Proceedings of the International Conference on Communication and Signal Processing 2016 (ICCASP 2016)

A New Parallel Algorithm for EREW PRAM Matrix Multiplication

Authors
S. Vollala, K. Geetha, A. Joshi, P. Gayathri
Corresponding Author
S. Vollala
Available Online December 2016.
DOI
10.2991/iccasp-16.2017.103How to use a DOI?
Keywords
EREW; PRAM; Parallel Algorithms; Matrix Multiplication; Theoretical Time Complexity
Abstract

This work presents a new parallel matrix multiplication algorithm using an exclusive-read and exclusive-write (EREW), parallel random access memory (PRAM) model for a fixed number of processors. This algorithm used for computing the matrix multiplication analyses the logical pattern that exists for accessing the elements of the matrix efficiently. The proposed algorithm PEMM (Parallel EREW algorithm for Matrix Multiplication) works with the time complexity of O(n), but takes less number of iterations when compared with the existing work. It can also run on parallel machines other than the EREW PRAM.

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 International Conference on Communication and Signal Processing 2016 (ICCASP 2016)
Series
Advances in Intelligent Systems Research
Publication Date
December 2016
ISBN
10.2991/iccasp-16.2017.103
ISSN
1951-6851
DOI
10.2991/iccasp-16.2017.103How 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  - S. Vollala
AU  - K. Geetha
AU  - A. Joshi
AU  - P. Gayathri
PY  - 2016/12
DA  - 2016/12
TI  - A New Parallel Algorithm for EREW PRAM Matrix Multiplication
BT  - Proceedings of the International Conference on Communication and Signal Processing 2016 (ICCASP 2016)
PB  - Atlantis Press
SP  - 735
EP  - 741
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccasp-16.2017.103
DO  - 10.2991/iccasp-16.2017.103
ID  - Vollala2016/12
ER  -