Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorWu, Weien
dc.contributor.authorGong, Fangen
dc.contributor.authorKrishnan, Rahulen
dc.contributor.authorYu, Haoen
dc.contributor.authorHe, Leien
dc.identifier.citationWu, W., Gong, F., Krishnan, R., Yu, H., & He, L. (2012). Exploiting Parallelism by Data Dependency Elimination: A Case Study of Circuit Simulation Algorithms. IEEE Design & Test of Computers, 1-1.en
dc.description.abstractConsidering the increasing complexity of integrated circuit (IC) designs at Nano-Tera scale, multi-core CPUs and many-core GPUs have provided ideal hardware platforms for emerging parallel algorithm developments in electronic design automation (EDA). However, it has become extremely challenging to leverage parallel hardware platforms at extreme scale beyond 22nm and 60GHz where the EDA algorithms, such as circuit simulation, show strong data dependencies. This paper presents data dependency elimination in circuit simulation algorithms such as parasitic extraction, transient simulation and periodic-steady-state (PSS) simulation, which paves the way towards unleashing the underlying power of parallel hardware platforms.en
dc.relation.ispartofseriesIEEE design & test of computersen
dc.rights© 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [].en
dc.subjectDRNTU::Engineering::Mathematics and analysis::Simulationsen
dc.titleExploiting parallelism by data dependency elimination : a case study of circuit simulation algorithmsen
dc.typeJournal Articleen
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen
dc.description.versionAccepted versionen
item.fulltextWith Fulltext-
Appears in Collections:EEE Journal Articles

Citations 20

Updated on Mar 28, 2023

Web of ScienceTM
Citations 20

Updated on Mar 19, 2023

Page view(s) 5

Updated on Mar 28, 2023

Download(s) 10

Updated on Mar 28, 2023

Google ScholarTM




Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.