EDBT 2026 Demo / reviewers in the wild / expert
Murray H. Woods
dblp:327/1624
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1986
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author
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 |
Hardware reliability and fault tolerance · 70% Electronic design automation · 23% Integrated circuit design · 7% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Hardware reliability and fault tolerance › aging
electromigration |
0.0 | 1 | 1986 | MOS VLSI reliability and yield trends · Proc. IEEE 1986 |
Hardware reliability and fault tolerance › aging
hot-carrier effect |
0.0 | 1 | 1986 | MOS VLSI reliability and yield trends · Proc. IEEE 1986 |
Hardware reliability and fault tolerance
integrated circuit reliability |
0.0 | 1 | 1986 | MOS VLSI reliability and yield trends · Proc. IEEE 1986 |
Electronic design automation
yield analysis |
0.0 | 1 | 1986 | MOS VLSI reliability and yield trends · Proc. IEEE 1986 |
Integrated circuit design
technology scaling |
0.0 | 1 | 1986 | MOS VLSI reliability and yield trends · Proc. IEEE 1986 |
Methods — techniques the papers use, named apart from their topics
reliability modeling · 0.0failure distribution analysis · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1986 | MOS VLSI reliability and yield trendsabstractThe yield and reliability capability of an MOS technology are shown to be the product of at least six different technological trends; namely those towards: 1) more complex device structures, 2) scaled down feature sizes, 3) increased wafer sizes, 4) factory automation, 5) increased die size and package lead counts, and 6) increasingly sophisticated computer-aided design tools. The capabilities of a specific technology are a function of the equipment and processes by which it is manufactured and these are often the rate-limiting factors for evolution to the next generation of technology. However, because of the impact of scaling trends on MOS IC failure mechanisms, reliability concerns are starting to dominate the rate of technology change. This is evidenced, even at the present, by the fact that technology decisions must be made by trading off one reliability failure mechanism against another. For example, the high storage charge density needed to provide strong signals for alpha-particle-induced soft error immunity, produces high electric fields and oxide breakdown problems in thin-oxide MOS storage capacitors. Failure distribution for both failure mechanisms are shown to be exponentially dependent (in an inverse manner) on the scale factor for oxide thickness. Hot-electron degradation is also exponentially dependent on the scale factor for channel length. Metal and contact electromigration lifetimes can be reduced by the seventh and nineth powers of scale factor, respectively. The implications are that the dominant reliability mechanisms may change in the future, and that wearout will start to impinge on reliability life. Murray H. Woods |
Proc. IEEE | 1 |