分配问题的大规模并行拍卖算法

[1990 Proceedings] The Third Symposium on the Frontiers of Massively Parallel Computation Pub Date : 1990-10-08 DOI:10.1109/FMPC.1990.89444

J. Wein, S. Zenios

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引用次数: 35

摘要

D.P. Bertsekas拍卖算法大规模并行实现的替代方法(参见Ann。③。Res.， vol.14, p.105- 23,1988)对连接机CM2进行了讨论。最有效的实现是混合Jacobi/Gauss-Seidel实现。它利用了两种不同级别的并行性以及在它们之间进行数据通信的有效方式，而无需跨超立方体网络执行一般的路由器操作。对实现进行经验评估，解决大型、密集的问题。

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Massively parallel auction algorithms for the assignment problem

Alternative approaches to the massively parallel implementation of D.P. Bertsekas' auction algorithm (see Ann. Oper. Res., vol.14, p.105-23, 1988) on the Connection Machine CM2 are discussed. The most efficient implementation is a hybrid Jacobi/Gauss-Seidel implementation. It exploits two different levels of parallelism and an efficient way of communicating the data between them without the need to perform general router operations across the hypercube network. The implementations are evaluated empirically, solving large, dense problems.<>

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[1990 Proceedings] The Third Symposium on the Frontiers of Massively Parallel Computation

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