Sean Geronimo Anderson, K. Teranishi, Daniel M. Dunlavy, Jee W. Choi
{"title":"Performance-Portable Sparse Tensor Decomposition Kernels on Emerging Parallel Architectures.","authors":"Sean Geronimo Anderson, K. Teranishi, Daniel M. Dunlavy, Jee W. Choi","doi":"10.2172/1888390","DOIUrl":"https://doi.org/10.2172/1888390","url":null,"abstract":"—We leverage the Kokkos library to study perfor- mance portability of parallel sparse tensor decompositions on CPU and GPU architectures. Our result shows that with a single implementation Kokkos can deliver performance comparable to hand-tuned code for simple array operations that make up tensor decomposition kernels on a wide range of CPU and GPU systems, and superior performance for the MTTKRP kernel on CPUs.","PeriodicalId":415622,"journal":{"name":"Proposed for presentation at the 2021 IEEE High Performance Extreme Computing Virtual Conference held September 20-24, 2021 in ONLINE, ONLINE.","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117075114","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}