Contribution to a conference proceedings

FZJ-2015-04991

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Accelerating LBM and LQCD Application Kernels by In-Memory Processing

Baumeister, P. F.FZJ* ; Boettiger, H. ; Brunheroto, J. ; Hater, T. (Corresponding author)FZJ* ; Maurer, T. ; Nobile, A.FZJ* ; Pleiter, D.FZJ*

2015
Springer International Publishing Cham
ISBN: 978-3-319-20118-4 (print), 978-3-319-20119-1 (electronic)

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Please use a persistent id in citations: doi:10.1007/978-3-319-20119-1_8

Abstract: Processing-in-memory architectures promise increased computing performance at decreased costs in energy, as the physical proximity of the compute pipelines to the data store eliminates overheads for data transport. We assess the overall performance impact using a recently introduced architecture of that type, called the Active Memory Cube, for two representative scientific applications. Precise performance results for performance critical kernels are obtained using cycle-accurate simulations. We provide an overall performance estimate using performance models.

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Contributing Institute(s):

1. Jülich Supercomputing Center (JSC)

Research Program(s):

1. 513 - Supercomputer Facility (POF3-513) (POF3-513)

Appears in the scientific report 2015

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Database coverage:
JCR ; Nationallizenz ; SCOPUS ; Thomson Reuters Master Journal List ; Web of Science Core Collection

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