Name
Abstract | ||
|---|---|---|
This paper considers a cell mapping task of CMOL, a hybrid CMOS/molecular circuit architecture. To tackle the combinatorial hurdle arising from the structural connectivity domain constraint, a memetic computing algorithm is developed. The framework takes advantage of simulated annealing based local search strategy and appropriate population based encoding manipulation. Numerical results from ISCAS benchmarks and comparison with pure genetic approach illustrate the effectiveness of the modeling and solution methodology. In terms of CPU runtime, timing delay and circuit scale, the proposed method has better performance than previous methods. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/DSD.2010.22 | DSD |
Keywords | Field | DocType |
molecular circuit architecture,circuit scale,memetic computing algorithm,cell mapping task,nanotechnology,population based encoding manipulation,encoding manipulation,memetic approach,nanoscale hybrid circuit cell,mapping,cmol,circuit optimisation,memetic,nanoscale hybrid circuit,hybrid cmos,better performance,optimization,timing delay,appropriate population,nanoscale hybrid circuit cell mapping,local search strategy,combinatorial hurdle,simulated annealing,cmos/molecular circuit architecture,cpu runtime,iscas benchmarks,structural connectivity domain constraint,genetics,local search,cmos integrated circuits,nanowires,computer architecture,logic gates | Simulated annealing,Population,Logic gate,Nanoscopic scale,Cell mapping,Computer science,Parallel computing,Real-time computing,CMOS,Local search (optimization),Encoding (memory) | Conference |
ISBN | Citations | PageRank |
978-1-4244-7839-2 | 5 | 0.67 |
References | Authors | |
6 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhufei Chu | 1 | 13 | 6.33 |
| Yinshui Xia | 2 | 31 | 16.46 |
| William N. N. Hung | 3 | 304 | 34.98 |
| Lun-Yao Wang | 4 | 20 | 7.39 |
| Xiaoyu Song | 5 | 471 | 51.61 |