Performance Meets Programmabilty: Enabling Native Python MPI Tasks In PyCOMPSs

The increasing complexity of modern and future computing systems makes it challenging to develop applications that aim for maximum performance. Hybrid parallel programming models offer new ways to exploit the capabilities of the underlying infrastructure. However, the performance gain is sometimes a...

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Veröffentlicht in:	Proceedings - Euromicro Workshop on Parallel and Distributed Processing S. 63 - 66
Hauptverfasser:	Elshazly, Hatem, Lordan, Francesc, Ejarque, Jorge, Badia, Rosa M.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.03.2020
Schlagworte:	Computational modeling Distributed Computing High Performance Computing Hybrid Programming Models MPI Parallel processing Parallel programming Productivity Python Runtime Task analysis Task-based Parallel Programming Models
ISSN:	2377-5750
Online-Zugang:	Volltext
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