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Malleable model coupling with prediction

Kim, Daihee; Larson, Jay; Chiu, Kenneth


Achieving ultra scalability in coupled multiphysics and multiscale models requires dynamic load balancing both within and between their constituent subsystems. Interconstituent dynamic load balance requires runtime resizing - or malleability - of subsystem processing element (PE) cohorts. We enhance the Malleable Model Coupling Toolkit's Load Balance Manager (LBM) to incorporate prediction of a coupled system's constituent computation times and coupled model global iteration time. The...[Show more]

CollectionsANU Research Publications
Date published: 2012
Type: Conference paper
Source: Proceedings - 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGrid 2012
DOI: 10.1109/CCGrid.2012.20


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