Proceedings of the 2018 International Conference on Computer Modeling, Simulation and Algorithm (CMSA 2018)

A Comparative Study on NoC Transpose Traffic

Authors
Minghua Tang, Jing Lin
Corresponding Author
Minghua Tang
Available Online April 2018.
DOI
10.2991/cmsa-18.2018.38How to use a DOI?
Keywords
NoC; routing algorithm; traffic scenario
Abstract

In the research of Network-on-Chip (NoC), network performance is evaluated by a lot of simulations. In these simulations, traffic scenarios play an important role. A wide range of traffic scenarios, such as uniform random, transpose, tornado, etc. have been considered. However, there is lack of comparative study of these traffic scenarios. In this paper, simulations are carried out under a wide range of traffic scenarios. The simulation results show that if a routing has good performance under both transpose1 and transpose2 traffics then it will not have poor performance under any other traffic scenario, with high probability.

Copyright
© 2018, 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 2018 International Conference on Computer Modeling, Simulation and Algorithm (CMSA 2018)
Series
Advances in Intelligent Systems Research
Publication Date
April 2018
ISBN
10.2991/cmsa-18.2018.38
ISSN
1951-6851
DOI
10.2991/cmsa-18.2018.38How to use a DOI?
Copyright
© 2018, 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  - Minghua Tang
AU  - Jing Lin
PY  - 2018/04
DA  - 2018/04
TI  - A Comparative Study on NoC Transpose Traffic
BT  - Proceedings of the 2018 International Conference on Computer Modeling, Simulation and Algorithm (CMSA 2018)
PB  - Atlantis Press
SP  - 165
EP  - 168
SN  - 1951-6851
UR  - https://doi.org/10.2991/cmsa-18.2018.38
DO  - 10.2991/cmsa-18.2018.38
ID  - Tang2018/04
ER  -