Takahiro Katagiri

77 papers A* 1C 2Misc 6Journal 24Unranked 38
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
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
Large-Scale FMO-MP2 Calculations of the Spike Protein Droplet Model.
J. Comput. Chem.
Hideo Doi, Tatsuya Nakano, Kota Sakakura, Kazuki Akisawa, Koji Okuwaki, Yoshinori Hirano, Eiji Yamamoto, Kenji Yasuoka, Satoshi Ohshima, Takahiro Katagiri, Yuji Mochizuki
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 J jnl
A Communication Avoiding and Reducing Algorithm for Symmetric Eigenproblem for Very Small Matrices.
CoRR
Takahiro Katagiri, Jun-ichi Iwata, Kazuyuki Uchida
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 J jnl
An Auto-tuning Method for Run-time Data Transformation for Sparse Matrix-Vector Multiplication.
CoRR
Takahiro Katagiri, Masahiko Sato
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
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
2024 J jnl
RAO-SS: A Prototype of Run-time Auto-tuning Facility for Sparse Direct Solvers.
CoRR
Takahiro Katagiri, Yoshinori Ishii, Hiroki Honda
2024 J jnl
Xabclib:A Fully Auto-tuned Sparse Iterative Solver.
CoRR
Takahiro Katagiri, Takao Sakurai, Mitsuyoshi Igai, Shoji Itoh, Satoshi Ohshima, Hisayasu Kuroda, Ken Naono, Kengo Nakajima
2024 J jnl
ppOpen-AT: A Directive-base Auto-tuning Language.
CoRR
Takahiro Katagiri
2023 — conf
Auto-tuning Mixed-precision Computation by Specifying Multiple Regions.
candar
Xuanzhengbo Ren, Masatoshi Kawai, Tetsuya Hoshino, Takahiro Katagiri, Toru Nagai
2023 J jnl
Autotuning by Changing Directives and Number of Threads in OpenMP using ppOpen-AT.
CoRR
Toma Sakurai, Satoshi Ohshima, 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
2023 C conf
Parallelization of Automatic Tuning for Hyperparameter Optimization of Pedestrian Route Prediction Applications using Machine Learning.
HPC Asia
Sorataro Fujika, Yuga Yajima, Teruo Tanaka, Akihiro Fujii, Yuka Kato, Satoshi Ohshima, Takahiro Katagiri
2022 — conf
Autotuning Power Consumption and Computation Accuracy using ppOpen-AT.
MCSoC
Shouhei Yamanashi, Hisashi Yashiro, Takahiro Katagiri, Toru Nagai, Satoshi Ohshima
2021 — conf
An Auto-tuning with Adaptation of A64 Scalable Vector Extension for SPIRAL.
IPDPS Workshops
Naruya Kitai, Daisuke Takahashi, Franz Franchetti, Takahiro Katagiri, Satoshi Ohshima, Toru Nagai
2021 — conf
Parallelization of GKV benchmark using OpenACC.
IPDPS Workshops
Makoto Morishita, Satoshi Ohshima, Takahiro Katagiri, Toru Nagai
2020 — conf
Performance Evaluation of Accurate Matrix-Matrix Multiplication on GPU Using Sparse Matrix Multiplications.
CANDAR (Workshops)
Fumiya Ishiguro, Takahiro Katagiri, Satoshi Ohshima, Toru Nagai
2019 — ch.
Application of Techniques for High-Performance Computing.
The Art of High Performance Computing for Computational Science, Vol. 1
Takahiro Katagiri
2019 — ch.
Basics of MPI Programming.
The Art of High Performance Computing for Computational Science, Vol. 1
Takahiro Katagiri
2019 — ch.
Basics of OpenMP Programming.
The Art of High Performance Computing for Computational Science, Vol. 1
Takahiro Katagiri
2019 — ch.
High-Performance Computing Basics.
The Art of High Performance Computing for Computational Science, Vol. 1
Takahiro Katagiri
2019 — ch.
