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A disk-based parallel implementation for direct condensation of large permutation modules

Published: 29 July 2007 Publication History

Abstract

Through the use of a new disk-based method for enumerating very large orbits, condensation for orbits with tens of billions of elements can be performed. The algorithm is novel in that it offers efficient access to data using distributed disk-based data structures. This provides fast access to hundreds of gigabytes of data,which allows for computing without worrying about memory limitations.
The new algorithm is demonstrated on one of the long-standing open problems in the Modular Atlas Project [11]: the Brauer tree of the principal 17-block the sporadic simple Fischer group Fi23 The tree is completed by computing three orbit counting matrices for the Fi23 orbit of size 11, 739, 046, 176 acting on vectors of dimension 728 over GF (2). The construction of these matrices requires 3-1/2 days on a cluster of 56 computers,and uses 8 GB of disk storage and 800 MB of memory per machine.

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Cited By

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  • (2010)Fast multiplication of large permutations for disk, flash memory and RAMProceedings of the 2010 International Symposium on Symbolic and Algebraic Computation10.1145/1837934.1838001(355-362)Online publication date: 25-Jul-2010
  • (2009)Harnessing parallel disks to solve Rubik's cubeJournal of Symbolic Computation10.1016/j.jsc.2008.04.01344:7(872-890)Online publication date: 1-Jul-2009
  • (2007)A comparative analysis of parallel disk-based Methods for enumerating implicit graphsProceedings of the 2007 international workshop on Parallel symbolic computation10.1145/1278177.1278190(78-87)Online publication date: 27-Jul-2007

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    cover image ACM Conferences
    ISSAC '07: Proceedings of the 2007 international symposium on Symbolic and algebraic computation
    July 2007
    406 pages
    ISBN:9781595937438
    DOI:10.1145/1277548
    • General Chair:
    • Dongming Wang
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 29 July 2007

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    Author Tags

    1. Brauer trees
    2. condensation
    3. disk-based computation
    4. matrix groups
    5. parallel computation
    6. permutation groups
    7. sporadic Fischer group

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    ISSAC07
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    ISSAC07: International Symposium on Symbolic and Algebraic Computation
    July 29 - August 1, 2007
    Ontario, Waterloo, Canada

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    View all
    • (2010)Fast multiplication of large permutations for disk, flash memory and RAMProceedings of the 2010 International Symposium on Symbolic and Algebraic Computation10.1145/1837934.1838001(355-362)Online publication date: 25-Jul-2010
    • (2009)Harnessing parallel disks to solve Rubik's cubeJournal of Symbolic Computation10.1016/j.jsc.2008.04.01344:7(872-890)Online publication date: 1-Jul-2009
    • (2007)A comparative analysis of parallel disk-based Methods for enumerating implicit graphsProceedings of the 2007 international workshop on Parallel symbolic computation10.1145/1278177.1278190(78-87)Online publication date: 27-Jul-2007

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