Application Scalability and Performance on Multicore Architectures

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ApplicationScalability.pdf (157.63 KB)

Links to Files

https://ieeexplore.ieee.org/abstract/document/4438014

Permanent Link

https://doi.org/10.1109/HPCMP-UGC.2007.10
 http://hdl.handle.net/11603/38723

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UMBC Computer Science and Electrical Engineering Department

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Author/Creator ORCID

Date

2007-06

Type of Work

conference papers and proceedings
Text

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Citation of Original Publication

Rights

This work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.
Public Domain

Subjects

Supercomputers
Scalability
Research and development
Yarn
High performance computing
Power cables
Navier-Stokes equations
Hardware
Adaptive mesh refinement
Multicore processing

Abstract

The US Army Engineer Research and Development Center Major Shared Resource Center has recently upgraded its Cray XT3 system from single-core to dual- core AMD Opteron processors and has procured a quad- core XT4 supercomputer for installation in early 2008. This paper provides performance analysis of several representative Department of Defense applications executed on single-core and dual-core AMD Opteron processors. The authors provide a detailed strong- scaling study that focuses on addressing some areas of contention that may lead to increased job run times on applications running on many thousands of processors. The authors intend to use the results of this study as a guide for determining application performance on the quad-core Cray XT4.