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David J. Pilling

dblp:86/10952 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1985
—ORCID · none

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

Systems, architecture and hardware · 1

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 · 94% Integrated circuit design · 6%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Electronic design automation
design for manufacturability
0.011985
Yield analysis modeling · DAC 1985
Electronic design automation › physical design › layout verification
design rule checking
0.011985
Yield analysis modeling · DAC 1985
Electronic design automation
physical verification
0.011985
Yield analysis modeling · DAC 1985
Electronic design automation
yield analysis
0.011985
Yield analysis modeling · DAC 1985
Electronic design automation › design for manufacturability
yield modeling
0.011985
Yield analysis modeling · DAC 1985
Integrated circuit design › semiconductor device fabrication
integrated circuit manufacturing
0.011985
Yield analysis modeling · DAC 1985

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

statistical distribution modeling · 0.0
YearPublicationVenuePosition
1985 Yield analysis modeling
abstract
The traditional use of a design rule checker (DRC) ensures that the layout of an integrated circuit conforms to a set of tolerances known as design rules. Integrated circuit manufacturing yields are enhanced if these tolerances are not violated. In contrast to tolerance checking, yield analysis concerns itself with “yield sensitive elements” such as number of devices, total areas and total length of lines. The cumulative distributions of the elements can be used in yield analysis modeling. In addition, the value distribution of each element can be used to model the processing effort required for yielding a design. A software system known as YIELD is essential for extracting the required statistical data from the graphical data base.
Steve Perry, Mike Mitchell, David J. Pilling
DAC3