On the Efficacy of Scan Chain Grouping for Mitigating IR-Drop-Induced Test Data Corruption

Autor:	Seiji Kajihara, Kohei Miyase, Yucong Zhang, Xiaoqing Wen, Jun Qian, Stefan Holst
Rok vydání:	2021
Předmět:	Artificial Intelligence Hardware and Architecture Computer science Corruption media_common.quotation_subject Statistics Scan chain Computer Vision and Pattern Recognition Electrical and Electronic Engineering Power network design Software Test data media_common
Zdroj:	IEICE Transactions on Information and Systems. :816-827
ISSN:	1745-1361 0916-8532
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ccc1e352016493c2d1df67112d305ba1 https://doi.org/10.1587/transinf.2020edp7042 Zobrazit plný text záznamu