4. \u7cfb\u7edf\u7ea7\u76d1\u63a7\u4e0e\u52a8\u6001\u8d44\u6e90\u5206\u914d<\/strong><\/h2>\n

\n \u6301\u7eed\u76d1\u63a7\u4e0e\u81ea\u9002\u5e94\u8c03\u5ea6\u662f\u7ef4\u6301\u6027\u80fd\u5e73\u8861\u7684\u5173\u952e\uff1a<\/p>\n

\n
1. \u5b9e\u65f6\u76d1\u63a7\u5de5\u5177\uff1a\u7ed3\u5408nvidia-smi<\/code>\u3001dmon<\/code>\u4e0ecupti<\/code>\uff0c\u8ffd\u8e2aGPU\u5229\u7528\u7387\u3001\u5185\u5b58\u62f7\u8d1d\u901f\u5ea6\u53caCPU\u7a7a\u95f2\u65f6\u95f4\u3002\u5bf9\u4e8e\u5206\u5e03\u5f0f\u7cfb\u7edf\uff0c\u53ef\u642d\u5efaPrometheus-Grafana\u67b6\u6784\uff0c\u5e76\u914d\u7f6e\u81ea\u5b9a\u4e49\u670d\u52a1\u5668\u76d1\u63a7\u4eea\u8868\u76d8\u3002<\/li>\n
2. \u52a8\u6001\u8d1f\u8f7d\u5747\u8861\uff1a\u90e8\u7f72\u57fa\u4e8e\u5b9e\u65f6\u6307\u6807\u8c03\u6574\u4efb\u52a1\u5206\u914d\u7684\u7b97\u6cd5\u3002\u57fa\u4e8e\u673a\u5668\u5b66\u4e60\u7684\u8c03\u5ea6\u5668\u53ef\u9884\u6d4b\u8d44\u6e90\u9700\u6c42\uff0c\u5e76\u4f18\u5316\u6df7\u5408CPU-GPU\u5de5\u4f5c\u8d1f\u8f7d\u7684\u4efb\u52a1\u6392\u961f\u673a\u5236\u3002<\/li>\n
3. \u56fa\u4ef6\u66f4\u65b0\uff1a\u5728BIOS\u4e2d\u542f\u7528\u53ef\u8c03\u6574\u5927\u5c0f\u7684\u57fa\u5740\u5bc4\u5b58\u5668\uff08Resizable BAR\uff09\uff0c\u63d0\u5347GPU\u5bf9\u7cfb\u7edf\u5185\u5b58\u7684\u8bbf\u95ee\u6548\u7387\uff0c\u6027\u80fd\u6709\u671b\u63d0\u534710%-15%\u3002\u540c\u65f6\u5b9a\u671f\u66f4\u65b0BMC\u56fa\u4ef6\uff0c\u4ee5\u5b9e\u73b0\u66f4\u5148\u8fdb\u7684\u786c\u4ef6\u5065\u5eb7\u76d1\u63a7\u3002<\/li>\n<\/ol>\n

   5. \u5e94\u7528\u7ea7\u9002\u914d\uff1a\u8ba9\u5de5\u4f5c\u8d1f\u8f7d\u5339\u914d\u786c\u4ef6\u80fd\u529b<\/strong><\/h2>\n

   \n \u8c03\u6574\u7b97\u6cd5\u4ee5\u5145\u5206\u53d1\u6325CPU\u4e0eGPU\u7684\u4f18\u52bf\uff1a<\/p>\n

