Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)

Fast Parallel Compositon of Dunhuang Murals based on Matrix Tearing

Authors
Ming Chen, Yong-Chao Wang, Lei Zhao, Duan-Qing Xu
Corresponding Author
Ming Chen
Available Online December 2016.
DOI
10.2991/icwcsn-16.2017.34How to use a DOI?
Keywords
dunhuang mural; comosition; parallel
Abstract

In this paper we have developed a robust scalable hybrid scheme for Fast Parallel compositon of Dunhuang murals based on Matrix Tearing. The large cost associated with solution of partitioned linear systems, which is required to perform the matrix-vector multiplication, was avoided by presenting a scheme that requires only the solution of tiny linear systems of the same size as that of the overlap between two partitions. The difficulties associated with the multiple partition approach are resolved by using the reordering.

Copyright
© 2017, 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/).

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Volume Title
Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)
Series
Advances in Computer Science Research
Publication Date
December 2016
ISBN
10.2991/icwcsn-16.2017.34
ISSN
2352-538X
DOI
10.2991/icwcsn-16.2017.34How to use a DOI?
Copyright
© 2017, 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  - Ming Chen
AU  - Yong-Chao Wang
AU  - Lei Zhao
AU  - Duan-Qing Xu
PY  - 2016/12
DA  - 2016/12
TI  - Fast Parallel Compositon of Dunhuang Murals based on Matrix Tearing
BT  - Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)
PB  - Atlantis Press
SP  - 156
EP  - 158
SN  - 2352-538X
UR  - https://doi.org/10.2991/icwcsn-16.2017.34
DO  - 10.2991/icwcsn-16.2017.34
ID  - Chen2016/12
ER  -