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Dynamic topology aware load balancing algorithms for molecular dynamics applications
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International Conference on Supercomputing archive
Proceedings of the 23rd international conference on Supercomputing table of contents
Yorktown Heights, NY, USA
SESSION: Optimizing parallel applications table of contents
Pages 110-116  
Year of Publication: 2009
ISBN:978-1-60558-498-0
Authors
Abhinav Bhatelé  University of Illinois at Urbana-Champaign, Urbana, IL, USA
Laxmikant V. Kalé  University of Illinois at Urbana-Champaign, Urbana, IL, USA
Sameer Kumar  IBM T. J. Watson Research Center, Yorktown Heights, NY, USA
Sponsors
ACM: Association for Computing Machinery
SIGARCH: ACM Special Interest Group on Computer Architecture
Publisher
ACM  New York, NY, USA
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ABSTRACT

Molecular Dynamics applications enhance our understanding of biological phenomena through bio-molecular simulations. Large-scale parallelization of MD simulations is challenging because of the small number of atoms and small time scales involved. Load balancing in parallel MD programs is crucial for good performance on large parallel machines. This paper discusses load balancing algorithms deployed in a MD code called NAMD. It focuses on new schemes deployed in the load balancers and provides an analysis of the performance benefits achieved. Specifically, the paper presents the technique of topology-aware mapping on 3D mesh and torus architectures, used to improve scalability and performance. These techniques have a wide applicability for latency intolerant applications.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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S. J. Plimpton and B. A. Hendrickson. A new parallel method for molecular-dynamics simulation of macromolecular systems. J Comp Chem, 17:326--337, 1996.
 
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Abhinav Bhatele, Sameer Kumar, Chao Mei, James C. Phillips, Gengbin Zheng, and Laxmikant V. Kale. Overcoming Scaling Challenges in Biomolecular Simulations across Multiple Platforms. In Proceedings of IEEE International Parallel and Distributed Processing Symposium 2008, April 2008.
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Hideaki Kikuchi, Bijaya B. Karki, and Subhash Saini. Topology-aware parallel molecular dynamics simulation algorithm. In PDPTA, pages 1083--1088, 2006.
 
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Abhinav Bhatelé and Laxmikant V. Kalé. Benefits of Topology Aware Mapping for Mesh Interconnects. Parallel Processing Letters (Special issue on Large-Scale Parallel Processing), 18(4):549--566, 2008.
 
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Peter L. Freddolino, Anton S. Arkhipov, Steven B. Larson, Alexander McPherson, and Klaus Schulten. Molecular dynamics simulations of the complete satellite tobacco mosaic virus. 14:437--449, 2006.
 
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Abhinav Bhatele and Laxmikant V. Kale. An Evaluation of the Effect of Interconnect Topologies on Message Latencies in Large Supercomputers. In Proceedings of Workshop on Large-Scale Parallel Processing (IPDPS '09), May 2009.
 
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Collaborative Colleagues:
Abhinav Bhatelé: colleagues
Laxmikant V. Kalé: colleagues
Sameer Kumar: colleagues