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Top-tier parallel computing clusters continue to accumulate more and morecomputational power with more and better CPUs and Networks. This allows,especially for environmental simulations, computations with larger domain sizesand better resolution. One of the challenges becoming increasingly important isthe decomposition and distribution of the overall work load. State-of-the-artparallel codes usually use solutions that involve complete knowledge of thedomain topology, which will lead to communication and memory bottlenecks whencomputing very large domains. To meet this challenge, the authors propose a newstrategy for decentralised domain management, based on a proven hierarchic datastructure. On the way of developing a framework where individual sub-domainsonly have local knowledge of their surroundings, this contribution describesthe communication patterns used in ensuring a consistent domain, without theneed for expensive global broadcast messages. Furthermore, the routinesnecessary to deal with adaptive changes in domain topology, due to refinement,coarsening and migration of sub-domains to different computational resources,are discussed in detail.

Ensuring domain consistency in an adaptive framework with distributed topology for fluid flow simulations