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Will Howell

dblp:286/4600 · DBLP profile ↗
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2ranked-venue papers
1as first author
1since 2021 · last 2021
0000-0002-8113-1533ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 2 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Electronic design automation · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Electronic design automation › hardware verification and test › VLSI testing
defect-based testing
0.512021
Defect-Oriented Test: Effectiveness in High Volume Manufacturing · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2021
Electronic design automation › hardware verification and test
fault coverage
0.512021
Defect-Oriented Test: Effectiveness in High Volume Manufacturing · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2021
Electronic design automation
hardware verification and test
0.512021
Defect-Oriented Test: Effectiveness in High Volume Manufacturing · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2021
Electronic design automation › hardware verification and test
test generation
0.512021
Defect-Oriented Test: Effectiveness in High Volume Manufacturing · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2021

Methods — techniques the papers use, named apart from their topics

critical area analysis · 0.5cell-aware test · 0.5
YearPublicationVenuePosition
2021 Defect-Oriented Test: Effectiveness in High Volume Manufacturing
abstract
This article describes a defect-oriented test (DOT) approach, which enables a complete physical defect-based automatic test pattern generation (ATPG) for the digital logic area of CMOS-based designs. Total critical area (TCA)-based methods are presented for the generation of needed DOT views to enable the generation of complete DOT-based patterns for detecting all cell-internal and as well all cell-external physical defects. The major aim of these new methods and patterns is to further reduce the defect rate of manufactured ICs, in addition to what is already achieved with traditional and cell-aware test (CAT) fault models. We present test results, including achieved defect rate reduction in defective parts per million (DPPM), from a large 14-nm FinFET design, including a correlation to system-level-test (SLT) fails. For a second, mature 160-nm automotive mixed-signal sensor we present high-volume production test results, again measured in DPPM, and we provide test coverage figures moving away from counting detected faults to calculating detected TCA which is reported as the chip level TCA coverage.
Friedrich Hapke, Will Howell, Peter C. Maxwell, Edward Brazil, Srikanth Venkataraman, Rudrajit Dutta, Andreas Glowatz, Anja Fast, Janusz Rajski
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.2
2018 DPPM Reduction Methods and New Defect Oriented Test Methods Applied to Advanced FinFET Technologies
abstract
This paper presents DPPM reduction results achieved with new Defect Oriented Test (DOT) methods/patterns applied to designs manufactured in advanced FinFET technologies. Focus of this paper is on Timing-Aware Cell-Aware Test (TA-CAT) patterns targeting small-delay defects of FinFET transistors, and a new DOT method which explicitly targets chip layout dependent cell-neighborhood defects. Test results from traditional Stuck-at/Transition patterns, from traditional CAT patterns, from TA-CAT patterns, and as well from cell-neighborhood patterns, applied to FinFET technology designs, will be presented in this paper. In addition, a correlation to System-Level-Test fails will be discussed.
Will Howell, Friedrich Hapke, Edward Brazil, Srikanth Venkataraman, R. Datta, Andreas Glowatz, Wilfried Redemund, J. Schmerberg, Anja Fast, Janusz Rajski
ITC1