   \n
   • \u8ba1\u7b97\u5bc6\u96c6\u578b\u5de5\u4f5c\u8d1f\u8f7d\uff1a\u4f7f\u7528\u9ad8\u6027\u80fd\u5e93\u4f18\u5316\u77e9\u9635\u8fd0\u7b97\uff0c\u5982GPU\u9002\u7528\u7684cuBLAS\u5e93\u4e0eCPU\u9002\u7528\u7684MKL\u5e93\u3002\u91c7\u7528\u6df7\u5408\u5e76\u884c\u6a21\u578b\uff0c\u901a\u8fc7OpenMP\u5b9e\u73b0CPU\u591a\u7ebf\u7a0b\uff0c\u501f\u52a9CUDA\u5b9e\u73b0GPU\u52a0\u901f\u3002<\/li>\n
   • \u6570\u636e\u5bc6\u96c6\u578b\u4efb\u52a1\uff1a\u5728CPU\u4e0a\u4f7f\u7528\u5e26\u9884\u53d6\u7f13\u51b2\u533a\u7684\u5f02\u6b65\u6570\u636e\u52a0\u8f7d\u65b9\u5f0f\uff0c\u4e3aGPU\u4f9b\u6570\u3002\u5347\u7ea7\u81f3NVMe over Fabrics\u5b58\u50a8\u63a5\u53e3\u4ee5\u964d\u4f4eI\/O\u5ef6\u8fdf\uff0c\u8fd9\u5bf9\u4e8e\u5bb9\u91cf\u8d85\u8fc7\u7cfb\u7edf\u5185\u5b58\u7684\u6570\u636e\u96c6\u800c\u8a00\u662f\u5173\u952e\u6b65\u9aa4\u3002<\/li>\n
   • \u5b9e\u9645\u5e94\u7528\u573a\u666f\uff1a\u6df1\u5ea6\u5b66\u4e60\u4e2d\uff0c\u68af\u5ea6\u7d2f\u79ef\u6280\u672f\u53ef\u901a\u8fc7\u51cf\u5c11\u9891\u7e41\u7684\u5c0f\u89c4\u6a21\u6570\u636e\u4f20\u8f93\uff0c\u5e73\u8861CPU-GPU\u8d44\u6e90\u5360\u7528\uff1b\u89c6\u9891\u5904\u7406\u573a\u666f\u4e0b\uff0c\u53ef\u5c06\u7f16\u7801\u903b\u8f91\u5378\u8f7d\u81f3CPU\uff0c\u540c\u65f6\u8ba9GPU\u8d1f\u8d23\u5e76\u884c\u5e27\u6e32\u67d3\u3002<\/li>\n<\/ul>\n

     6. \u9762\u5411\u591a\u6837\u5316\u5de5\u4f5c\u8d1f\u8f7d\u7684\u9ad8\u6027\u4ef7\u6bd4\u65b9\u6848<\/strong><\/h2>\n

     \n \u901a\u8fc7\u4ee5\u4e0b\u7b56\u7565\u5e73\u8861\u6027\u80fd\u4e0e\u9884\u7b97\uff1a<\/p>\n

     \n
     1. \u5165\u95e8\u7ea7\u914d\u7f6e\uff1a\u5c06\u7ffb\u65b0CPU\u4e0e\u5168\u65b0GPU\u7ec4\u5408\uff0c\u964d\u4f4e\u6210\u672c\u3002GangScheduler\u7b49\u5f00\u6e90\u5de5\u5177\u53ef\u5728\u65e0\u9700\u4ed8\u8d39\u8f6f\u4ef6\u8bb8\u53ef\u7684\u60c5\u51b5\u4e0b\uff0c\u4f18\u5316\u8d44\u6e90\u5206\u914d\u3002<\/li>\n
     2. \u4f01\u4e1a\u7ea7\u914d\u7f6e\uff1a\u6295\u8d44\u6700\u65b0\u7684\u5904\u7406\u5668\u4e0eGPU\u67b6\u6784\uff0c\u4ee5\u5b9e\u73b0\u6700\u5927\u541e\u5410\u91cf\u3002\u4e0e\u670d\u52a1\u5668\u79df\u7528\u670d\u52a1\u5546\u5408\u4f5c\uff0c\u83b7\u53d6\u53ef\u6269\u5c55\u7684CPU-GPU\u914d\u6bd4\u65b9\u6848\uff0c\u9002\u5e94\u4e0d\u65ad\u53d8\u5316\u7684\u5de5\u4f5c\u8d1f\u8f7d\u9700\u6c42\u3002<\/li>\n
     3. \u4e91\u73af\u5883\u5f39\u6027\u65b9\u6848\uff1a\u5728\u516c\u6709\u4e91\u4e0a\u4f7f\u7528\u62a2\u5360\u5f0f\u5b9e\u4f8b\uff08spot instances\uff09\uff0c\u4ee5\u66f4\u4f4e\u6210\u672c\u83b7\u53d6\u9ad8\u6027\u80fd\u8d44\u6e90\u3002\u90e8\u7f72\u81ea\u52a8\u6269\u7f29\u5bb9\u7b56\u7565\uff0c\u6839\u636e\u5b9e\u65f6CPU-GPU\u5229\u7528\u7387\u6307\u6807\u8c03\u6574\u670d\u52a1\u5668\u6570\u91cf\u3002<\/li>\n<\/ol>\n

