Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page
Demo Data from VLDB 2026 / reviewers in the wild / expert

Masahiro Sugaya

dblp:33/5092 · DBLP profile ↗
← Back
2ranked-venue papers
0as first author
0since 2021 · last 1989
—ORCID · none

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

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 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.

Software engineering, system software, and programming languages
1 paper
Compilers and program optimization · 67% Programming languages and type systems · 33%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Programming languages and type systems
logic programming		 0.011989
A Vectorization Technique for Prolog without Explosion · IJCAI 1989
Compilers and program optimization › compiler construction
prolog compilation		 0.011989
A Vectorization Technique for Prolog without Explosion · IJCAI 1989
Compilers and program optimization
vectorization		 0.011989
A Vectorization Technique for Prolog without Explosion · IJCAI 1989
YearPublicationVenuePosition
1989 A Vectorization Technique for Prolog without Explosion
Yasusi Kanada, Masahiro Sugaya
 IJCAI2
1988 Vectorization techniques for prolog
abstract
Several techniques for running Prolog programs on pipelined vector processors, such as the Hitachi S-820 or the Cray-2, are developed. This paper presents an automatic program transformation (vectorization) method of Prolog, which enables a type of or-parallel execution of Prolog programs using vector operations. Performance is evaluated on the Hitachi S-810 using the Eight-Queens problem. Its vector execution speed is 4.5 MLIPS (18 ms). This is eight or nine times faster than scalar execution. This result confirms the effectiveness of vectorization techniques and applicability of vector processors to Prolog execution and to symbol processing applications.
Yasusi Kanada, Keiji Kojima, Masahiro Sugaya
 ICS3