{"id":18070,"date":"2024-03-21T08:00:35","date_gmt":"2024-03-21T00:00:35","guid":{"rendered":"https:\/\/www.varidata.com\/uncategorized-zh-cn\/asic-vs-gpu-deep-dive-into-computing-architecture\/"},"modified":"2025-03-07T12:03:31","modified_gmt":"2025-03-07T04:03:31","slug":"asic-vs-gpu-deep-dive-into-computing-architecture","status":"publish","type":"post","link":"https:\/\/www.varidata.com\/zh-cn\/knowledge\/asic-vs-gpu-deep-dive-into-computing-architecture\/","title":{"rendered":"ASIC\u4e0eGPU:\u6df1\u5165\u63a2\u8ba8\u8ba1\u7b97\u67b6\u6784"},"content":{"rendered":"<p>\u5728\u4e13\u7528\u8ba1\u7b97\u67b6\u6784\u9886\u57df,\u4e13\u7528\u96c6\u6210\u7535\u8def(ASIC)\u548c\u56fe\u5f62\u5904\u7406\u5355\u5143(GPU)\u4ee3\u8868\u4e86\u89e3\u51b3\u590d\u6742\u8ba1\u7b97\u6311\u6218\u7684\u4e24\u79cd\u4e0d\u540c\u65b9\u6cd5\u3002\u5bf9\u4e8e\u914d\u7f6e\u9ad8\u6027\u80fd\u8ba1\u7b97\u7cfb\u7edf\u548c<a href=\"https:\/\/www.varidata.com\/zh-cn\/server\/hk\/cn2\/\" target=\"_blank\">\u670d\u52a1\u5668\u79df\u7528<\/a>\u7684\u6280\u672f\u4e13\u4e1a\u4eba\u5458\u6765\u8bf4,\u7406\u89e3ASIC\u548cGPU\u67b6\u6784\u4e4b\u95f4\u7684\u6839\u672c\u5dee\u5f02\u81f3\u5173\u91cd\u8981\u3002<\/p>\n<h2><strong>\u7406\u89e3ASIC\u67b6\u6784<\/strong><\/h2>\n<p>ASIC\u662f\u4e3a\u7279\u5b9a\u8ba1\u7b97\u4efb\u52a1\u7cbe\u5fc3\u8bbe\u8ba1\u7684\u96c6\u6210\u7535\u8def\u3002\u4e0e\u901a\u7528\u5904\u7406\u5668\u4e0d\u540c,ASIC\u901a\u8fc7\u4e13\u7528\u7535\u8def\u5b9e\u73b0\u9884\u5b9a\u529f\u80fd,\u901a\u8fc7\u4e13\u95e8\u7684\u7535\u8def\u5b9e\u73b0\u663e\u8457\u7684\u6548\u7387\u3002<\/p>\n<p>ASIC\u7684\u6838\u5fc3\u67b6\u6784\u901a\u5e38\u5305\u62ec:<\/p>\n<ul>\n<li>\u4e3a\u7279\u5b9a\u7b97\u6cd5\u8bbe\u8ba1\u7684\u5b9a\u5236\u903b\u8f91\u5757<\/li>\n<li>\u9488\u5bf9\u9884\u5b9a\u64cd\u4f5c\u4f18\u5316\u7684\u6570\u636e\u8def\u5f84<\/li>\n<li>\u786c\u8fde\u63a5\u63a7\u5236\u903b\u8f91<\/li>\n<li>\u6700\u5c0f\u5316\u5f00\u9500\u7535\u8def<\/li>\n<\/ul>\n<h2><strong>GPU\u67b6\u6784\u6982\u8ff0<\/strong><\/h2>\n<p>GPU\u4f7f\u7528\u9488\u5bf9\u6d6e\u70b9\u8fd0\u7b97\u548c\u77e9\u9635\u8ba1\u7b97\u4f18\u5316\u7684\u5927\u89c4\u6a21\u5e76\u884c\u67b6\u6784\u3002\u73b0\u4ee3GPU\u67b6\u6784\u5305\u542b:<\/p>\n<ul>\n<li>\u591a\u4e2a\u6d41\u5f0f\u591a\u5904\u7406\u5668(SM)<\/li>\n<li>\u6570\u5343\u4e2aCUDA\u6838\u5fc3\u6216\u6d41\u5904\u7406\u5668<\/li>\n<li>\u4e13\u7528\u5185\u5b58\u5c42\u6b21\u7ed3\u6784<\/li>\n<