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Interoperability strategies for GASPI and MPI in large-scale scientific applications

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

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International Journal of high Performance Computing Applications 33 (2019), Nr.3, S.554-568
ISSN: 1094-3420
ISSN: 1078-3482
ISSN: 1741-2846
Englisch
Zeitschriftenaufsatz
Fraunhofer ITWM ()

Abstract
One of the main hurdles of partitioned global address space (PGAS) approaches is the dominance of message passing interface (MPI), which as a de facto standard appears in the code basis of many applications. To take advantage of the PGAS APIs like global address space programming interface (GASPI) without a major change in the code basis, interoperability between MPI and PGAS approaches needs to be ensured. In this article, we consider an interoperable GASPI/MPI implementation for the communication/performance crucial parts of the Ludwig and iPIC3D applications. To address the discovered performance limitations, we develop a novel strategy for significantly improved performance and interoperability between both APIs by leveraging GASPI shared windows and shared notifications. First results with a corresponding implementation in the MiniGhost proxy application and the Allreduce collective operation demonstrate the viability of this approach.

: http://publica.fraunhofer.de/dokumente/N-558700.html