Parallelization of Matrix Partitioning in Hierarchical Matrix Construction on Distributed Memory Systems-Reference-Cited by-同舟云学术

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Parallelization of Matrix Partitioning in Hierarchical Matrix Construction on Distributed Memory Systems

Published:2022 Issue:0 Volume:30 Page:742-754
ISSN:1882-6652
Container-title:Journal of Information Processing
language:en
Short-container-title:Journal of Information Processing

Author:

Bai Zhengyang¹,Hiraishi Tasuku²,Ida Akihiro³,Yasugi Masahiro⁴

Affiliation:

1. Graduate School of Informatics, Kyoto University

2. Department of Information and Computer Science, Faculty of Engineering, Kyoto Tachibana University

3. Research Institute for Value-Added-Information Generation (VAiG), Japan Agency for Marine-Earth Science and Technology (JAMSTEC)

4. Department of Computer Science and Networks, Kyushu Institute of Technology

Publisher

Information Processing Society of Japan

Subject

General Computer Science

Link

https://www.jstage.jst.go.jp/article/ipsjjip/30/0/30_742/_pdf

Reference31 articles.

1. [1] Hackbusch, W.: A sparse matrix arithmetic based on H-matrices. part I: Introduction to H-matrices, Computing, Vol.62, No.2, pp.89-108 (1999).

2. [2] Hackbusch, W. and Khoromskij, B.N.: A sparse H-matrix arithmetic. part II: Application to multi-dimensional problems, Computing, Vol.64, No.1, pp.21-47 (2000).

3. [3] Börm, S., Grasedyck, L. and Hackbusch, W.: Hierarchical matrices, lecture note (2005).

4. [4] Ida, A.: Lattice H-matrices on distributed-memory systems, 2018 IEEE International Parallel and Distributed Processing Symposium (IPDPS), pp.389-398 (May 2018).

5. [5] Hoshino, T., Ida, A., Hanawa, T. and Nakajima, K.: Design of parallel BEM analyses framework for SIMD processors, Shi, Y., Fu, H., Tian, Y., Krzhizhanovskaya, V.V., Lees, M.H., Dongarra, J. and Sloot, P.M.A. (Eds.), Computational Science - ICCS 2018, pp.601-613, Springer International Publishing (2018).

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Construction of Hierarchical Matrix on Distributed Memory Systems using a Task Parallel Language;2022 Tenth International Symposium on Computing and Networking Workshops (CANDARW);2022-11

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