li>\u4e13\u95e8\u7684\u6e32\u67d3\u8f93\u51fa\u5355\u5143<\/li>\n<\/ul>\n<h2><strong>\u6280\u672f\u6027\u80fd\u5bf9\u6bd4<\/strong><\/h2>\n<p>\u8ba9\u6211\u4eec\u901a\u8fc7\u5b9e\u9645\u793a\u4f8b\u6765\u7814\u7a76\u6027\u80fd\u6307\u6807\u3002\u8003\u8651\u4e00\u4e2a\u5e38\u89c1\u4efb\u52a1:\u77e9\u9635\u4e58\u6cd5\u5728\u4e24\u79cd\u67b6\u6784\u4e0a\u7684\u4e0d\u540c\u5b9e\u73b0\u3002<\/p>\n<p>\u5bf9\u4e8eGPU,\u5178\u578b\u7684CUDA\u5b9e\u73b0\u53ef\u80fd\u5982\u4e0b\u6240\u793a:<\/p>\n<pre><code>__global__ void matrixMul(float *A, float *B, float *C, int N) {\r\n    int row = blockIdx.y * blockDim.y + threadIdx.y;\r\n    int col = blockIdx.x * blockDim.x + threadIdx.x;\r\n    float sum = 0.0f;\r\n    \r\n    if (row < N &#038;&#038; col < N) {\r\n        for (int i = 0; i < N; i++) {\r\n            sum += A[row * N + i] * B[i * N + col];\r\n        }\r\n        C[row * N + col] = sum;\r\n    }\r\n}<\/code><\/pre>\n<p>\u76f8\u6bd4\u4e4b\u4e0b,ASIC\u5b9e\u73b0\u5229\u7528\u4e13\u7528\u786c\u4ef6\u77e9\u9635,\u901a\u8fc7\u7269\u7406\u7535\u8def\u5b9e\u73b0\u76f8\u540c\u7684\u8ba1\u7b97,\u7ed3\u679c\u662f:<\/p>\n<ul>\n<li>\u80fd\u6548:\u6bd4GPU\u597d10-50\u500d<\/li>\n<li>\u5ef6\u8fdf:\u7eb3\u79d2\u7ea7\u54cd\u5e94<\/li>\n<li>\u541e\u5410\u91cf:\u7531\u786c\u4ef6\u8bbe\u8ba1\u51b3\u5b9a<\/li>\n<\/ul>\n<h2><strong>\u7279\u5b9a\u67b6\u6784\u7684\u4f7f\u7528\u573a\u666f<\/strong><\/h2>\n<p>ASIC\u5e94\u7528:<\/p>\n<ul>\n<li>\u7f51\u7edc\u6570\u636e\u5305\u5904\u7406(\u5b9e\u73b0\u4e9a\u5fae\u79d2\u7ea7\u5ef6\u8fdf)<\/li>\n<li>\u5b9e\u65f6\u4fe1\u53f7\u5904\u7406<\/li>\n<li>\u786c\u4ef6\u5b89\u5168\u6a21\u5757<\/li>\n<li>\u9ad8\u9891\u4ea4\u6613\u7cfb\u7edf<\/li>\n<\/ul>\n<p>GPU\u6700\u4f73\u573a\u666f:<\/p>\n<ul>\n<li>\u6df1\u5ea6\u5b66\u4e60\u63a8\u7406\u5f15\u64ce<\/li>\n<li>\u79d1\u5b66\u6a21\u62df<\/li>\n<li>\u5b9e\u65f6\u56fe\u5f62\u6e32\u67d3<\/li>\n<li>\u5e76\u884c\u6570\u636e\u5904\u7406<\/li>\n<\/ul>\n<h2><strong>\u6027\u80fd\u6307\u6807\u548c\u57fa\u51c6\u6d4b\u8bd5<\/strong><\/h2>\n<p>\u5b9a\u91cf\u5206\u6790\u63ed\u793a\u4e86\u4e0d\u540c\u7684\u6027\u80fd\u7279\u5f81:<\/p>\n<pre><code>\u6027\u80fd\u6307\u6807          | ASIC              | GPU\r\n--------------------+-------------------+------------------\r\n\u80fd\u6e90\u6548\u7387           | 0.1-0.3 W\/TOPS   | 5-10 W\/TOPS\r\n\u5ef6\u8fdf               | 1-10 ns          | 100-1000 ns\r\n\u7075\u6d3b\u6027             | \u56fa\u5b9a\u529f\u80fd          | \u53ef\u7f16\u7a0b\r\n\u5f00\u53d1\u6210\u672c           | 100-500\u4e07\u7f8e\u5143     | \u57fa\u4e8eSDK\r\n\u4e0a\u5e02\u65f6\u95f4           | 6-12\u4e2a\u6708         | \u5373\u65f6<\/code><\/pre>\n<p>\u8fd9\u4e9b\u6307\u6807\u5c55\u793a\u4e86\u4e3a\u4ec0\u4e48ASIC\u5728\u7279\u5b9a\u5e94\u7528\u4e2d\u8868\u73b0\u51fa\u8272,\u800cGPU\u4fdd\u6301\u7740\u591a\u529f\u80fd\u6027\u4f18\u52bf\u3002<\/p>\n<h2><strong>\u786c\u4ef6\u96c6\u6210\u6ce8\u610f\u4e8b\u9879<\/strong><\/h2>\n<p>\u7cfb\u7edf\u67b6\u6784\u5e08\u5728\u5c06\u8fd9\u4e9b\u5904\u7406\u5355\u5143\u96c6\u6210\u5230\u670d\u52a1\u5668\u57fa\u7840\u8bbe\u65bd\u65f6\u5fc5\u987b\u8bc4\u4f30\u51e0\u4e2a\u5173\u952e\u56e0\u7d20:<\/p>\n<pre><code>\u7cfb\u7edf\u7ec4\u4ef6          | ASIC\u8981\u6c42            | GPU\u8981\u6c42\r\n-------------------+----------------------+-------------------\r\n\u4f9b\u7535               | \u7a33\u5b9a,\u7279\u5b9a\u7535\u538b        | \u9ad8\u74e6\u6570\u7535\u6e90\r\n\u6563\u70ed\u65b9\u6848           | \u88ab\u52a8\u6563\u70ed\u5373\u53ef         | \u4e3b\u52a8\u6563\u70ed\r\nPCIe\u901a\u9053           | \u53d6\u51b3\u4e8e\u5e94\u7528           | x16 Gen4\/Gen5\r\n\u5185\u5b58\u63a5\u53e3           | \u5b9a\u5236\/\u76f4\u63a5            | GDDR6\/HBM2<\/code><\/pre>\n<h2><strong>\u4f18\u5316\u6280\u672f<\/strong><\/h2>\n<p>\u4e3a\u83b7\u5f97\u6700\u5927\u6027\u80fd,\u6bcf\u79cd\u67b6\u6784\u90fd\u9700\u8981\u7279\u5b9a\u7684\u4f18\u5316\u65b9\u6cd5\u3002GPU\u4f18\u5316\u901a\u5e38\u6d89\u53ca\u5185\u5b58\u5408\u5e76\u548c\u7ebf\u7a0b\u7ec4\u7ec7:<\/p>\n<pre><code>\/\/ GPU\u5185\u5b58\u8bbf\u95ee\u6a21\u5f0f\u4f18\u5316\r\n__global__ void optimizedKernel(float* data, int N) {\r\n    __shared__ float sharedMem[BLOCK_SIZE];\r\n    int tid = threadIdx.x + blockIdx.x * blockDim.x;\r\n    \r\n    \/\/ \u5408\u5e76\u5185\u5b58\u8bbf\u95ee\r\n    if (tid < N) {\r\n        sharedMem[threadIdx.x] = data[tid];\r\n    }\r\n    __syncthreads();\r\n    \r\n    \/\/ \u5904\u7406\u6570\u636e\r\n    if (tid < N) {\r\n        data[tid] = computeFunction(sharedMem[threadIdx.x]);\r\n    }\r\n}<\/code><\/pre>\n<p>\u76f8\u53cd,ASIC\u4f18\u5316\u4e3b\u8981\u5173\u6ce8\u786c\u4ef6\u7ea7\u6d41\u6c34\u7ebf\u8bbe\u8ba1\u548c\u8d44\u6e90\u5229\u7528:<\/p>\n<ul>\n<li>\u65f6\u949f\u57df\u4f18\u5316<\/li>\n<li>\u6d41\u6c34\u7ebf\u9636\u6bb5\u5e73\u8861<\/li>\n<li>\u5173\u952e\u8def\u5f84\u5206\u6790<\/li>\n<li>\u7535\u6e90\u95e8\u63a7\u7b56\u7565<\/li>\n<\/ul>\n<h2><strong>\u6210\u672c\u6548\u76ca\u5206\u6790<\/strong><\/h2>\n<p>\u5728\u8bc4\u4f30\u670d\u52a1\u5668\u90e8\u7f72\u7684\u5904\u7406\u89e3\u51b3\u65b9\u6848\u65f6,\u8bf7\u8003\u8651\u4ee5\u4e0b\u56e0\u7d20:<\/p>\n<ul>\n<li>\u5f00\u53d1\u6210\u672c:\n<ul>\n<li>ASIC:\u524d\u671f\u6295\u8d44\u9ad8,\u89c4\u6a21\u5316\u540e\u5355\u4f4d\u6210\u672c\u8f83\u4f4e<\/li>\n<li>GPU:\u8fdb\u5165\u95e8\u69db\u4f4e,\u5355\u4f4d\u4ef7\u683c\u7a33\u5b9a<\/li>\n<\/ul>\n<\/li>\n<li>\u8fd0\u8425\u6210\u672c:\n<ul>\n<li>\u529f\u8017\u4f18\u5316<\/li>\n<li>\u6563\u70ed\u57fa\u7840\u8bbe\u65bd\u8981\u6c42<\/li>\n<li>\u7ef4\u62a4\u8003\u8651<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h2><strong>\u5b9e\u65bd\u6700\u4f73\u5b9e\u8df5<\/strong><\/h2>\n<p>\u5728\u8bbe\u8ba1\u9ad8\u6027\u80fd\u8ba1\u7b97\u89e3\u51b3\u65b9\u6848\u65f6,\u8bf7\u8003\u8651\u8fd9\u4e9b\u6280\u672f\u5b9e\u73b0\u6a21\u5f0f:<\/p>\n<pre><code>\u67b6\u6784          | \u8bbe\u8ba1\u6a21\u5f0f              | \u4f7f\u7528\u573a\u666f\r\n-------------+-----------------------+------------------\r\nASIC         | \u6d41\u6c34\u7ebf\u5e76\u884c            | \u6d41\u5904\u7406\r\nASIC         | \u8109\u52a8\u9635\u5217              | \u77e9\u9635\u8fd0\u7b97\r\nGPU          | SIMD\u5e76\u884c\u5316            | \u6279\u5904\u7406\r\nGPU          | \u5185\u5b58\u5c42\u6b21\u7ed3\u6784          | \u6570\u636e\u5bc6\u96c6\u578b<\/code><\/pre>\n<h2><strong>\u672a\u6765\u6280\u672f\u8d8b\u52bf<\/strong><\/h2>\n<p>\u4e24\u79cd\u67b6\u6784\u7684\u65b0\u5174\u53d1\u5c55\u90fd\u6307\u5411\u51e0\u4e2a\u5173\u952e\u8d8b\u52bf:<\/p>\n<ul>\n<li>\u6df7\u5408\u8ba1\u7b97\u89e3\u51b3\u65b9\u6848:\n<ul>\n<li>ASIC-GPU\u534f\u4f5c\u6846\u67b6<\/li>\n<li>\u52a8\u6001\u5de5\u4f5c\u8d1f\u8f7d\u5206\u914d<\/li>\n<li>\u667a\u80fd\u7535\u6e90\u7ba1\u7406<\/li>\n<\/ul>\n<\/li>\n<li>\u5148\u8fdb\u5236\u9020\u5de5\u827a:\n<ul>\n<li>3\u7eb3\u7c73\u5de5\u827a\u91c7\u7528<\/li>\n<li>\u82af\u7247\u7ec4\u67b6\u6784\u96c6\u6210<\/li>\n<li>3D\u5c01\u88c5\u6280\u672f<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h2><strong>\u6280\u672f\u5efa\u8bae<\/strong><\/h2>\n<p>\u57fa\u4e8e\u67b6\u6784\u5206\u6790,\u4ee5\u4e0b\u662f\u9488\u5bf9\u4e0d\u540c\u8ba1\u7b97\u573a\u666f\u7684\u5177\u4f53\u5efa\u8bae:<\/p>\n<pre><code>\u5de5\u4f5c\u8d1f\u8f7d\u7c7b\u578b       | \u63a8\u8350\u67b6\u6784              | \u539f\u56e0\r\n--------------------+------------------------+----------------\r\n\u5b9e\u65f6\u5904\u7406           | ASIC                   | \u786e\u5b9a\u6027\u5ef6\u8fdf\r\n\u7075\u6d3b\u8ba1\u7b97           | GPU                    | \u7f16\u7a0b\u9002\u5e94\u6027\r\n\u6df7\u5408\u5de5\u4f5c\u8d1f\u8f7d       | \u6df7\u5408\u89e3\u51b3\u65b9\u6848           | \u6700\u4f18\u8d44\u6e90\u5229\u7528\r\n\u7814\u53d1               | GPU                    | \u5feb\u901f\u539f\u578b\u8bbe\u8ba1<\/code><\/pre>\n<h2><strong>\u7ed3\u8bba<\/strong><\/h2>\n<p>ASIC\u548cGPU\u67b6\u6784\u7684\u9009\u62e9\u6839\u672c\u4e0a\u53d6\u51b3\u4e8e\u5177\u4f53\u7684\u8ba1\u7b97\u9700\u6c42\u3001\u5f00\u53d1\u8d44\u6e90\u548c\u6027\u80fd\u7ea6\u675f\u3002\u867d\u7136ASIC\u5728\u5177\u6709\u56fa\u5b9a\u529f\u80fd\u7684\u4e13\u7528\u9ad8\u6027\u80fd\u5e94\u7528\u4e2d\u8868\u73b0\u51fa\u8272,\u4f46GPU\u5728\u591a\u6837\u5316\u8ba1\u7b97\u4efb\u52a1\u4e2d\u63d0\u4f9b\u65e0\u4e0e\u4f26\u6bd4\u7684\u7075\u6d3b\u6027\u3002\u7406\u89e3\u8fd9\u4e9b\u67b6\u6784\u5dee\u5f02\u53ef\u4ee5\u4e3a\u670d\u52a1\u5668\u90e8\u7f72\u548c\u8ba1\u7b97\u57fa\u7840\u8bbe\u65bd\u5b9e\u73b0\u6700\u4f73\u786c\u4ef6\u9009\u62e9\u3002<\/p>\n<p>\u5bf9\u4e8e\u8003\u8651\u670d\u52a1\u5668\u57fa\u7840\u8bbe\u65bd\u4f18\u5316\u7684\u7528\u6237,\u7279\u522b\u662f\u5728\u9999\u6e2f\u6570\u636e\u4e2d\u5fc3\u4e2d,ASIC\u548cGPU\u96c6\u6210\u7684\u51b3\u7b56\u5e94\u8be5\u4e0e\u5177\u4f53\u7684\u5de5\u4f5c\u8d1f\u8f7d\u7279\u5f81\u548c\u6027\u80fd\u9700\u6c42\u4fdd\u6301\u4e00\u81f4\u3002\u8fd9\u79cd\u82af\u7247\u67b6\u6784\u5dee\u5f02\u7684\u6280\u672f\u5206\u6790\u4e3a\u5728\u73b0\u4ee3\u8ba1\u7b97\u73af\u5883\u4e2d\u505a\u51fa\u660e\u667a\u7684\u786c\u4ef6\u52a0\u901f\u51b3\u7b56\u5960\u5b9a\u4e86\u57fa\u7840\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u5728\u4e13\u7528\u8ba1\u7b97\u67b6\u6784\u9886\u57df,\u4e13\u7528\u96c6\u6210\u7535\u8def(ASIC)\u548c\u56fe\u5f62\u5904\u7406\u5355\u5143(GPU)\u4ee3\u8868\u4e86\u89e3\u51b3\u590d\u6742\u8ba1\u7b97\u6311\u6218\u7684\u4e24\u79cd\u4e0d\u540c\u65b9\u6cd5\u3002\u5bf9\u4e8e\u914d\u7f6e\u9ad8\u6027\u80fd\u8ba1\u7b97\u7cfb\u7edf\u548c\u670d\u52a1\u5668\u79df\u7528\u7684\u6280\u672f\u4e13\u4e1a\u4eba\u5458\u6765\u8bf4,\u7406\u89e3ASIC\u548cGPU\u67b6\u6784\u4e4b\u95f4\u7684\u6839\u672c\u5dee\u5f02\u81f3\u5173\u91cd\u8981\u3002 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