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IEEE John Vincent Atanasoff 2006 International Symposium on Modern Computing (JVA'06)
Performance Modeling of the Blue Gene Architecture
Sofia, Bulgari
October 03-October 06
ISBN: 0-7695-2643-8
ASCII Text
x 
 
Darren J. Kerbyson, Adolfy Hoisie, "Performance Modeling of the Blue Gene Architecture," John Vincent Atanasoff Modern Computing, International Symposium on, pp. 252-259, IEEE John Vincent Atanasoff 2006 International Symposium on Modern Computing (JVA'06), 2006.
 
 
BibTex
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@article{ 10.1109/JVA.2006.39,
author = {Darren J. Kerbyson and Adolfy Hoisie},
title = {Performance Modeling of the Blue Gene Architecture},
journal ={John Vincent Atanasoff Modern Computing, International Symposium on},
volume = {0},
year = {2006},
isbn = {0-7695-2643-8},
pages = {252-259},
doi = {http://doi.ieeecomputersociety.org/10.1109/JVA.2006.39},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - John Vincent Atanasoff Modern Computing, International Symposium on
TI - Performance Modeling of the Blue Gene Architecture
SN - 0-7695-2643-8
SP252
EP259
A1 - Darren J. Kerbyson,
A1 - Adolfy Hoisie,
PY - 2006
KW - null
VL - 0
JA - John Vincent Atanasoff Modern Computing, International Symposium on
ER -
 
Darren J. Kerbyson, Los Alamos National Laboratory, NM
Adolfy Hoisie, Los Alamos National Laboratory, NM
In this work we analyze the performance of the largest installation of the Blue Gene/L architecture. This currently has the highest peak performance of any supercomputer. The performance characteristics of this machine are considered that gives rise to achievable application performance. By using a detailed performance model of Sweep3D - a kernel application of interest to Los Alamos National Laboratory we verify that the performance of Blue Gene/L is as expected. In addition the model is used to analyze a possible configuration of a peta-flop version of Blue Gene which contains an increased number of processor cores operating at a higher clock frequency. Uncertainties in the performance characteristics of this future system are captured through a sensitivity analysis on the achievable processing rate, communication latency, and bandwidth. The analysis shows the expected level of performance for Sweep3D that may be achieved on such a system in comparison to current systems.
Citation:
Darren J. Kerbyson, Adolfy Hoisie, "Performance Modeling of the Blue Gene Architecture," jva, pp.252-259, IEEE John Vincent Atanasoff 2006 International Symposium on Modern Computing (JVA'06), 2006
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