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Network-on-Chip Design Space Exploration:A Hybrid Approach


Affiliations
1 Department of Information Technology, Institute of Management Technology, Nagpur, India
2 Applied Sciences (Physics) of the Institute, Gwalior, India
3 ABV Institute of Information Technology and Management, Gwalior, India
     

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Network-on-Chip (NoC) has recently emerged as a communication solution for the most System-on-Chip (SoC) design. Design space exploration and performance evaluation are the most essential task in NoC design. In this paper, we adopted a hybrid approach for design space exploration of a NoC architecture having many-many binding between switches and IP’s. In our proposed methodology, we first mapped the target application onto a 2D mesh NoC architecture using Particle Swarm Optimization (PSO) algorithm to optimize energy consumption. Secondly, we bind the switch and core (IP) using genetic algorithm followed by a routing path allocation using PSO. The results show that our framework optimizes substantially the design matrices like energy,link bandwidth for target applications in compare to other frameworks.


Keywords

NoC, Multi-Objective PSO, Design Space Exploration, System Level Design, GA.
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  • Network-on-Chip Design Space Exploration:A Hybrid Approach

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Authors

Rabindra K. Jena
Department of Information Technology, Institute of Management Technology, Nagpur, India
Pankaj Srivastav
Applied Sciences (Physics) of the Institute, Gwalior, India
G. K. Sharma
ABV Institute of Information Technology and Management, Gwalior, India

Abstract


Network-on-Chip (NoC) has recently emerged as a communication solution for the most System-on-Chip (SoC) design. Design space exploration and performance evaluation are the most essential task in NoC design. In this paper, we adopted a hybrid approach for design space exploration of a NoC architecture having many-many binding between switches and IP’s. In our proposed methodology, we first mapped the target application onto a 2D mesh NoC architecture using Particle Swarm Optimization (PSO) algorithm to optimize energy consumption. Secondly, we bind the switch and core (IP) using genetic algorithm followed by a routing path allocation using PSO. The results show that our framework optimizes substantially the design matrices like energy,link bandwidth for target applications in compare to other frameworks.


Keywords


NoC, Multi-Objective PSO, Design Space Exploration, System Level Design, GA.