Title: MADRE: The Memory-Aware Data Redistribution Engine
Authors: Stephen F. Siegel and Andrew R. Siegel
Abstract:
A new class of algorithms is presented for efficiently carrying out many-to-many parallel data redistribution in a memory-limited environment. Key properties of these algorithms are explored, and their performance is compared using idealized benchmark problems. These algorithms form part of a newly developed MPI-based library MADRE (Memory-Aware Data Redistribution Engine), an open source toolkit designed for easy integration with application codes to improve their performance, portability, and scalability.
Appearing in:
Recent Advances in Parallel Virtual Machine and Message Passing Interface, 15th European PVM/MPI User's Group Meeting, Proceedings, 2008, LNS 5205, pages 218-226.
BibTeX:
@InProceedings{siegel-siegel:2008:madre,
author = "Stephen F. Siegel and Andrew R. Siegel",
title = "{MADRE}: The {M}emory-{A}ware {D}ata {R}edistribution {E}ngine",
pages = {218-226},
crossref = {pvmmpi2008}
}
@Proceedings{pvmmpi2008,
booktitle = "Recent Advances in {P}arallel {V}irtual {M}achine and {M}essage {P}assing {I}nterface, 15th {E}uropean {PVM/MPI} User's Group Meeting, Proceedings",
title = "Recent Advances in {P}arallel {V}irtual {M}achine and {M}essage {P}assing {I}nterface, 15th {E}uropean {PVM/MPI} User's Group Meeting, Proceedings",
publisher = "Springer",
series = "LNCS",
volume = {5205},
year = {2008},
editor = {Alexey Lastovetsky and Tahar Kechadi and Jack Dongarra},
note = "To appear"
}
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