Overlapping communication and computation with high level communication routines

Overlapping communication and computation with high level communication routines. Hoefler, T. & Lumsdaine, A. In Proceedings CCGRID 2008 - 8th IEEE International Symposium on Cluster Computing and the Grid, pages 572-577, 2008.

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Collective operations and non-blocking point-to-point operations are two important parts of MPI that each provide important performance and programmability benefits. Although non-blocking collective operations are an obvious extension to MPI, there have been no comprehensive studies of this functionality. This dissertation will study non-blocking collective operations, integrating theory, practice, and application. We use a well-understood network model to found our theoretical analyses and we realize our communication operations as a portable library layered on MPI. A real-world quantum-mechanical application is used as a deployment and evaluation vehicle for our approach. © 2008 IEEE.

@inproceedings{
 title = {Overlapping communication and computation with high level communication routines},
 type = {inproceedings},
 year = {2008},
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 abstract = {Collective operations and non-blocking point-to-point operations are two important parts of MPI that each provide important performance and programmability benefits. Although non-blocking collective operations are an obvious extension to MPI, there have been no comprehensive studies of this functionality. This dissertation will study non-blocking collective operations, integrating theory, practice, and application. We use a well-understood network model to found our theoretical analyses and we realize our communication operations as a portable library layered on MPI. A real-world quantum-mechanical application is used as a deployment and evaluation vehicle for our approach. © 2008 IEEE.},
 bibtype = {inproceedings},
 author = {Hoefler, T and Lumsdaine, A},
 doi = {10.1109/CCGRID.2008.15},
 booktitle = {Proceedings CCGRID 2008 - 8th IEEE International Symposium on Cluster Computing and the Grid}
}

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