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

摘要

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.