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  4. GASPI - a partitioned global address space programming interface
 
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2013
Conference Paper
Title

GASPI - a partitioned global address space programming interface

Abstract
At the threshold to exascale computing, limitations of the MPI programming model become more and more pronounced. HPC programmers have to design codes that can run and scale on systems with hundreds of thousands of cores. Setting up accordingly many communication buffers, point-to-point communication links, and using bulk-synchronous communication phases is contradicting scalability in these dimensions. Moreover, the reliability of upcoming systems will worsen.
Author(s)
Alrutz, T.
Backhaus, J.
Brandes, T.
End, V.
Gerhold, T.
Geiger, A.
Grünewald, D.
Heuveline, V.
Jägersküpper, J.
Knüpfer, A.
Krzikalla, O.
Kügeler, E.
Lojewski, C.
Lonsdale, G.
Müller-Pfefferkorn, R.
Nagel, W.
Oden, L.
Pfreundt, F.-J.
Rahn, M.
Sattler, M.
Schmidtobreick, M.
Schiller, A.
Simmendinger, C.
Soddemann, T.
Sutmann, G.
Weber, H.
Weiss, J.-P.
Mainwork
Facing the multicore-challenge III. Aspects of new paradigms and technologies in parallel computing  
Conference
Conference "Facing the Multicore-Challenge" 2012  
DOI
10.1007/978-3-642-35893-7_18
Language
English
Fraunhofer-Institut für Techno- und Wirtschaftsmathematik ITWM  
Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI  
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