        \u6574\u5408\u4f18\u5316\uff1a\u6784\u5efa\u5168\u65b9\u4f4d\u7684\u4f18\u5316\u4f53\u7cfb<\/strong><\/h2>\n

        \n \u89e3\u51b3CPU-GPU\u6027\u80fd\u4e0d\u5339\u914d\u95ee\u9898\u9700\u91c7\u7528\u591a\u5c42\u7ea7\u7b56\u7565\uff1a<\/p>\n

        \n
        • \u786c\u4ef6\u5c42\u9762\uff1a\u6839\u636e\u5de5\u4f5c\u8d1f\u8f7d\u7684\u8ba1\u7b97\u4e0e\u6570\u636e\u9700\u6c42\u9009\u62e9\u7ec4\u4ef6\uff0c\u4f18\u5148\u8003\u8651PCIe\u5e26\u5bbd\u4e0e\u5185\u5b58\u5c42\u7ea7\u7ed3\u6784\u3002<\/li>\n
        • \u8f6f\u4ef6\u5c42\u9762\uff1a\u4f18\u5316\u9a71\u52a8\u3001\u6846\u67b6\u53ca\u7cfb\u7edf\u8c03\u5ea6\uff0c\u6d88\u9664\u8d44\u6e90\u4f7f\u7528\u4e2d\u7684\u4f4e\u6548\u95ee\u9898\u3002<\/li>\n
        • \u5e94\u7528\u5c42\u9762\uff1a\u91cd\u6784\u7b97\u6cd5\uff0c\u5c06\u4efb\u52a1\u5378\u8f7d\u81f3\u6700\u9002\u914d\u7684\u786c\u4ef6\u2014\u2014\u8ba9GPU\u8d1f\u8d23\u5e76\u884c\u5904\u7406\uff0cCPU\u8d1f\u8d23\u4e32\u884c\u903b\u8f91\u3002<\/li>\n<\/ul>\n

          \u901a\u8fc7\u5bf9\u6bcf\u4e2a\u5c42\u9762\u7684\u4f18\u5316\uff0c\u4f01\u4e1a\u53ef\u5b9e\u73b0\u4efb\u52a1\u5ef6\u8fdf\u964d\u4f4e40%\u3001GPU\u5229\u7528\u7387\u63d0\u534730%\u7684\u6548\u679c\uff0c\u8fd9\u610f\u5473\u7740\u670d\u52a1\u5668\u73af\u5883\u80fd\u663e\u8457\u8282\u7701\u6210\u672c\u5e76\u63d0\u5347\u6027\u80fd\u3002\n <\/p>\n

          \n \u4f18\u5316\u7684\u7b2c\u4e00\u6b65\u662f\u8fd0\u884c\u8bca\u65ad\u5de5\u5177\uff0c\u5b9a\u4f4d\u5177\u4f53\u7684\u6027\u80fd\u74f6\u9888\u3002\u65e0\u8bba\u662f\u5347\u7ea7\u786c\u4ef6\u3001\u5fae\u8c03\u8f6f\u4ef6\uff0c\u8fd8\u662f\u91cd\u6784\u5e94\u7528\u903b\u8f91\uff0c\u6838\u5fc3\u76ee\u6807\u90fd\u662f\u5efa\u7acbCPU\u4e0eGPU\u8d44\u6e90\u95f4\u7684\u534f\u540c\u5173\u7cfb\u3002
          \n \u5728\u9ad8\u6027\u80fd\u8ba1\u7b97\u9886\u57df\u4e0d\u65ad\u53d1\u5c55\u7684\u80cc\u666f\u4e0b\uff0c\u4e3b\u52a8\u4f18\u5316\u80fd\u786e\u4fdd\u670d\u52a1\u5668\u67b6\u6784\u59cb\u7ec8\u4fdd\u6301\u9ad8\u6548\u3001\u53ef\u6269\u5c55\u7684\u72b6\u6001\uff0c\u4ece\u5bb9\u5e94\u5bf9\u672a\u6765\u5de5\u4f5c\u8d1f\u8f7d\u7684\u9700\u6c42\u3002\n <\/p>\n","protected":false},"excerpt":{"rendered":"

