Performance Modeling of the Blue Gene Architecture

Sofia, Bulgari October 03-October 06

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http://doi.ieeecomputersociety.org/10.1109/JVA.2006.39

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	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	x
	@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}, }

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	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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