Parallel Algorithms for Solving Large Sparse Linear Equations
Authors
Jingzhu Li, Peng Zou, Qingbo Wu
Corresponding Author
Jingzhu Li
Available Online April 2013.
- DOI
- 10.2991/3ca-13.2013.40How to use a DOI?
- Keywords
- Large sparse linear equations; Block Lanczos; Block Wiedemann; Parallel Computing;
- Abstract
To optimize the Block Widemann and Block Lancos algorithm is every important in solving large sparse systems in many engineering computing topic, so the parallel method of these two algorithms is built. This paper designs two different types of data parallel based on the original parallelism level and parallel scalability of two algorithms, and finally achieve a more efficient way for solving the problems. At last, we analysis the computing complexity and time cost, and gave a strategy for choosing the algorithms in different computing environment etc. based on the evaluation.
- Copyright
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Jingzhu Li AU - Peng Zou AU - Qingbo Wu PY - 2013/04 DA - 2013/04 TI - Parallel Algorithms for Solving Large Sparse Linear Equations BT - Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation PB - Atlantis Press SP - 157 EP - 160 SN - 1951-6851 UR - https://doi.org/10.2991/3ca-13.2013.40 DO - 10.2991/3ca-13.2013.40 ID - Li2013/04 ER -