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- W1505267788 abstract "We propose an efficient MFA formulation for mapping unstructured domains to hypercube-connected distributed-memory architectures. In the general MFA formulation, N×P spin variables are maintained and an individual MFA iteration requires Θ(d avg P + P2) time for the mapping of a sparse domain graph with N vertices and average vertex degree of d avg to a parallel architecture with P processors. The proposed hypercube-specific MFA formulation asymptotically reduces the number of spin variables and the computational complexity of an individual MFA iteration to Nlg2P and Θ(d avg lg2P+Plg2P), respectively, by exploiting the topological properties of hypercubes." @default.
- W1505267788 created "2016-06-24" @default.
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- W1505267788 date "1995-01-01" @default.
- W1505267788 modified "2023-09-27" @default.
- W1505267788 title "An efficient mean field annealing formulation for mapping unstructured domains to hypercubes" @default.
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- W1505267788 doi "https://doi.org/10.1007/3-540-60321-2_9" @default.
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