Demo Data from EDBT 2026 / reviewers in the wild / expert
D. S. Nydick
dblp:69/5153
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1990
—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 · 44% Distributed systems · 44% Performance modeling and evaluation · 13% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Electronic design automation › yield analysis
yield simulation |
0.0 | 1 | 1990 | DVLASIC: catastrophic fault yield simulation in a distributed processing environment · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 1990 |
Performance modeling and evaluation › simulation › architectural simulation
simulation acceleration |
0.0 | 1 | 1990 | DVLASIC: catastrophic fault yield simulation in a distributed processing environment · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 1990 |
Methods — techniques the papers use, named apart from their topics
monte carlo simulation · 0.0distributed processing · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1990 | DVLASIC: catastrophic fault yield simulation in a distributed processing environmentabstractSimulation of local process disturbances is a computationally intensive task. The VLASIC (VLSI LAyout Simulation for Integrated Circuits) catastrophic-fault yield simulator uses a Monte Carlo method that often requires tens of CPU hours to perform a simulation. In order to reduce the simulation time, DVLASIC, the distributed-environment version developed by the authors, achieves a speedup of 13.3 over VLASIC, with an efficiency of 89%. The authors describe the distributed processing environment and implementation techniques used to obtain this speedup. The distributed processing environment can also be applied to many other CAD problems.> D. M. H. Walker, D. S. Nydick |
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. | 2 |