Jan G. Cornelis, J. Lemeire, T. Bruylants, P. Schelkens
{"title":"Heterogeneous Acceleration of Volumetric JPEG 2000","authors":"Jan G. Cornelis, J. Lemeire, T. Bruylants, P. Schelkens","doi":"10.1109/PDP.2015.112","DOIUrl":null,"url":null,"abstract":"We present the implementation of a volumetric JPEG 2000 codec as a real-world use case of software acceleration with GPUs and multi-core CPUs. We present a generic methodology to accelerate existing code written in C with OpenCL. Furthermore, we account for the volumetric nature of the processed data and formulate associated optimization guidelines. The resulting software can exploit different accelerator types - GPUs and multi-core CPUs - and delivers a decent speedup on a variety of hardware platforms for a relatively small effort.","PeriodicalId":285111,"journal":{"name":"2015 23rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 23rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PDP.2015.112","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
We present the implementation of a volumetric JPEG 2000 codec as a real-world use case of software acceleration with GPUs and multi-core CPUs. We present a generic methodology to accelerate existing code written in C with OpenCL. Furthermore, we account for the volumetric nature of the processed data and formulate associated optimization guidelines. The resulting software can exploit different accelerator types - GPUs and multi-core CPUs - and delivers a decent speedup on a variety of hardware platforms for a relatively small effort.