加速器礼拜堂

2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) Pub Date : 2020-05-01 DOI:10.1109/IPDPSW50202.2020.00121

Rahul Ghangas, Josh Milthorpe

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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。

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Chapel on Accelerators

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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2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)

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