BlueGene/L applications: Parallelism On a Massive Scale

Author:

de Supinski Bronis R.1,Schulz Martin2,Bulatov Vasily V.2,Cabot William2,Chan Bor2,Cook Andrew W.2,Draeger Erik W.2,Glosli James N.2,Greenough Jeffrey A.2,Henderson Keith2,Kubota Alison2,Louis Steve2,Miller Brian J.2,Patel Mehul V.2,Spelce Thomas E.2,Streitz Frederick H.2,Williams Peter L.2,Yates Robert K.2,Yoo Andy2,Almasi George3,Bhanot Gyan3,Gara Alan3,Gunnels John A.3,Gupta Manish3,Moreira Jose3,Sexton James3,Walkup Bob3,Archer Charles4,Gygi Francois5,Germann Timothy C.6,Kadau Kai6,Lomdahl Peter S.6,Rendleman Charles7,Welcome Michael L.7,McLendon William8,Hendrickson Bruce8,Franchetti Franz9,Kral Stefan10,Lorenz Jürgen10,Überhuber Christoph W.10,Chow Edmond11,Çatalyürek Ümit12

Affiliation:

1. LAWRENCE LIVERMORE NATIONAL LABORATORY, LIVERMORE, CA 94551, USA,

2. LAWRENCE LIVERMORE NATIONAL LABORATORY, LIVERMORE, CA 94551, USA

3. IBM THOMAS J. WATSON RESEARCH CENTER

4. IBM SYSTEMS AND TECHNOLOGY GROUP

5. UNIVERSITY OF CALIFORNIA, DAVIS

6. LOS ALAMOS NATIONAL LABORATORY

7. LAWRENCE BERKELEY NATIONAL LABORATORY

8. SANDIA NATIONAL LABORATORIES

9. CARNEGIE MELLON UNIVERSITY

10. VIENNA UNIVERSITY OF TECHNOLOGY

11. D. E. SHAW RESEARCH AND DEVELOPMENT

12. OHIO STATE UNIVERSITY

Abstract

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 Linpack 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.

Publisher

SAGE Publications

Subject

Hardware and Architecture,Theoretical Computer Science,Software

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