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Eiji Kuno

dblp:43/271 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1986
—ORCID · none

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

Systems, architecture and hardware · 1Software engineering, systems software and programming languages · 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 · 87% Interconnection networks and networks-on-chip · 13%

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

TopicWeightPapersLastEvidence papers
Parallel and multicore computing › multiprocessor system
parallel inference machine		 0.011986
The Architecture and Preliminary Evaluation Results of the Experimental Parallel Inference Machine PIM-D · ISCA 1986
Parallel and multicore computing › parallel computing › parallel programming languages
parallel logic programming		 0.011986
The Architecture and Preliminary Evaluation Results of the Experimental Parallel Inference Machine PIM-D · ISCA 1986
Interconnection networks and networks-on-chip › network topology
hierarchical interconnection network		 0.011986
The Architecture and Preliminary Evaluation Results of the Experimental Parallel Inference Machine PIM-D · ISCA 1986

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

performance evaluation · 0.0
YearPublicationVenuePosition
1986 The Architecture and Preliminary Evaluation Results of the Experimental Parallel Inference Machine PIM-D
abstract
A parallel inference machine based on the dataflow model and the mechanisms to support two types of logic programming languages are presented. The machine is constructed from multiple processing elements and structure memories interconnected through a low-latency hierarchical network. The preliminary evaluation results of the experimental machine are also presented. The evaluation results show that the machine can exploit parallelism in programs.
Noriyoshi Ito, Masatoshi Sato, Eiji Kuno, Kazuaki Rokusawa
 ISCA3