Hybrid Parallelization Techniques.
The Art of High Performance Computing for Computational Science, Vol. 1
Takahiro Katagiri
2019 — conf
Performance Evaluation of the MODYLAS Application on Modern Multi-core and Many-Core Environments.
IPDPS Workshops
Satoshi Ohshima, Soichiro Suzuki, Tatsuya Sakashita, Masao Ogino, Takahiro Katagiri, Yoshimichi Andoh
2019 — conf
Performance Improvement of High-Speed File Transfer Over JHPCN.
DASC/PiCom/DataCom/CyberSciTech
Praphan Pavarangkoon, Takeshi Nanri, Ken T. Murata, Kazunori Yamamoto, Kazuya Muranaga, Takamichi Mizuhara, Keiichiro Fukazawa, Ryusuke Egawa, Takahiro Katagiri, Masao Ogino
2018 J jnl
A thread-level parallelization of pairwise additive potential and force calculations suitable for current many-core architectures.
J. Supercomput.
Yoshimichi Andoh, Soichiro Suzuki, Satoshi Ohshima, Tatsuya Sakashita, Masao Ogino, Takahiro Katagiri, Noriyuki Yoshii, Susumu Okazaki
2018 — conf
Auto-Tuning for the Era of Relatively High Bandwidth Memory Architectures: A Discussion Based on an FDM Application.
IPDPS Workshops
Takahiro Katagiri
2018 J jnl
Japanese Autotuning Research: Autotuning Languages and FFT.
Proc. IEEE
Takahiro Katagiri, Daisuke Takahashi
2018 C conf
Optimizing Forward Computation in Adjoint Method via Multi-level Blocking.
HPC Asia
Tomoya Ikeda, Shin-Ichi Ito, Hiromichi Nagao, Takahiro Katagiri, Toru Nagai, Masao Ogino
2018 — conf
Preconditioner Auto-Tuning Using Deep Learning for Sparse Iterative Algorithms.
CANDAR Workshops
Kenya Yamada, Takahiro Katagiri, Hiroyuki Takizawa, Kazuo Minami, Mitsuo Yokokawa, Toru Nagai, Masao Ogino
2018 — conf
Threaded Accurate Matrix-Matrix Multiplications with Sparse Matrix-Vector Multiplications.
IPDPS Workshops
Shuntaro Ichimura, Takahiro Katagiri, Katsuhisa Ozaki, Takeshi Ogita, Toru Nagai
2017 — conf
Auto-Tuning on NUMA and Many-Core Environments with an FDM Code.
IPDPS Workshops
Takahiro Katagiri, Satoshi Ohshima, Masaharu Matsumoto
2017 — conf
D-Spline Performance Tuning Method Flexibly Responsive to Execution Time Perturbation.
PPAM (1)
Guning Fan, Masayoshi Mochizuki, Akihiro Fujii, Teruo Tanaka, Takahiro Katagiri
2016 — conf
Auto-Tuning of Hybrid MPI/OpenMP Execution with Code Selection by ppOpen-AT.
IPDPS Workshops
Takahiro Katagiri, Masaharu Matsumoto, Satoshi Ohshima
2016 — conf
From FLOPS to BYTES: disruptive change in high-performance computing towards the post-moore era.
Conf. Computing Frontiers
Satoshi Matsuoka, Hideharu Amano, Kengo Nakajima, Koji Inoue, Tomohiro Kudoh, Naoya Maruyama, Kenjiro Taura, Takeshi Iwashita, Takahiro Katagiri, Toshihiro Hanawa, Toshio Endo
2016 — conf
Utilization and Expansion of ppOpen-AT for OpenACC.
IPDPS Workshops
Satoshi Ohshima, Takahiro Katagiri, Masaharu Matsumoto
2015 — conf
Directive-Based Auto-Tuning for the Finite Difference Method on the Xeon Phi.
IPDPS Workshops
Takahiro Katagiri, Satoshi Ohshima, Masaharu Matsumoto
2015 — conf
Enhancement of Incremental Performance Parameter Estimation on ppOpen-AT.
