Demo Data from EDBT 2026 / reviewers in the wild / expert
J. Daniel Nash
dblp:286/9202
· DBLP profile ↗
4ranked-venue papers
1as first author
0since 2021 · last 1982
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 4 · 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
4 papers |
Electronic design automation · 100% | |
| Theoretical computer science
1 paper |
Computational complexity · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Electronic design automation › design methodology
VLSI design methodology |
0.0 | 1 | 1982 | VLSI design methodology workshop · DAC 1982 |
Electronic design automation › design data management
CAD database |
0.0 | 2 | 1976 | Concepts in CAD data base structures · DAC 1976 Control and integration of a CAD data base · DAC 1976 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1982 | Design automation algorithms: Research and applicationsabstractIn the last few years there has been a great deal of basic research into computational complexity. This research has focused on the discovery of efficient algorithms for a wide range of problems. These problems include ones from number theory, geometry, graph theory, combinatorics, organizational research, and many other areas. Major progress has been made in both finding new fast and efficient algorithms and in showing for certain problems that no such algorithms can exist. Richard J. Lipton, J. Daniel Nash |
DAC | 2 |
| 1982 | VLSI design methodology workshop
J. Daniel Nash |
DAC | 1 |
| 1976 | Control and integration of a CAD data baseabstractWithin the field of Design Automation, the term “data base” has generally lacked a precise definition, but it usually describes a system which integrates, organizes, and controls a large amount of data. In this paper, we will examine two approaches to implementing a CAD data base - an MIS-type system where one logical and one physical representation of data exist, and an alternate system where one logical data base structure is physically utilized many times. We will discuss the advantages and disadvantages of the second approach, which we implemented at Raytheon. Peter L. Ciampi, A. D. Donovan, J. Daniel Nash |
DAC | 3 |
| 1976 | Concepts in CAD data base structuresabstractThe concept of a Computer Aided Design (CAD) database (Figure 1) has been discussed for many years, however, during the course of actually implementing such a data base at Raytheon, we found that many critical concepts are hidden in Figure 1. We will discuss these concepts by analyzing the types of information in a CAD data base and by analyzing the “flow” of this information. Peter L. Ciampi, J. Daniel Nash |
DAC | 2 |