An Optimized Dependence Convex Hull Partitioning Technique to Maximize Parallelism of Nested Loops with Non-Uniform Dependences

  • Authors:

  • Der-Lin Pean;Guan-Joe Lai;Cheng Chen

  • Affiliations:

  • -;-;-

  • Venue:
  • ICPADS '00 Proceedings of the Seventh International Conference on Parallel and Distributed Systems
  • Year:
  • 2000

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Abstract

There are many methods existing for nested loop partitioning; however, most of them perform poorly when partitioning loops with non-uniform dependences. This paper proposes a generalized and optimized loop partitioning mechanism to exploit parallelism from nested loops with non-uniform dependences. Our approach based on the dependence convex theory will divide the loop into variable size partitions. Furthermore, the proposed algorithm partitions a nested loop by using the copy-renaming and the optimized partitioning techniques to minimize the number of parallel regions of the iteration space, outperforming the other previous partition mechanisms of nested loops with nonuniform dependences.