Abstract
A new mapping algorithm is proposed based on Artificial Bee Colony (ABC) model to solve the problem of energy aware mapping optimization in Network-on-Chip (NoC) design. The optimal mapping result can be achieved by transmission of the information among various individuals. The comparison of the proposed algorithm with Genetic Algorithm (GA) and Max-Min Ant System (MMAS) based mapping algorithm shows that the new algorithm has lower energy consumption and faster convergence rate. Simulations are carried out and the results show the ABC based method could save energy by 15.5% in MMS, 5.1% in MPEG-4 decoder and 12.9% in VOPD compared to MMAS, respectively.
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Deng, Z., Gu, H., Feng, H., Shu, B. (2011). Artificial Bee Colony Based Mapping for Application Specific Network-on-Chip Design. In: Tan, Y., Shi, Y., Chai, Y., Wang, G. (eds) Advances in Swarm Intelligence. ICSI 2011. Lecture Notes in Computer Science, vol 6728. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21515-5_34
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DOI: https://doi.org/10.1007/978-3-642-21515-5_34
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