.png){kind=icon}
.png){kind=icon}
Return
MADRE: THE MEMORY-AWARE DATA REDISTRIBUTION ENGINE
.png){kind=icon}
PRE
AI
DOI：10.1177/1094342009359016.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
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 (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 application programming interface 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.
Keywords:
MPI
parallel programming
redistribution
collective communication
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
2.5
Papers:
1.1K
Citations:
1.3K