{"id":6122,"date":"2025-02-07T04:47:00","date_gmt":"2025-02-06T19:47:00","guid":{"rendered":"https:\/\/devneko.jp\/wordpress\/?p=6122"},"modified":"2025-02-07T04:47:00","modified_gmt":"2025-02-06T19:47:00","slug":"a-survey-on-memory-efficient-large-scale-model-training-in-ai-for-science","status":"publish","type":"post","link":"https:\/\/devneko.jp\/wordpress\/?p=6122","title":{"rendered":"A Survey on Memory-Efficient Large-Scale Model Training in AI for Science\u00a0"},"content":{"rendered":"\n<ul class=\"wp-block-list\">\n<li><strong>A Survey on Memory-Efficient Large-Scale Model Training in AI for Science\u00a0<\/strong>[20.3]<br>\u3053\u306e\u8abf\u67fb\u306f\u3001\u751f\u7269\u5b66\u3001\u533b\u5b66\u3001\u5316\u5b66\u3001\u6c17\u8c61\u5b66\u306a\u3069\u306e\u79d1\u5b66\u5206\u91ce\u306b\u307e\u305f\u304c\u308b\u5fdc\u7528\u3092\u30ec\u30d3\u30e5\u30fc\u3059\u308b\u3002 \u672c\u7a3f\u3067\u306f,\u5909\u5727\u5668\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u306b\u57fa\u3065\u304f\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb(LLM)\u306e\u30e1\u30e2\u30ea\u52b9\u7387\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u624b\u6cd5\u306b\u3064\u3044\u3066\u6982\u8aac\u3059\u308b\u3002 \u4e88\u6e2c\u7cbe\u5ea6\u3092\u4fdd\u3061\u306a\u304c\u3089,\u30e1\u30e2\u30ea\u6700\u9069\u5316\u624b\u6cd5\u304c\u30b9\u30c8\u30ec\u30fc\u30b8\u9700\u8981\u3092\u524a\u6e1b\u3067\u304d\u308b\u3053\u3068\u3092\u5b9f\u8a3c\u3059\u308b\u3002<br><a href=\"http:\/\/arxiv.org\/abs\/2501.11847v1\">\u8ad6\u6587<\/a>\u00a0\u00a0<a href=\"https:\/\/fugumt.com\/fugumt\/paper_check\/2501.11847v1\">\u53c2\u8003\u8a33\uff08\u30e1\u30bf\u30c7\u30fc\u30bf\uff09<\/a>\u00a0 \u00a0(Tue, 21 Jan 2025 03:06:30 GMT)<\/li>\n\n\n\n<li>\u79d1\u5b66\u3078\u306e\u5fdc\u7528\u306b\u30d5\u30a9\u30fc\u30ab\u30b9\u3057\u305fMemory Efficient\u306a\u30e2\u30c7\u30eb\u306e\u30b5\u30fc\u30d9\u30a4<\/li>\n\n\n\n<li>\u300cUsing AlphaFold 2 as an example, we demonstrate how tailored memory optimization methods can reduce storage needs while preserving prediction accuracy.\u300d\u3068\u3044\u3046\u5185\u5bb9\u3082\u3002<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[387,551],"class_list":["post-6122","post","type-post","status-publish","format-standard","hentry","category-arxiv","tag-survey","tag-551"],"_links":{"self":[{"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=\/wp\/v2\/posts\/6122","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=6122"}],"version-history":[{"count":0,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=\/wp\/v2\/posts\/6122\/revisions"}],"wp:attachment":[{"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6122"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6122"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6122"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}