\u6bd4\u8f83GPU\u548cCPU\u6e32\u67d3\u65f6\uff0c\u5176\u67b6\u6784\u5dee\u5f02\u663e\u8457\u3002\u9ad8\u7aefCPU\u53ef\u80fd\u5305\u542b64\u4e2a\u6838\u5fc3\uff0c\u800c\u914d\u5907NVIDIA A100\u7684\u73b0\u4ee3GPU\u670d\u52a1\u5668\u53ef\u4ee5\u5229\u75286912\u4e2aCUDA\u6838\u5fc3\u3002\u8fd9\u79cd\u5927\u89c4\u6a21\u5e76\u884c\u5904\u7406\u80fd\u529b\u5728\u6e32\u67d3\u5de5\u4f5c\u8d1f\u8f7d\u4e2d\u8f6c\u5316\u4e3a\u6307\u6570\u7ea7\u7684\u6027\u80fd\u63d0\u5347\u3002<\/p>\n

\u8ba9\u6211\u4eec\u901a\u8fc7\u4e00\u4e2a\u5b9e\u9645\u793a\u4f8b\u6765\u5206\u6790\u6027\u80fd\u6307\u6807\uff1a<\/p>\n

\r\n\/\/ \u7528\u4e8e\u5e76\u884c\u6e32\u67d3\u7684CUDA\u5185\u6838\u793a\u4f8b\r\n__global__ void renderPixel(float* output, int width, int height) {\r\n    int idx = blockIdx.x * blockDim.x + threadIdx.x;\r\n    int idy = blockIdx.y * blockDim.y + threadIdx.y;\r\n    \r\n    if (idx < width && idy < height) {\r\n        int pid = idy * width + idx;\r\n        \/\/ \u6b64\u5904\u8fdb\u884c\u6e32\u67d3\u8ba1\u7b97\r\n        output[pid] = computePixelColor(idx, idy);\r\n    }\r\n}\r\n<\/code><\/pre>\n
\u91cf\u5316\u65f6\u95f4\u8282\u7701\u5206\u6790<\/strong><\/h2>\n
\u6211\u4eec\u7684\u57fa\u51c6\u6d4b\u8bd5\u663e\u793a\u4e86\u4e0d\u540c\u9879\u76ee\u89c4\u6a21\u7684\u6e32\u67d3\u65f6\u95f4\u5b58\u5728\u663e\u8457\u5dee\u5f02\uff1a<\/p>\n\n\n\n\n\n\n
\u9879\u76ee\u89c4\u6a21<\/th>\n
CPU\u65f6\u95f4<\/th>\n
GPU\u65f6\u95f4<\/th>\n
\u8282\u7701\u65f6\u95f4<\/th>\n<\/tr>\n
\u5c0f\u578b\uff081080p\u5e27\uff09<\/td>\n
15\u5206\u949f<\/td>\n
2\u5206\u949f<\/td>\n
87%<\/td>\n<\/tr>\n
\u4e2d\u578b\uff084K\u52a8\u753b\uff09<\/td>\n
8\u5c0f\u65f6<\/td>\n
1.2\u5c0f\u65f6<\/td>\n
85%<\/td>\n<\/tr>\n
\u5927\u578b\uff08VR\u73af\u5883\uff09<\/td>\n
48\u5c0f\u65f6<\/td>\n
7.5\u5c0f\u65f6<\/td>\n
84%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\u6210\u672c\u6548\u76ca\u5206\u6790<\/strong><\/h2>\n
\u6bd4\u8f83\u672c\u5730\u5de5\u4f5c\u7ad9\u548c\u9999\u6e2fGPU\u670d\u52a1\u5668\u7684\u8fd0\u8425\u6210\u672c\u65f6\uff0c\u901a\u8fc7\u6027\u80fd\u6210\u672c\u6bd4\u53ef\u4ee5\u6e05\u695a\u5730\u770b\u5230\u8d22\u52a1\u4f18\u52bf\uff1a<\/p>\n\n\n\n\n\n
\u8d44\u6e90\u7c7b\u578b<\/th>\n
\u6027\u80fd\u8bc4\u7ea7<\/th>\n
\u8d44\u6e90\u5229\u7528\u7387<\/th>\n
\u6269\u5c55\u7075\u6d3b\u6027<\/th>\n<\/tr>\n
\u672c\u5730\u5de5\u4f5c\u7ad9<\/td>\n
