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GPAW optimized for Blue Gene/P using hybrid programming

Publikation: Forskning - peer reviewKonferencebidrag i proceedings

Dokumenter

  • MainIEEE

    Forlagets udgivne version, 135 KB, PDF-dokument

In this work we present optimizations of a Grid-based projector-augmented wave method software, GPAW for the Blue Gene/P architecture. The improvements are achieved by exploring the advantage of shared and distributed memory programming also known as hybrid programming. The work focuses on optimizing a very time consuming operation in GPAW, the finite-different stencil operation, and different hybrid programming approaches are evaluated. The work succeeds in demonstrating a hybrid programming model which is clearly beneficial compared to the original flat programming model. In total an improvement of 1.94 compared to the original implementation is obtained. The results we demonstrate here are reasonably general and may be applied to other finite difference codes.
OriginalsprogEngelsk
TitelProceedings of the 2009 IEEE International Symposium on Parallel & Distributed Processing
Antal sider6
ForlagIEEE
Publikationsdato2009
Sider1-6
ISBN (Elektronisk)978-1-4244-3751-1
DOI
StatusUdgivet - 2009
BegivenhedInternational Parallel and Distributed Processing Symposium (IPDPS 2009) - Rom, Italien
Varighed: 23 maj 200929 maj 2009
Konferencens nummer: 23

Konference

KonferenceInternational Parallel and Distributed Processing Symposium (IPDPS 2009)
Nummer23
LandItalien
ByRom
Periode23/05/200929/05/2009

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