Tetsuya Hoshino

According to our database, Tetsuya Hoshino authored at least 28 papers between 2004 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Layer-wise MoE Routing Locality under Shared-Prefix Code Generation: Token-Identity Decomposition and Compile-Equivalent Fork Redundancy.

Shun-ichiro Hayashi, Daichi Mukunoki, Tetsuya Hoshino, Takahiro Katagiri

CoRR, April, 2026

Improving HPC Code Generation Capability of LLMs via Online Reinforcement Learning with Real-Machine Benchmark Rewards.

Ryo Mikasa, Shun-ichiro Hayashi, Daichi Mukunoki, Tetsuya Hoshino, Takahiro Katagiri

CoRR, February, 2026

Learning-Augmented Performance Model for Tensor Product Factorization in High-Order FEM.

Xuanzhengbo Ren, Yuta Kawai, Tetsuya Hoshino, Hirofumi Tomita, Takahiro Katagiri, Daichi Mukunoki, Seiya Nishizawa

IEEE Access, 2026

Tensor-Core-Optimized Strategies for BLR × Tall-Skinny Matrix Multiplication in BEM.

Akihiro Ida, Kazuya Goto, Rio Yokota, Tasuku Hiraishi, Toshihiro Hanawa, Takeshi Iwashita, Masatoshi Kawai, Satoshi Ohshima, Tetsuya Hoshino

Proceedings of the Supercomputing Asia and International Conference on High Performance Computing in Asia Pacific Region, 2026

Evaluating Claude Code's Coding and Test Automation for GPU Acceleration ofa Legacy Fortran Application: A GeoFEM Case Study.

Tetsuya Hoshino, Shun-ichiro Hayashi, Daichi Mukunoki, Takahiro Katagiri, Toshihiro Hanawa

Proceedings of the Supercomputing Asia and International Conference on High Performance Computing in Asia Pacific Region Workshops, 2026

2025

3Dify: a Framework for Procedural 3D-CG Generation Assisted by LLMs Using MCP and RAG.

Shun-ichiro Hayashi, Daichi Mukunoki, Tetsuya Hoshino, Satoshi Ohshima, Takahiro Katagiri

CoRR, October, 2025

VibeCodeHPC: An Agent-Based Iterative Prompting Auto-Tuner for HPC Code Generation Using LLMs.

Shun-ichiro Hayashi, Koki Morita, Daichi Mukunoki, Tetsuya Hoshino, Takahiro Katagiri

CoRR, October, 2025

Towards Generalized Parameter Tuning in Coherent Ising Machines: A Portfolio-Based Approach.

Tatsuro Hanyu, Takahiro Katagiri, Daichi Mukunoki, Tetsuya Hoshino

CoRR, July, 2025

Performance Evaluation of General Purpose Large Language Models for Basic Linear Algebra Subprograms Code Generation.

Daichi Mukunoki, Shun-ichiro Hayashi, Tetsuya Hoshino, Takahiro Katagiri

CoRR, July, 2025

Performance Evaluation of Loop Body Splitting for Fast Modal Filtering in SCALE-DG on A64FX.

Xuanzhengbo Ren, Yuta Kawai, Hirofumi Tomita, Seiya Nishizawa, Takahiro Katagiri, Tetsuya Hoshino, Daichi Mukunoki, Masatoshi Kawai, Toru Nagai

Proceedings of the 2025 International Conference on High Performance Computing in Asia-Pacific Region Workshops, 2025

An Algorithm Portfolio Approach for Parameter Tuning in Coherent Ising Machines.

Tatsuro Hanyu, Takahiro Katagiri, Daichi Mukunoki, Tetsuya Hoshino

Proceedings of the Thirteenth International Symposium on Computing and Networking, CANDAR 2025, 2025

2024

Performance Evaluation of CMOS Annealing with Support Vector Machine.

Ryoga Fukuhara, Makoto Morishita, Takahiro Katagiri, Masatoshi Kawai, Toru Nagai, Tetsuya Hoshino

Proceedings of the 17th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2024

Adaptation of XAI to Auto-tuning for Numerical Libraries.

