{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,10]],"date-time":"2026-01-10T07:44:23Z","timestamp":1768031063470,"version":"3.49.0"},"reference-count":34,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T00:00:00Z","timestamp":1567296000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T00:00:00Z","timestamp":1567296000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T00:00:00Z","timestamp":1567296000000},"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":[[2019,9]]},"DOI":"10.1109\/cluster.2019.8891012","type":"proceedings-article","created":{"date-parts":[[2019,11,13]],"date-time":"2019-11-13T18:00:53Z","timestamp":1573668053000},"page":"1-10","source":"Crossref","is-referenced-by-count":18,"title":["Parallelizing Training of Deep Generative Models on Massive Scientific Datasets"],"prefix":"10.1109","author":[{"given":"Sam Ade","family":"Jacobs","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jim","family":"Gaffney","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tom","family":"Benson","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peter","family":"Robinson","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luc","family":"Peterson","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Brian","family":"Spears","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Brian","family":"Van Essen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"David","family":"Hysom","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jae-Seung","family":"Yeom","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tim","family":"Moon","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rushil","family":"Anirudh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jayaraman J.","family":"Thiagaranjan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shusen","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peer-Timo","family":"Bremer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/SC.2018.00054"},{"key":"ref32","article-title":"Theory-guided data science: A new paradigm for scientific discovery","volume":"abs 1612 8544","author":"karpatne","year":"2016","journal-title":"CoRR"},{"key":"ref31","article-title":"PowerAI DDL","author":"cho","year":"2017"},{"key":"ref30","article-title":"On large-batch training for deep learning: Generalization gap and sharp minima","author":"keskar","year":"2017","journal-title":"Proceedings of International Conference on Learning Representations"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/SC.2018.00068"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1063\/1.1356740"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1063\/1.4977912"},{"key":"ref12","first-page":"1214","article-title":"A spectral approach for the design of experiments: Design, analysis and algorithms","volume":"19","author":"kailkhura","year":"2018","journal-title":"The Journal of Machine Learning Research"},{"key":"ref13","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Advances in Neural Information Processing Systems 27"},{"key":"ref14","author":"anirudh","year":"2019","journal-title":"Cycle consistent surrogate for inertial confinement fusion"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3146347.3146353"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/2427023.2427030"},{"key":"ref17","author":"harrison","year":"2019","journal-title":"Conduit Simplified Data Exchange for HPC Simulations"},{"key":"ref18","year":"2019","journal-title":"TensorFlow Data Input Pipeline"},{"key":"ref19","year":"2019","journal-title":"PyTorch DataLoader"},{"key":"ref28","article-title":"FireCaffe: Near-linear acceleration of deep neural network training on compute clusters","author":"iandola","year":"2015"},{"key":"ref4","doi-asserted-by":"crossref","DOI":"10.1145\/2834892.2834897","article-title":"LBANN: Livermore big artificial neural network HPC toolkit","author":"van essen","year":"2015","journal-title":"Proc Workshop Mach Learn High-Perform Comput Environ (MLHPC)"},{"key":"ref27","article-title":"Deep learning with COTS HPC systems","author":"coates","year":"2013","journal-title":"International Conference on Machine Learning (ICML)"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1051\/epjconf\/20135904001"},{"key":"ref6","author":"benson","year":"2019","journal-title":"Hydrogen Distributed Linear Algebra Library"},{"key":"ref29","article-title":"Accurate, large minibatch SGD: training ImageNet in 1 hour","author":"goyal","year":"2017"},{"key":"ref5","author":"benson","year":"2019","journal-title":"Livermore Big Artificial Neural Network (LBANN) Toolkit"},{"key":"ref8","author":"dryden","year":"2019","journal-title":"Aluminum GPU-aware communication library"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/MLHPC.2018.8638639"},{"key":"ref2","article-title":"Thermodynamic modeling of uncertainties in NIF ICF implosions due to underlying microphysics models","author":"gaffney","year":"2014","journal-title":"Proc APS Meeting Abstracts"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.114.255003"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1063\/1.5020791"},{"key":"ref20","article-title":"Population based training of neural networks","volume":"abs 1711 9846","author":"jaderberg","year":"2017","journal-title":"CoRR"},{"key":"ref22","author":"abadi","year":"2015","journal-title":"TensorFlow Large-Scale Machine Learning on Heterogeneous Systems"},{"key":"ref21","article-title":"Generative multiadversarial networks","volume":"abs 1611 1673","author":"durugkar","year":"2016","journal-title":"CoRR"},{"key":"ref24","article-title":"Building high-level features using large scale unsupervised learning","author":"le","year":"2012","journal-title":"International Conference on Machine Learning 2012"},{"key":"ref23","first-page":"10","article-title":"Scalable distributed DNN training using commodity GPU cloud computing","volume":"7","author":"strom","year":"2015","journal-title":"InterSpeech"},{"key":"ref26","first-page":"693","article-title":"Hogwild: A lock-free approach to parallelizing stochastic gradient descent","author":"recht","year":"2011","journal-title":"Advances in neural information processing systems"},{"key":"ref25","article-title":"Large scale distributed deep networks","author":"dean","year":"2012","journal-title":"Advances in neural information processing systems"}],"event":{"name":"2019 IEEE International Conference on Cluster Computing (CLUSTER)","location":"Albuquerque, NM, USA","start":{"date-parts":[[2019,9,23]]},"end":{"date-parts":[[2019,9,26]]}},"container-title":["2019 IEEE International Conference on Cluster Computing (CLUSTER)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8884608\/8890988\/08891012.pdf?arnumber=8891012","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,17]],"date-time":"2022-07-17T21:55:13Z","timestamp":1658094913000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8891012\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,9]]},"references-count":34,"URL":"https:\/\/doi.org\/10.1109\/cluster.2019.8891012","relation":{},"subject":[],"published":{"date-parts":[[2019,9]]}}}