A New SQP Based Space-Mapping Algorithm for On-Chip Spiral Inductor Optimization

2007 ◽  
Author(s):  
Navid Arbabi ◽  
Mani Najmabadi ◽  
Vijay Devabhaktuni ◽  
Mustapha Yagoub
Keyword(s):  
Space Mapping ◽  
Spiral Inductor ◽  
Mapping Algorithm ◽  
On Chip

Extraction and Analysis of Substrate Parameters in On-Chip Spiral Inductor Model

2019 ◽  
Vol 34 (1) ◽  
pp. 75-80 ◽  
Author(s):  
Xi Li ◽  
Zheng Ren ◽  
Dawei Chen ◽  
Yanling Shi
Keyword(s):  
Spiral Inductor ◽  
On Chip

scholarly journals Optimizing Crosstalk in Optical NoC through Heuristic Fusion Mapping

Electronics ◽  
2020 ◽  
Vol 9 (6) ◽  
pp. 1006
Author(s):  
Xinhao Shi ◽  
Ning Wu ◽  
Fen Ge ◽  
Fang Zhou ◽  
Muhammad Rehan Yahya
Keyword(s):  
Simulated Annealing Algorithm ◽  
Interconnection Network ◽  
Optical Network ◽  
Optical Signal ◽  
Crosstalk Noise ◽  
Mapping Algorithm ◽  
Annealing Algorithm ◽  
On Chip ◽  
Mapping Scheme ◽  
Better Than

Optical network-on-chip is considered to be a promising technology to solve the problems of low bandwidth and high latency in the traditional interconnection network. However, due to the inevitable leakage of optical devices, the optical signal will receive crosstalk noise during transmission. In this paper, a heuristic fusion mapping algorithm PSO_SA for crosstalk optimization is proposed. First, the initial optimal mapping is obtained by particle swarm optimization, and then the local optimization of the mapping scheme is removed by combining with simulated annealing algorithm. The experimental results show that the crosstalk optimization performance of PSO_SA algorithm is better than that of GA algorithm in 263 dec, Wavelet, DVOPD and other applications, and the maximum optimization degree is 28.7%.

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