Abstract

High Performance Fortran (HPF) is a data-parallel language that provides a high-level interface for programming scientific applications, while delegating to the compiler the task of generating explicitly parallel message-passing programs. This paper provides an overview of HPF compilation and runtime technology for distributed-memory architectures, and deals with a number of topics in some detail. In particular, we discuss distribution and alignment processing, the basic compilation scheme and methods for the optimization of regular computations. A separate section is devoted to the transformation and optimization of independent loops with irregular data accesses. The paper concludes with a discussion of research issues and outlines potential future development paths of the language.

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