\u751a\u81f3\u8d85\u8fc7\u4e86 TensorRT \u548c Faster Transformer\uff0c\u6700\u9ad8\u53ef\u5b9e\u73b03.0\u500d\u548c1.7\u500d\u7684\u52a0\u901f\u3002\u6b64\u5916\uff0c\u5f53\u5728 TensorCore \u7b49\u5177\u6709\u66f4\u5feb\u8ba1\u7b97\u6838\u5fc3\u7684\u786c\u4ef6\u4e0a\u8fd0\u884c\u8fd9\u4e9b\u6a21\u578b\u65f6\uff0c\u5176\u6027\u80fd\u6709\u4e86\u66f4\u5927\u7684\u63d0\u9ad8\uff0c\u7a81\u663e\u4e86\u5185\u5b58\u4f18\u5316\u5bf9\u672a\u6765\u4eba\u5de5\u667a\u80fd\u52a0\u901f\u5668\u7684\u91cd\u8981\u6027\u3002<\/p>\n\n\n\n<p>\u8bba\u6587\uff1a<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/welder-scheduling-deep-learning-memory-access-via-tile-graph\/\">WELDER: Scheduling Deep Learning Memory Access via Tile-graph<\/a><\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"ai\u7f16\u8bd1-\u7814\u78e8\u673a-grinder-\u8ba9\u63a7\u5236\u6d41\u4e5f\u80fd\u5728\u52a0\u901f\u5668\u4e0a\u9ad8\u6548\u6267\u884c\">AI\u7f16\u8bd1\u201c\u7814\u78e8\u673a\u201dGrinder\uff1a\u8ba9\u63a7\u5236\u6d41\u4e5f\u80fd\u5728\u52a0\u901f\u5668\u4e0a\u9ad8\u6548\u6267\u884c<\/h2>\n\n\n\n<p>\u5728\u8ba1\u7b97\u7a0b\u5e8f\u4e2d\uff0c\u5bf9\u6570\u636e\u5757\u7684\u642c\u8fd0\u8fc7\u7a0b\u6709\u65f6\u5019\u9700\u8981\u5f15\u5165\u4e00\u4e9b\u66f4\u590d\u6742\u7684\u63a7\u5236\u903b\u8f91\uff0c\u8fd9\u5c31\u662f\u4eba\u5de5\u667a\u80fd\u7a0b\u5e8f\u6570\u636e\u6d41\u4e4b\u5916\u7684\u63a7\u5236\u6d41\uff0c\u5982\u5faa\u73af\u5730\u904d\u5386\u4e00\u4e2a\u53e5\u5b50\u4e2d\u7684\u6bcf\u4e2a\u5355\u8bcd\uff0c\u6216\u8005\u6839\u636e\u8f93\u5165\u52a8\u6001\u51b3\u5b9a\u6267\u884c\u54ea\u4e00\u90e8\u5206\u7a0b\u5e8f\u3002\u5f53\u524d\u7684\u7f16\u8bd1\u5668\u5927\u591a\u90fd\u662f\u5728\u89e3\u51b3\u6570\u636e\u6d41\u95ee\u9898\uff0c\u5bf9\u63a7\u5236\u6d41\u7684\u652f\u6301\u5e76\u4e0d\u9ad8\u6548\uff0c\u56e0\u6b64\u5bfc\u81f4\u4e86\u63a7\u5236\u6d41\u8f83\u591a\u7684\u6a21\u578b\u65e0\u6cd5\u9ad8\u6548\u5229\u7528\u52a0\u901f\u5668\u6027\u80fd\u3002\u7814\u7a76\u5458\u4eec\u8ba4\u4e3a\uff0c\u53ef\u4ee5\u5c06\u63a7\u5236\u6d41\u548c\u6570\u636e\u6d41\u5207\u5206\u91cd\u7ec4\u4ee5\u6b64\u6765\u8fdb\u884c\u66f4\u9ad8\u6548\u7684\u4f18\u5316\uff0c\u5e76\u63a8\u51fa\u4e86 Grinder[1]\u3002Grinder \u597d\u50cf\u4e00\u4e2a\u4fbf\u643a\u7684\u7814\u78e8\u5207\u5272\u673a\uff0c\u5b83\u5728\u628a\u6570\u636e\u6d41\u5207\u5206\u6210\u4e0d\u540c\u89c4\u6a21\u7684\u5e76\u884c\u8ba1\u7b97\u5757\u540e\uff0c\u4f1a\u518d\u628a\u63a7\u5236\u6d41\u878d\u5165\u6570\u636e\u6d41\uff0c\u8ba9\u63a7\u5236\u6d41\u4e5f\u80fd\u5728\u52a0\u901f\u5668\u4e0a\u9ad8\u6548\u6267\u884c\u3002<\/p>\n\n\n\n<p><\/p>\n\n\n\n<figure class=\"wp-block-image size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"774\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/ai-compilor-5-1024x774.png\" alt=\"Grinder \u6280\u672f\u6846\u67b6\" class=\"wp-image-1072740\" style=\"width:511px;height:auto\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/ai-compilor-5-1024x774.png 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/ai-compilor-5-300x227.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/ai-compilor-5-768x580.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/ai-compilor-5-1536x1161.png 1536w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/ai-compilor-5-80x60.png 80w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/ai-compilor-5-238x180.png 238w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/08\/ai-compilor-5.png 1712w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">Grinder \u6280\u672f\u6846\u67b6<\/figcaption><\/figure>\n\n\n\n<p id=\"caption-attachment-45513\"><\/p>\n\n\n\n<p>Grinder \u53ef\u4ee5\u5728\u786c\u4ef6\u52a0\u901f\u5668\u4e0a\u5171\u540c\u4f18\u5316\u63a7\u5236\u6d41\u548c\u6570\u636e\u6d41\u7684\u6267\u884c\uff0c\u5e76\u901a\u8fc7\u4e00\u79cd\u65b0\u7684\u62bd\u8c61\u6765\u7edf\u4e00\u5305\u62ec\u63a7\u5236\u6d41\u548c\u6570\u636e\u6d41\u7684\u4eba\u5de5\u667a\u80fd\u6a21\u578b\u7684\u8868\u793a\uff0c\u8fd9\u5c31\u5141\u8bb8 Grinder \u5411\u8f83\u4f4e\u7ea7\u522b\u7684\u786c\u4ef6\u5e76\u884c\u6027\u66b4\u9732\u7528\u4e8e\u91cd\u65b0\u8c03\u5ea6\u63a7\u5236\u6d41\u7684\u6574\u4f53\u8c03\u5ea6\u7a7a\u95f4\u3002Grinder \u4f7f\u7528\u542f\u53d1\u5f0f\u7b56\u7565\u627e\u5230\u4e86\u6709\u6548\u7684\u8c03\u5ea6\u65b9\u6848\uff0c\u4e14\u80fd\u591f\u81ea\u52a8\u5c06\u63a7\u5236\u6d41\u79fb\u52a8\u5230\u8bbe\u5907\u5185\u6838\u4e2d\uff0c\u8fdb\u800c\u5b9e\u73b0\u4e86\u8de8\u63a7\u5236\u6d41\u8fb9\u754c\u7684\u4f18\u5316\u3002\u5b9e\u9a8c\u8868\u660e\uff0cGrinder \u53ef\u4ee5\u5bf9\u63a7\u5236\u6d41\u5bc6\u96c6\u7684 