Compile-time performance prediction of HPF/Fortran 90D

Manish Parashar

Research output: Contribution to journalArticlepeer-review

6 Scopus citations


A novel interpretative approach for accurate and cost-effective performance prediction in high-performance computing (HPC) systems is described. An extensive characterization scheme composes the system and application components of the HPC area into well-defined parameters. An interpreter engine describes the performance of the composed application in terms of the parameters exported by the system. A source-driven High-Performance Fortran (HPF)/Fortran 90D performance prediction framework is implemented based on the interpretative approach. The numerical results via the benchmark kernels and applications from the Northeast Parallel Architectures Center HPF/Fortran 90D Benchmark Suite verify the accuracy, utility, and usability of the performance prediction framework.

Original languageEnglish (US)
Pages (from-to)57-73
Number of pages17
JournalIEEE Parallel and Distributed Technology
Issue number1
StatePublished - Mar 1996
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computational Theory and Mathematics
  • Electrical and Electronic Engineering


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