          1. \u8bca\u65ad\u6027\u80fd\u5931\u8861\u95ee\u9898\uff1a\u4ece\u4f55\u5165\u624b \u5728\u9ad8\u6027\u80fd\u8ba1\u7b97\u73af\u5883\u4e2d\uff0cCPU\u4e0eGPU\u6027\u80fd\u80fd\u529b\u7684\u4e0d\u5339\u914d\u4f1a\u4e25\u91cd\u5f71\u54cd\u8fd0\u884c\u6548\u7387\u3002 \u4ece\u786c\u4ef6\u5c42\u5206\u6790\u5165\u624b\uff1a\u68c0\u67e5\u6838\u5fc3\u6570\u91cf\u3001\u5185\u5b58\u5e26\u5bbd\u53caPCIe\u7248\u672c\u3002PCIe 3.0 x16\u63a5\u53e3\u7684\u541e\u5410\u91cf\u6700\u9ad8\u53ef\u8fbe16 GB\/s\uff0c\u800cPCIe 4.0\u5219\u80fd\u5c06\u5176\u7ffb\u500d\u81f332 GB\/s\uff0c\u8fd9\u5bf9\u4e8e\u6570\u636e\u5bc6\u96c6\u578b\u5de5\u4f5c\u8d1f\u8f7d\u800c\u8a00\u662f\u5173\u952e\u56e0\u7d20\u3002 \u8f6f\u4ef6\u5c42\u68c0\u67e5\u5305\u62ec\u9a8c\u8bc1\u9a71\u52a8\u517c\u5bb9\u6027\u548c\u7cfb\u7edf\u8d44\u6e90\u5206\u914d\u60c5\u51b5\u3002Linux\u7cfb\u7edf\u4e0b\u7684nvidia-smi\u5de5\u5177\u4e0eWindows\u7cfb\u7edf\u4e0b\u7684\u4efb\u52a1\u7ba1\u7406\u5668\uff08Task Manager\uff09\uff0c\u53ef\u5b9e\u65f6\u53cd\u9988GPU\u5229\u7528\u7387\u53caCPU-GPU\u6570\u636e\u4f20\u8f93\u72b6\u6001\u3002 \u5e94\u7528\u7a0b\u5e8f\u6027\u80fd\u5206\u6790\u81f3\u5173\u91cd\u8981\uff1a\u9700\u660e\u786e\u6027\u80fd\u74f6\u9888\u662f\u5426\u51fa\u73b0\u5728\u8ba1\u7b97\u73af\u8282\uff08\u5982\u77e9\u9635\u8fd0\u7b97\uff09\u6216\u6570\u636eI\/O\u73af\u8282\uff08\u5982\u5b58\u50a8\u63a5\u53e3\u901f\u5ea6\u8fc7\u6162\u5bfc\u81f4GPU\u6570\u636e\u4f9b\u5e94\u4e0d\u8db3\uff09\u3002 2. \u786c\u4ef6\u67b6\u6784\uff1a\u642d\u5efa\u5e73\u8861\u7684\u57fa\u7840\u4f53\u7cfb \u8981\u5b9e\u73b0\u786c\u4ef6\u5c42\u9762\u7684\u6700\u4f18\u5e73\u8861\uff0c\u9700\u5bf9\u7ec4\u4ef6\u8fdb\u884c\u6218\u7565\u6027\u9009\u62e9\uff1a CPU-GPU\u6838\u5fc3\u914d\u6bd4\uff1a\u5355GPU\u914d\u7f6e\u4e0b\uff0c8-16\u4e2a\u7269\u7406CPU\u6838\u5fc3\u662f\u7406\u60f3\u9009\u62e9\u3002\u591aGPU\u914d\u7f6e\u5219\u8981\u6c42CPU\u5177\u5907\u5145\u8db3\u7684PCIe\u901a\u9053\uff0c\u4f8b\u5982\u91c7\u7528\u73b0\u4ee3\u670d\u52a1\u5668\u7ea7\u5904\u7406\u5668\u5373\u53ef\u6ee1\u8db3\u9700\u6c42\u3002 \u5185\u5b58\u5b50\u7cfb\u7edf\u8c03\u4f18\uff1a\u76ee\u6807\u5185\u5b58\u901f\u5ea6\u4e3aDDR4-3200\u53ca\u4ee5\u4e0a\u3002\u7cfb\u7edf\u5185\u5b58\u5206\u914d\u5e94\u8bbe\u5b9a\u4e3aGPU\u663e\u5b58\u76841.5-2\u500d\uff0c\u4ee5\u907f\u514d\u6570\u636e\u4f9b\u5e94\u4e0d\u8db3\u2014\u2014\u4f8b\u5982\uff0c40GB\u663e\u5b58\u7684GPU\u9700\u642d\u914d64GB\u5185\u5b58\u3002 \u63a5\u53e3\u517c\u5bb9\u6027\uff1a\u786e\u4fdd\u4e3b\u677f\u652f\u6301\u6700\u65b0\u7684PCIe\u6807\u51c6\uff0c\u4e14\u591aGPU\u914d\u7f6e\u9700\u652f\u6301NVLink\u6280\u672f\uff0c\u4ee5\u6700\u5927\u9650\u5ea6\u51cf\u5c11\u4e92\u8054\u73af\u8282\u7684\u6027\u80fd\u74f6\u9888\u3002 3. \u8f6f\u4ef6\u4f18\u5316\uff1a\u91ca\u653e\u73b0\u6709\u786c\u4ef6\u7684\u6f5c\u529b \u5373\u4fbf\u786c\u4ef6\u914d\u7f6e\u56fa\u5b9a\uff0c\u901a\u8fc7\u8f6f\u4ef6\u8c03\u6574\u4e5f\u80fd\u663e\u8457\u63d0\u5347\u6027\u80fd\uff1a \u9a71\u52a8\u4e0e\u6846\u67b6\u4f18\u5316\uff1a\u9009\u7528\u4e0eGPU\u67b6\u6784\u517c\u5bb9\u7684\u6700\u65b0CUDA Toolkit\u7248\u672c\u3002\u5bf9\u4e8ePyTorch\u7b49\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\uff0c\u5f02\u6b65\u6570\u636e\u52a0\u8f7d\u5668\u53ef\u5c06GPU\u5229\u7528\u7387\u63d0\u534720%\u4ee5\u4e0a\u3002 \u7cfb\u7edf\u7ea7\u8c03\u5ea6\uff1aLinux\u7cfb\u7edf\u4e0b\uff0c\u53ef\u4f7f\u7528cgroups\u4e3a\u5173\u952e\u8fdb\u7a0b\u9694\u79bbCPU\u8d44\u6e90\uff1bWindows\u7528\u6237\u5219\u53ef\u8c03\u6574\u6838\u5fc3\u4eb2\u548c\u6027\uff0c\u5e76\u4fee\u6539TdrLevel\u6ce8\u518c\u8868\u9879\uff0c\u4ee5\u907f\u514dGPU\u8d85\u65f6\u95ee\u9898\u3002 \u4ee3\u7801\u7ea7\u4f18\u5316\uff1a\u5229\u7528\u96f6\u62f7\u8d1d\u6280\u672f\uff08CUDA Zero Copy\uff09\u51cf\u5c11CPU-GPU\u6570\u636e\u4f20\u8f93\u91cf\u3002\u5408\u7406\u62c6\u5206\u4efb\u52a1\uff0c\u8ba9CPU\u8d1f\u8d23\u6570\u636e\u9884\u5904\u7406\uff0cGPU\u4e13\u6ce8\u4e8e\u5e76\u884c\u8ba1\u7b97\uff0c\u5982\u4e0b\u8ff0\u4f2a\u4ee3\u7801\u793a\u4f8b\u6240\u793a\uff1a \/\/ CPU\u7ebf\u7a0b\u7528\u4e8e\u6570\u636e\u9884\u5904\u7406 while data_available(): preprocess_data() \/\/ \u9884\u5904\u7406\u6570\u636e enqueue_to_gpu_buffer() \/\/ \u52a0\u5165GPU\u7f13\u51b2\u533a\u961f\u5217 \/\/ GPU\u6838\u51fd\u6570\u7528\u4e8e\u5e76\u884c\u8ba1\u7b97 __global__ void