{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T21:09:51Z","timestamp":1730236191631,"version":"3.28.0"},"reference-count":14,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,9]]},"DOI":"10.1109\/iccp.2017.8117028","type":"proceedings-article","created":{"date-parts":[[2017,11,23]],"date-time":"2017-11-23T17:02:46Z","timestamp":1511456566000},"page":"347-353","source":"Crossref","is-referenced-by-count":1,"title":["GPU memory leveraged for accelerated training using Tensorflow"],"prefix":"10.1109","author":[{"given":"Marculet","family":"Dan-Georgian","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gavrilut Dragos","family":"Teodor","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Benchea","family":"Razvan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","article-title":"TensorFlow: Large-scale machine learning on heterogeneous systems","author":"abadi","year":"2015","journal-title":"software available from tensorflow org"},{"key":"ref11","article-title":"Deep learning with theano, torch, caffe, tensorflow, and deeplearning4j: which one is the best in speed and accuracy?","author":"kovalev","year":"2016","journal-title":"International Conference of Pattern Recognition and Information Processing"},{"key":"ref12","article-title":"Comparative study of caffe, neon, theano, and torch for deep learning","volume":"abs 1511 6435","author":"bahrampour","year":"2015","journal-title":"CoRR"},{"journal-title":"Robust Statistics - The Approach Based on Influence Functions","year":"1986","author":"hampel","key":"ref13"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btm026"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref3","article-title":"Improving the speed of neural networks on cpus","author":"vanhoucke","year":"2011","journal-title":"NIPS Workshop on Deep Learning and Unsupervised Feature Learning"},{"journal-title":"Accurate large minibatch sgd Training imagenet in 1 hour","year":"2017","author":"goyal","key":"ref6"},{"key":"ref5","first-page":"1337","article-title":"Deep learning with COTS HPC systems","author":"coates","year":"0"},{"key":"ref8","article-title":"One weird trick for parallelizing convolutional neural networks","volume":"abs 1404 5997","author":"krizhevsky","year":"2014","journal-title":"CoRR"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref2","article-title":"Gpu asynchronous stochastic gradient descent to speed up neural network training","volume":"abs 1312 6186","author":"paine","year":"2013","journal-title":"CoRR"},{"key":"ref1","first-page":"1223","article-title":"Large scale distributed deep networks","author":"dean","year":"0"},{"key":"ref9","article-title":"Theano: A Python framework for fast computation of mathematical expressions","volume":"abs 1605 2688","year":"2016","journal-title":"ArXiv e-prints"}],"event":{"name":"2017 13th IEEE International Conference on Intelligent Computer Communication and Processing (ICCP)","start":{"date-parts":[[2017,9,7]]},"location":"Cluj-Napoca","end":{"date-parts":[[2017,9,9]]}},"container-title":["2017 13th IEEE International Conference on Intelligent Computer Communication and Processing (ICCP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8103830\/8116963\/08117028.pdf?arnumber=8117028","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,1,8]],"date-time":"2018-01-08T17:44:30Z","timestamp":1515433470000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/8117028\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,9]]},"references-count":14,"URL":"https:\/\/doi.org\/10.1109\/iccp.2017.8117028","relation":{},"subject":[],"published":{"date-parts":[[2017,9]]}}}