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Published in: The Journal of Supercomputing 4/2018

12-12-2017

Python accelerators for high-performance computing

Author: Ami Marowka

Published in: The Journal of Supercomputing | Issue 4/2018

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Abstract

Python became the preferred language for teaching in academia, and it is one of the most popular programming languages for scientific computing. This wide popularity occurs despite the weak performance of the language. This weakness is the motivation that drives the efforts devoted by the Python community to improve the performance of the language. In this article, we are following these efforts while we focus on one specific promised solution that aims to provide high-performance and performance portability for Python applications.

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Literature
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go back to reference Marowka A Is python suitable for teaching parallel programming?. will be published Marowka A Is python suitable for teaching parallel programming?. will be published
21.
go back to reference Volkov V, Demmel J (2008) Benchmarking GPUs to tune dense linear algebra. In: Proc. (2008) ACM/IEEE Conf. on Supercomputing (SC’08), Piscataway, NJ: IEEE Press, 2008. Art. 31, pp 1–11 Volkov V, Demmel J (2008) Benchmarking GPUs to tune dense linear algebra. In: Proc. (2008) ACM/IEEE Conf. on Supercomputing (SC’08), Piscataway, NJ: IEEE Press, 2008. Art. 31, pp 1–11
Metadata
Title
Python accelerators for high-performance computing
Author
Ami Marowka
Publication date
12-12-2017
Publisher
Springer US
Published in
The Journal of Supercomputing / Issue 4/2018
Print ISSN: 0920-8542
Electronic ISSN: 1573-0484
DOI
https://doi.org/10.1007/s11227-017-2213-5

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