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H. B. Nguyen

dblp:01/3010 · DBLP profile ↗
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3ranked-venue papers
1as first author
0since 2021 · last 1979
—ORCID · none

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

Systems, architecture and hardware · 2Software engineering, systems software and programming languages · 1Theory of computation · 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
2 papers
Hardware accelerators and domain-specific architectures · 59% Parallel and multicore computing · 32% Processor architecture and microarchitecture · 10%
Databases, data mining, and information retrieval
2 papers
Database system architecture and tuning · 100%
Theoretical computer science
1 paper
Automata and formal languages · 77% Coding theory · 23%

Topics — the 4 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Parallel and multicore computing › parallel architecture
associative processor
0.011979
RAP.2 - An Associative Processor for Databases and Its Applications · IEEE Trans. Computers 1979
Hardware accelerators and domain-specific architectures › database accelerator
database machine
0.011979
RAP.2 - An Associative Processor for Databases and Its Applications · IEEE Trans. Computers 1979
Automata and formal languages
cellular automata
0.011974
Pattern Synchronization in Two-Dimensional Cellular Spaces · Inf. Control. 1974
Coding theory › constrained coding
synchronization
0.011974
Pattern Synchronization in Two-Dimensional Cellular Spaces · Inf. Control. 1974

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

associative processing · 0.0array processing · 0.0
YearPublicationVenuePosition
1979 RAP.2 - An Associative Processor for Databases and Its Applications
abstract
RAP—a Relational Associative Processor—is a back-end or peripheral device to augment a general purpose computer for implementing a database management system (DBMS) Its architecture is based on the fact that database operations are inherently set-oriented and that data base addressing is best accomplished through associative reference to achieve high data independence. RAP utilizes these characteristics by combining the features of associative and array processors. Previous publications on RAP have dealt separately with the details of the first version of its architecture [1]-[4] language interface [5],[6] and performance evaluation [7]-[9]. This paper provides details on a recently evolved, faster, and more flexible architecture for RAP called RAP. 2 [17].
Stewart A. Schuster, H. B. Nguyen, Esen A. Ozkarahan, Kenneth C. Smith
IEEE Trans. Computers2
1978 RAP.2 - An Associative Processor for Data Bases
abstract
RAP - a Relational Associative Processor - is a back-end or peripheral device to augment a general purpose computer for implementing a data base management system (DBMS). Its architecture is based on the fact that data base operations are inherently set-oriented and that data base addressing is best accomplished through associative reference to achieve high data independence. RAP utilizes these characteristics by combining the features of associative and array processors. Previous publications on RAP have dealt separately with the details of the first version of its architecture [1,2,3,4] language interface [5,6] and performance evaluation [7,8,9,]. This paper provides details on a recently evolved, faster, and more flexible architecture for RAP.
Stewart A. Schuster, H. B. Nguyen, Esen A. Ozkarahan, Kenneth C. Smith
ISCA2
1974 Pattern Synchronization in Two-Dimensional Cellular Spaces
H. B. Nguyen, V. Carl Hamacher
Inf. Control.1