{"title":"PLC Introduction and Committees","authors":"B. Chapman","doi":"10.1109/IPDPSW.2014.218","DOIUrl":null,"url":null,"abstract":"Workshop Theme Three essential pillars to successful parallel computing Productivity, Portability, Performance. Creating software for heterogeneous systems can be quite complex especially when the low-level details need to be managed and abstracted from the programmer. Emerging standards are providing an incremental development to target heterogeneous architectures, be it NVIDIA, ARM, Intel or AMD. We all know software is an expensive investment. Portability is necessary, ensuring long lifetime of the software and thus reducing the maintenance cost. Other challenges include locality and memory issues, load balancing, hiding latency with concurrency and so on. This workshop aims to brainstorm ways to make programming heterogeneous systems less challenging and more interesting. We believe that this workshop will provide a forum for the presentation and discussions of research on all aspects of heterogeneous systems programming models, compiler optimizations, language extensions, and software tools for such systems. Areas of interest include but are not limited to the following topics:","PeriodicalId":153864,"journal":{"name":"2014 IEEE International Parallel & Distributed Processing Symposium Workshops","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Parallel & Distributed Processing Symposium Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPDPSW.2014.218","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
Workshop Theme Three essential pillars to successful parallel computing Productivity, Portability, Performance. Creating software for heterogeneous systems can be quite complex especially when the low-level details need to be managed and abstracted from the programmer. Emerging standards are providing an incremental development to target heterogeneous architectures, be it NVIDIA, ARM, Intel or AMD. We all know software is an expensive investment. Portability is necessary, ensuring long lifetime of the software and thus reducing the maintenance cost. Other challenges include locality and memory issues, load balancing, hiding latency with concurrency and so on. This workshop aims to brainstorm ways to make programming heterogeneous systems less challenging and more interesting. We believe that this workshop will provide a forum for the presentation and discussions of research on all aspects of heterogeneous systems programming models, compiler optimizations, language extensions, and software tools for such systems. Areas of interest include but are not limited to the following topics: