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Work stealing and persistence-based load balancers for iterative overdecomposed applications
2012
Proceedings of the 21st international symposium on High-Performance Parallel and Distributed Computing - HPDC '12
Applications often involve iterative execution of identical or slowly evolving calculations. Such applications require incremental rebalancing to improve load balance across iterations. In this paper, we consider the design and evaluation of two distinct approaches to addressing this challenge: persistence-based load balancing and work stealing. The work to be performed is overdecomposed into tasks, enabling automatic rebalancing by the middleware. We present a hierarchical persistence-based
doi:10.1145/2287076.2287103
dblp:conf/hpdc/LifflanderKK12
fatcat:wchqotv6vzhtpnhh2hhuychp2u