Exploitation of symbolic information in interprocedural dependence analysis
Parallel Computing
Advances in Engineering Software
Parallel unsteady turbo-pump simulations for liquid rocket engines
Proceedings of the 2000 ACM/IEEE conference on Supercomputing
Parallelisation of a novel 3D hybrid structured/unstructured grid CFD production code
HPCN Europe '95 Proceedings of the International Conference and Exhibition on High-Performance Computing and Networking
WOMPAT'04 Proceedings of the 5th international conference on OpenMP Applications and Tools: shared Memory Parallel Programming with OpenMP
Elastic computing: A portable optimization framework for hybrid computers
Parallel Computing
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The shared-memory programming model can be an effective way to achieve parallelism on shared memory parallel computers. Historically however, the lack of a programming standard using directives and the limited scalability have affected its take-up. Recent advances in hardware and software technologies have resulted in improvements to both the performance of parallel programs with compiler directives and the issue of portability with the introduction of OpenMP. In this study, the Computer Aided Parallelisation Toolkit has been extended to automatically generate OpenMP-based parallel programs with nominal user assistance. We categorize the different loop types and show how efficient directives can be placed using the toolkit's in-depth interprocedural analysis. Examples are taken from the NAS parallel benchmarks and a number of real-world application codes. This demonstrates the great potential of using the toolkit to quickly parallelise serial programs as well as the good performance achievable on up to 300 processors for hybrid message passing-directive parallelisations.