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J. Daniel Nash

dblp:286/9202 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Electronic design automation › design methodology
VLSI design methodology
0.011982
VLSI design methodology workshop · DAC 1982
Electronic design automation › design data management
CAD database
0.021976
Concepts in CAD data base structures · DAC 1976
Control and integration of a CAD data base · DAC 1976
YearPublicationVenuePosition
1982 Design automation algorithms: Research and applications
abstract
In 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
DAC2
1982 VLSI design methodology workshop
J. Daniel Nash
DAC1
1976 Control and integration of a CAD data base
abstract
Within 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
DAC3
1976 Concepts in CAD data base structures
abstract
The 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
DAC2