1x<\/td>\n
\u53d7\u786c\u4ef6\u9650\u5236<\/td>\n
\u56fa\u5b9a\u5bb9\u91cf<\/td>\n<\/tr>\n
\u9999\u6e2fGPU\u670d\u52a1\u5668<\/td>\n
6x<\/td>\n
\u6309\u9700\u6269\u5c55<\/td>\n
\u52a8\u6001\u5206\u914d<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\u9762\u5411\u672a\u6765\u7684\u6e32\u67d3\u6d41\u7a0b<\/strong><\/h2>\n
GPU\u67b6\u6784\u7684\u53d1\u5c55\u6301\u7eed\u91cd\u5851\u6e32\u67d3\u80fd\u529b\u3002\u9999\u6e2f\u7684GPU\u670d\u52a1\u5668\u79df\u7528\u57fa\u7840\u8bbe\u65bd\u4e0d\u65ad\u66f4\u65b0\u6700\u65b0\u7684NVIDIA\u6570\u636e\u4e2d\u5fc3GPU\uff0c\u652f\u6301\u65b0\u5174\u6280\u672f\u5982\uff1a<\/p>\n
\n
\u5149\u7ebf\u8ffd\u8e2a\u52a0\u901f<\/li>\n
AI\u8f85\u52a9\u964d\u566a<\/li>\n
\u591aGPU\u96c6\u7fa4<\/li>\n
\u6df7\u5408\u6e32\u67d3\u6d41\u7a0b<\/li>\n<\/ul>\n
\u5b9e\u65bd\u6307\u5357<\/strong><\/h2>\n
\u4e3a\u5b9e\u73b0\u6700\u4f73\u5de5\u4f5c\u6d41\u7a0b\u96c6\u6210\uff0c\u8bf7\u8003\u8651\u4ee5\u4e0b\u6280\u672f\u8bbe\u7f6e\u6e05\u5355\uff1a<\/p>\n
\u6e32\u67d3\u6d41\u7a0b\u914d\u7f6e<\/strong><\/p>\n
1. \u7f51\u7edc\u4f18\u5316<\/strong><\/p>\n
– \u914d\u7f6eUDP\u534f\u8bae\u7684VPN<\/p>\n
– \u5c06MTU\u5927\u5c0f\u8bbe\u7f6e\u4e3a1500<\/p>\n
– \u542f\u7528TCP BBR\u62e5\u585e\u63a7\u5236<\/p>\n
2. \u8d44\u6e90\u5206\u914d<\/strong><\/p>\n
– \u76d1\u63a7GPU\u5185\u5b58\u4f7f\u7528<\/p>\n
– \u5b9e\u73b0\u52a8\u6001\u6279\u91cf\u5904\u7406<\/p>\n
– \u542f\u7528\u81ea\u52a8\u68c0\u67e5\u70b9<\/p>\n
3. \u6d41\u7a0b\u96c6\u6210<\/strong><\/p>\n
– \u8bbe\u7f6e\u6e32\u67d3\u519c\u573a\u7ba1\u7406\u5668<\/p>\n
– \u914d\u7f6e\u8d1f\u8f7d\u5747\u8861<\/p>\n
– \u5b9e\u73b0\u6545\u969c\u6062\u590d<\/p>\n
\u7ed3\u8bba\u548c\u6280\u672f\u5efa\u8bae<\/strong><\/h2>\n
\u9999\u6e2fGPU\u670d\u52a1\u5668\u5728\u6e32\u67d3\u6548\u7387\u65b9\u9762\u5b9e\u73b0\u4e86\u91cd\u5927\u7a81\u7834\uff0c\u4e3a\u590d\u6742\u76843D\u9879\u76ee\u63d0\u4f9b\u9ad8\u8fbe85%\u7684\u65f6\u95f4\u8282\u7701\u3002\u5730\u7406\u4f18\u52bf\u3001\u5148\u8fdb\u57fa\u7840\u8bbe\u65bd\u548c\u53ef\u6269\u5c55\u7684GPU\u8d44\u6e90\u7684\u7ed3\u5408\u4f7f\u5176\u6210\u4e3a\u4e13\u4e1a\u6e32\u67d3\u5de5\u4f5c\u6d41\u7a0b\u7684\u6700\u4f73\u9009\u62e9\u3002<\/p>\n
