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Titlebook: Recent Advances in Parallel Virtual Machine and Message Passing Interface; 16th European PVM/MP Matti Ropo,Jan Westerholm,Jack Dongarra Con

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楼主: LEVEE
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Towards an Efficient Process Placement Policy for MPI Applications in Multicore Environmentsboth shared-memory and network communication, an adequate placement policy is a crucial step to improve applications performance. As a case study, we show the results obtained for several NAS computing kernels and explain how the policy influences overall performance. In particular, we found out tha
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VolpexMPI: An MPI Library for Execution of Parallel Applications on Volatile NodesPI that is designed to enable seamless forward application progress in the presence of frequent node failures as well as dynamically changing networks speeds and node execution speeds. Process replication is employed to provide robustness in such volatile environments. The central challenge in Volpe
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0302-9743 ine and Message Passing Interface, EuroPVM/MPI 2009, held in Espoo, Finland, September 7-10, 2009. The 27 papers presented were carefully reviewed and selected from 48 submissions. The volume also includes 6 invited talks, one tutorial, 5 poster abstracts and 4 papers from the special session on cur
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Real-Time Message Compression in Softwareages because network utilization is relatively good with large message sizes. Yet, large messages dominate the overall message makeup and communication time in many applications. For example, in simulation codes it is typical to transfer a significant amount of floating-point data between compute nodes after each time step.
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Formal Verification for Scientific Computing: Trends and Progressr simulation. Reports on simulation-based research often say little about the qualities of the software used, or what was done to ascertain its correctness. Sometimes the software is not even made available to the public; but even when it is, how many would bother to check it, and how would they go about doing so?
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Processing MPI Datatypes Outside MPI routines. We show the use of MPITypes in three examples: copying data between user buffers and a “pack” buffer, encoding of data in a portable format, and transpacking. Our experimental evaluation shows that the implementation achieves rates comparable to existing MPI implementations.
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