Asynchronous MMC based parallel SA schemes for multiobjective standard cell placement

Simulated annealing (SA) is a popular iterative heuristic used to solve a wide variety of combinatorial optimization problems. However, depending on the size of the problem, it may have large run-time requirements. One practical approach to speed up its execution is to parallelize it. In this paper...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Sait, Sadiq M. (author)
مؤلفون آخرون: Mustafa Zaidi, A. (author), Imran Ali, M. (author), unknown (author)
التنسيق: article
منشور في: 2006
الموضوعات:
الوصول للمادة أونلاين:https://eprints.kfupm.edu.sa/id/eprint/14567/1/14567_1.pdf
https://eprints.kfupm.edu.sa/id/eprint/14567/2/14567_2.doc
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author Sait, Sadiq M.
author2 Mustafa Zaidi, A.
Imran Ali, M.
unknown
author2_role author
author
author
author_facet Sait, Sadiq M.
Mustafa Zaidi, A.
Imran Ali, M.
unknown
author_role author
dc.creator.none.fl_str_mv Sait, Sadiq M.
Mustafa Zaidi, A.
Imran Ali, M.
unknown
dc.date.none.fl_str_mv 2006-05
2020
dc.format.none.fl_str_mv application/pdf
application/msword
dc.identifier.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/14567/1/14567_1.pdf
https://eprints.kfupm.edu.sa/id/eprint/14567/2/14567_2.doc
(2006) Asynchronous MMC based parallel SA schemes for multiobjective standard cell placement. Circuits and Systems, 2006. ISCAS 2006. Proceedings. 2006 IEEE International Symposium on, 1.
dc.language.none.fl_str_mv en
en
dc.publisher.none.fl_str_mv IEEE
dc.relation.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/14567/
dc.rights.*.fl_str_mv info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Computer
dc.title.none.fl_str_mv Asynchronous MMC based parallel SA schemes for multiobjective standard cell placement
dc.type.none.fl_str_mv Article
PeerReviewed
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description Simulated annealing (SA) is a popular iterative heuristic used to solve a wide variety of combinatorial optimization problems. However, depending on the size of the problem, it may have large run-time requirements. One practical approach to speed up its execution is to parallelize it. In this paper we develop parallel SA schemes based on the asynchronous multiple-Markov chain model (AMMC) described in S.-Y. Lee and K. G. Lee (1996) and applied to standard-cell placement as presented in J. Chandy et al. (1997), The schemes are applied to solve the multi-objective standard cell placement problem using an inexpensive cluster-of-workstations environment. This problem requires the optimization of conflicting objectives (interconnect wire-length, power dissipation, and timing performance), and fuzzy logic is used to integrate the costs of these objectives stated in J.A. Khan et al. (2002) and S. M. Sait and H. Youssef (2001). Experiments are performed on ISCAS-85/89 benchmark circuits. Our goal is to develop parallel SA schemes that provide significantly improved runtime/solution quality characteristics for this key CAD problem, by making the best possible use of an inexpensive parallel environment.
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identifier_str_mv (2006) Asynchronous MMC based parallel SA schemes for multiobjective standard cell placement. Circuits and Systems, 2006. ISCAS 2006. Proceedings. 2006 IEEE International Symposium on, 1.
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spelling Asynchronous MMC based parallel SA schemes for multiobjective standard cell placementSait, Sadiq M.Mustafa Zaidi, A.Imran Ali, M.unknownComputerSimulated annealing (SA) is a popular iterative heuristic used to solve a wide variety of combinatorial optimization problems. However, depending on the size of the problem, it may have large run-time requirements. One practical approach to speed up its execution is to parallelize it. In this paper we develop parallel SA schemes based on the asynchronous multiple-Markov chain model (AMMC) described in S.-Y. Lee and K. G. Lee (1996) and applied to standard-cell placement as presented in J. Chandy et al. (1997), The schemes are applied to solve the multi-objective standard cell placement problem using an inexpensive cluster-of-workstations environment. This problem requires the optimization of conflicting objectives (interconnect wire-length, power dissipation, and timing performance), and fuzzy logic is used to integrate the costs of these objectives stated in J.A. Khan et al. (2002) and S. M. Sait and H. Youssef (2001). Experiments are performed on ISCAS-85/89 benchmark circuits. Our goal is to develop parallel SA schemes that provide significantly improved runtime/solution quality characteristics for this key CAD problem, by making the best possible use of an inexpensive parallel environment.IEEE2006-052020ArticlePeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfapplication/mswordhttps://eprints.kfupm.edu.sa/id/eprint/14567/1/14567_1.pdfhttps://eprints.kfupm.edu.sa/id/eprint/14567/2/14567_2.doc (2006) Asynchronous MMC based parallel SA schemes for multiobjective standard cell placement. Circuits and Systems, 2006. ISCAS 2006. Proceedings. 2006 IEEE International Symposium on, 1. enenhttps://eprints.kfupm.edu.sa/id/eprint/14567/info:eu-repo/semantics/openAccessoai::145672019-11-01T14:06:26Z
spellingShingle Asynchronous MMC based parallel SA schemes for multiobjective standard cell placement
Sait, Sadiq M.
Computer
status_str publishedVersion
title Asynchronous MMC based parallel SA schemes for multiobjective standard cell placement
title_full Asynchronous MMC based parallel SA schemes for multiobjective standard cell placement
title_fullStr Asynchronous MMC based parallel SA schemes for multiobjective standard cell placement
title_full_unstemmed Asynchronous MMC based parallel SA schemes for multiobjective standard cell placement
title_short Asynchronous MMC based parallel SA schemes for multiobjective standard cell placement
title_sort Asynchronous MMC based parallel SA schemes for multiobjective standard cell placement
topic Computer
url https://eprints.kfupm.edu.sa/id/eprint/14567/1/14567_1.pdf
https://eprints.kfupm.edu.sa/id/eprint/14567/2/14567_2.doc