Tetsuya Hoshino

31 papers A* 2B 1C 2Journal 13Unranked 13
YearRankTypeTitle / Venue / Authors
2026 — conf
Evaluating Claude Code's Coding and Test Automation for GPU Acceleration ofa Legacy Fortran Application: A GeoFEM Case Study.
SCA/HPC Asia Workshops
Tetsuya Hoshino, Shun-ichiro Hayashi, Daichi Mukunoki, Takahiro Katagiri, Toshihiro Hanawa
2026 J jnl
Improving HPC Code Generation Capability of LLMs via Online Reinforcement Learning with Real-Machine Benchmark Rewards.
CoRR
Ryo Mikasa, Shun-ichiro Hayashi, Daichi Mukunoki, Tetsuya Hoshino, Takahiro Katagiri
2026 J jnl
Learning-Augmented Performance Model for Tensor Product Factorization in High-Order FEM.
IEEE Access
Xuanzhengbo Ren, Yuta Kawai, Tetsuya Hoshino, Hirofumi Tomita, Takahiro Katagiri, Daichi Mukunoki, Seiya Nishizawa
2026 J jnl
Learning-Augmented Performance Model for Tensor Product Factorization in High-Order FEM.
CoRR
Xuanzhengbo Ren, Yuta Kawai, Tetsuya Hoshino, Hirofumi Tomita, Takahiro Katagiri, Daichi Mukunoki, Seiya Nishizawa
2026 — conf
Tensor-Core-Optimized Strategies for BLR × Tall-Skinny Matrix Multiplication in BEM.
SCA/HPC Asia
Akihiro Ida, Kazuya Goto, Rio Yokota, Tasuku Hiraishi, Toshihiro Hanawa, Takeshi Iwashita, Masatoshi Kawai, Satoshi Ohshima, Tetsuya Hoshino
2025 J jnl
3Dify: a Framework for Procedural 3D-CG Generation Assisted by LLMs Using MCP and RAG.
CoRR
Shun-ichiro Hayashi, Daichi Mukunoki, Tetsuya Hoshino, Satoshi Ohshima, Takahiro Katagiri
2025 — conf
An Algorithm Portfolio Approach for Parameter Tuning in Coherent Ising Machines.
CANDARW
Tatsuro Hanyu, Takahiro Katagiri, Daichi Mukunoki, Tetsuya Hoshino
2025 J jnl
Auto-Tuning Mixed-Precision Computation by Specifying Multiple Regions.
Concurr. Comput. Pract. Exp.
Xuanzhengbo Ren, Masatoshi Kawai, Tetsuya Hoshino, Takahiro Katagiri, Toru Nagai
2025 J jnl
Performance Evaluation of General Purpose Large Language Models for Basic Linear Algebra Subprograms Code Generation.
CoRR
Daichi Mukunoki, Shun-ichiro Hayashi, Tetsuya Hoshino, Takahiro Katagiri
2025 — conf
Performance Evaluation of Loop Body Splitting for Fast Modal Filtering in SCALE-DG on A64FX.
HPC Asia Workshops
Xuanzhengbo Ren, Yuta Kawai, Hirofumi Tomita, Seiya Nishizawa, Takahiro Katagiri, Tetsuya Hoshino, Daichi Mukunoki, Masatoshi Kawai, Toru Nagai
2025 J jnl
Towards Generalized Parameter Tuning in Coherent Ising Machines: A Portfolio-Based Approach.
CoRR
Tatsuro Hanyu, Takahiro Katagiri, Daichi Mukunoki, Tetsuya Hoshino
2025 J jnl
VibeCodeHPC: An Agent-Based Iterative Prompting Auto-Tuner for HPC Code Generation Using LLMs.
CoRR
Shun-ichiro Hayashi, Koki Morita, Daichi Mukunoki, Tetsuya Hoshino, Takahiro Katagiri
2024 — conf
Adaptation of XAI to Auto-tuning for Numerical Libraries.
MCSoC
Shota Aoki, Takahiro Katagiri, Satoshi Ohshima, Masatoshi Kawai, Toru Nagai, Tetsuya Hoshino
2024 J jnl
Adaptation of XAI to Auto-tuning for Numerical Libraries.
