2024-03-29T19:11:07Zhttps://ipsj.ixsq.nii.ac.jp/ej/?action=repository_oaipmhoai:ipsj.ixsq.nii.ac.jp:002001842024-03-29T05:26:34Z01164:02036:09683:09963
A New ATPG-based Logic Optimization Method by Removing the Redundant Multiple FaultsA New ATPG-based Logic Optimization Method by Removing the Redundant Multiple Faultsenghttp://id.nii.ac.jp/1001/00200091/Technical Reporthttps://ipsj.ixsq.nii.ac.jp/ej/?action=repository_action_common_download&item_id=200184&item_no=1&attribute_id=1&file_no=1Copyright (c) 2019 by the Institute of Electronics, Information and Communication Engineers This SIG report is only available to those in membership of the SIG.Electrical Engineering and Information Systems, The University of TokyoVLSI Design and Education Center, The University of TokyoVLSI Design and Education Center, The University of TokyoPeikun, WangAmir, Masoud GharehbaghiMasahiro, FujitaIn this paper, we propose a logic optimization method to remove the redundancy in the circuit. The incremental Automatic Test Pattern Generation method is used to find the redundant multiple faults. In order to remove as many redundancies as possible, instead of removing the redundant single faults first, we clear up the redundant faults fi-om higher cardinality to lower cardinality. The experiments prove that the proposed method can successfully eliminate more redundancies comparing to the redundancy removal command in the synthesis tool SIS.In this paper, we propose a logic optimization method to remove the redundancy in the circuit. The incremental Automatic Test Pattern Generation method is used to find the redundant multiple faults. In order to remove as many redundancies as possible, instead of removing the redundant single faults first, we clear up the redundant faults fi-om higher cardinality to lower cardinality. The experiments prove that the proposed method can successfully eliminate more redundancies comparing to the redundancy removal command in the synthesis tool SIS.AA11451459研究報告システムとLSIの設計技術(SLDM)2019-SLDM-1894142019-11-062188-86392019-11-01