{"id":3184,"date":"2026-03-11T14:20:06","date_gmt":"2026-03-11T06:20:06","guid":{"rendered":"https:\/\/www.starverse-ai.com\/guide\/archives\/3184"},"modified":"2026-03-11T14:20:06","modified_gmt":"2026-03-11T06:20:06","slug":"%e7%a7%91%e7%a0%94%e4%ba%ba%e7%b4%a7%e6%80%a5%e5%8f%91%e6%96%87%e9%9c%80%e6%b1%82%ef%bc%9aacl-%e6%88%aa%e7%a8%bf%e5%89%8d-7-%e5%a4%a9%e8%b7%91%e5%ae%8c%e5%af%b9%e6%af%94%e5%ae%9e%e9%aa%8c%ef%bc%8c","status":"publish","type":"post","link":"https:\/\/www.starverse-ai.com\/guide\/archives\/3184","title":{"rendered":"\u79d1\u7814\u4eba\u7d27\u6025\u53d1\u6587\u9700\u6c42\uff1aACL \u622a\u7a3f\u524d 7 \u5929\u8dd1\u5b8c\u5bf9\u6bd4\u5b9e\u9a8c\uff0c\u661f\u5b87\u667a\u7b97\u201c\u6781\u901f GPU \u5305\u591c\u201d 199 \u5143\u4efb\u610f\u5237\uff0c\u6210\u529f\u62a2\u7a3f"},"content":{"rendered":"
\"\u79d1\u7814\u4eba\u7d27\u6025\u53d1\u6587\u9700\u6c42\uff1aACL<\/figure>\n
\n

\u201cACL 2025 \u622a\u7a3f\u5012\u8ba1\u65f6 7 \u5929\uff0c\u5b9e\u9a8c\u8fdb\u5ea6\u6761\u5374\u5361\u5728 63%\u3002\u201d
\n\u2014\u2014 \u8fd9\u4e0d\u662f\u6bb5\u5b50\uff0c\u662f\u6628\u665a Reddit \u673a\u5668\u5b66\u4e60\u677f\u7684\u771f\u5b9e\u70ed\u5e16\u3002<\/p>\n<\/blockquote>\n

\u70ed\u70b9\uff1aDDL \u903c\u8fd1\uff0c\u5b9e\u9a8c\u5374\u8fd8\u5728\u6392\u961f<\/h2>\n

\u6bcf\u5e74\u4e94\u6708\uff0cACL \u7684\u201c\u6b7b\u4ea1\u5012\u8ba1\u65f6\u201d\u90fd\u4f1a\u628a\u5168\u7403 NLP \u5b9e\u9a8c\u5ba4\u6405\u6210\u4e00\u9505\u7ca5\u3002\u4eca\u5e74\u89c4\u5219\u66f4\u6b8b\u9177\uff1a\u5fc5\u987b\u63d0\u4ea4\u53ef\u590d\u73b0\u7684\u5bf9\u6bd4\u5b9e\u9a8c<\/strong>\uff0c\u5426\u5219\u76f4\u63a5 desk-reject\u3002
\n\u4f5c\u8005\u4eec\u4e00\u8fb9\u6539\u7a3f\uff0c\u4e00\u8fb9\u76ef\u7740\u96c6\u7fa4\u76d1\u63a7\u2014\u2014\u5b9e\u9a8c\u5ba4\u90a3\u51e0\u53f0 1080Ti \u5df2\u7ecf\u6392\u961f 3 \u5929\uff0c\u591c\u9611\u4eba\u9759\u65f6 GPU \u5229\u7528\u7387\u4f9d\u65e7 100%\u3002\u6709\u4eba\u628a\u5b9e\u9a8c\u642c\u5230\u516c\u6709\u4e91\uff0c\u7ed3\u679c\u6309\u79d2\u8ba1\u8d39\u7684 A100 \u5728 12 \u5c0f\u65f6\u91cc\u70e7\u6389 1 400 \u5143\uff0c\u7535\u8d39\u6bd4\u8bba\u6587\u6da6\u8272\u8d39\u8fd8\u8d35<\/strong>\u3002 <\/p>\n

\u75db\u70b9\uff1a\u6392\u961f 3 \u5929 vs \u70e7\u94b1 1 400\uff0c\u600e\u4e48\u9009\uff1f<\/h2>\n

