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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-baseddoi:10.1145/2287076.2287103 dblp:conf/hpdc/LifflanderKK12 fatcat:wchqotv6vzhtpnhh2hhuychp2u