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Fourth IEEE International Conference on Cluster Computing (CLUSTER'02)
Processor Allocation on Cplant: Achieving General Processor Locality Using One-Dimensional Allocation Strategies
Chicago, Illinois
September 23-September 26
ISBN: 0-7695-1745-5
Vitus J. Leung, Sandia National Laboratories
Esther M. Arkin, State University of New York at Stony Brook
Michael A. Bender, State University of New York at Stony Brook
David Bunde, University of Illinois at Urbana-Champaign
Jeanette Johnston, Sandia National Laboratories
Alok Lal, Tufts University
Joseph S. B. Mitchell, Sandia National Laboratories
Cynthia Phillips, Sandia National Laboratories
Steven S. Seiden, Louisiana State University

The Computational Plant or Cplant is a commodity-based supercomputer under development at Sandia National Laboratories. This paper describes resource-allocation strategies to achieve processor locality for parallel jobs in Cplant and other supercomputers. Users of Cplant and other Sandia supercomputers submit parallel jobs to a job queue. When a job is scheduled to run, it is assigned to a set of processors. To obtain maximum throughput, jobs should be allocated to localized clusters of processors to minimize communication costs and to avoid bandwidth contention caused by overlapping jobs.

This paper introduces new allocation strategies and performance metrics based on space-filling curves and one dimensional allocation strategies. These algorithms are general and simple. Preliminary simulations and Cplant experiments indicate that both space-filling curves and one-dimensional packing improve processor locality compared to the sorted free list strategy previously used on Cplant. These new allocation strategies are implemented in the new release of the Cplant System Software, Version 2.0, phased into the Cplant systems 1 at Sandia by May 2002.

Citation:
Vitus J. Leung, Esther M. Arkin, Michael A. Bender, David Bunde, Jeanette Johnston, Alok Lal, Joseph S. B. Mitchell, Cynthia Phillips, Steven S. Seiden, "Processor Allocation on Cplant: Achieving General Processor Locality Using One-Dimensional Allocation Strategies," cluster, pp.296, Fourth IEEE International Conference on Cluster Computing (CLUSTER'02), 2002
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