CoRR
Shota Aoki, Takahiro Katagiri, Satoshi Ohshima, Masatoshi Kawai, Toru Nagai, Tetsuya Hoshino
2024 — conf
Implementing Fast Modal Filtering of SCALE-DG.
CLUSTER Workshops
Xuanzhengbo Ren, Yuta Kawai, Hirofumi Tomita, Seiya Nishizawa, Takahiro Katagiri, Masatoshi Kawai, Tetsuya Hoshino, Toru Nagai
2024 — conf
Optimize Efficiency of Utilizing Systems by Dynamic Core Binding.
HPC Asia Workshops
Masatoshi Kawai, Akihiro Ida, Toshihiro Hanawa, Tetsuya Hoshino
2024 — conf
Performance Evaluation of CMOS Annealing with Support Vector Machine.
MCSoC
Ryoga Fukuhara, Makoto Morishita, Takahiro Katagiri, Masatoshi Kawai, Toru Nagai, Tetsuya Hoshino
2024 J jnl
Performance Evaluation of CMOS Annealing with Support Vector Machine.
CoRR
Ryoga Fukuhara, Makoto Morishita, Takahiro Katagiri, Masatoshi Kawai, Toru Nagai, Tetsuya Hoshino
2023 — conf
Auto-tuning Mixed-precision Computation by Specifying Multiple Regions.
candar
Xuanzhengbo Ren, Masatoshi Kawai, Tetsuya Hoshino, Takahiro Katagiri, Toru Nagai
2023 — conf
Implementation of Radio Wave Propagation using RT Cores and Consideration of Programming Models.
IPDPS Workshops
Shinya Hashinoki, Satoshi Ohshima, Takahiro Katagiri, Toru Nagai, Tetsuya Hoshino
2022 C conf
Optimizations of H-matrix-vector Multiplication for Modern Multi-core Processors.
CLUSTER
Tetsuya Hoshino, Akihiro Ida, Toshihiro Hanawa
2020 J jnl
Development of training environment for deep learning with medical images on supercomputer system based on asynchronous parallel Bayesian optimization.
J. Supercomput.
Yukihiro Nomura, Issei Sato, Toshihiro Hanawa, Shouhei Hanaoka, Takahiro Nakao, Tomomi Takenaga, Tetsuya Hoshino, Yuji Sekiya, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Osamu Abe
2020 J jnl
Repeated coordination with private learning.
J. Econ. Theory
Pathikrit Basu, Kalyan Chatterjee, Tetsuya Hoshino, Omer Tamuz
2018 — conf
Design of Parallel BEM Analyses Framework for SIMD Processors.
ICCS (1)
Tetsuya Hoshino, Akihiro Ida, Toshihiro Hanawa, Kengo Nakajima
2018 C conf
Load-Balancing-Aware Parallel Algorithms of H-Matrices with Adaptive Cross Approximation for GPUs.
CLUSTER
Tetsuya Hoshino, Akihiro Ida, Toshihiro Hanawa, Kengo Nakajima
2016 — conf
A Directive-Based Data Layout Abstraction for Performance Portability of OpenACC Applications.
HPCC/SmartCity/DSS
Tetsuya Hoshino, Naoya Maruyama, Satoshi Matsuoka
2014 — conf
An OpenACC extension for data layout transformation.
WACCPD@SC
Tetsuya Hoshino, Naoya Maruyama, Satoshi Matsuoka
2013 B conf
CUDA vs OpenACC: Performance Case Studies with Kernel Benchmarks and a Memory-Bound CFD Application.
CCGRID
Tetsuya Hoshino, Naoya Maruyama, Satoshi Matsuoka, Ryoji Takaki
2008 A* conf
Low-load server crawler: design and evaluation.
WWW
Katsuko T. Nakahira, Tetsuya Hoshino, Yoshiki Mikami
2006 A* conf
Geographic locations of web servers.
WWW
Katsuko T. Nakahira, Tetsuya Hoshino, Yoshiki Mikami
2004 J jnl
Evoked-cerebral blood oxygenation changes in false-negative activations in BOLD contrast functional MRI of patients with brain tumors.
NeuroImage
Norio Fujiwara, Kaoru Sakatani, Yoichi Katayama, Yoshihiro Murata, Tetsuya Hoshino, Chikashi Fukaya, Takamitsu Yamamoto