Implementing the beam and warming method on the hypercube
C3P Proceedings of the third conference on Hypercube concurrent computers and applications - Volume 2
Efficient implementation of a 3-dimensional ADI method on the iPSC/860
Proceedings of the 1993 ACM/IEEE conference on Supercomputing
Using integer sets for data-parallel program analysis and optimization
PLDI '98 Proceedings of the ACM SIGPLAN 1998 conference on Programming language design and implementation
High performance Fortran compilation techniques for parallelizing scientific codes
SC '98 Proceedings of the 1998 ACM/IEEE conference on Supercomputing
Code generation for multiple mappings
FRONTIERS '95 Proceedings of the Fifth Symposium on the Frontiers of Massively Parallel Computation (Frontiers'95)
An Evaluation of Data-Parallel Compiler Support for Line-Sweep Applications
Proceedings of the 2002 International Conference on Parallel Architectures and Compilation Techniques
Generalized Multipartitioning for Multi-Dimensional Arrays
IPDPS '02 Proceedings of the 16th International Parallel and Distributed Processing Symposium
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Multipartitioning is a skewed-cyclic block distribution that yields better parallel efficiency and scalability for line-sweep computations than traditionalb lock partitionings. This paper describes extensions to the Rice dHPF compiler for High Performance Fortran that enable it to support multipartitioned data distributions and optimizations that enable dHPF to generate efficient multipartitioned code. We describe experiments applying these techniques to parallelize serial versions of the NAS SP and BT application benchmarks and show that the performance of the code generated by dHPF is approaching that of hand-coded parallelizations based on multipartitioning.