Solving optimization problems by parallel recombinative simulated annealing on a parallel computer-an application to standard cell placement in VLSI design

Author(s):  
K. Kurbel ◽  
B. Schneider ◽  
K. Singh
2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Najwa Altwaijry ◽  
Mohamed El Bachir Menai

The standard cell placement (SCP) problem is a well-studied placement problem, as it is an important step in the VLSI design process. In SCP, cells are placed on chip to optimize some objectives, such as wirelength or area. The SCP problem is solved using mainly four basic methods: simulated annealing, quadratic placement, min-cut placement, and force-directed placement. These methods are adequate for small chip sizes. Nowadays, chip sizes are very large, and hence, hybrid methods are employed to solve the SCP problem instead of the original methods by themselves. This paper presents a new hybrid method for the SCP problem using a swarm intelligence-based (SI) method, called SwarmRW (swarm random walk), on top of a min-cut based partitioner. The resulting placer, called sPL (swarm placer), was tested on the PEKU benchmark suite and compared with several related placers. The obtained results demonstrate the effectiveness of the proposed approach and show that sPL can achieve competitive performance.


2016 ◽  
Vol 4 (3) ◽  
pp. 98-101
Author(s):  
Dr. Aaquil Bunglowala ◽  
Dr. Nidhi Asthana

This research contracts with the notion of hybridization and reports use of hybridizing on GA and HNN. GA and HNN were individually applied to resolve the SCP [3, 4, 5]. In first section we used GA and HNN independently to solve Standard Cell Problem. In the second section we present a new hybrid of GA and HNN. In the last section of the paper we compare the results of hybrid system of GA and HNN with independent result of GA and HNN in respect of wire length and CPU time.


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