{"id":12601,"date":"2022-08-16T02:29:36","date_gmt":"2022-08-15T17:29:36","guid":{"rendered":"https:\/\/wp.study3.biz\/?p=12601"},"modified":"2022-08-16T02:30:14","modified_gmt":"2022-08-15T17:30:14","slug":"tensorflow-lstm-big-lstm-1-billion-word-dataset-words-second%e3%81%a7tesla-v100%e3%81%a8rtx2080ti1%e6%9e%9a%e3%80%812%e6%9e%9a%e3%81%ae%e8%a8%88%e7%ae%97%e8%83%bd%e5%8a%9b%e3%82%92%e6%af%94","status":"publish","type":"post","link":"https:\/\/wp.study3.biz\/?p=12601","title":{"rendered":"TensorFlow LSTM: Big-LSTM 1 Billion Word Dataset (words\/second)\u3067TESLA V100\u3068RTX2080Ti1\u679a\u30012\u679a\u306e\u8a08\u7b97\u80fd\u529b\u3092\u6bd4\u8f03\u3057\u3066\u307f\u305f"},"content":{"rendered":"<p>\u2192\u6570\u5024\u304c\u5927\u304d\u3044\u7a0b\u9ad8\u6027\u80fd<br \/>\nTensorFlow LSTM: Big-LSTM 1 Billion Word Dataset (words\/second)\u30b9\u30b3\u30a2<br \/>\n<img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/wp.study3.biz\/wp-content\/uploads\/2022\/08\/Big-LSTM-Ubuntu16.04.6.jpg\" alt=\"\" width=\"1896\" height=\"1121\" class=\"alignnone size-full wp-image-12606\" \/><br \/>\n<strong>RTX2080Ti\u304cTESLA V100\u3092\u8d85\u3048\u3055\u3089\u306b2\u679a\u3067\u5927\u5e45\u6539\u5584<\/strong><br \/>\n\u53c2\u8003\u30b5\u30a4\u30c8\u306f<a href=\"https:\/\/www.pugetsystems.com\/labs\/hpc\/RTX-Titan-TensorFlow-performance-with-1-2-GPUs-Comparison-with-GTX-1080Ti-RTX-2070-2080-2080Ti-and-Titan-V-1345\/\">\u3053\u3053<\/a>\u3067\u3059\u3002<br \/>\n\u30c7\u30fc\u30bf\u8a73\u7d30<br \/>\n<a href=\"http:\/\/wp.study3.biz\/wp-content\/uploads\/2019\/03\/Big-LSTM-ubuntu16.04.6-Tesla-V100-PCIE-16GB-CUDA-10.1-18.09-py3-TensorFlow-Training-performance-wordssecond-wps25343-23151-23241.txt\">Big LSTM ubuntu16.04.6 Tesla V100 PCIE 16GB CUDA 10.1 18.09-py3 &#8211; TensorFlow &#8211; Training performance (wordssecond) wps=25343 23151 23241<\/a><br \/>\n<a href=\"http:\/\/wp.study3.biz\/wp-content\/uploads\/2019\/03\/Big-LSTM-ubuntu16.04.6-RTX-2080Ti-CUDA-10.1-i7-5960x-18.09-py3-TensorFlow-Training-performance-wordssecond-wps39696-39548-39165.txt\">Big LSTM ubuntu16.04.6 RTX 2080Ti CUDA 10.1 i7 5960x 18.09-py3 &#8211; TensorFlow &#8211; Training performance (wordssecond) wps=39696 39548 39165<\/a><br \/>\n<a href=\"http:\/\/wp.study3.biz\/wp-content\/uploads\/2019\/03\/Big-LSTM-ubuntu16.04.6-RTX-2080Ti-x2-NVLink-CUDA-10.1-i7-5960x-18.09-py3-TensorFlow-Training-performance-wordssecond-wps62502-61236-61693.txt\">Big LSTM ubuntu16.04.6 RTX 2080Ti x2 NVLink CUDA 10.1 i7 5960x 18.09-py3 &#8211; TensorFlow &#8211; Training performance (wordssecond) wps=62502 61236 61693<\/a><br \/>\nGPU CPU\u6e29\u5ea6\u306e\u72b6\u6cc1<br \/>\n<a href=\"http:\/\/wp.study3.biz\/wp-content\/uploads\/2019\/03\/Big-LSTM-ubuntu16.04.6-Tesla-V100-PCIE-16GB-CUDA-10.1-18.09-py3-TensorFlow-Training-performance-wordssecond-wps25343-23151-23241-nvidia-smi.txt\">Big LSTM ubuntu16.04.6 Tesla V100 PCIE 16GB CUDA 10.1 18.09-py3 &#8211; TensorFlow &#8211; Training performance (wordssecond) wps=25343 23151 23241 nvidia-smi<\/a><br \/>\n<a href=\"http:\/\/wp.study3.biz\/wp-content\/uploads\/2019\/03\/Big-LSTM-ubuntu16.04.6-RTX-2080Ti-CUDA-10.1-i7-5960x-18.09-py3-TensorFlow-Training-performance-wordssecond-wps39696-39548-39165-nvidia-smi.txt\">Big LSTM ubuntu16.04.6 RTX 2080Ti CUDA 10.1 i7 5960x 18.09-py3 &#8211; TensorFlow &#8211; Training performance (wordssecond) wps=39696 39548 39165 nvidia-smi<\/a><br \/>\n<a href=\"http:\/\/wp.study3.biz\/wp-content\/uploads\/2019\/03\/Big-LSTM-ubuntu16.04.6-RTX-2080Ti-x2-NVLink-CUDA-10.1-i7-5960x-18.09-py3-TensorFlow-Training-performance-wordssecond-wps62502-61236-61693-nvidia-smi.txt\">Big LSTM ubuntu16.04.6 RTX 2080Ti x2 NVLink CUDA 10.1 i7 5960x 18.09-py3 &#8211; TensorFlow &#8211; Training performance (wordssecond) wps=62502 61236 61693 nvidia-smi<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u2192\u6570\u5024\u304c\u5927\u304d\u3044\u7a0b\u9ad8\u6027\u80fd TensorFlow LSTM: Big-LSTM 1 Billion Word Dataset (words\/second)\u30b9\u30b3\u30a2 RTX2080Ti\u304cTESLA V100\u3092\u8d85\u3048\u3055\u3089\u306b2\u679a\u3067\u5927\u5e45 &hellip; <a href=\"https:\/\/wp.study3.biz\/?p=12601\">\u7d9a\u304d\u3092\u8aad\u3080 <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[18,17],"tags":[],"class_list":["post-12601","post","type-post","status-publish","format-standard","hentry","category-nvidia","category-ubuntu"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/wp.study3.biz\/index.php?rest_route=\/wp\/v2\/posts\/12601","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wp.study3.biz\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wp.study3.biz\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wp.study3.biz\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/wp.study3.biz\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=12601"}],"version-history":[{"count":5,"href":"https:\/\/wp.study3.biz\/index.php?rest_route=\/wp\/v2\/posts\/12601\/revisions"}],"predecessor-version":[{"id":12611,"href":"https:\/\/wp.study3.biz\/index.php?rest_route=\/wp\/v2\/posts\/12601\/revisions\/12611"}],"wp:attachment":[{"href":"https:\/\/wp.study3.biz\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=12601"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wp.study3.biz\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=12601"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wp.study3.biz\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=12601"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}