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. © 2008 Springer-Verlag Berlin Heidelberg.
Cite
CITATION STYLE
Siegel, S. F., & Siegel, A. R. (2008). MADRE: The memory-aware data redistribution engine. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5205 LNCS, pp. 218–226). https://doi.org/10.1007/978-3-540-87475-1_31
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