Optimizing Distributed Load Balancing for Workloads with Time-Varying Imbalance

Jonathan Lifflander,Nicole Lemaster Slattengren,Philippe P. Pébaÿ,Phil Miller,Francesco Rizzi,Matthew T. Bettencourt

2021 IEEE International Conference on Cluster Computing (CLUSTER)（2021）

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Abstract

This paper explores dynamic load balancing algorithms used by asynchronous many-task (AMT), or ‘taskbased’, programming models to optimize task placement for scientific applications with dynamic workload imbalances. AMT programming models use overdecomposition of the computational domain. Overdecompostion provides a natural mechanism for domain developers to expose concurrency and break their comp...

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Key words

Protocols,Heuristic algorithms,Computational modeling,Clustering algorithms,Programming,Load management,Dynamic programming

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