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21st International Conference on Data Engineering Workshops (ICDEW'05)
New Dynamic Load Balancing for Parallel Modified PrefixSpan
Tokyo, Japan
April 05-April 08
ISBN: 0-7695-2657-8
Makoto Takaki, Hiroshima City University
Keiichi Tamura, Hiroshima City University
Toshihide Sutou, Hiroshima City University
Hajime Kitakami, Hiroshima City University
A motif that is a featured pattern is discovered from the frequent patterns in amino acid sequences. To extract frequent patterns at high speed, a parallel Modified PrefixSpan with a master-worker paradigm was proposed. However, a master-worker paradigm has a performance limitation when the number of PCs increases. To address this disadvantage, the distributed worker paradigm is adapted to the parallel Modified PrefixSpan. In order to obtain an effective speed-up ratio, we propose a new dynamic load balancing. The characteristics of dynamic load balancing are a smallgrain task and a Cache-based Random Steal schema. When a 100-scale PC cluster was used, the experimental results showed a speed-up ratio of 95 times.
Citation:
Makoto Takaki, Keiichi Tamura, Toshihide Sutou, Hajime Kitakami, "New Dynamic Load Balancing for Parallel Modified PrefixSpan," icdew, pp.1243, 21st International Conference on Data Engineering Workshops (ICDEW'05), 2005
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