A high‐level library for multidimensional arrays programming in computational science

Summary This paper describes ExaShark, a hybrid n‐dimensional array toolkit offered as a high‐level library for scientists to compute large‐scale simulations. It offers a global‐array–like interface while its runtime can be configured to use shared memory threading techniques, inter‐node distributio...

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Bibliographic Details
Published in:Concurrency and computation 2018-04, Vol.30 (7), p.n/a
Main Authors: Chakroun, Imen, Vander Aa, Tom, De Fraine, Bruno, Haber, Tom, Costanza, Pascal, Wuyts, Roel
Format: Article
Language:English
Subjects:
Computer simulation
high performance computing
hybrid computing
Level (quantity)
multidimensional arrays
PGAS programming model
Solvers
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Summary:Summary This paper describes ExaShark, a hybrid n‐dimensional array toolkit offered as a high‐level library for scientists to compute large‐scale simulations. It offers a global‐array–like interface while its runtime can be configured to use shared memory threading techniques, inter‐node distribution techniques, or combinations of both. ExaShark takes advantage of the latest HPC technologies, helping to scale to future generation systems. It has been used to develop several scientific applications including stencil codes, solvers, and matrix factorization algorithms. These applications are used to demonstrate that it improves on the state of the art by providing a user‐friendly, generic API without sacrificing performance.
ISSN:1532-0626
1532-0634
DOI:10.1002/cpe.4376