DNN \u6a21\u578b\u52a0\u901f8.2\u500d\uff0c\u662f\u76ee\u524d\u9488\u5bf9\u63a7\u5236\u6d41\u7684 DNN \u6846\u67b6\u548c\u7f16\u8bd1\u5668\u4e2d\u901f\u5ea6\u6700\u5feb\u7684\u4e00\u4e2a\u3002<\/p>\n\n\n\n<p>\u8bba\u6587\uff1a<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/cocktailer-analyzing-and-optimizing-dynamic-control-flow-in-deep-learning\/\">Cocktailer: Analyzing and Optimizing Dynamic Control Flow in Deep Learning<\/a><\/p>\n\n\n\n<p><em>[1] Grinder \u4e3a\u9879\u76ee\u540d\u79f0\uff0c\u8bba\u6587\u4e2d\u7cfb\u7edf\u540d\u79f0\u4e3a Cocktailer<\/em><\/p>\n\n\n\n<p>\u57fa\u4e8e\u540c\u4e00\u5957\u62bd\u8c61\u548c\u7edf\u4e00\u7684\u4e2d\u95f4\u8868\u793a\u5c42\uff08Intermediate Representation\uff0cIR\uff09\uff0c\u8fd9\u56db\u6b3e AI \u7f16\u8bd1\u5668\u89e3\u51b3\u4e86\u5f53\u524d AI \u7f16\u8bd1\u5668\u4e2d\u7684\u4e0d\u540c\u95ee\u9898\u2014\u2014\u5e76\u884c\u3001\u7f16\u8bd1\u6548\u7387\u3001\u5185\u5b58\u3001\u63a7\u5236\u6d41\uff0c\u6784\u6210\u4e86\u4e00\u5957\u5b8c\u6574\u7684\u7f16\u8bd1\u89e3\u51b3\u65b9\u6848\u3002\u5728\u63a8\u8fdb\u7814\u7a76\u7684\u8fdb\u7a0b\u4e2d\uff0c\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u7684\u7f16\u8bd1\u539f\u578b\u7cfb\u7edf\u5df2\u7ecf\u4e3a Office\u3001Bing\u3001Xbox \u7b49\u5fae\u8f6f\u4ea7\u54c1\u7684\u90e8\u7f72\u548c\u6a21\u578b\u4f18\u5316\u63d0\u4f9b\u4e86\u5e2e\u52a9\uff0c\u540c\u65f6\u4e5f\u5728\u5fae\u8f6f\u65b0\u578b\u7b97\u5b50\u7684\u5b9a\u5236\u548c\u4f18\u5316\u4e2d\u53d1\u6325\u4e86\u4f5c\u7528\u3002<\/p>\n\n\n\n<p>\u201c\u5728\u5927\u6a21\u578b\u6210\u4e3a\u4e3b\u6d41\u7684\u4eca\u5929\uff0c\u4eba\u5de5\u667a\u80fd\u6a21\u578b\u5bf9\u6548\u7387\u3001\u7b97\u529b\u6709\u4e86\u66f4\u9ad8\u7684\u8981\u6c42\u3002\u4e00\u65b9\u9762\uff0cAI \u7f16\u8bd1\u5668\u9700\u8981\u9488\u5bf9\u786c\u4ef6\u8d44\u6e90\u505a\u51fa\u6781\u81f4\u7684\u7b97\u5b50\u878d\u5408\u3001\u5b9a\u5236\u548c\u4f18\u5316\uff1b\u53e6\u4e00\u65b9\u9762\uff0c\u4e5f\u9700\u8981\u5bf9\u65b0\u578b\u5927\u89c4\u6a21\u786c\u4ef6\u67b6\u6784\u8fdb\u884c\u7cfb\u7edf\u7f16\u8bd1\u652f\u6301\uff0c\u5982\u7247\u4e0a\u7f51\u7edc\u4e92\u8054\uff08NoC\uff09\u7684\u82af\u7247\u3001\u6df7\u5408\u5185\u5b58\u67b6\u6784\u7b49\uff0c\u751a\u81f3\u901a\u8fc7\u767d\u76d2\u7f16\u8bd1\u65b9\u6cd5\u6307\u5bfc\u786c\u4ef6\u5b9a\u5236\u3002\u6211\u4eec\u63d0\u51fa\u7684\u8fd9\u5957 