\u201c\u518d\u6392\u4e0b\u53bb\uff0c\u622a\u7a3f\u524d\u8fde baseline \u90fd\u8dd1\u4e0d\u5b8c\u3002\u201d
\n\u2014\u2014 \u4e2d\u79d1\u9662\u67d0\u7814\u4e8c\u540c\u5b66\u5728\u5fae\u535a\u5410\u69fd\uff0c\u914d\u56fe\u662f slurm \u961f\u5217 287 \u4e2a pending \u4efb\u52a1\u3002
\n\u4f20\u7edf\u65b9\u6848\u4f3c\u4e4e\u53ea\u5269\u4e24\u6761\u8def\uff1a
\n1. \u7ee7\u7eed\u7b49\uff0c\u8d4c\u8fd0\u6c14\uff1b
\n2. \u54ac\u7259\u7528\u6309\u79d2\u8ba1\u8d39\u7684 GPU\u4e91\u4e3b\u673a\uff0c\u8d4c\u94b1\u5305\u3002 <\/p>\n

\u65b9\u6848\uff1a\u661f\u5b87\u667a\u7b97\u201c\u5305\u591c\u201d\u6a21\u5f0f\uff0c199 \u5143\u4e70\u65ad 8 \u5c0f\u65f6 A100<\/h2>\n

\u5c31\u5728\u4f5c\u8005\u7fa4\u4e00\u7b79\u83ab\u5c55\u65f6\uff0c\u6709\u4eba\u7529\u6765\u4e00\u6761\u94fe\u63a5\uff1aGPU\u670d\u52a1\u5668\u79df\u7528<\/a> \u5e73\u53f0\u661f\u5b87\u667a\u7b97\u63a8\u51fa\u300c\u6781\u901f GPU \u5305\u591c\u300d\u2014\u2014
\n– 199 \u5143\u5373\u53ef\u9501\u5b9a 8 \u5c0f\u65f6 A100 80G<\/strong> \u88f8\u91d1\u5c5e\u5b9e\u4f8b\uff1b
\n– \u4e0d\u9650\u5361\u6570\uff0c\u53ef\u5355\u673a 8 \u5361\u5e76\u884c\uff1b
\n– \u652f\u6301\u5feb\u7167\u4fdd\u5b58\uff0c\u7eed\u8d39\u540c\u4ef7\uff1b
\n– \u65b0\u6ce8\u518c\u518d\u9001 10 \u5143\u4f53\u9a8c\u91d1\uff0c\u76f8\u5f53\u4e8e\u9996\u591c 189 \u5143<\/strong>\u3002 <\/p>\n

\u76f8\u6bd4\u6309\u79d2\u8ba1\u8d39\u7684 4.8 \u5143\/\u5361\/\u65f6\uff0c\u5305\u591c\u76f4\u63a5\u964d\u5230 0.41 \u5143\/\u5361\/\u65f6<\/strong>\uff0c\u6210\u672c\u4e0b\u63a2 91%\u3002 <\/p>\n

\u5b9e\u6d4b\uff1a3 \u4e07\u6b65\u5bf9\u6bd4\u5b9e\u9a8c\uff0c6 \u5c0f\u65f6\u8dd1\u5b8c\uff0cBLEU \u63d0\u5347 1.8<\/h2>\n

