18th International Parallel and Distributed Processing Symposium (IPDPS'04) - Workshop 13
Automatic Parallelization and Optimization for Irregular Scientific Applications
Santa Fe, New Mexico
April 26-April 30
ISBN: 0-7695-2132-0
In this paper, some automatic parallelization and optimization techniques for irregular scienti.c computing are proposed. These techniques include communication cost reduction for irregular loop partitioning, interprocedural optimization techniques for communication preprocessing when the irregular code has the procedure call, global vs. local indirection arrays remapping methods, and OpenMP directive extension for irregular computing.
Index Terms:
Parallelizing compilers, Irregular scientific application, Communication optimization, Loop transformation, Loop partitioning, Interprocedural optimization, OpenMP
Citation:
Minyi Guo, "Automatic Parallelization and Optimization for Irregular Scientific Applications," ipdps, vol. 14, pp.228a, 18th International Parallel and Distributed Processing Symposium (IPDPS'04) - Workshop 13, 2004