Madre: the Memory-Aware Data Redistribution Engine

We report on the development of a new computational framework for efficiently carrying out parallel data redistribution in a limited memory environment. This new library, MADRE (The Memory-Aware Data Redistribution Engine), is an open-source, C/MPI-based toolkit designed for quick and easy integration into application codes that have demanding data migration needs. At the same time, MADRE exposes a lower-level API that greatly facilitates the development and incorporation of new algorithms into the MADRE framework, thus serving as a potential organizing entity for continued research in this area. Finally, we develop, describe, and test in detail several new parallel redistribution algorithms that are incorporated into the MADRE distribution.

• Type: Journal
• Year: 2010
• Where: IJHPCA
• Authors: Stephen F. Siegel, Andrew R. Siegel
• Keywords: Data Redistribution, IJHPCA 2010, MADRE, Parallel Data Redistribution