{"title":"A GPU Implementation of the Sparse Deep Neural Network Graph Challenge","authors":"M. Bisson, M. Fatica","doi":"10.1109/HPEC.2019.8916223","DOIUrl":null,"url":null,"abstract":"This paper presents a CUDA implementation of the latest addition to the Graph Challenge, the inference computation on a collection of large sparse deep neural networks. A single Tesla V100 can compute the inference at 3.7 TeraEdges/s. Using the managed memory API available in CUDA allows for simple and efficient distribution of these computations across a multiGPU NVIDIA DGX-2 server.","PeriodicalId":184253,"journal":{"name":"2019 IEEE High Performance Extreme Computing Conference (HPEC)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE High Performance Extreme Computing Conference (HPEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HPEC.2019.8916223","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 16
Abstract
This paper presents a CUDA implementation of the latest addition to the Graph Challenge, the inference computation on a collection of large sparse deep neural networks. A single Tesla V100 can compute the inference at 3.7 TeraEdges/s. Using the managed memory API available in CUDA allows for simple and efficient distribution of these computations across a multiGPU NVIDIA DGX-2 server.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