AI \u7f16\u8bd1\u5668\u5df2\u88ab\u8bc1\u660e\u80fd\u591f\u5927\u5e45\u63d0\u5347 AI \u7f16\u8bd1\u7684\u6548\u7387\uff0c\u53ef\u4ee5\u66f4\u597d\u5730\u52a9\u529b\u4eba\u5de5\u667a\u80fd\u6a21\u578b\u7684\u8bad\u7ec3\u548c\u90e8\u7f72\u3002\u540c\u65f6\uff0c\u5927\u6a21\u578b\u7684\u53d1\u5c55\u4e5f\u4e3a AI \u7f16\u8bd1\u5e26\u6765\u4e86\u673a\u9047\uff0c\u672a\u6765\u5927\u6a21\u578b\u672c\u8eab\u6216\u8bb8\u5c31\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u5b9e\u73b0\u4f18\u5316\u548c\u7f16\u8bd1\u3002\u201d\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u9996\u5e2d\u7814\u7a76\u5458\u859b\u7ee7\u9f99\u8868\u793a\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u7f16\u8005\u6309\uff1a\u7f16\u8bd1\u5668\u5728\u4f20\u7edf\u8ba1\u7b97\u79d1\u5b66\u4e2d\u4e00\u76f4\u662f\u4e00\u4e2a\u91cd\u8981\u7684\u7814\u7a76\u8bfe\u9898\u3002\u5728\u4eba\u5de5\u667a\u80fd\u6280\u672f\u5feb\u901f\u53d1\u5c55\u548c\u5e7f\u6cdb\u5e94\u7528\u7684\u4eca\u5929\uff0c\u4eba\u5de5\u667a\u80fd\u6a21\u578b\u9700\u8981\u90e8\u7f72\u5728\u591a\u6837\u5316\u7684\u8ba1\u7b97\u673a\u786c\u4ef6\u67b6\u6784\u4e0a\u3002\u540c\u65f6\uff0c\u8bad\u7ec3\u548c\u90e8\u7f72\u5927\u578b\u4eba\u5de5\u667a\u80fd\u6a21\u578b\u65f6\u53c8\u5bf9\u786c\u4ef6\u6027\u80fd\u6709\u7740\u66f4\u9ad8\u7684\u8981\u6c42\uff0c\u6709\u65f6\u8fd8\u9700\u6839\u636e\u786c\u4ef6\u5b9a\u5236\u5316\u4ee3\u7801\u3002\u8fd9\u4e9b\u90fd\u5bf9\u4eba\u5de5\u667a\u80fd\u65f6\u4ee3\u7684\u7f16\u8bd1\u5668\u63d0\u51fa\u4e86\u65b0\u7684\u66f4\u9ad8\u7684\u8981\u6c42\u3002 \u4e3a\u4e86\u9002\u5e94\u8fc5\u901f\u53d1\u5c55\u7684\u4eba\u5de5\u667a\u80fd\u6a21\u578b\u548c\u52a0\u901f\u786c\u4ef6\u7684\u9700\u6c42\uff0c\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u4ee5\u8bbe\u8ba1\u548c\u6784\u5efa\u5177\u6709\u9ad8\u5ea6\u7075\u6d3b\u6027\u3001\u9ad8\u6548\u6027\u3001\u53ef\u6269\u5c55\u7684 AI \u7f16\u8bd1\u5668\u67b6\u6784\u4e3a\u76ee\u6807\uff0c\u4e0e\u6d77\u5185\u5916\u5408\u4f5c\u8005\u5c55\u5f00\u7814\u7a76\u5e76\u63d0\u51fa\u4e86\u4e00\u5957\u5305\u542b Rammer\u3001Roller\u3001Welder\u3001Grinder \u56db\u6b3e AI \u7f16\u8bd1\u5668\u7684\u7cfb\u7edf\u6027\u89e3\u51b3\u65b9\u6848\uff0c\u5c06\u63d0\u5347\u786c\u4ef6\u5e76\u884c\u5229\u7528\u7387\u3001\u63d0\u9ad8\u7f16\u8bd1\u6548\u7387\u3001\u4f18\u5316\u5168\u5c40\u8bbf\u5b58\u6548\u7387\u3001\u4f18\u5316\u63a7\u5236\u6d41\u7684\u9ad8\u6548\u6267\u884c\u7b49\u51e0\u5927\u96be\u9898\u901a\u901a\u641e\u5b9a\u3002\u56db\u7bc7\u76f8\u5173\u8bba\u6587\u5df2\u5148\u540e\u88ab2020\u5e74\u30012022\u5e74\u30012023\u5e74\u7684 OSDI \u5927\u4f1a\u63a5\u6536\u3002 \u7f16\u8bd1\u662f\u7a0b\u5e8f\u5f00\u53d1\u7684\u4e00\u4e2a\u91cd\u8981\u6b65\u9aa4\u2014\u2014\u628a\u7528\u9ad8\u7ea7\u8bed\u8a00\u4e66\u5199\u7684\u6e90\u4ee3\u7801\u7ffb\u8bd1\u6210\u5728\u8ba1\u7b97\u673a\u786c\u4ef6\u53ef\u6267\u884c\u7684\u673a\u5668\u7801\uff0c\u800c\u7f16\u8bd1\u5668\u5c31\u662f\u5b9e\u73b0\u8fd9\u4e00\u529f\u80fd\u7684\u7279\u6b8a\u5e94\u7528\u7a0b\u5e8f\u3002\u5982\u4eca\uff0c\u4eba\u5de5\u667a\u80fd\u6280\u672f\u548c\u5927\u6a21\u578b\u65e0\u7591\u662f\u5f53\u4eca\u8ba1\u7b97\u673a\u9886\u57df\u7684 C \u4f4d\u62c5\u5f53\uff0c\u5176\u81ea\u8eab\u7684\u7279\u6027\u4e5f\u5bf9\u7f16\u8bd1\u5668\u63d0\u51fa\u4e86\u65b0\u7684\u6311\u6218\u3002 \u4ece\u6700\u521d\u7684 RNN\u3001CNN \u5230 Transformer\uff0c\u4eba\u5de5\u667a\u80fd\u7684\u4e3b\u6d41\u6a21\u578b\u67b6\u6784\u5728\u4e0d\u65ad\u53d8\u5316\uff0c\u8fd9\u610f\u5473\u7740\u4e0a\u5c42\u7684\u5e94\u7528\u7a0b\u5e8f\u4e5f\u5728\u968f\u4e4b\u6539\u53d8\u3002\u540c\u65f6\uff0c\u5e95\u5c42\u52a0\u901f\u5668\u786c\u4ef6\u5982 GPU\u3001NPU \u7b49\uff0c\u4e5f\u5728\u5feb\u901f\u8fed\u4ee3\u66f4\u65b0\uff0c\u6709\u4e9b\u65b0\u7684\u786c\u4ef6\u8bbe\u8ba1\u751a\u81f3\u98a0\u8986\u4e86\u4e4b\u524d\u7684\u67b6\u6784\u3002\u90a3\u4e48\uff0c\u8981\u60f3\u8ba9\u65b0\u7684\u4eba\u5de5\u667a\u80fd\u6a21\u578b\u66f4\u597d\u5730\u8fd0\u884c\u5728\u65b0\u7684\u82af\u7247\u7b49\u8ba1\u7b97\u673a\u786c\u4ef6\u4e0a\uff0c\u5c31\u9700\u8981\u5168\u65b0\u7684 AI \u7f16\u8bd1\u5668\u3002 \u5bf9\u6b64\uff0c\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u7684\u7814\u7a76\u5458\u4eec\u548c\u56fd\u5185\u5916\u5408\u4f5c\u8005\u56f4\u7ed5\u7740 AI \u7f16\u8bd1\u5668\u7684\u6838\u5fc3\u95ee\u9898\u5c55\u5f00\u4e86\u4e00\u7cfb\u5217\u7814\u7a76\u5de5\u4f5c\uff0c\u5e76\u9646\u7eed\u63a8\u51fa\u4e86 AI \u7f16\u8bd1\u754c\u7684\u201c\u5de5\u4e1a\u91cd\u91d1\u5c5e\u56db\u90e8\u66f2\u201d\uff1aRammer\u3001Roller\u3001Welder\u3001Grinder\uff0c\u4e3a\u5f53\u524d\u4e3b\u6d41\u7684\u4eba\u5de5\u667a\u80fd\u6a21\u578b\u548c\u786c\u4ef6\u7f16\u8bd1\u63d0\u4f9b\u4e86\u7cfb\u7edf\u6027\u7684\u521b\u65b0\u89e3\u51b3\u65b9\u6cd5\u3002 \u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\uff08DNN\uff09\u662f\u5f53\u524d\u56fe\u50cf\u5206\u7c7b\u3001\u81ea\u7136\u8bed\u8a00\u5904\u7406\u548c\u8bb8\u591a\u5176\u4ed6\u4eba\u5de5\u667a\u80fd\u4efb\u52a1\u4e2d\u5e7f\u6cdb\u91c7\u7528\u7684\u65b9\u6cd5\u3002\u7531\u4e8e\u5176\u91cd\u8981\u6027\uff0c\u8bb8\u591a\u8ba1\u7b97\u8bbe\u5907\uff0c\u5982 CPU\u3001GPU\u3001FPGA \u548c\u4e13\u95e8\u8bbe\u8ba1\u7684 DNN \u52a0\u901f\u5668\u88ab\u7528\u6765\u6267\u884c DNN \u8ba1\u7b97\u3002\u5176\u4e2d\u5f71\u54cd DNN \u8ba1\u7b97\u6548\u7387\u7684\u5173\u952e\u56e0\u7d20\u4e4b\u4e00\u662f\u8c03\u5ea6\uff0c\u5373\u51b3\u5b9a\u5728\u76ee\u6807\u786c\u4ef6\u4e0a\u6267\u884c\u5404\u79cd\u8ba1\u7b97\u4efb\u52a1\u7684\u987a\u5e8f\u3002\u73b0\u6709\u7684 DNN \u6846\u67b6\u548c\u7f16\u8bd1\u5668\u901a\u5e38\u5c06\u6570\u636e\u6d41\u56fe\uff08data flow graph\uff09\u4e2d\u7684 DNN \u7b97\u5b50\u89c6\u4e3a\u4e0d\u900f\u660e\u7684\u5e93\u51fd\u6570\uff0c\u5e76\u5c06\u5b83\u4eec\u8c03\u5ea6\u5230\u52a0\u901f\u5668\u4e0a\u5355\u72ec\u6267\u884c\u3002\u540c\u65f6\uff0c\u8fd9\u4e00\u8fc7\u7a0b\u8fd8\u4f9d\u8d56\u4e8e\u53e6\u4e00\u5c42\u8c03\u5ea6\u5668\uff08\u901a\u5e38\u5728\u786c\u4ef6\u4e2d\u5b9e\u73b0\uff09\u6765\u5229\u7528\u7b97\u5b50\u4e2d\u53ef\u7528\u7684\u5e76\u884c\u7279\u6027\u3002\u8fd9\u6837\u7684\u4e24\u5c42\u65b9\u6cd5\u5c31\u5bfc\u81f4\u4e86\u663e\u8457\u7684\u8c03\u5ea6\u5f00\u9500\uff0c\u5e76\u4e14\u901a\u5e38\u4e0d\u80fd\u5145\u5206\u5229\u7528\u53ef\u7528\u7684\u786c\u4ef6\u8d44\u6e90\u3002 \u4e3a\u6b64\uff0c\u7814\u7a76\u5458\u4eec\u63d0\u51fa\u4e86\u4e00\u79cd\u65b0\u7684 DNN \u7f16\u8bd1\u5668 Rammer\uff0c\u5b83\u53ef\u4ee5\u4f18\u5316 DNN \u5de5\u4f5c\u8d1f\u8f7d\u5728\u5927\u89c4\u6a21\u5e76\u884c\u52a0\u901f\u5668\u4e0a\u7684\u6267\u884c\u3002\u4e8b\u5b9e\u4e0a\uff0c\u6211\u4eec\u53ef\u4ee5\u5c06\u8fdb\u884c AI \u7f16\u8bd1\u65f6\u7684\u8c03\u5ea6\u7a7a\u95f4\u60f3\u8c61\u6210\u4e00\u4e2a\u4e8c\u7ef4\u7a7a\u95f4\uff0c\u5e76\u5c06\u8ba1\u7b97\u4efb\u52a1\u770b\u4f5c\u662f\u53ef\u4ee5\u88ab\u62c6\u5206\u6210\u4e0d\u540c\u5927\u5c0f\u548c\u5f62\u72b6\u7684\u201c\u7816\u5757\u201d\uff0c\u8c03\u5ea6\u7684\u76ee\u7684\u5c31\u662f\u5728\u4e8c\u7ef4\u7a7a\u95f4\u7684\u8ba1\u7b97\u5355\u5143\u4e0a\u5c06\u8fd9\u4e9b\u201c\u7816\u5757\u201d\u50cf\u5792\u5899\u4e00\u6837\u7d27\u5bc6\u6392\u5217\u8d77\u6765\uff0c\u6700\u5927\u7a0b\u5ea6\u5730\u5229\u7528\u8ba1\u7b97\u5355\u5143\u4e0d\u7559\u7a7a\u9699\uff0c\u56e0\u4e3a\u4e00\u65e6\u51fa\u73b0\u7a7a\u9699\uff0c\u4e0d\u4ec5\u5df2\u6709\u7a7a\u95f4\u5f97\u4e0d\u5230\u6709\u6548\u5229\u7528\uff0c\u800c\u4e14\u8fd8\u4f1a\u5f71\u54cd\u201c\u5792\u5899\u201d\u7684\u901f\u5ea6\u3002\u800c Rammer \u5c31\u662f\u8fd9\u4e2a\u4e8c\u7ef4\u7a7a\u95f4\u4e2d\u7684\u4e00\u53f0\u201c\u592f\u571f\u673a\u201d\uff0c\u5728\u5c06 DNN \u7a0b\u5e8f\u7ffb\u8bd1\u6210\u201c\u7816\u5757\u201d\u540e\uff0c\u53ef\u653e\u7f6e\u5728\u82af\u7247\u7684\u4e0d\u540c\u8ba1\u7b97\u5355\u5143\u4e0a\uff0c\u5c06\u5176\u538b\u5b9e\u3002 \u6362\u8a00\u4e4b\uff0cRammer \u5728\u7f16\u8bd1\u65f6\u4e3a [&hellip;]<\/p>\n","protected":false},"author":34512,"featured_media":1072725,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-content-parent":1012650,"msr_hide_image_in_river":0,"footnotes":""},"research-area":[],"msr-locale":[268881],"msr-post-option":[],"class_list":["post-1072575","msr-blog-post","type-msr-blog-post","status-publish","has-post-thumbnail","hentry","msr-locale-zh_cn"],"msr_assoc_parent":{"id":1012650,"type":"lab"},"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-blog-post\/1072575","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-blog-post"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-blog-post"}],"author":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/users\/34512"}],"version-history":[{"count":3,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-blog-post\/1072575\/revisions"}],"predecessor-version":[{"id":1072743,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-blog-post\/1072575\/revisions\/1072743"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/1072725"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=1072575"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=1072575"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=1072575"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=1072575"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}