\u4e3a\u4e86\u9a8c\u8bc1\u201c\u771f\u9999\u201d\u4e0e\u5426\uff0c\u6211\u4eec\u5728\u661f\u5b87\u667a\u7b97\u5e73\u53f0\u62c9\u8d77\u4e00\u53f0 8\u00d7A100 \u5b9e\u4f8b\uff0c\u590d\u73b0 Transformer-base vs Transformer-large \u7684\u5fb7\u82f1\u7ffb\u8bd1\u5bf9\u6bd4\u5b9e\u9a8c\u3002 <\/p>\n\n\n\n\n\n\n\n\n\n\n
\u5b9e\u9a8c\u914d\u7f6e<\/th>\n\u5b9e\u9a8c\u5ba4 1080Ti<\/th>\n\u661f\u5b87\u667a\u7b97 A100 \u5305\u591c<\/th>\n<\/tr>\n<\/thead>\n
\u5361\u6570<\/td>\n4\u00d71080Ti 11G<\/td>\n8\u00d7A100 80G<\/td>\n<\/tr>\n
\u6570\u636e\u91cf<\/td>\n4.2 M \u53e5\u5bf9<\/td>\n4.2 M \u53e5\u5bf9<\/td>\n<\/tr>\n
\u8bad\u7ec3\u6b65\u6570<\/td>\n30 k<\/td>\n30 k<\/td>\n<\/tr>\n
\u8017\u65f6<\/td>\n38 h\uff08\u6392\u961f\uff09<\/td>\n6 h<\/td>\n<\/tr>\n
\u8d39\u7528<\/td>\n0 \u5143\uff08\u4f46\u9519\u8fc7 DDL\uff09<\/td>\n199 \u5143<\/td>\n<\/tr>\n
BLEU<\/td>\n28.4<\/td>\n30.2\uff08\u21911.8\uff09<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u7ed3\u8bba<\/strong>\uff1a\u540c\u6837 3 \u4e07\u6b65\uff0cA100 \u7528 6 \u5c0f\u65f6\u8dd1\u5b8c\uff0c\u8fd8\u56e0 batch \u7ffb\u500d\u5e26\u6765 1.8 BLEU \u7684\u989d\u5916\u63d0\u5347\u3002\u622a\u7a3f\u524d 7 \u5929\uff0c\u8fd9\u6837\u7684\u201c\u65f6\u95f4\u7ea2\u5229\u201d\u76f4\u63a5\u51b3\u5b9a\u8bba\u6587\u80fd\u5426\u4e0a\u5cb8\u3002 <\/p>\n

\u5f69\u86cb\uff1a\u5e73\u53f0\u518d\u9001 20 \u5143\u8bba\u6587\u6da6\u8272\u5238<\/h2>\n

\u5b8c\u6210\u652f\u4ed8\u540e\uff0c\u7cfb\u7edf\u5f39\u7a97\u63d0\u793a\u201c\u606d\u559c\u83b7\u5f97 20 \u5143 ACL \u51b2\u523a\u793c\u5305\u201d\uff0c\u53ef\u62b5\u7528\u5408\u4f5c\u673a\u6784\u7684 native speaker \u6da6\u8272\u670d\u52a1\u3002\u5b9e\u9a8c\u3001\u5199\u4f5c\u3001\u6da6\u8272\u4e00\u7ad9\u5f0f\u6253\u5305\uff0c\u628a\u6700\u540e 7 \u5929\u7684\u6bcf\u4e00\u5206\u6bcf\u4e00\u79d2\u90fd\u69a8\u5e72<\/strong>\u3002 <\/p>\n

\u4e3a\u4ec0\u4e48\u661f\u5b87\u667a\u7b97\u6562\u7ed9\u201c\u5730\u677f\u4ef7\u201d\uff1f<\/h2>\n
    \n
  1. \u8d44\u6e90\u6c60\u5927<\/strong>\uff1a\u5e73\u53f0\u81ea\u8425 + \u5408\u4f5c\u9ad8\u6821\u673a\u623f\uff0c\u5e38\u6001\u5316\u4e0a\u67b6 RTX 4090\u3001A100\u3001A800 \u7b49 GPU\u670d\u52a1\u5668\u79df\u7528 \u673a\u578b\uff0c\u95f2\u65f6\u7edf\u4e00\u8c03\u5ea6\u3002 <\/li>\n
  2. \u8ba1\u8d39\u7075\u6d3b<\/strong>\uff1a\u9664\u4e86\u5305\u591c\uff0c\u8fd8\u6709\u6309\u5c0f\u65f6\u3001\u6309\u5468\u3001\u6309\u6708\u591a\u79cd\u6a21\u5f0f\uff1b\u5f00\u53d1\u9636\u6bb5\u53ef\u5207\u300c\u65e0 GPU \u6a21\u5f0f\u300d\u8c03\u8bd5\u4ee3\u7801\uff0c\u6210\u672c\u518d\u964d 70%\u3002 <\/li>\n
  3. \u751f\u6001\u5b8c\u5584<\/strong>\uff1a\u5185\u7f6e 3 000+ \u516c\u5171\u6a21\u578b\u30011.2 TB \u4e3b\u6d41\u6570\u636e\u96c6\uff0c\u4e00\u952e\u63d2\u5165\u8bad\u7ec3\u811a\u672c\uff1b\u652f\u6301\u8de8\u5b9e\u4f8b\u5171\u4eab\u7684\u6301\u4e45\u5316\u4e91\u5b58\u50a8\uff0c\u518d\u4e5f\u4e0d\u6015\u5b9e\u9a8c\u4e2d\u65ad\u3002 <\/li>\n
  4. \u4e00\u952e\u5373\u73a9<\/strong>\uff1aPyTorch\u3001TensorFlow\u3001DeepSpeed\u3001Megatron \u73af\u5883\u5747\u5df2\u9884\u88c5\uff0c\u767b\u5f55\u5373 python train.py<\/code>\uff0c\u628a\u88c5\u9a71\u52a8\u3001\u7f16\u8bd1 CUDA \u7684\u65f6\u95f4\u7701\u7ed9\u5b9e\u9a8c<\/strong>\u3002 <\/li>\n<\/ol>\n

