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Interoperability of GASPI and MPI in large scale scientific applications

 
: Akhmetova, D.; Cebamanos, L.; Iakymchuk, R.; Rotaru, T.; Rahn, M.; Markidis, S.; Laure, E.; Bartsch, V.; Simmendinger, C.

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Wyrzykowski, R.:
Parallel processing and applied mathematics. 12th International Conference, PPAM 2017. Pt.2 : Lublin, Poland, September 10-13, 2017; Revised selected papers
Cham: Springer International Publishing, 2018 (Lecture Notes in Computer Science 10778)
ISBN: 978-3-319-78053-5 (Print)
ISBN: 978-3-319-78054-2 (Online)
ISBN: 3-319-78053-0
pp.277-287
International Conference on Parallel Processing and Applied Mathematics (PPAM) <12, 2017, Lublin>
English
Conference Paper
Fraunhofer ITWM ()

Abstract
One of the main hurdles of a broad distribution of PGAS approaches is the prevalence of MPI, which as a de-facto standard appears in the code basis of many applications. To take advantage of the PGAS APIs like GASPI without a major change in the code basis, interoperability between MPI and PGAS approaches needs to be ensured. In this article, we address this challenge by providing our study and preliminary performance results regarding interoperating GASPI and MPI on the performance crucial parts of the Ludwig and iPIC3D applications. In addition, we draw a strategy for better coupling of both APIs.

: http://publica.fraunhofer.de/documents/N-515987.html