Titlebook: OpenMP Shared Memory Parallel Programming; International Worksh Matthias S. Mueller,Barbara M. Chapman,Michael Vos Conference proceedings 2

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Experiences with the OpenMP Parallelization of DROPS, a Navier-Stokes Solver Written in C++hen University, the most compute intense parts have been tuned and parallelized using OpenMP. The combination of the employed template programming techniques of the C++ programming language and the OpenMP parallelization approach caused problems with many C++ compilers, and the performance of the pa

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A Parallel Structured Ecological Model for High End Shared Memory Computersuse of spatial decomposition for parallelization of these models. Here, we exploit the partitioning of species’ age structures (or layers) as part of an integrated ecosystem simulation on a high-end shared memory computer using OpenMP. As an example, we use a parallel spatially-explicit structured f

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Multi-cluster, Mixed-Mode Computational Modeling of Human Head Conductivityhe human head, based on realistic geometry from segmented MRI up to 256. voxels resolution, is described. A finite difference multi-component alternating direction implicit (ADI) algorithm, parallelized using OpenMP, is used to solve the forward problem calculation describing the electrical field di

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An Evaluation of OpenMP on Current and Emerging Multithreaded/Multicore Processorsmance and mainstream computing markets. In this paper we evaluate the performance of OpenMP applications on these two parallel architectures. We use detailed hardware metrics to identify architectural bottlenecks. We find that the high level of resource sharing in SMTs results in performance complic

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SPEC OpenMP Benchmarks on Four Generations of NEC SX Parallel Vector Systemsility and the comparison between different generations of the same family of NEC SX vector supercomputers. We relate the different performance development of the 11 different applications to different hardware properties of the machine and also to results of the EPCC microbenchmarks. Of special inte

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Performance Evaluation of Parallel Sparse Matrix–Vector Products on SGI Altix3700 linear equations, on a cc-NUMA machine SGI Altix3700. Three storage formats for sparse matrices are evaluated, and scalability is attained by implementations considering the page allocation mechanism of the NUMA machine. Influences of the cache/memory bus architectures on the optimum choice of the

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