Energy aware routing of multi-level Network-on-Chip traffic

The emergence of Network-on-Chip (NoC) as a communication paradigm for Multi-Processor System-on-Chips (MPSoCs) significantly exacerbates the need to provide a methodology that optimizes the energy consumption of the overall system. This is especially important when factoring in current Network-on-Chip advances which have multiple communication media such as on-chip wireless or nano-photonics links, hybrid with traditional wired links. All of these media have different energy profiles, and if not taken into consideration the system will incur a higher power consumption throughout the runtime of the application. In this work, the case for EDP (energy-delay product) optimization between different levels of a multi-level Network-on-Chip is presented. Using a dynamic, energy aware algorithm, the EDP improvement is compared to a multi-level Network-on-Chip using a statically optimized routing. The proposed routing algorithm handles the different types of energy-delay profiles of multiple links. The end product is a methodology that lowers the overall energy consumption by optimizing the energy profile of the Network-on-Chip while also minimizing the network delay.