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11th IEEE International Symposium on High Performance Distributed Computing (HPDC-11 '02)
Local Discovery of System Architecture - Application Parameter Sensitivity: An Empirical Technique for Adaptive Grid Applications
Edinburgh, Scotland
July 24-July 26
ISBN: 0-7695-1686-6
ASCII Text
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I. R. Corey, J. R. Johnson, J. S. Vetter, "Local Discovery of System Architecture - Application Parameter Sensitivity: An Empirical Technique for Adaptive Grid Applications," High-Performance Distributed Computing, International Symposium on, pp. 399, 11th IEEE International Symposium on High Performance Distributed Computing (HPDC-11 '02), 2002.
 
 
BibTex
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@article{ 10.1109/HPDC.2002.1029940,
author = {I. R. Corey and J. R. Johnson and J. S. Vetter},
title = {Local Discovery of System Architecture - Application Parameter Sensitivity: An Empirical Technique for Adaptive Grid Applications},
journal ={High-Performance Distributed Computing, International Symposium on},
volume = {0},
year = {2002},
issn = {1082-8907},
pages = {399},
doi = {http://doi.ieeecomputersociety.org/10.1109/HPDC.2002.1029940},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - High-Performance Distributed Computing, International Symposium on
TI - Local Discovery of System Architecture - Application Parameter Sensitivity: An Empirical Technique for Adaptive Grid Applications
SN - 1082-8907
SP
EP
A1 - I. R. Corey,
A1 - J. R. Johnson,
A1 - J. S. Vetter,
PY - 2002
KW - null
VL - 0
JA - High-Performance Distributed Computing, International Symposium on
ER -
 
I. R. Corey, Lawrence Livermore National Laboratory
J. R. Johnson, Lawrence Livermore National Laboratory
J. S. Vetter, Lawrence Livermore National Laboratory
This study presents a technique that can significantly improve the performance of a distributed application by allowing the application to locally adapt to architectural characteristics of distinct resources in a distributed system. Application performance is sensitive to system architecture - application parameter pairings. In a distributed or Grid enabled application, a single parameter configuration for the whole application will not always be optimal for every participating resource. In particular, some configurations can significantly degrade performance. Furthermore, the behavior of a system may change during the course of the run. The technique described here provides an automated mechanism for run-time adaptation of application parameters to the local system architecture. Using a scaled-down simulation of a Monte Carlo physics code, we demonstrate that this technique can conservatively achieve speedups up to 65% on individual resources and may even provide order of magnitude speedup in the extreme case.
Citation:
I. R. Corey, J. R. Johnson, J. S. Vetter, "Local Discovery of System Architecture - Application Parameter Sensitivity: An Empirical Technique for Adaptive Grid Applications," hpdc, pp.399, 11th IEEE International Symposium on High Performance Distributed Computing (HPDC-11 '02), 2002
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