Optimizing the Use of High Performance Software Libraries

  • Authors:
  • Samuel Z. Guyer;Calvin Lin

  • Affiliations:
  • -;-

  • Venue:
  • LCPC '00 Proceedings of the 13th International Workshop on Languages and Compilers for Parallel Computing-Revised Papers
  • Year:
  • 2000

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Abstract

This paper describes how the use of software libraries, which is prevalent in high performance computing, can benefit from compiler optimizations in much the same way that conventional programming languages do. We explain how the compilation of these informal languages differs from the compilation of more conventional languages. In particular, such compilation requires precise pointer analysis, domain-specific information about the library's semantics, and a configurable compilation scheme. We describe a solution that combines dataflow analysis and pattern matching to perform configurable optimizations.