High Performance Fortran for practical scientific algorithms: An up-to-date evaluation

A suite of High Performance Fortran (HPF) coding examples of practical scientific algorithms are examined in detail, with the idea that on these simple but non-trivial examples, we can fairly well understand issues related to different data distributions, different parallel constructs, and different...

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Bibliographic Details
Published in:Future generation computer systems Vol. 15; no. 3; pp. 343 - 352
Main Author: Ding, Chris H.Q
Format: Journal Article
Language:English
Published: Elsevier B.V 01.04.1999
Subjects:
Array redistribution
Distributed-memory architecture
FFT
HPF
LU factorization
MPI
N-body problem
Parallel programming language
Stencils computation
N-body problem
LU factorization
FFT
MPI
Stencils computation
Array redistribution
Distributed-memory architecture
Parallel programming language
HPF
ISSN:0167-739X, 1872-7115
Online Access:Get full text
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Summary:A suite of High Performance Fortran (HPF) coding examples of practical scientific algorithms are examined in detail, with the idea that on these simple but non-trivial examples, we can fairly well understand issues related to different data distributions, different parallel constructs, and different programming styles (static versus dynamic allocations). Coding examples include 2D stencils solution of PDEs, N-body problem, LU factorization, several vector/matrix library routines, 2D and 3D array redistribution. Performances of HPF codes are compared to hand-written Fortran codes with message passing libraries. From 1997 to 1998, HPF compilers are improved significantly such that HPF codes perform as well as Fortran+MPI codes for all the examples investigated here. However, many important peculiarities of HPF coding still exist.
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ISSN:0167-739X
1872-7115
DOI:10.1016/S0167-739X(98)00079-X