Title :
High-Performance Fortran and possible extensions to support conjugate gradient algorithms
Author :
Dincer, Kivanc ; Fox, Geoffrey C. ; Hawick, Kenneth
Author_Institution :
Sch. of Comput. & Inf. Sci., Syracuse Univ., NY, USA
Abstract :
Evaluates the High Performance Fortran (HPF) language for the compact expression and efficient implementation of conjugate-gradient iterative matrix-solvers on high-performance computing and communications (HPCC) platforms. We discuss the use of intrinsic functions, data distribution directives and explicitly parallel constructs to optimize performance by minimizing communications requirements in a portable manner. We focus on implementations using the existing HPF definitions but also discuss issues arising that may influence a revised definition for HPF-2. Some of the codes discussed are available on the World Wide Web at http://www.npac.syr.edu/hpfa/, along with other educational and discussion material related to applications in HPF.
Keywords :
FORTRAN; conjugate gradient methods; mathematics computing; matrix algebra; parallel languages; public domain software; software portability; HPF definitions; HPF-2; High Performance Fortran; World Wide Web; communications requirements minimization; compact expression; conjugate gradient algorithms; data distribution directives; efficient implementation; explicitly parallel constructs; high-performance communications; high-performance computing platforms; intrinsic functions; iterative matrix-solvers; language extensions; performance optimization; Character generation; Concurrent computing; Distributed computing; Equations; Fluid dynamics; Iterative algorithms; Physics computing; Program processors; Programming profession; Sparse matrices;
Conference_Titel :
High Performance Distributed Computing, 1996., Proceedings of 5th IEEE International Symposium on
Conference_Location :
Syracuse, NY, USA
Print_ISBN :
0-8186-7582-9
DOI :
10.1109/HPDC.1996.546175
