On the Automatic Parallelization of Sparse and Irregular Fortran Programs

  • Authors:
  • Yuan Lin;David A. Padua

  • Affiliations:
  • -;-

  • Venue:
  • LCR '98 Selected Papers from the 4th International Workshop on Languages, Compilers, and Run-Time Systems for Scalable Computers
  • Year:
  • 1998

Quantified Score

Hi-index 0.00

Visualization

Abstract

Automatic parallelization is usually believed to be less effective at exploiting implicit paralleism in sparse/irregular programs than in their dense/regular counterparts. However, not much is really known because there have been few research reports on this topic. In this work, we have studied the possibility of using an automatic parallelizing compiler to detect the parallelism in sparse/irregular programs. The study with a collection of sparse/irregular programs led us to some common loop patterns. Based on these patterns three new techniques were derived that produced good speedups when manually applied to our benchmark codes. More importantly, these parallelization methode can be implemented in a parallelizing compiler and can be applied automatically.