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IBM Journal of Research and Development
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OMPI: optimizing MPI programs using partial evaluation
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IEEE Transactions on Parallel and Distributed Systems
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ICPP '02 Proceedings of the 2001 International Conference on Parallel Processing
HPCA '95 Proceedings of the 1st IEEE Symposium on High-Performance Computer Architecture
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IEEE Transactions on Parallel and Distributed Systems
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Journal of Parallel and Distributed Computing
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Journal of Parallel and Distributed Computing
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International Journal of Parallel Programming
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International Journal of Parallel Programming
Message scheduling for array re-decomposition on distributed memory systems
Future Generation Computer Systems
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PARA'06 Proceedings of the 8th international conference on Applied parallel computing: state of the art in scientific computing
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OTM'07 Proceedings of the 2007 OTM confederated international conference on On the move to meaningful internet systems: CoopIS, DOA, ODBASE, GADA, and IS - Volume Part II
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International Journal of Ad Hoc and Ubiquitous Computing
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MTPP'10 Proceedings of the Second Russia-Taiwan conference on Methods and tools of parallel programming multicomputers
Globe'11 Proceedings of the 4th international conference on Data management in grid and peer-to-peer systems
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Service Oriented Computing and Applications
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Message clustering technique towards efficient irregular data redistribution in clusters and grids
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Adaptive communication mechanism for accelerating MPI functions in NoC-based multicore processors
ACM Transactions on Architecture and Code Optimization (TACO)
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Compiled communication has recently been proposed to improve communication performance for clusters of workstations. The idea of compiled communication is to apply more aggressive optimizations to communications whose information is known at compile time. Existing MPI libraries do not support compiled communication. In this paper, we present an MPI prototype, CC-MPI, that supports compiled communication on Ethernet switched clusters. The unique feature of CC-MPI is that it allows the user to manage network resources such as multicast groups directly and to optimize communications based on the availability of the communication information. CC-MPI optimizes one-to-all, one-to-many, all-to-all, and many-to-many collective communication routines using the compiled communication technique. We describe the techniques used in CC-MPI and report its performance.The results show that communication performance of Ethernet switched clusters can be significantly improved through compiled communication.