Evaluating the performance of one-dimensional chaotic maps in the network-on-chip mapping problem

Fard, Golnar Gharooni; Khademzade, Ahmad; Moein-darbari, Fahime

doi:10.1587/elex.6.811

Cited by 7 publications

(2 citation statements)

References 9 publications

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“…*, No. *, [1][2][3][4][5][6][7][8] where E t i ,t j bit denotes the energy consumption for sending one bit of data from t i to t j , E Sbit and E Lbit represent the energy consumed by the switches and the links, respectively. And (n hops + 1) is the number of routers that a data traverses from the source tile to the destination tile.…”

Section: Energy Consumptionmentioning

confidence: 99%

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WOAGA: A new metaheuristic mapping algorithm for large-scale mesh-based NoC

Wang

Sun

et al. 2018

IEICE Electron. Express

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The mapping of IP cores to the topology is one of the most important steps for NoC (Network-on-Chip) design. Metaheuristic algorithms (MAs) are widely employed since the mapping is an NP-hard problem. Most mapping algorithms only consider small-scale NoC and ignore stability. In this letter, a stable metaheuristic algorithm called WOAGA, based on Whale Optimization Algorithm (WOA) and Genetic Algorithm (GA), is proposed for large-scale NoC mapping to achieve the low-energy consumption and stability. In the proposed algorithm, irregular crossover and mutation operations are integrated into the modified WOA. A perturbation is utilized to jump out of local optima effectively. Simulation results show that the proposed algorithm is more stable and achieve better solution with energy consumption reduced significantly.

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Section: Energy Consumptionmentioning

confidence: 99%

“…The mapping of NoC is a well-known NP-hard problem. Therefore, various researchers have presented metaheuristic or hybrid metaheuristic algorithms to solve the mapping optimization [3]. A two-step GA is proposed for mapping the applications onto a 2D mesh-based NoC [4], which only takes execution time into account.…”

Section: Introductionmentioning

confidence: 99%