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Shao-Ming Wu

dblp:63/4681 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 1991
—ORCID · none

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

Systems, architecture and hardware · 2Artificial intelligence and machine learning · 1Graphics, computer vision, multimedia, augmented reality and games · 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
Distributed systems · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Distributed systems › distributed algorithms
distributed constraint satisfaction
0.011987
A Distributed Approach for Inferring Production Systems · IJCAI 1987
Distributed systems › distributed coordination › multi-agent systems
distributed problem solving
0.011987
A Distributed Approach for Inferring Production Systems · IJCAI 1987

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

production system inference · 0.0
YearPublicationVenuePosition
1991 CAPMA: a content-addressable pattern match architecture for production systems
abstract
CAPMA is an efficient partially parallel pattern match architecture used to speed up the execution time of match process of a production system. The algorithm fully exploits the advantages of content-addressable memories (CAMs) not only to buffer the working memory elements, but also to support the functions for evaluating interconditions among patterns in the left-hand sides (LHSs) of productions. CAPMA compiles the LHS of each production into an efficient form, and creates an effective accessing mechanism based on a two-level CAM architecture for computing the conflict set. Both upper-level and lower-level CAM arrays give CAPMA two major benefits: (i) embedded parallelism of pattern matching at the speed of nano-seconds, and (ii) uniformity to construct arrays of processing elements for matching. Due to the modifiability nature of CAMs, knowledge in production systems can be easily added, deleted or modified in CAPMA. CAPMA also grainy simplifies the maintenance efforts and control actions needed by the working memory (WM). Preliminary timing simulations indicate that approximately 8000 match cycles per second can be performed with 20 MHz CAMs.>
Chie Dou, Shao-Ming Wu
ASAP2
1991 An Efficient Pattern Match Architecture for Production Systems Using Content-Addressable Memory
abstract
A novel and efficient content-addressable pattern match architecture (CAPMA) is proposed to speed up the execution time of the match process of a production system. CAPMA compiles the left-hand side (LHS) of each production into an efficient symbolic form, and creates an effective symbolic accessing mechanism based on a two-level content-addressable memory (CAM) structure for computing the conflict set. Preliminary (performance estimation) shows that averaging 2500 match clocks of CAM are needed for each match cycle. That is, CAPMA can perform approximately 8000 match cycles per second using 20 MHz CAMs.>
Chie Dou, Shao-Ming Wu
ICCD2
1987 A Distributed Approach for Inferring Production Systems
Ching-Chi Hsu, Shao-Ming Wu, Jan-Jan Wu
IJCAI2