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Dirk Kalp

dblp:70/3820 · DBLP profile ↗
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4ranked-venue papers
0as first author
0since 2021 · last 1992
—ORCID · none

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

Systems, architecture and hardware · 3Artificial intelligence and machine learning · 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
Parallel and multicore computing · 77% Performance modeling and evaluation · 23%
Artificial intelligence
1 paper
Knowledge representation and reasoning · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Knowledge representation and reasoning › knowledge-based systems › rule-based systems
production systems
0.011990
The Effectiveness of Task-Level Parallelism for High-Level Vision · PPoPP 1990
Parallel and multicore computing › parallelization strategies
task-level parallelism
0.011990
The Effectiveness of Task-Level Parallelism for High-Level Vision · PPoPP 1990
Performance modeling and evaluation › performance prediction
speedup estimation
0.011990
The Effectiveness of Task-Level Parallelism for High-Level Vision · PPoPP 1990
YearPublicationVenuePosition
1992 An Efficient Algorithm for Production Systems with Linear-Time Match
abstract
A specialized match algorithm called Uni-Rete is reported. Uni-Rete is a specialization of the widely used Rete match algorithm to unique attributes. Performance results for Uni-Rete indicate over tenfold speedup with respect to Rete. The implications of Uni-Rete for non-unique-attribute systems are discussed.>
Milind Tambe, Dirk Kalp, Paul S. Rosenbloom
ICTAI2
1991 The Effectiveness of Task-Level Parallelism for Production Systems
Wilson A. Harvey, Dirk Kalp, Milind Tambe, David M. McKeown Jr., Allen Newell
J. Parallel Distributed Comput.2
1990 The Effectiveness of Task-Level Parallelism for High-Level Vision
abstract
Large production systems (rule-based systems) continue to suffer from extremely slow execution which limits their utility in practical applications as well as in research settings. Most investigations in speeding up these systems have focused on match (or knowledge-search) parallelism. Although good speed-ups have been achieved in this process, these investigations have revealed the limitations on the total speed-up available from this source. This limited speed-up is insufficient to alleviate the problem of slow execution in large-scale production system implementations. Such large-scale systems are expected to increase as researchers develop increasingly more competent production systems.
Wilson A. Harvey, Dirk Kalp, Milind Tambe, David M. McKeown Jr., Allen Newell
PPoPP2
1988 Parallel OPS5 on the Encore Multimax
Anoop Gupta, Charles Forgy, Dirk Kalp, Allen Newell, Milind Tambe
ICPP (1)3