Titlebook: Shared Memory Parallel Programming with Open MP; 5th International Wo Barbara M. Chapman Conference proceedings 2005 Springer-Verlag Berlin

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An Evaluation of Auto-Scoping in OpenMP,he scoping of variables that are not explicitly classified as shared, private or reduction. While this new feature would be useful and powerful, its implementation would rely on automatic parallelization technology, which has been shown to have significant limitations. In this paper, we implement su

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Efficient Implementation of OpenMP for Clusters with Implicit Data Distribution,o GA is described. GA requires a data distribution; we do not expect the user to supply this; rather, we show how we perform data distribution and work distribution according to OpenMP static loop scheduling. An inspector-executor strategy is employed for irregular applications in order to gather in

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Runtime Adjustment of Parallel Nested Loops,important source of parallelism. In this paper we present an automatic mechanism to dynamically detect the best way to exploit the parallelism when having nested parallel loops. This mechanism is based on the number of threads, the problem size, and the number of iterations on the loop. To do that,

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Efficient Implementation of OpenMP for Clusters with Implicit Data Distribution, new directive INVARIANT is proposed to provide information about the dynamic scope of data access patterns. This directive can help us generate efficient codes for irregular applications using the inspector-executor approach. Our experiments show promising results for the corresponding regular and irregular GA codes.

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Runtime Adjustment of Parallel Nested Loops, it. We have implemented this mechanism inside the IBM XL runtime library. Evaluation shows that our mechanism dynamically adapts the parallelism generated to the application and runtime parameters, reaching the same speedup as the best static parallelization (with a priori information).

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Structure and Algorithm for Implementing OpenMP Workshares,ze the data within a control block, how to improve barrier performance and how to handle implicit barrier and nowait situations. Finally, we discuss the performance of this implementation focusing on the EPCC benchmark.

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