Systolic optimization on GPU platforms

  • Authors:
  • Enrique Alba;Pablo Vidal

  • Affiliations:
  • E.T.S.I. Inform$#225/tica, Universidad de M$#225/laga, M$#225/laga, Españ/a;E.T.S.I. Inform$#225/tica, Universidad de M$#225/laga, M$#225/laga, Españ/a

  • Venue:
  • EUROCAST'11 Proceedings of the 13th international conference on Computer Aided Systems Theory - Volume Part I
  • Year:
  • 2011

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Abstract

The article presents a systolic algorithm implemented using NVIDIA's Compute Unified Device Architecture (CUDA). The algorithm works as a general disposition of the elements in a mesh by sinchronously computing basic solutions among processing elements. We have used instances of the Subset Sum Problem for evaluating to study the behavior of the proposed model. The experimental results show that the approach is very efficient, especially for large problem instances and consumes shorter times compared to other algorithms like parallel Genetic Algorithms and Random Search.