Research on Network-on-Chip Synthesis Flow Based on Hybrid Optimization Mapping Algorithm

Authors

Junyi Li, 1. Guangdong Polytechnic Institute, Guangzhou 510091, China; ;
Yijun Liu, 2. Guangdong University of Technology, Guangzhou 510006, China;
Le Jianliang, 2. Guangdong University of Technology, Guangzhou 510006, China;

Abstract

Abstract: To solve the problem of particle swarm optimization algorithm, which is easy to fall into local optimum in network on chip mapping, a hybrid optimization mapping Algorithm based on particle swarm optimization and genetic algorithm was proposed. It implemented GA and PSO separately with two groups, by the superior individuals from GA algorithm instead of the initial random particles from PSO algorithm, which not only maintained the diversity of the group but also improved search efficiency. Simulation results based on NS-2 show that the Network-on-Chip from the automatic generation tools have a good performance in network latency, throughput, and link bandwidth optimization comparing the random mapping under the same amount of computation scale.

Recommended Citation

Li, Junyi; Liu, Yijun; and Jianliang, Le (2020) "Research on Network-on-Chip Synthesis Flow Based on Hybrid Optimization Mapping Algorithm," Journal of System Simulation: Vol. 29: Iss. 5, Article 28.
DOI: 10.16182/j.issn1004731x.joss.201705028
Available at: https://dc-china-simulation.researchcommons.org/journal/vol29/iss5/28

First Page

1141

Revised Date

2015-07-13

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201705028

Last Page

1146

CLC

TP273+.5

Recommended Citation

Li Junyi, Liu Yijun, Le Jianliang. Research on Network-on-Chip Synthesis Flow Based on Hybrid Optimization Mapping Algorithm[J]. Journal of System Simulation, 2017, 29(5): 1141-1146.

DOI

10.16182/j.issn1004731x.joss.201705028