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A high‐level library for multidimensional arrays programming in computational science
Author(s) -
Chakroun Imen,
Vander Aa Tom,
De Fraine Bruno,
Haber Tom,
Costanza Pascal,
Wuyts Roel
Publication year - 2018
Publication title -
concurrency and computation: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 67
eISSN - 1532-0634
pISSN - 1532-0626
DOI - 10.1002/cpe.4376
Subject(s) - computer science , stencil , parallel computing , computational science , interface (matter) , supercomputer , node (physics) , computer architecture , distributed computing , engineering , structural engineering , bubble , maximum bubble pressure method
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.