{"title":"加速器礼拜堂","authors":"Rahul Ghangas, Josh Milthorpe","doi":"10.1109/IPDPSW50202.2020.00121","DOIUrl":null,"url":null,"abstract":"Chapel’s high level data-parallel constructs make parallel programming productive for general programmers. This talk introduces the “Chapel on Accelerators” project, which proposes compiler enhancements to extend data-parallel constructs to hardware accelerators including GPUs. Previous attempts to extend Chapel to GPUs [1]–[3] have not been successfully integrated, and any such extension needs to maintain portability and consistency with the Chapel design philosophy and implementation.","PeriodicalId":398819,"journal":{"name":"2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Chapel on Accelerators\",\"authors\":\"Rahul Ghangas, Josh Milthorpe\",\"doi\":\"10.1109/IPDPSW50202.2020.00121\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Chapel’s high level data-parallel constructs make parallel programming productive for general programmers. This talk introduces the “Chapel on Accelerators” project, which proposes compiler enhancements to extend data-parallel constructs to hardware accelerators including GPUs. Previous attempts to extend Chapel to GPUs [1]–[3] have not been successfully integrated, and any such extension needs to maintain portability and consistency with the Chapel design philosophy and implementation.\",\"PeriodicalId\":398819,\"journal\":{\"name\":\"2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IPDPSW50202.2020.00121\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPDPSW50202.2020.00121","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
摘要
Chapel的高级数据并行结构使并行编程对普通程序员来说非常高效。本演讲介绍了“Chapel on Accelerators”项目，该项目提出了编译器增强功能，将数据并行结构扩展到包括gpu在内的硬件加速器。以前将Chapel扩展到gpu的尝试[1]-[3]都没有成功集成，任何这样的扩展都需要保持可移植性和与Chapel设计理念和实现的一致性。
Chapel’s high level data-parallel constructs make parallel programming productive for general programmers. This talk introduces the “Chapel on Accelerators” project, which proposes compiler enhancements to extend data-parallel constructs to hardware accelerators including GPUs. Previous attempts to extend Chapel to GPUs [1]–[3] have not been successfully integrated, and any such extension needs to maintain portability and consistency with the Chapel design philosophy and implementation.
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