A Hierarchical Approach for Incremental Floorplan Based on Genetic Algorithms

Liu, Yongpan; Yang, Huazhong; Luo, Rong; Wang, Hui

doi:10.1007/11539902_26

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2014

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“…We use some MCNC benchmarks 28 and some benchmarks obtained from Ref. 29 to evaluate our algorithms. For convenience, the total area of each benchmark is scaled to 1.0 cm 2 .…”

Section: Resultsmentioning

confidence: 99%

Fast Algorithms for Thermal-Aware Floorplanning

Wang

2014

J CIRCUIT SYST COMP

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Thermal-aware°oorplanning is an e®ective way to solve the thermal problem in modern integrated circuit (IC) designs. Existing thermal-aware°oorplanning methods are all based on simulated annealing (SA), genetic algorithms (GAs) or linear programming (LP), which are quite time-consuming. In this paper, we propose two fast algorithms for thermal-aware°oorplanning, a greedy algorithm based on the less-°exibility-¯rst (LFF) principle and a hybrid algorithm combining the greedy algorithm and an SA-based re¯nement. The greedy algorithm can fast obtain a locally optimized°oorplan with reduced area and temperature. The hybrid method can get similar results compared with pure SA-based approaches but it is still much faster.

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“…We use some MCNC benchmarks 28 and some benchmarks obtained from Ref. 29 to evaluate our algorithms. For convenience, the total area of each benchmark is scaled to 1.0 cm 2 .…”

Section: Resultsmentioning

confidence: 99%

Fast Algorithms for Thermal-Aware Floorplanning

Wang

2014

J CIRCUIT SYST COMP

View full text Add to dashboard Cite

show abstract

A Hierarchical Approach for Incremental Floorplan Based on Genetic Algorithms

Cited by 1 publication

References 6 publications

Fast Algorithms for Thermal-Aware Floorplanning

Fast Algorithms for Thermal-Aware Floorplanning

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