Titlebook: OpenMP Shared Memory Parallel Programming; International Worksh Rudolf Eigenmann,Michael J. Voss Conference proceedings 2001 Springer-Verla

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Defining and Supporting Pipelined Executions in OpenMP actions in the program that make the program difficult to understand and maintain. The paper focuses on the runtime support required to support this feature and the code generated by the NanosCompiler.

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An Integrated Performance Visualizer for MPI/OpenMP Programsof Energy have partnered together to build such a tool, VGV. VGV is designed for doing scalable performance analysis - that is, to make the performance analysis process qualitatively the same for small cluster machines as it is for the largest ASCI systems. This paper describes VGV and gives a

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OmniRPC: A Grid RPC Facility for Cluster and Global Computing in OpenMPX thread implementation of the Omni OpenMP compiler which allows multi-threaded execution of OpenMP programs by POSIX threads even in a single processor. Multiple outstanding requests of OmniRPC calls in OpenMP work-sharing construct are dispatched to different remote computers to exploit network-wide parallelism.

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Conference proceedings 20011 at Purdue University, West Lafayette, Indiana, USA. It brought together designers, users, and researchers of the OpenMP application programming int- face. OpenMP has emerged as the standard for shared memory parallel progr- ming. For the rst time, it is possible to write parallel programs that are

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