SUIF Explorer: an interactive and interprocedural parallelizer

  • Authors:

  • Shih-Wei Liao;Amer Diwan;Robert P. Bosch, Jr.;Anwar Ghuloum;Monica S. Lam

  • Affiliations:

  • Computer Systems Laboratory, Stanford University, CA;Computer Systems Laboratory, Stanford University, CA;Computer Systems Laboratory, Stanford University, CA;Computer Systems Laboratory, Stanford University, CA;Computer Systems Laboratory, Stanford University, CA

  • Venue:
  • Proceedings of the seventh ACM SIGPLAN symposium on Principles and practice of parallel programming
  • Year:
  • 1999

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Abstract

The SUIF Explorer is an interactive parallelization tool that is more effective than previous systems in minimizing the number of lines of code that require programmer assistance. First, the interprocedural analyses in the SUIF system is successful in parallelizing many coarse-grain loops, thus minimizing the number of spurious dependences requiring attention. Second, the system uses dynamic execution analyzers to identify those important loops that are likely to be parallelizable. Third, the SUIF Explorer is the first to apply program slicing to aid programmers in interactive parallelization. The system guides the programmer in the parallelization process using a set of sophisticated visualization techniques.This paper demonstrates the effectiveness of the SUIF Explorer with three case studies. The programmer was able to speed up all three programs by examining only a small fraction of the program and privatizing a few variables.