Interpreting the performance of HPF/Fortran 90D
Manish Parashar, Salim Hariri, Tomasz A. Haupt, Geoffrey Fox · Conference on High Performance Computing (Supercomputing) · 1994
In this paper we present a novel interpretive approach for accurate and cost-effective performance prediction in a high performance computing environment, and describe the design of a source-driven HPF/Fortran 90D performance prediction framework based on this approach. The performance prediction framework has been implemented as part of a HPF/Fortran 90D application development environment. A set of benchmarking kernels and application codes are used to validate the accuracy, utility, usability, and cost-effectiveness of the performance prediction framework. The use of the framework for selecting appropriate compiler directives and for application performance debugging is demonstrated.