Parallel Position Weight Matrices Algorithms

  • Authors:
  • Mathieu Giraud;Jean-Stéphane Varre

  • Affiliations:
  • -;-

  • Venue:
  • ISPDC '09 Proceedings of the 2009 Eighth International Symposium on Parallel and Distributed Computing
  • Year:
  • 2009

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Abstract

Position Weight Matrices (PWMs) are broadly used in computational biology. The basic problem, SCAN, aims to find the occurrences of a given PWM in large sequences. Some other PWM tasks share a common NP-hard subproblem, SCOREDISTRIBUTION. The existing algorithms rely on the enumeration on a large set of scores or words, and they are mostly not suitable for parallelization.We propose a new algorithm, BUCKETSCOREDISTRIBUTION, that is both very efficient and suitable for parallelization.We bound the error induced by this algorithm. We realized a GPU prototype for SCAN and BUCKETSCOREDISTRIBUTION with the CUDA libraries, and report for the different problems speedups of 21x and 77x on a Nvidia GTX 280.