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

Yoichi Koyanagi

dblp:57/5721 · DBLP profile ↗
← Back
3ranked-venue papers
0as first author
0since 2021 · last 2007
—ORCID · none

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

Systems, architecture and hardware · 3Software 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
2 papers
Hardware reliability and fault tolerance · 36% Processor architecture and microarchitecture · 28% Parallel and multicore computing · 28%

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

TopicWeightPapersLastEvidence papers
Hardware reliability and fault tolerance
neural network fault tolerance
0.011996
Fault-Tolerant Design of Neural Networks for Solving Optimization Problems · IEEE Trans. Computers 1996
Parallel and multicore computing › multiprocessor system
distributed memory parallel computers
0.011994
AP1000+: Architectural Support of PUT/GET Interface for Parallelizing Compiler · ASPLOS 1994
Processor architecture and microarchitecture
instruction set architecture
0.011994
AP1000+: Architectural Support of PUT/GET Interface for Parallelizing Compiler · ASPLOS 1994
Interconnection networks and networks-on-chip › interprocessor communication
message-passing network
0.011994
AP1000+: Architectural Support of PUT/GET Interface for Parallelizing Compiler · ASPLOS 1994

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

triplication · 0.0merging function · 0.0simulation · 0.0
YearPublicationVenuePosition
2007 Design Consideration of 6.25 Gbps Signaling for High-Performance Server
abstract
As network data rate increases rapidly, high-speed signaling circuits for server communication pose many design challenges due to various system requirements using different interconnect mediums. This paper discusses main problems and solutions of high-speed circuits for server interconnect. Then, it presents a high-speed circuit implementation for such interconnect using 90nm CMOS technology that achieved data rate at 6.25 Gbps in a backplane environment.
Jian Hong Jiang, Weixin Gai, Akira Hattori, Yasuo Hidaka, Takeshi Horie, Yoichi Koyanagi, Hideki Osone
ASP-DAC6
1996 Fault-Tolerant Design of Neural Networks for Solving Optimization Problems
abstract
First, the incorporation of the alternative ways of representing the solution to the traveling salesman problem by neural network is proposed to deal with the asymmetric tolerance of neural networks to unidirectional faults. Next, in order to cope with the simultaneous occurrence of a s-a-0 and s-a-1 faults, the triplication scheme with a proper merging function is considered. Finally, the combination of the alternative representations and the triplication scheme is used.
Yoshihiro Tohma, Yoichi Koyanagi
IEEE Trans. Computers2
1994 AP1000+: Architectural Support of PUT/GET Interface for Parallelizing Compiler
abstract
The scalability of distributed-memory parallel computers makes them attractive candidates for solving large-scale problems. New languages, such as HPF, FortranD, and VPP Fortran, have been developed to enable existing software to be easily ported to such machines. Many distributed-memory parallel computers have been built, but none of them support the mechanisms required by such languages. We studied the mechanisms required by parallelizing compilers and proposed a new architecture to support them. Based on this proposed architecture, we developed a new distributed-memory parallel computer, the AP1000+, which is an enhanced version of the AP1000. Using scientific applications in VPP Fortran and C, such as NAS parallel benchmarks, we simulated the performance of the AP1000+.
Kenichi Hayashi, Tsunehisa Doi, Takeshi Horie, Yoichi Koyanagi, Osamu Shiraki, Nobutaka Imamura, Toshiyuki Shimizu, Hiroaki Ishihata, Tatsuya Shindo
ASPLOS4