{"title":"A Runtime Framework for GPGPU","authors":"Shang-Chieh Lin, Yarsun Hsu","doi":"10.1109/PAAP.2014.18","DOIUrl":null,"url":null,"abstract":"A runtime framework for GPGPU is proposed. It provides a unified interface for applications to easily take advantage of the various computation powers on a heterogeneous environment. Multiple devices and platforms, such as CUDA and OpenCL can be utilized at the same time to achieve a better performance.","PeriodicalId":235467,"journal":{"name":"2014 Sixth International Symposium on Parallel Architectures, Algorithms and Programming","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 Sixth International Symposium on Parallel Architectures, Algorithms and Programming","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PAAP.2014.18","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
A runtime framework for GPGPU is proposed. It provides a unified interface for applications to easily take advantage of the various computation powers on a heterogeneous environment. Multiple devices and platforms, such as CUDA and OpenCL can be utilized at the same time to achieve a better performance.