Blue Gene/L advanced diagnostics environment

Authors:
M. E. Giampapa;R. Bellofatto;M. A. Blumrich;D. Chen;M. B. Dombrowa;A. Gara;R. A. Haring;P. Heidelberger;D. Hoenicke;G. V. Kopcsay;B. J. Nathanson;B. D. Steinmacher-Burow;M. Ohmacht;V. Salapura;P. Vranas
Affiliations:
IBM Research Division, Thomas J. Watson Research Center, Yorktown Heights, New York;IBM Research Division, Thomas J. Watson Research Center, Yorktown Heights, New York;IBM Research Division, Thomas J. Watson Research Center, Yorktown Heights, New York;IBM Research Division, Thomas J. Watson Research Center, Yorktown Heights, New York;IBM Research Division, Thomas J. Watson Research Center, Yorktown Heights, New York;IBM Research Division, Thomas J. Watson Research Center, Yorktown Heights, New York;IBM Research Division, Thomas J. Watson Research Center, Yorktown Heights, New York;IBM Research Division, Thomas J. Watson Research Center, Yorktown Heights, New York;IBM Research Division, Thomas J. Watson Research Center, Yorktown Heights, New York;IBM Research Division, Thomas J. Watson Research Center, Yorktown Heights, New York;IBM Research Division, Thomas J. Watson Research Center, Yorktown Heights, New York;IBM Research Division, Thomas J. Watson Research Center, Yorktown Heights, New York;IBM Research Division, Thomas J. Watson Research Center, Yorktown Heights, New York;IBM Research Division, Thomas J. Watson Research Center, Yorktown Heights, New York;IBM Research Division, Thomas J. Watson Research Center, Yorktown Heights, New York
Venue:
IBM Journal of Research and Development
Year:
2005

Citing 5
Cited 12

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Early performance data on the blue matter molecular simulation framework

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Power and performance optimization at the system level

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Blue matter on blue gene/L: massively parallel computation for biomolecular simulation

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Blue matter: approaching the limits of concurrency for classical molecular dynamics

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A study of the effects of machine geometry and mapping on distributed transpose performance

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Overview of the Blue Gene/L system architecture

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Blue Gene/L torus interconnection network

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Experiences with a Lightweight Supercomputer Kernel: Lessons Learned from Blue Gene's CNK

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Performance measurements of the 3D FFT on the blue gene/l supercomputer

Euro-Par'05 Proceedings of the 11th international Euro-Par conference on Parallel Processing
Blue matter: strong scaling of molecular dynamics on blue gene/l

ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part II

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Abstract

As 1999 ended, IBM announced its intention to construct a one-petaflop supercomputer. The construction of this system was based on a cellular architecture--the use of relatively small but powerful building blocks used together in sufficient quantities ...