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- W4237725087 abstract "Cosmology simulations are highly communication-intensive, thus it is critical to exploit topology-aware task mapping techniques for performance optimization. To exploit the architectural properties of multiprocessor clusters (the performance gap between inter-node and intra-node communication as well as the gap between inter-socket and intra-socket communication), we design and develop a hierarchical task mapping scheme for cell-based AMR (Adaptive Mesh Refinement) cosmology simulations, in particular, the ART application. Our scheme consists of two parts: (1) an inter-node mapping to map application processes onto nodes with the objective of minimizing network traffic among nodes and (2) an intra-node mapping within each node to minimize the maximum size of messages transmitted between CPU sockets. Experiments on production supercomputers with 3D torus and fat-tree topologies show that our scheme can significantly reduce application communication cost by up to 50%. More importantly, our scheme is generic and can be extended to many other applications." @default.
- W4237725087 created "2022-05-12" @default.
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- W4237725087 date "2012-11-01" @default.
- W4237725087 modified "2023-10-07" @default.
- W4237725087 title "Hierarchical task mapping of cell-based AMR cosmology simulations" @default.
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- W4237725087 doi "https://doi.org/10.1109/sc.2012.63" @default.
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