@inproceedings{e5bc040084c84d5e91661415afdc83d2,
title = "Chapel on accelerators",
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.",
author = "Rahul Ghangas and Josh Milthorpe",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 34th IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2020 ; Conference date: 18-05-2020 Through 22-05-2020",
year = "2020",
month = may,
doi = "10.1109/IPDPSW50202.2020.00121",
language = "English",
series = "Proceedings - 2020 IEEE 34th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "679",
booktitle = "Proceedings - 2020 IEEE 34th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2020",
address = "United States",
}