article

Performance Analysis of Leading HPC Architectures With Beambeam3D

Authors:

Hongzhang Shan,

Erich Strohmaier,

Ji QiangAuthors Info & Claims

International Journal of High Performance Computing Applications, Volume 22, Issue 1

Pages 21 - 32

https://doi.org/10.1177/1094342006085024

Published: 01 February 2008 Publication History

Abstract

High energy colliders are essential to study the inner structure of nuclear and elementary particles. A parallel particle simulation code, BeamBeam3D, has been developed and actively used to model the beam dynamics and to optimize the performance of these colliders. In this paper, we analyze the performance characteristics of BeamBeam3D on several considerably different leading high performance computing architectures that are being employed either as production or research platforms. We examine different performance questions such as: how the workload should be partitioned among the processors to effectively use the computing resources; whether these platforms exhibit similar performance bottlenecks and how to address them; whether some platforms perform substantially better than others; and finally, what are the implications of BeamBeam3D for the design of the next generation supercomputer architectures.

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Cited By

Hauser TLebeau R(2019)Optimization of a Computational Fluid Dynamics Code for the Memory HierarchyInternational Journal of High Performance Computing Applications10.1177/109434200935841324:3(299-318)Online publication date: 17-Jan-2019
https://dl.acm.org/doi/10.1177/1094342009358413

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Published In

cover image International Journal of High Performance Computing Applications

International Journal of High Performance Computing Applications Volume 22, Issue 1

February 2008

126 pages

ISSN:1094-3420

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Publisher

Sage Publications, Inc.

United States

Publication History

Published: 01 February 2008

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Cited By

Hauser TLebeau R(2019)Optimization of a Computational Fluid Dynamics Code for the Memory HierarchyInternational Journal of High Performance Computing Applications10.1177/109434200935841324:3(299-318)Online publication date: 17-Jan-2019
https://dl.acm.org/doi/10.1177/1094342009358413

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