Fast force-directed/simulated evolution hybrid for multiobjective VLSI cell placement

VLSI standard cell placement is a hard optimization problem, which is further complicated with new issues such as power dissipation and performance. In this work, a fast hybrid algorithm is designed to address this problem. The algorithm employs simulated evolution (SE), an iterative search heuristi...

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Main Author: Sait, Sadiq M. (author)
Other Authors: Khan, J.A. (author), unknown (author)
Format: article
Published: 2004
Subjects:
Online Access:https://eprints.kfupm.edu.sa/id/eprint/14640/1/14640_1.pdf
https://eprints.kfupm.edu.sa/id/eprint/14640/2/14640_2.doc
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author Sait, Sadiq M.
author2 Khan, J.A.
unknown
author2_role author
author
author_facet Sait, Sadiq M.
Khan, J.A.
unknown
author_role author
dc.creator.none.fl_str_mv Sait, Sadiq M.
Khan, J.A.
unknown
dc.date.none.fl_str_mv 2004-05
2020
dc.format.none.fl_str_mv application/pdf
application/msword
dc.identifier.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/14640/1/14640_1.pdf
https://eprints.kfupm.edu.sa/id/eprint/14640/2/14640_2.doc
(2004) Fast force-directed/simulated evolution hybrid for multiobjective VLSI cell placement. Circuits and Systems, 2004. ISCAS '04. Proceedings of the 2004 International Symposium on, 5.
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/14640/
dc.rights.*.fl_str_mv info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Computer
dc.title.none.fl_str_mv Fast force-directed/simulated evolution hybrid for multiobjective VLSI cell placement
dc.type.none.fl_str_mv Article
PeerReviewed
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description VLSI standard cell placement is a hard optimization problem, which is further complicated with new issues such as power dissipation and performance. In this work, a fast hybrid algorithm is designed to address this problem. The algorithm employs simulated evolution (SE), an iterative search heuristic that comprises three steps: evaluation, selection and allocation. Solution quality is a strong function of the allocation procedure which is both time consuming and difficult. In this work a force directed approach in the allocation step of SE is used to both accelerate and improve the solution quality. Due to the imprecise nature of design information at the placement stage, objectives to be optimized are expressed in the fuzzy domain. The search evolves towards a vector of fuzzy goals. The proposed heuristic is compared with a previously presented SE approach. It exhibits significant improvement in terms of runtime for the same quality of solution.
eu_rights_str_mv openAccess
format article
id KFUPM_841cf994e5afe78a9976379d81a3dfee
identifier_str_mv (2004) Fast force-directed/simulated evolution hybrid for multiobjective VLSI cell placement. Circuits and Systems, 2004. ISCAS '04. Proceedings of the 2004 International Symposium on, 5.
language_invalid_str_mv en
network_acronym_str KFUPM
network_name_str King Fahd University of Petroleum and Minerals
oai_identifier_str oai::14640
publishDate 2004
publisher.none.fl_str_mv IEEE
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repository_id_str
spelling Fast force-directed/simulated evolution hybrid for multiobjective VLSI cell placementSait, Sadiq M.Khan, J.A.unknownComputerVLSI standard cell placement is a hard optimization problem, which is further complicated with new issues such as power dissipation and performance. In this work, a fast hybrid algorithm is designed to address this problem. The algorithm employs simulated evolution (SE), an iterative search heuristic that comprises three steps: evaluation, selection and allocation. Solution quality is a strong function of the allocation procedure which is both time consuming and difficult. In this work a force directed approach in the allocation step of SE is used to both accelerate and improve the solution quality. Due to the imprecise nature of design information at the placement stage, objectives to be optimized are expressed in the fuzzy domain. The search evolves towards a vector of fuzzy goals. The proposed heuristic is compared with a previously presented SE approach. It exhibits significant improvement in terms of runtime for the same quality of solution.IEEE2004-052020ArticlePeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfapplication/mswordhttps://eprints.kfupm.edu.sa/id/eprint/14640/1/14640_1.pdfhttps://eprints.kfupm.edu.sa/id/eprint/14640/2/14640_2.doc (2004) Fast force-directed/simulated evolution hybrid for multiobjective VLSI cell placement. Circuits and Systems, 2004. ISCAS '04. Proceedings of the 2004 International Symposium on, 5. enenhttps://eprints.kfupm.edu.sa/id/eprint/14640/info:eu-repo/semantics/openAccessoai::146402019-11-01T14:06:45Z
spellingShingle Fast force-directed/simulated evolution hybrid for multiobjective VLSI cell placement
Sait, Sadiq M.
Computer
status_str publishedVersion
title Fast force-directed/simulated evolution hybrid for multiobjective VLSI cell placement
title_full Fast force-directed/simulated evolution hybrid for multiobjective VLSI cell placement
title_fullStr Fast force-directed/simulated evolution hybrid for multiobjective VLSI cell placement
title_full_unstemmed Fast force-directed/simulated evolution hybrid for multiobjective VLSI cell placement
title_short Fast force-directed/simulated evolution hybrid for multiobjective VLSI cell placement
title_sort Fast force-directed/simulated evolution hybrid for multiobjective VLSI cell placement
topic Computer
url https://eprints.kfupm.edu.sa/id/eprint/14640/1/14640_1.pdf
https://eprints.kfupm.edu.sa/id/eprint/14640/2/14640_2.doc