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Bluegene/L applications:: Parallelism on a massive scale

delete2008-02-01
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OA
AI
B
Bronis R. de Supinski *
M
Martin Schulz
V
Vasily V. Bulatov
W
W. Cabot
B
Bor Chan
A
Andrew W. Cook
E
Erik W. Draeger
J
James N. Glosli
J
Jeffrey Greenough
K
Keith Henderson
A
Alison Kubota
S
S. Louis
B
Brian J. Miller
M
M. V. Patel
T
Thomas E. Spelce
F
Frederick H. Streitz
P
Peter L. Williams
R
Robert K. Yates
A
Andy Yoo
G
George Almási
G
Gyan Bhanot
A
Alan Gara
J
John A. Gunnels
M
Manish Gupta
J
José E. Moreira
J
James Sexton
B
Bob Walkup
C
Charles J Archer
F
François Gygi
T
Timothy C. Germann
K
Kai Kadau
P
P. S. Lomdahl
C
Charles A. Rendleman
M
Michael Welcome
W
William McLendon
F
Franz Franchetti
K
Kraig, Stefan
J
J. Lorenz
C
Christoph Überhuber
E
Edmond Chow
Ü
Ümit V. Çatalyürek
DOI:10.1177/1094342007085025delete
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Abstract

Abstract

En 中文
BlueGene/L (BG/L), developed through a partnership between IBM and Lawrence Livermore National Laboratory (LLNL), is currently the world's largest system both in terms of scale, with 131,072 processors, and absolute performance, with a peak rate of 367 Tflop/s. BG/L has led the last four Top500 lists with a Unpack rate of 280.6 Tflop/s for the full machine installed at LLNL and is expected to remain the fastest computer in the next few editions. However, the real value of a machine such as BG/L derives from the scientific breakthroughs that real applications can produce by successfully using its unprecedented scale and computational power. In this paper, we describe our experiences with eight large scale applications on BG/L from several application domains, ranging from molecular dynamics to dislocation dynamics and turbulence simulations to searches in semantic graphs. We also discuss the challenges we faced when scaling these codes and present several successful optimization techniques. All applications show excellent scaling behavior, even at very large processor counts, with one code even achieving a sustained performance of more than 100 Tflop/s, clearly demonstrating the real success of the BG/L design.
Keywords:
massively parallel architectures
BlueGene/L
application scalability
performance study and optimization
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Journal

International Journal of High Performance Computing Applications cover
International Journal of High Performance Computing Applications
IF:
2.5
Papers:
1.1K
Citations:
1.3K

Organization

U
university of california davis
Scholars:
3.4W
Papers: 2.6W
Citations: 45
L
Lawrence Livermore National Laboratory
Scholars:
6.0K
Papers: 3.8K
Citations: 9
L
Lawrence Berkeley National Laboratory
Scholars:
1.5W
Papers: 1.1W
Citations: 6.1W
University of California System cover
University of California System
Scholars:
37.5W
Papers: 33.7W
Citations: 6.6K
U
united states department of energy (doe)
Scholars:
11.3W
Papers: 9.6W
Citations: 246
L
Los Alamos National Laboratory
Scholars:
9.6K
Papers: 6.7K
Citations: 1.9W
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