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Application Examples of Leveraging Task Parallelism with Chapel

descriptionPublicationkeyboard_double_arrow_right Presentation , Other literature type 15 Feb 2023Publisher:Zenodo
Authors: Strout, Michelle Mills;

doi: 10.5281/zenodo.7658947 , 10.5281/zenodo.7658775 , 10.5281/zenodo.7658774 , 10.5281/zenodo.7658948

Application Examples of Leveraging Task Parallelism with Chapel

Abstract

The Chapel programming language provides constructs for expressing a wide range of parallelism patterns, while also remaining easy-to-use. This talk will show usage examples from machine learning, data analytics, aeronautical engineering, hydrology, and other application areas. Perspectives of how existing workflows were adjusted to leverage Chapel and the resulting performance and scaling will also be presented.

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download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
0
Average
Average
Average
37
34
Green