An efficient evolutionary approach to placing VLSI elements based on multithread CUDA programming

In this paper, we present an evolutionary algorithm to place VLSI elements based on evolutionary computing with multi-chromosomes. In addition, we present possible software implementation of the algorithm based on multithread CUDA programming, and report some experimental results of the suggested al...

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Bibliographic Details
Published in:2016 5th International Conference on Informatics, Electronics and Vision (ICIEV) pp. 1153 - 1156
Main Authors: Korovin, Iakov, Khisamutdinov, Maxim, Schaefer, Gerald, Kalyaev, Anatoly
Format: Conference Proceeding
Language:English
Published: IEEE 01.05.2016
Subjects:
Algorithm design and analysis
Biological cells
CUDA
evolutionary computing
Genetic algorithms
Graphics processing units
optimisation
Sociology
Statistics
Very large scale integration
VLSI design
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Summary:In this paper, we present an evolutionary algorithm to place VLSI elements based on evolutionary computing with multi-chromosomes. In addition, we present possible software implementation of the algorithm based on multithread CUDA programming, and report some experimental results of the suggested algorithm implementation.
DOI:10.1109/ICIEV.2016.7760180