Yasushi Inoguchi

About Yasushi Inoguchi

Yasushi Inoguchi, With an exceptional h-index of 20 and a recent h-index of 10 (since 2020), a distinguished researcher at Japan Advanced Institute of Science and Technology, specializes in the field of Research Center for Advanced Computing Infrastructure.

His recent articles reflect a diverse array of research interests and contributions to the field:

An Extensive Power and Performance Analysis for High Dimensional Mesh and Torus Interconnection Networks

Fault Tolerance and Cost Effectiveness Analysis of Low-Powered 3D-TESH Network

A novel cluster prediction approach based on locality-sensitive hashing for fuzzy clustering of categorical data

Applying practical parallel grammar compression to large-scale data

3D-TTN: a power efficient cost effective high performance hierarchical interconnection network for next generation green supercomputer

The static performance effect of hybrid-hierarchical interconnection by shifted completely connected network

Parallel processing of grammar compression

HFBN: An energy efficient high performance hierarchical interconnection network for exascale supercomputer

Yasushi Inoguchi Information

University

Position

___

Citations(all)

1547

Citations(since 2020)

461

Cited By

1381

hIndex(all)

20

hIndex(since 2020)

10

i10Index(all)

33

i10Index(since 2020)

11

Email

University Profile Page

Google Scholar

Yasushi Inoguchi Skills & Research Interests

Research Center for Advanced Computing Infrastructure

Top articles of Yasushi Inoguchi

Title

Journal

Author(s)

Publication Date

An Extensive Power and Performance Analysis for High Dimensional Mesh and Torus Interconnection Networks

International Journal of Distributed Systems and Technologies (IJDST)

Faiz Al Faisal

MM Hafizur Rahman

Yasushi Inoguchi

2023/1/1

Fault Tolerance and Cost Effectiveness Analysis of Low-Powered 3D-TESH Network

Faiz Al Faisal

MM Hafizur Rahman

Yasushi Inoguchi

2022/12/17

A novel cluster prediction approach based on locality-sensitive hashing for fuzzy clustering of categorical data

IEEE Access

Toan Nguyen Mau

Yasushi Inoguchi

Van-Nam Huynh

2022/3/28

Applying practical parallel grammar compression to large-scale data

Masaki Matsushita

Yasushi Inoguchi

2022/3/22

3D-TTN: a power efficient cost effective high performance hierarchical interconnection network for next generation green supercomputer

Cluster Computing

Faiz Al Faisal

MM Hafizur Rahman

Yasushi Inoguchi

2021/12

The static performance effect of hybrid-hierarchical interconnection by shifted completely connected network

IEEE Access

Mohammed NM Ali

MM Hafizur Rahman

Adamu Abubakar Ibrahim

Yasushi Inoguchi

Eklas Hossain

2021/7/6

Parallel processing of grammar compression

Masaki Matsushita

Yasushi Inoguchi

2021/3/23

HFBN: An energy efficient high performance hierarchical interconnection network for exascale supercomputer

IEEE Access

Faiz Al Faisal

MM Hafizur Rahman

Yasushi Inoguchi

2021/12/27

A New Compression Scheme of Sparse Matrix Formats for Accurate Numerical Simulation on Site Environment with GPGPU

情報処理学会論文誌トランザクション 数理モデル化と応用 (Web)

TOMOKI KAWAMURA

KAZUNORI YONEDA

TAKASHI IWAMURA

MASAHIRO WATANABE

YASUSHI INOGUCHI

2020

Locality-sensitive hashing for information retrieval system on multiple GPGPU devices

Applied Sciences

Toan Nguyen Mau

Yasushi Inoguchi

2020/4/7

See List of Professors in Yasushi Inoguchi University(Japan Advanced Institute of Science and Technology)

Co-Authors

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