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Chapel on Accelerators

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Date

2020

Authors

Ghangas, Rahul
Milthorpe, Josh

Journal Title

Journal ISSN

Volume Title

Publisher

Institute of Electrical and Electronics Engineers Inc.

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.

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Keywords

Citation

URI

http://hdl.handle.net/1885/311645

Collections

ANU Research Publications

Source

Proceedings of the 34th IEEE International Parallel and Distributed Processing Symposium Workshops

Type

Conference paper

Book Title

Entity type

Access Statement

License Rights

DOI

10.1109/IPDPSW50202.2020.00121

Restricted until

2099-12-31

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Chapel_on_Accelerators.pdf (416.92 KB)

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