Pfortran and Co-Array Fortran as Tools for Parallelization of a Large-Scale Scientific Application

Authors:
Piotr Bala;Terry W. Clark
Affiliations:
-;-
Venue:
Euro-Par '00 Proceedings from the 6th International Euro-Par Conference on Parallel Processing
Year:
2000

Citing 3
Cited 0

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Abstract

Parallelization of scientific applications remains a nontrivial task typically requiring some programmer assistance. Key considerations for candidate parallel programming paradigms are portability, efficiency, and intuitive use, at times mutually exclusive features. In this study two similar parallelization tools, Pfortran and Cray's Co-Array Fortran, are discussed in the parallelization of Quantum Dynamics, a complex scientific application.