A comparative study of automatic vectorizing compilers

  • David Levine
  • , David Callahan
  • , Jack Dongarra

Research output: Contribution to journalArticlepeer-review

30 Scopus citations

Abstract

We compare the capabilities of several commercially available, vectorizing Fortran compilers using a test suite of Fortran loops. We present the results of compiling and executing these loops on a variety of supercomputers, mini-supercomputers, and mainframes.

Original languageEnglish
Pages (from-to)1223-1244
Number of pages22
JournalParallel Computing
Volume17
Issue number10-11
DOIs
StatePublished - Dec 1991
Externally publishedYes

Funding

* This work was supported by the Applied Mathematical Sciences subprogram of the Office of Energy Research, US Department of Energy, under Contract W-31-109-Eng-38. t This work was supported in part by the Applied Mathematical Sciences Research Program, Office of Energy Research, U.S. Department of Energy, under Contract DE-AC05-84OR.21400 and in part by NSF cooperative agreement CCR-8809615.

Keywords

  • FORTRAN loops
  • automatic vectorizing compilers
  • compiler performance model
  • result analysis
  • speedup

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