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How to scale Nested OpenMP Applications on the ScaleMP vSMP Architecture

Schmidl, D. and Terboven, C. and Wolf, A. and an Mey, D. and Bischof, C. H. (2010):
How to scale Nested OpenMP Applications on the ScaleMP vSMP Architecture.
Los Alamitos, California, IEEE Computer Society, In: Proceedings of the IEEE International Conference on Cluster Computing (CLUSTER~2010), Heraklion, Greece, September~20--24, 2010, [Conference or Workshop Item]

Abstract

The novel ScaleMP vSMP architecture employs commodity x86-based servers with an InfiniBand network to assemble a large shared memory system at an attractive price point. We examine this combined hardware- and softwareapproach of a DSM system using both system-level kernel benchmarks as well as real-world application codes. We compare this architecture with traditional shared memory machines and elaborate on strategies to tune application codes parallelized with OpenMP on multiple levels. Finally we summarize the necessary conditions which a scalable application has to fulfill in order to profit from the full potential of the ScaleMP approach.

Item Type: Conference or Workshop Item
Erschienen: 2010
Creators: Schmidl, D. and Terboven, C. and Wolf, A. and an Mey, D. and Bischof, C. H.
Title: How to scale Nested OpenMP Applications on the ScaleMP vSMP Architecture
Language: English
Abstract:

The novel ScaleMP vSMP architecture employs commodity x86-based servers with an InfiniBand network to assemble a large shared memory system at an attractive price point. We examine this combined hardware- and softwareapproach of a DSM system using both system-level kernel benchmarks as well as real-world application codes. We compare this architecture with traditional shared memory machines and elaborate on strategies to tune application codes parallelized with OpenMP on multiple levels. Finally we summarize the necessary conditions which a scalable application has to fulfill in order to profit from the full potential of the ScaleMP approach.

Place of Publication: Los Alamitos, California
Publisher: IEEE Computer Society
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Scientific Computing
Event Title: Proceedings of the IEEE International Conference on Cluster Computing (CLUSTER~2010), Heraklion, Greece, September~20--24, 2010
Date Deposited: 10 Jul 2012 14:15
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