A performance-oriented comparative study of the Chapel high-productivity language to conventional programming environments-Reference-Cited by-同舟云学术

A performance-oriented comparative study of the Chapel high-productivity language to conventional programming environments

Published:2022-04-02 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Thirteenth International Workshop on Programming Models and Applications for Multicores and Manycores
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Author:

Helbecque Guillaume¹,Gmys Jan¹,Carneiro Tiago²,Melab Nouredine¹,Bouvry Pascal³

Affiliation:

1. Université de Lille, CNRS/CRIStAL UMR 9189, Inria Lille-Nord Europe

2. Université du Luxembourg, FSTM

3. Université du Luxembourg, DCS-FSTM/SnT

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3528425.3529104

Reference16 articles.

1. George Almasi. 2011. PGAS (partitioned global address space) languages. In Encyclopedia of Parallel Computing . Springer , 1539–1545. George Almasi. 2011. PGAS (partitioned global address space) languages. In Encyclopedia of Parallel Computing. Springer, 1539–1545.

2. Towards ultra-scale Branch-and-Bound using a high-productivity language

3. B. Chamberlain E. Ronaghan B. Albrecht L. Duncan M. Ferguson B. Harshbarger D. Iten D. Keaton V. Litvinov P. Sahabu and G. Titus. 2018. Chapel comes of age: Making scalable programming productive. B. Chamberlain E. Ronaghan B. Albrecht L. Duncan M. Ferguson B. Harshbarger D. Iten D. Keaton V. Litvinov P. Sahabu and G. Titus. 2018. Chapel comes of age: Making scalable programming productive.

4. Chapel 2022. The Chapel Parallel Programming Language. https://chapel-lang.org Chapel 2022. The Chapel Parallel Programming Language. https://chapel-lang.org

5. 2004. Measuring HPC productivity;Faulk S.;International Journal of High Performance Computing Applications,2004

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