This paper presents a parallel sorting algorithm based on neural network derived from the harmony theory neural network.

文中从和谐理论神经网络派生一种新的神经网络模型，并以该模型为基础提出了一种新的并行分类算法。

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Emad Omara's parallel merge sort algorithm assumes that you will have full access to the machine's CPUs for the duration of the sorting operation.

Emad Omara的并行合并排序算法假设了在排序操作的过程中(操作者)对计算机的所有CPU具有完全的访问权限。

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This paper discusses the parallel merging sorting algorithm for hypercube architecture. Based on the analysis of communication complexity, the speedup of this algorithm is derived.

本文讨论超立方体结构上的并行归并排序算法，着重分析算法的通信复杂性，在此基础上推导算法的加速比。

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