{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T07:37:42Z","timestamp":1758267462768,"version":"3.28.0"},"reference-count":20,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,7]]},"DOI":"10.1109\/hpcs48598.2019.9188225","type":"proceedings-article","created":{"date-parts":[[2020,9,9]],"date-time":"2020-09-09T20:58:33Z","timestamp":1599685113000},"page":"436-439","source":"Crossref","is-referenced-by-count":5,"title":["I\/O Performance Evaluation of Large-Scale Deep Learning on an HPC System"],"prefix":"10.1109","author":[{"given":"Minho","family":"Bae","sequence":"first","affiliation":[]},{"given":"Minjoong","family":"Jeong","sequence":"additional","affiliation":[]},{"given":"Sangho","family":"Yeo","sequence":"additional","affiliation":[]},{"given":"Sangyoon","family":"Oh","sequence":"additional","affiliation":[]},{"given":"Oh-Kyoung","family":"Kwon","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ESPM2.2018.00011"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0177459"},{"journal-title":"Github","article-title":"tensorflow\/tensorflow","year":"2019","key":"ref12"},{"journal-title":"Github","article-title":"apache\/incubator-mxnet","year":"2019","key":"ref13"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"84","DOI":"10.1145\/3065386","article-title":"ImageNet classification with deep convolutional neural networks","volume":"60","author":"krizhevsky","year":"2017","journal-title":"Communications of the ACM"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref16","volume":"abs 1809 10799","author":"zhang","year":"2018","journal-title":"FanStore Enabling Efficient and Scalable I\/O for Distributed Deep Learning"},{"key":"ref17","first-page":"223","article-title":"Towards Scalable Deep Learning via I\/O Analysis and Optimization","volume":"2018","author":"pumma","year":"2018","journal-title":"19th International Conference on High Performance Computing and Communications (HPCC)"},{"key":"ref18","volume":"abs 1810 3035","author":"chien","year":"2018","journal-title":"Characterizing deep-learning i\/o workloads in tensorflow"},{"key":"ref19","first-page":"248","author":"deng","year":"2009","journal-title":"ImageNet A Large-scale Hierarchical Image Database"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3146347.3146356"},{"journal-title":"Github","article-title":"intel\/caffe","year":"2019","key":"ref3"},{"key":"ref6","volume":"abs 1711 489","author":"smith","year":"2018","journal-title":"Don’t decay the learning rate increase the batch size"},{"journal-title":"Early results of deep learning on the stampede2 supercomputer","year":"2017","author":"zhang","key":"ref5"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2017.8258249"},{"key":"ref7","volume":"abs 1711 4291","author":"codreanu","year":"2017","journal-title":"Scale out for large minibatch SGD Residual network training on ImageNet-1K with improved accuracy and reduced time to train"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3225058.3225069"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICoICT.2016.7571957"},{"key":"ref1","volume":"abs 1706 2677","author":"goyal","year":"2017","journal-title":"Accurate large minibatch sgd Training imagenet in 1 hour"},{"key":"ref20","article-title":"MDB: A Memory-Mapped Database and Backend for OpenLDAP","author":"chu","year":"2011","journal-title":"Proceedings of 3rd International Conference on"}],"event":{"name":"2019 International Conference on High Performance Computing & Simulation (HPCS)","start":{"date-parts":[[2019,7,15]]},"location":"Dublin, Ireland","end":{"date-parts":[[2019,7,19]]}},"container-title":["2019 International Conference on High Performance Computing & Simulation (HPCS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9183768\/9188050\/09188225.pdf?arnumber=9188225","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,17]],"date-time":"2022-07-17T21:52:55Z","timestamp":1658094775000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9188225\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/hpcs48598.2019.9188225","relation":{},"subject":[],"published":{"date-parts":[[2019,7]]}}}