compute_kernel(buffer data): \/\/ \u5e76\u884c\u5904\u7406\u903b\u8f91 4. \u7cfb\u7edf\u7ea7\u76d1\u63a7\u4e0e\u52a8\u6001\u8d44\u6e90\u5206\u914d \u6301\u7eed\u76d1\u63a7\u4e0e\u81ea\u9002\u5e94\u8c03\u5ea6\u662f\u7ef4\u6301\u6027\u80fd\u5e73\u8861\u7684\u5173\u952e\uff1a \u5b9e\u65f6\u76d1\u63a7\u5de5\u5177\uff1a\u7ed3\u5408nvidia-smi\u3001dmon\u4e0ecupti\uff0c\u8ffd\u8e2aGPU\u5229\u7528\u7387\u3001\u5185\u5b58\u62f7\u8d1d\u901f\u5ea6\u53caCPU\u7a7a\u95f2\u65f6\u95f4\u3002\u5bf9\u4e8e\u5206\u5e03\u5f0f\u7cfb\u7edf\uff0c\u53ef\u642d\u5efaPrometheus-Grafana\u67b6\u6784\uff0c\u5e76\u914d\u7f6e\u81ea\u5b9a\u4e49\u670d\u52a1\u5668\u76d1\u63a7\u4eea\u8868\u76d8\u3002 \u52a8\u6001\u8d1f\u8f7d\u5747\u8861\uff1a\u90e8\u7f72\u57fa\u4e8e\u5b9e\u65f6\u6307\u6807\u8c03\u6574\u4efb\u52a1\u5206\u914d\u7684\u7b97\u6cd5\u3002\u57fa\u4e8e\u673a\u5668\u5b66\u4e60\u7684\u8c03\u5ea6\u5668\u53ef\u9884\u6d4b\u8d44\u6e90\u9700\u6c42\uff0c\u5e76\u4f18\u5316\u6df7\u5408CPU-GPU\u5de5\u4f5c\u8d1f\u8f7d\u7684\u4efb\u52a1\u6392\u961f\u673a\u5236\u3002 \u56fa\u4ef6\u66f4\u65b0\uff1a\u5728BIOS\u4e2d\u542f\u7528\u53ef\u8c03\u6574\u5927\u5c0f\u7684\u57fa\u5740\u5bc4\u5b58\u5668\uff08Resizable BAR\uff09\uff0c\u63d0\u5347GPU\u5bf9\u7cfb\u7edf\u5185\u5b58\u7684\u8bbf\u95ee\u6548\u7387\uff0c\u6027\u80fd\u6709\u671b\u63d0\u534710%-15%\u3002\u540c\u65f6\u5b9a\u671f\u66f4\u65b0BMC\u56fa\u4ef6\uff0c\u4ee5\u5b9e\u73b0\u66f4\u5148\u8fdb\u7684\u786c\u4ef6\u5065\u5eb7\u76d1\u63a7\u3002 5. \u5e94\u7528\u7ea7\u9002\u914d\uff1a\u8ba9\u5de5\u4f5c\u8d1f\u8f7d\u5339\u914d\u786c\u4ef6\u80fd\u529b \u8c03\u6574\u7b97\u6cd5\u4ee5\u5145\u5206\u53d1\u6325CPU\u4e0eGPU\u7684\u4f18\u52bf\uff1a […]<\/p>\n

          Read More…<\/a><\/p>\n","protected":false},"author":2,"featured_media":27216,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[4816],"tags":[8822,8820,8823,8821,8749],"class_list":["post-27219","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-america-dedicated-server-sc","tag-gpu-utilization-tips-sc","tag-cpu-gpu-optimization-sc","tag-cpu-gpu-balance-strategies-sc","tag-hardware-mismatch-solutions-sc","tag-server-performance-tuning-sc-2"],"acf":[],"yoast_head":"\n