Presentation 2022-12-16
On Improving the Accuracy of LSI Small Delay Fault Diagnosis
Shinnosuke Fujita, Stefan Holst, Xiaoqing Wen,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) With today's tight timing margins, increasing manufacturing variation, and the development of nanometer technology, timing-related defects have become a major concern in the development of LSI technology. Therefore, detailed information on SDD (Small Delay Defect) is needed. In addition, variations in the delay values of each element in LSI manufacturing have come to affect circuits. Therefore, it is necessary to perform fault diagnosis taking the variations into account. In this study, we propose a diagnostic algorithm specifically designed to diagnose timing problems under compressed test responses and process variations. We report the results of the algorithm with a new process for the case of a large number of SDD candidates that were not diagnosed.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Small Delay Defect / Delay Fault / Fault Diagnosis
Paper # DC2022-72
Date of Issue 2022-12-09 (DC)

Conference Information
Committee DC
Conference Date 2022/12/16(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English) Safety, etc.
Chair Tatsuhiro Tsuchiya(Osaka Univ.)
Vice Chair Toshinori Hosokawa(Nihon Univ.)
Secretary Toshinori Hosokawa(Nihon Univ.)
Assistant

Paper Information
Registration To Technical Committee on Dependable Computing
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) On Improving the Accuracy of LSI Small Delay Fault Diagnosis
Sub Title (in English)
Keyword(1) Small Delay Defect
Keyword(2) Delay Fault
Keyword(3) Fault Diagnosis
1st Author's Name Shinnosuke Fujita
1st Author's Affiliation Kyushu Institute of Technology(Kyutech)
2nd Author's Name Stefan Holst
2nd Author's Affiliation Kyushu Institute of Technology(Kyutech)
3rd Author's Name Xiaoqing Wen
3rd Author's Affiliation Kyushu Institute of Technology(Kyutech)
Date 2022-12-16
Paper # DC2022-72
Volume (vol) vol.122
Number (no) DC-318
Page pp.pp.1-6(DC),
#Pages 6
Date of Issue 2022-12-09 (DC)