Efficient MPI parallel interpolative decomposition

Efficient MPI parallel interpolative decomposition
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DOI:
10.1109/icmmt.2016.7762450
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发表时间:
2016-06
期刊:
2016 IEEE International Conference on Microwave and Millimeter Wave Technology (ICMMT)
影响因子:
--
通讯作者:
Si-Lu Huang;Hang Xu;Xiao-Min Pan;X. Sheng
Si-Lu Huang;Hang Xu;Xiao-Min Pan;X. Sheng
中科院分区:
其他
文献类型:
--
作者:
Si-Lu Huang;Hang Xu;Xiao-Min Pan;X. Sheng

文献摘要

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插值分解(ID)已被用来降低矩阵低秩近似的计算成本,例如具有许多右侧的矩量法(MoM)系统。然而,当问题规模变得非常大时,内存需求可能会成为ID的瓶颈。为了缓解这一困难,提出了ID的并行方案。已经进行了数值实验来验证所提出的并行方案的效率。
The interpolative decomposition (ID) has been employed to reduce the computational cost for low-rank approximation of matrices, such as the method of moments (MoM) system with many right-hand-sides. However, the memory requirement may be the bottleneck of the ID when the scale of the problem becomes very large. A parallel scheme of the ID is proposed to alleviate the difficulty. Numerical experiments have been conducted to validate efficiency of the proposed parallel scheme.