Shota Aoki, Takahiro Katagiri, Satoshi Ohshima, Masatoshi Kawai, Toru Nagai, Tetsuya Hoshino

Proceedings of the 17th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2024

Optimize Efficiency of Utilizing Systems by Dynamic Core Binding.

Masatoshi Kawai, Akihiro Ida, Toshihiro Hanawa, Tetsuya Hoshino

Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region Workshops, 2024

Implementing Fast Modal Filtering of SCALE-DG.

Xuanzhengbo Ren, Yuta Kawai, Hirofumi Tomita, Seiya Nishizawa, Takahiro Katagiri, Masatoshi Kawai, Tetsuya Hoshino, Toru Nagai

Proceedings of the IEEE International Conference on Cluster Computing, 2024

2023

Implementation of Radio Wave Propagation using RT Cores and Consideration of Programming Models.

Shinya Hashinoki, Satoshi Ohshima, Takahiro Katagiri, Toru Nagai, Tetsuya Hoshino

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

Auto-tuning Mixed-precision Computation by Specifying Multiple Regions.

Xuanzhengbo Ren, Masatoshi Kawai, Tetsuya Hoshino, Takahiro Katagiri, Toru Nagai

Proceedings of the Eleventh International Symposium on Computing and Networking, CANDAR 2023, Matsue, Japan, November 28, 2023

2022

Optimizations of H-matrix-vector Multiplication for Modern Multi-core Processors.

Tetsuya Hoshino, Akihiro Ida, Toshihiro Hanawa

Proceedings of the IEEE International Conference on Cluster Computing, 2022

2020

Development of training environment for deep learning with medical images on supercomputer system based on asynchronous parallel Bayesian optimization.

Yukihiro Nomura, Issei Sato, Toshihiro Hanawa, Shouhei Hanaoka, Takahiro Nakao, Tomomi Takenaga, Tetsuya Hoshino, Yuji Sekiya, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Osamu Abe

J. Supercomput., 2020

Repeated coordination with private learning.

Pathikrit Basu, Kalyan Chatterjee, Tetsuya Hoshino, Omer Tamuz

J. Econ. Theory, 2020

2018

Design of Parallel BEM Analyses Framework for SIMD Processors.

Tetsuya Hoshino, Akihiro Ida, Toshihiro Hanawa, Kengo Nakajima

Proceedings of the Computational Science - ICCS 2018, 2018

Load-Balancing-Aware Parallel Algorithms of H-Matrices with Adaptive Cross Approximation for GPUs.

Tetsuya Hoshino, Akihiro Ida, Toshihiro Hanawa, Kengo Nakajima

Proceedings of the IEEE International Conference on Cluster Computing, 2018

2016

A Directive-Based Data Layout Abstraction for Performance Portability of OpenACC Applications.

Tetsuya Hoshino, Naoya Maruyama, Satoshi Matsuoka

Proceedings of the 18th IEEE International Conference on High Performance Computing and Communications; 14th IEEE International Conference on Smart City; 2nd IEEE International Conference on Data Science and Systems, 2016

2014

An OpenACC extension for data layout transformation.

Tetsuya Hoshino, Naoya Maruyama, Satoshi Matsuoka

Proceedings of the First Workshop on Accelerator Programming using Directives, 2014

2013

CUDA vs OpenACC: Performance Case Studies with Kernel Benchmarks and a Memory-Bound CFD Application.

Tetsuya Hoshino, Naoya Maruyama, Satoshi Matsuoka, Ryoji Takaki

Proceedings of the 13th IEEE/ACM International Symposium on Cluster, 2013

2008

Low-load server crawler: design and evaluation.

Katsuko T. Nakahira, Tetsuya Hoshino, Yoshiki Mikami

Proceedings of the 17th International Conference on World Wide Web, 2008

2006

Geographic locations of web servers.

Katsuko T. Nakahira, Tetsuya Hoshino, Yoshiki Mikami

Proceedings of the 15th international conference on World Wide Web, 2006

2004

Evoked-cerebral blood oxygenation changes in false-negative activations in BOLD contrast functional MRI of patients with brain tumors.

Norio Fujiwara, Kaoru Sakatani, Yoichi Katayama, Yoshihiro Murata, Tetsuya Hoshino, Chikashi Fukaya, Takamitsu Yamamoto

NeuroImage, 2004