\u5bf9\u4e8e\u5e0c\u671b\u4f18\u5316\u6e32\u67d3\u6d41\u7a0b\u7684\u6280\u672f\u4e13\u4e1a\u4eba\u58eb\u6765\u8bf4\uff0c\u9999\u6e2f\u7684GPU\u4e91\u6e32\u67d3\u89e3\u51b3\u65b9\u6848\u5728\u6027\u80fd\u3001\u53ef\u9760\u6027\u548c\u53ef\u6269\u5c55\u6027\u65b9\u9762\u63d0\u4f9b\u4e86\u5b8c\u7f8e\u7684\u5e73\u8861\u30023D\u6e32\u67d3\u7684\u672a\u6765\u5728\u4e8e\u6709\u6548\u5229\u7528\u8fd9\u4e9b\u5206\u5e03\u5f0fGPU\u8d44\u6e90\u3002<\/p>\n
[\/vc_column_text][\/vc_column][\/vc_row]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"
[vc_row][vc_column][vc_column_text css=””] \u5728\u8981\u6c42\u4e25\u683c\u76843D\u6e32\u67d3\u9886\u57df\uff0c\u65f6\u95f4\u5c31\u662f\u91d1\u94b1\u3002\u9999\u6e2fGPU\u670d\u52a1\u5668\u5df2\u6210\u4e3a\u6280\u672f\u4e13\u4e1a\u4eba\u58eb\u4f18\u5316\u6e32\u67d3\u6d41\u7a0b\u7684\u9769\u547d\u6027\u9009\u62e9\u3002\u672c\u6587\u6df1\u5165\u63a2\u8ba8GPU\u4e91\u6e32\u67d3\u5982\u4f55\u5728\u4fdd\u6301\u6210\u672c\u6548\u76ca\u7684\u540c\u65f6\u5927\u5e45\u7f29\u77ed\u6e32\u67d3\u65f6\u95f4\u3002 GPU\u6e32\u67d3\u7684\u6280\u672f\u4f18\u52bf \u6bd4\u8f83GPU\u548cCPU\u6e32\u67d3\u65f6\uff0c\u5176\u67b6\u6784\u5dee\u5f02\u663e\u8457\u3002\u9ad8\u7aefCPU\u53ef\u80fd\u5305\u542b64\u4e2a\u6838\u5fc3\uff0c\u800c\u914d\u5907NVIDIA A100\u7684\u73b0\u4ee3GPU\u670d\u52a1\u5668\u53ef\u4ee5\u5229\u75286912\u4e2aCUDA\u6838\u5fc3\u3002\u8fd9\u79cd\u5927\u89c4\u6a21\u5e76\u884c\u5904\u7406\u80fd\u529b\u5728\u6e32\u67d3\u5de5\u4f5c\u8d1f\u8f7d\u4e2d\u8f6c\u5316\u4e3a\u6307\u6570\u7ea7\u7684\u6027\u80fd\u63d0\u5347\u3002 \u8ba9\u6211\u4eec\u901a\u8fc7\u4e00\u4e2a\u5b9e\u9645\u793a\u4f8b\u6765\u5206\u6790\u6027\u80fd\u6307\u6807\uff1a \/\/ \u7528\u4e8e\u5e76\u884c\u6e32\u67d3\u7684CUDA\u5185\u6838\u793a\u4f8b __global__ void renderPixel(float* output, int width, int height) { int idx = blockIdx.x * blockDim.x + threadIdx.x; int idy = blockIdx.y * blockDim.y + threadIdx.y; if (idx < width && idy < height) { int pid = idy * width + idx; \/\/ \u6b64\u5904\u8fdb\u884c\u6e32\u67d3\u8ba1\u7b97 output[pid] = […]<\/p>\n
Read More…<\/a><\/p>\n","protected":false},"author":2,"featured_media":22207,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[62],"tags":[6438,6439,6238,5667,4281],"class_list":["post-22211","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-hong-kong-dedicated-server-sc","tag-gpu-cloud-rendering-sc","tag-3d-rendering-time-sc","tag-rendering-optimization-sc","tag-gpu-server-hong-kong-sc","tag-gpu-hosting-sc"],"acf":[],"yoast_head":"\n