NPAC Technical Report SCCS-727

Application of High Performance Fortran

Geoffrey Fox, Kenneth Hawick, Tom Haupt, Edward Bogucz, Kevin Roe

Submitted July 25 1995


Abstract

We discuss applications where the High Performance Fortran language can be successfully employed for efficient implementations on HPCC and parallel platforms. Examples given are oriented towards applications in Computational Fluid Dynamics and include: the ADI algorithm; the Panel Method and Full matrix dense linear algebra methods; iterative methods for unstructured sparse matrices and teh conjugate gradient algorithm. We also discuss a number of current projects of the Northeast Parallel Architectures Center, including Data Assimilation for weather and climate prediction codes; computing behaviour of colliding binary Black Holes; and some production level CFD codes being ported for NASA. We also describe our HPF Applications world wide web collection of codes and information about HPF.


PostScript version of the paper