{"id":17528,"date":"2025-04-19T00:03:06","date_gmt":"2025-04-18T16:03:06","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/17528.html"},"modified":"2025-04-19T00:03:06","modified_gmt":"2025-04-18T16:03:06","slug":"deepspeed%e5%a4%9a%e6%9c%ba%e5%a4%9a%e5%8d%a1%e8%ae%ad%e7%bb%83%e6%9c%8d%e5%8a%a1%e5%99%a8%e4%b9%8b%e9%97%b4%ef%bc%8c%e5%92%8c%e6%9c%8d%e5%8a%a1%e5%99%a8%e5%86%85%e4%b8%a4%e4%b8%aagpu%e6%98%af","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/17528.html","title":{"rendered":"deepSpeed\u591a\u673a\u591a\u5361\u8bad\u7ec3\u670d\u52a1\u5668\u4e4b\u95f4\uff0c\u548c\u670d\u52a1\u5668\u5185\u4e24\u4e2aGPU\u662f\u600e\u4e48\u901a\u4fe1"},"content":{"rendered":"<p>DeepSpeed \u5728\u591a\u673a\u591a\u5361\u8bad\u7ec3\u65f6&#xff0c;\u4e3b\u8981\u4f9d\u8d56 NCCL \u548c PyTorch Distributed \u8fdb\u884c\u901a\u4fe1\u3002\u5177\u4f53\u6765\u8bf4&#xff0c;\u5206\u4e3a\u670d\u52a1\u5668\u4e4b\u95f4\u548c\u670d\u52a1\u5668\u5185\u4e24\u79cd\u60c5\u51b5&#xff1a;<\/p>\n<hr \/>\n<h4>1. \u670d\u52a1\u5668\u4e4b\u95f4\u7684\u901a\u4fe1&#xff08;\u8de8\u8282\u70b9\u901a\u4fe1&#xff09;<\/h4>\n<p>DeepSpeed \u91c7\u7528 NCCL&#xff08;NVIDIA Collective Communications Library&#xff09;\u4f5c\u4e3a\u4e3b\u8981\u7684\u901a\u4fe1\u540e\u7aef&#xff0c;\u7ed3\u5408 PyTorch Distributed \u5b9e\u73b0\u6570\u636e\u540c\u6b65\u3002\u5176\u6838\u5fc3\u539f\u7406\u5982\u4e0b&#xff1a;<\/p>\n<ul>\n<li>\u8fdb\u7a0b\u7ec4\u901a\u4fe1&#xff1a;DeepSpeed \u4f7f\u7528 torch.distributed \u8fdb\u884c \u8fdb\u7a0b\u7ec4&#xff08;Process Group&#xff09; \u7ba1\u7406&#xff0c;\u6bcf\u4e2a GPU \u90fd\u662f\u4e00\u4e2a\u72ec\u7acb\u8fdb\u7a0b&#xff0c;\u6bcf\u4e2a\u670d\u52a1\u5668\u4e0a\u7684\u6240\u6709\u8fdb\u7a0b\u5f62\u6210\u4e00\u4e2a\u96c6\u7fa4\u3002<\/li>\n<li>NCCL \u540e\u7aef\u901a\u4fe1&#xff1a;\n<ul>\n<li>\u4e3b\u8981\u4f7f\u7528 AllReduce\u3001AllGather \u548c ReduceScatter \u8fdb\u884c\u68af\u5ea6\u540c\u6b65\u548c\u53c2\u6570\u805a\u5408\u3002<\/li>\n<li>NCCL \u901a\u8fc7 InfiniBand \u6216 RDMA \u63d0\u4f9b\u9ad8\u5e26\u5bbd\u3001\u4f4e\u5ef6\u8fdf\u7684\u901a\u4fe1\u80fd\u529b\u3002<\/li>\n<li>\u9ed8\u8ba4\u4f7f\u7528 TCP \u6216 RDMA \u8fdb\u884c\u6570\u636e\u4f20\u8f93&#xff0c;\u5177\u4f53\u53d6\u51b3\u4e8e\u7f51\u7edc\u914d\u7f6e\u3002<\/li>\n<\/ul>\n<\/li>\n<li>Rendezvous \u673a\u5236&#xff1a;DeepSpeed \u901a\u8fc7 torch.distributed.launch \u6216 