Artificial Intelligence and Deep Learning for Computer Network
Sudeshna Chakraborty, Arka Prokash Mazumdar, Jimson Mathew, Rajat Subhra Chakraborty, Sangita Roy
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This book covers various aspects of optimization in design and testing of Network-on-Chip (NoC) based multicore systems. It gives a complete account of the state-of-the-art and emerging techniques for near optimal mapping and test scheduling for NoC-based multicores. The authors describe the use of the Integer Line Programming (ILP) technique for smaller benchmarks and a Particle Swarm Optimization (PSO) to get a near optimal mapping and test schedule for bigger benchmarks. The PSO-based approach is also augmented with several innovative techniques to get the best possible solution. The tradeoff between performance (communication or test time) of the system and thermal-safety is also discussed, based on designer specifications.