Adaptive Algorithm based on Renyi’s Entropy for Task Mapping in a Hierarchical Wireless Network-on-Chip Architecture
Maribell Sacanamboy, Freddy Bolaños, Álvaro Bernal · Computación y Sistemas · 2018
This paper describes the use of Renyi’s entropy as a way to improve the convergence time of the Population-Based Incremental Learning (PBIL) optimization algorithm. As a case study, the algorithm was used in a hierarchical wireless network-on-chip (WiNoC) for the sake of performing the optimal task mapping of applications. Two versions of Renyi’s entropy are used and compared to the more traditional Shannon formulation. The obtained results are promising and suggest that Renyi’s entropy may help to reduce the PBIL convergence time, without degrading the quality of the found solutions.