NAMD: biomolecular simulation on thousands of processors

  • Authors:
  • James C. Phillips;Gengbin Zheng;Sameer Kumar;Laxmikant V. Kalé

  • Affiliations:
  • Beckman Institute, University of Illinois at Urbana-Champaign;Beckman Institute, University of Illinois at Urbana-Champaign;Beckman Institute, University of Illinois at Urbana-Champaign;Beckman Institute, University of Illinois at Urbana-Champaign

  • Venue:
  • Proceedings of the 2002 ACM/IEEE conference on Supercomputing
  • Year:
  • 2002

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Abstract

NAMD is a fully featured, production molecular dynamics program for high performance simulation of large biomolecular systems. We have previously, at SC2000, presented scaling results for simulations with cutoffelectrostatics on up to 2048 processors of the ASCI Red machine, achieved with an object-based hybrid force and spatial decomposition scheme and an aggressive measurement-based predictive load balancing framework. We extend this work by demonstrating similar scaling on the much faster processors of the PSC Lemieux Alpha cluster, and for simulations employing efficient (order N log N) particle mesh Ewald full electrostatics. This unprecedented scalability in a biomolecular simulation code has been attained through latency tolerance, adaptation to multiprocessor nodes, and the direct use of the Quadrics Elan library in place of MPI by the Charm++/Converse parallel runtime system.