DC Field | Value | Language |
---|---|---|
dc.contributor.author | Woo, Mangy | - |
dc.contributor.author | Kim, Seungwon | - |
dc.contributor.author | KANG, SEOKHYEONG | - |
dc.date.accessioned | 2019-04-08T08:52:37Z | - |
dc.date.available | 2019-04-08T08:52:37Z | - |
dc.date.created | 2019-03-15 | - |
dc.date.issued | 2017-11-15 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/98417 | - |
dc.description.abstract | Layout pattern classification has been recently utilized in IC design. It clusters hotspot patterns for design-space analysis or yield optimization. In pattern classification, an optimal clustering is essential, as well as its runtime and accuracy. Within the research-oriented infrastructure used in the ICCAD 2016 contest, we have developed a fast metaheuristic for the pattern classification that utilizes the Greedy Randomized Adaptive Search Procedure (GRASP). Our proposed metaheuristic outperforms the best-reported results on all of the ICCAD 2016 benchmarks. In addition, we achieve up to a 50% cluster count reduction, and improve a runtime significantly compared to a commercial EDA tool provided in the ICCAD 2016 contest [1]. | - |
dc.publisher | IEEE/ACM | - |
dc.relation.isPartOf | International Conference on Computer-Aided Design | - |
dc.relation.isPartOf | Proc. IEEE/ACM International Conference on Computer-Aided Design | - |
dc.title | GRASP based Metaheuristics for Layout Pattern Classification | - |
dc.type | Conference | - |
dc.type.rims | CONF | - |
dc.identifier.bibliographicCitation | International Conference on Computer-Aided Design | - |
dc.citation.conferenceDate | 2017-11-13 | - |
dc.citation.conferencePlace | US | - |
dc.citation.title | International Conference on Computer-Aided Design | - |
dc.contributor.affiliatedAuthor | KANG, SEOKHYEONG | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
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