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Hierarchical swapped networks: efficient low-degree alternatives to hypercubes and generalized hypercubes

机译:层次交换网络:超立方体和广义超立方体的有效低度替代

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In this paper, we propose a new class of interconnection networks called hierarchical swapped networks (HSNs). We show that some subclasses of HSNs can efficiently emulate hypercubes, or generalized hypercubes, while having node degrees significantly smaller than the emulated networks. In particular, a suitably constructed HSN can emulate a hypercube or generalized hypercube with constant slowdown under the single-dimension communication model and asymptotically optimal slowdown with respect to its node degree under the all-port communication model. As a consequence, we obtain a variety of efficient algorithms on HSNs through emulation, thus proving the versatility of HSN. Some subclasses of HSNs are also shown to have asymptotically optimal diameters with respect to their node degrees. HSNs appear to be attractive low-degree alternatives to hypercubes and generalized hypercubes for general-purpose parallel computers.
机译:在本文中,我们提出了一种新型的互连网络,称为分层交换网络(HSN)。我们表明,HSN的某些子类可以有效地仿真超立方体或广义超立方体,而节点度显着小于仿真网络。特别地,适当构造的HSN可以在单维通信模型下模拟具有恒定减慢的超立方体或广义超立方体,而在全端口通信模型下可以相对于其节点度渐近最优减慢。结果,我们通过仿真获得了关于HSN的各种有效算法,从而证明了HSN的多功能性。 HSN的某些子类还显示出相对于其节点度具有渐近最优直径。对于通用并行计算机,HSN似乎是超多维数据集和广义超多维数据集的有吸引力的低级替代方案。

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