2016
DOI: 10.4236/cs.2016.75048
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Optimization of Thermal Aware VLSI Non-Slicing Floorplanning Using Hybrid Particle Swarm Optimization Algorithm-Harmony Search Algorithm

Abstract: Floorplanning is a prominent area in the Very Large-Scale Integrated (VLSI) circuit design automation, because it influences the performance, size, yield and reliability of the VLSI chips. It is the process of estimating the positions and shapes of the modules. A high packing density, small feature size and high clock frequency make the Integrated Circuit (IC) to dissipate large amount of heat. So, in this paper, a methodology is presented to distribute the temperature of the module on the layout while simulta… Show more

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Cited by 8 publications
(3 citation statements)
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References 23 publications
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“…To examine the effect of EMF radiations on the morphology of the D. Melanogaster brain, four classifiers were used to segregate it. These four classifiers were naïve Bayes [15][16][17], artificial neural network [18][19][20][21][22], support vector machine [23][24][25], and unsystematic forest.…”
Section: Segregating Open/not Open Groups Using Machine Learningmentioning
confidence: 99%
“…To examine the effect of EMF radiations on the morphology of the D. Melanogaster brain, four classifiers were used to segregate it. These four classifiers were naïve Bayes [15][16][17], artificial neural network [18][19][20][21][22], support vector machine [23][24][25], and unsystematic forest.…”
Section: Segregating Open/not Open Groups Using Machine Learningmentioning
confidence: 99%
“…For SRAM designs in aerospace applications, the soft error rate, power consumption, size, and delay are the most critical metrics to consider. In addition, SRAM cells take up much space in the device on the chip [24][25][26][27].…”
Section: Introductionmentioning
confidence: 99%
“…Venkatraman and Sundhararajan (2017) describe PSO using polish expression to fix modules with fixed outline constraint and a hybrid Ant colony optimization technique which can reduce the calculation time and can produce the enhanced floor-plan arrangement, it mainly concentrates on giving more suitable floor-plan in less time. Paramasivam S et al, (2016) propose a hybrid method using PSO and harmony Search (hS) to achieve global optima and local optima. The results obtained show an optimal solution for larger number of modules.…”
mentioning
confidence: 99%