A Particle Swarm Optimization Approach for Synthesizing Application-Specific Hybrid Photonic Networks-on-Chip

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Provided by: Institute of Electrical & Electronic Engineers
Format: PDF
Hybrid nanophotonic-electric Network-on-Chip (NoC) has been recently proposed to overcome the challenges of significant power dissipation and high data transfer latencies in traditional electrical NoCs. However, with increasing embedded application complexity, hardware dependencies, and performance variability, optimizing hybrid nanophotonic-electric NoCs requires traversing a massive design space. In this paper, the authors have addressed this problem to the best of their knowledge. They present the first effort in this direction. In this paper, they propose an evolutionary algorithm framework to synthesize hybrid photonic NoCs by utilizing Particle Swarm Optimization (PSO) and Simulated Annealing (SA).
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