deepspeed.init_distributed() \u81ea\u52a8\u5efa\u7acb\u901a\u4fe1&#xff0c;\u786e\u4fdd\u6240\u6709\u8fdb\u7a0b\u6b63\u786e\u8fde\u63a5\u3002<\/li>\n<\/ul>\n<h5>\u5177\u4f53\u7684\u901a\u4fe1\u6d41\u7a0b<\/h5>\n<li>\u53c2\u6570\u5e7f\u64ad&#xff08;Broadcast&#xff09;&#xff1a;\u6240\u6709\u8fdb\u7a0b\u4ece rank&#061;0 \u7684\u4e3b\u8fdb\u7a0b\u83b7\u53d6\u521d\u59cb\u53c2\u6570&#xff0c;\u5e76\u8fdb\u884c\u540c\u6b65\u3002<\/li>\n<li>\u68af\u5ea6\u540c\u6b65&#xff08;Gradient AllReduce&#xff09;&#xff1a;\n<ul>\n<li>\u6bcf\u4e2a GPU \u8ba1\u7b97\u68af\u5ea6\u540e&#xff0c;\u4f7f\u7528 NCCL AllReduce \u805a\u5408\u6240\u6709\u68af\u5ea6\u3002<\/li>\n<li>\u8ba1\u7b97\u5b8c\u6210\u540e&#xff0c;\u5c06\u68af\u5ea6\u66f4\u65b0\u5230\u672c\u5730\u53c2\u6570\u4e2d&#xff0c;\u786e\u4fdd\u6240\u6709\u8282\u70b9\u7684\u6a21\u578b\u6743\u91cd\u4e00\u81f4\u3002<\/li>\n<\/ul>\n<\/li>\n<li>\u53c2\u6570\u66f4\u65b0&#xff08;Optimizer Step&#xff09;&#xff1a;\n<ul>\n<li>DeepSpeed \u53ef\u4ee5\u9009\u62e9 ZeRO \u4f18\u5316\u5668&#xff0c;\u5c06\u4f18\u5316\u8ba1\u7b97\u5206\u5e03\u5230\u591a\u4e2a GPU \u4e0a&#xff0c;\u4ee5\u51cf\u5c11\u663e\u5b58\u5360\u7528\u3002<\/li>\n<li>\u5982\u679c\u4f7f\u7528 ZeRO-3&#xff0c;DeepSpeed \u8fd8\u4f1a\u5206\u7247\u5b58\u50a8\u6a21\u578b\u53c2\u6570&#xff0c;\u5728\u53c2\u6570\u66f4\u65b0\u65f6\u9700\u8981\u901a\u4fe1\u3002<\/li>\n<\/ul>\n<\/li>\n<hr \/>\n<h4>2. \u670d\u52a1\u5668\u5185\u7684\u901a\u4fe1&#xff08;\u5355\u8282\u70b9\u591a GPU \u901a\u4fe1&#xff09;<\/h4>\n<p>\u5355\u673a\u591a\u5361\u60c5\u51b5\u4e0b&#xff0c;DeepSpeed \u4ecd\u7136\u4f9d\u8d56 NCCL \u8fdb\u884c GPU \u95f4\u7684\u901a\u4fe1\u3002\u6838\u5fc3\u673a\u5236\u5982\u4e0b&#xff1a;<\/p>\n<ul>\n<li>NCCL Ring-AllReduce&#xff1a;\u6240\u6709 GPU \u901a\u8fc7 PCIe \u6216 NVLink \u4e92\u8fde&#xff0c;\u5f62\u6210\u73af\u72b6\u62d3\u6251&#xff0c;\u6bcf\u4e2a GPU \u8d1f\u8d23\u4f20\u8f93\u6570\u636e\u7684\u4e00\u90e8\u5206&#xff0c;\u4ece\u800c\u5b9e\u73b0\u68af\u5ea6\u805a\u5408\u3002<\/li>\n<li>Shared Memory&#xff1a;\u5982\u679c\u591a\u5f20 GPU \u4e4b\u95f4\u6709 NVLink&#xff0c;NCCL \u4f1a\u5229\u7528 CUDA IPC&#xff08;Inter-Process Communication&#xff09; \u5171\u4eab\u663e\u5b58&#xff0c;\u63d0\u9ad8\u6570\u636e\u4f20\u8f93\u6548\u7387\u3002<\/li>\n<li>ZeRO Offload&#xff1a;\u5982\u679c\u663e\u5b58\u4e0d\u8db3&#xff0c;\u53ef\u4ee5\u9009\u62e9\u5c06\u90e8\u5206\u8ba1\u7b97\u8f6c\u79fb\u5230 CPU \u8fdb\u884c\u3002<\/li>\n<\/ul>\n<h5>\u5177\u4f53\u901a\u4fe1\u65b9\u5f0f<\/h5>\n<li>GPU \u4e4b\u95f4\u6570\u636e\u540c\u6b65\n<ul>\n<li>\u9ed8\u8ba4\u91c7\u7528 NCCL AllReduce \u5b9e\u73b0\u6240\u6709 GPU \u4e4b\u95f4\u7684\u68af\u5ea6\u805a\u5408\u3002<\/li>\n<li>\u5982\u679c\u4f7f\u7528 ZeRO-2 \u6216 ZeRO-3&#xff0c;DeepSpeed \u8fd8\u4f1a\u5bf9\u4f18\u5316\u5668\u72b6\u6001\u548c\u53c2\u6570\u8fdb\u884c\u5206\u7247\u5b58\u50a8\u548c\u4ea4\u6362\u3002<\/li>\n<\/ul>\n<\/li>\n<li>\u6570\u636e\u5e76\u884c&#xff08;Data Parallelism&#xff09;\n<ul>\n<li>\u6bcf\u4e2a GPU \u8d1f\u8d23\u4e0d\u540c\u7684\u6570\u636e\u6279\u6b21&#xff0c;\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u4fdd\u6301\u6a21\u578b\u53c2\u6570\u4e00\u81f4\u3002<\/li>\n<li>DeepSpeed \u901a\u8fc7 NCCL \u8fdb\u884c\u68af\u5ea6\u540c\u6b65&#xff0c;\u907f\u514d\u53c2\u6570\u6f02\u79fb\u3002<\/li>\n<\/ul>\n<\/li>\n<hr \/>\n<h4>3. \u603b\u7ed3<\/h4>\n<table>\n<tr>\u901a\u4fe1\u5c42\u7ea7\u901a\u4fe1\u65b9\u5f0f\u4f20\u8f93\u4ecb\u8d28<\/tr>\n<tbody>\n<tr>\n<td>\u670d\u52a1\u5668\u4e4b\u95f4<\/td>\n<td>NCCL &#043; PyTorch Distributed<\/td>\n<td>TCP \/ InfiniBand \/ RDMA<\/td>\n<\/tr>\n<tr>\n<td>\u670d\u52a1\u5668\u5185\u90e8<\/td>\n<td>NCCL AllReduce \/ CUDA IPC<\/td>\n<td>PCIe \/ NVLink<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>DeepSpeed \u4e3b\u8981\u4f9d\u9760 NCCL \u8fdb\u884c GPU \u4e4b\u95f4\u7684\u68af\u5ea6\u540c\u6b65&#xff0c;\u5e76\u901a\u8fc7 ZeRO \u8fdb\u884c\u53c2\u6570\u4f18\u5316\u548c\u5206\u7247&#xff0c;\u4ee5\u51cf\u5c11\u663e\u5b58\u5360\u7528&#xff0c;\u63d0\u9ad8\u8bad\u7ec3\u6548\u7387\u3002\u5728\u591a\u673a\u591a\u5361\u73af\u5883\u4e0b&#xff0c;\u5b83\u4f9d\u8d56 torch.distributed \u6765\u521d\u59cb\u5316\u5206\u5e03\u5f0f\u8fdb\u7a0b&#xff0c;\u5e76\u4f7f\u7528 InfiniBand\/RDMA \u8fdb\u884c\u9ad8\u6548\u7684\u6570\u636e\u4f20\u8f93\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u6587\u7ae0\u6d4f\u89c8\u9605\u8bfb744\u6b21\uff0c\u70b9\u8d5e19\u6b21\uff0c\u6536\u85cf8\u6b21\u3002DeepSpeed \u5728\u591a\u673a\u591a\u5361\u8bad\u7ec3\u65f6\uff0c\u4e3b\u8981\u4f9d\u8d56NCCL\u548cPyTorch Distributed\u8fdb\u884c\u901a\u4fe1\u3002_\u81ea\u4e3b\u642d\u5efagpu\u5206\u5e03\u5f0f\u73af\u5883\u5982\u4f55\u5b9e\u73b0\u4e24\u673a\u4e4b\u95f4\u7684\u901a\u8baf<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[1319,50,1318,43,44],"topic":[],"class_list":["post-17528","post","type-post","status-publish","format-standard","hentry","category-server","tag-ai-","tag-50","tag-1318","tag-43","tag-44"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.3 - 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