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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| Veröffentlicht in: | 2016 5th International Conference on Informatics, Electronics and Vision (ICIEV) S. 1153 - 1156 |
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01.05.2016
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| Abstract | 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. |
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| AbstractList | 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. |
| Author | Kalyaev, Anatoly Khisamutdinov, Maxim Schaefer, Gerald Korovin, Iakov |
| Author_xml | – sequence: 1 givenname: Iakov surname: Korovin fullname: Korovin, Iakov organization: Southern Fed. Univ., Rostov-on-Don, Russia – sequence: 2 givenname: Maxim surname: Khisamutdinov fullname: Khisamutdinov, Maxim organization: Southern Fed. Univ., Rostov-on-Don, Russia – sequence: 3 givenname: Gerald surname: Schaefer fullname: Schaefer, Gerald organization: Loughborough Univ., Loughborough, UK – sequence: 4 givenname: Anatoly surname: Kalyaev fullname: Kalyaev, Anatoly organization: Southern Fed. Univ., Rostov-on-Don, Russia |
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| Snippet | In this paper, we present an evolutionary algorithm to place VLSI elements based on evolutionary computing with multi-chromosomes. In addition, we present... |
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| SubjectTerms | Algorithm design and analysis Biological cells CUDA evolutionary computing Genetic algorithms Graphics processing units optimisation Sociology Statistics Very large scale integration VLSI design |
| Title | An efficient evolutionary approach to placing VLSI elements based on multithread CUDA programming |
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