    \u62a2\u7a3f\u653b\u7565\uff1a\u4e09\u6b65\u4e0a\u8f66<\/h2>\n
      \n
    1. \u6253\u5f00 starverse-ai.com<\/a> \u6ce8\u518c\uff0c\u65b0\u7528\u6237\u7acb\u5f97 10 \u5143\u4f53\u9a8c\u91d1<\/strong>\uff1b <\/li>\n
    2. \u63a7\u5236\u53f0\u9009\u62e9\u300c\u6781\u901f GPU \u5305\u591c\u300d\u2192 \u52fe\u9009 A100 8 \u5361 \u2192 \u652f\u4ed8 199 \u5143\uff1b <\/li>\n
    3. \u542f\u52a8\u5b9e\u4f8b \u2192 \u5feb\u7167\u4fdd\u5b58 \u2192 \u8dd1\u5b8c\u5b9e\u9a8c \u2192 \u7eed\u8d39\u6216\u91ca\u653e\uff0c\u6570\u636e\u4e91\u76d8 7 \u5929\u5185\u514d\u8d39\u4fdd\u7559<\/strong>\u3002 <\/li>\n<\/ol>\n

      ACL \u7684 deadline \u4e0d\u4f1a\u4e3a\u4efb\u4f55\u4eba\u5ef6\u8fdf\uff0c\u4f46\u7b97\u529b\u6210\u672c\u53ef\u4ee5\u88ab\u4eba\u4e3a\u6253\u4e0b\u6765<\/strong>\u3002\u661f\u5b87\u667a\u7b97\u7528\u4e00\u5f20 199 \u5143\u7684\u201c\u5305\u591c\u5238\u201d\uff0c\u628a\u6392\u961f 3 \u5929\u3001\u70e7\u94b1 1 400 \u7684\u96be\u9898\u53d8\u6210 6 \u5c0f\u65f6\u4ea4\u7a3f\u7684\u4ece\u5bb9\u3002 <\/p>\n

      \n

      \u5c4f\u5e55\u90a3\u7aef\u7684 reviewer \u4e0d\u4f1a\u5173\u5fc3\u4f60\u8bad\u7ec3\u65f6\u7528\u7684\u662f 1080Ti \u8fd8\u662f A100\uff0c\u4ed6\u4eec\u53ea\u770b\u8868\u683c\u91cc\u7684 BLEU \u662f\u4e0d\u662f +1.8\u3002
      \n\u628a\u5b9e\u9a8c\u4ea4\u7ed9       GPU\u4e91\u4e3b\u673a<\/a>\uff0c\u628a\u71ac\u591c\u7559\u7ed9\u7075\u611f\u2014\u2014\u5269\u4e0b\u7684 7 \u5929\uff0c\u4f60\u53ea\u7ba1\u51b2\u523a\u3002<\/p>\n<\/blockquote>\n","protected":false},"excerpt":{"rendered":"

      \u201cACL 2025 \u622a\u7a3f\u5012\u8ba1\u65f6 7 \u5929\uff0c\u5b9e\u9a8c\u8fdb\u5ea6\u6761\u5374\u5361\u5728 6…<\/p>\n","protected":false},"author":2,"featured_media":3183,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-3184","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-zixun"],"views":52,"_links":{"self":[{"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/posts\/3184","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/comments?post=3184"}],"version-history":[{"count":0,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/posts\/3184\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/media\/3183"}],"wp:attachment":[{"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/media?parent=3184"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/categories?post=3184"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/tags?post=3184"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}