MCSoC
Riku Murata, Jun Irie, Akihiro Fujii, Teruo Tanaka, Takahiro Katagiri
2014 — conf
Auto-tuning of Computation Kernels from an FDM Code with ppOpen-AT.
MCSoC
Takahiro Katagiri, Satoshi Ohshima, Masaharu Matsumoto
2014 Misc conf
Implementation and Evaluation of an AMR Framework for FDM Applications.
ICCS
Masaharu Matsumoto, Futoshi Mori, Satoshi Ohshima, Hideyuki Jitsumoto, Takahiro Katagiri, Kengo Nakajima
2014 J jnl
Implementation of d-Spline-based incremental performance parameter estimation method with ppOpen-AT.
Sci. Program.
Teruo Tanaka, Ryo Otsuka, Akihiro Fujii, Takahiro Katagiri, Toshiyuki Imamura
2014 — conf
Performance Optimization of SpMV Using CRS Format by Considering OpenMP Scheduling on CPUs and MIC.
MCSoC
Satoshi Ohshima, Takahiro Katagiri, Masaharu Matsumoto
2013 Misc conf
A Mathematical Method for Online Autotuning of Power and Energy Consumption with Corrected Temperature Effects.
ICCS
Reiji Suda, Luo Cheng, Takahiro Katagiri
2013 Misc conf
A Sparse Matrix Library with Automatic Selection of Iterative Solvers and Preconditioners.
ICCS
Takao Sakurai, Takahiro Katagiri, Hisayasu Kuroda, Ken Naono, Mitsuyoshi Igai, Satoshi Ohshima
2012 — conf
A Smart Tuning Strategy for Restart Frequency of GMRES(
VECPAR
Takahiro Katagiri, Pierre-Yves Aquilanti, Serge G. Petiton
2012 — conf
Control Formats for Unsymmetric and Symmetric Sparse Matrix-Vector Multiplications on OpenMP Implementations.
VECPAR
Takahiro Katagiri, Takao Sakurai, Mitsuyoshi Igai, Satoshi Ohshima, Hisayasu Kuroda, Ken Naono, Kengo Nakajima
2012 — conf
Implementation and Evaluation of 3D Finite Element Method Application for CUDA.
VECPAR
Satoshi Ohshima, Masae Hayashi, Takahiro Katagiri, Kengo Nakajima
2012 — conf
SSG-AT: An Auto-tuning Method of Sparse Matrix-vector Multiplicataion for Semi-structured Grids - An Adaptation to OpenFOAM.
MCSoC
Satoshi Ito, Satoshi Ohshima, Takahiro Katagiri
2011 Misc conf
The Sixth International Workshop on Automatic Performance Tuning (iWAPT2011).
ICCS
Takahiro Katagiri, Richard W. Vuduc
2010 — conf
A Massively Parallel Dense Symmetric Eigensolver with Communication Splitting Multicasting Algorithm.
VECPAR
Takahiro Katagiri, Shoji Itoh
2010 — ch.
ABCLibScript: A Computer Language for Automatic Performance Tuning.
Software Automatic Tuning, From Concepts to State-of-the-Art Results
Takahiro Katagiri
2006 J jnl
ABCLibScript: a directive to support specification of an auto-tuning facility for numerical software.
Parallel Comput.
Takahiro Katagiri, Kenji Kise, Hiroki Honda, Toshitsugu Yuba
2006 J jnl
ABCLib_DRSSED: A parallel eigensolver with an auto-tuning facility.
Parallel Comput.
Takahiro Katagiri, Kenji Kise, Hiroki Honda, Toshitsugu Yuba
2006 — conf
Automatic Performance Tuning for the Multi-section with Multiple Eigenvalues Method for Symmetric Tridiagonal Eigenproblems.
PARA
Takahiro Katagiri, Christof Vömel, James Demmel
2006 — conf
Parallel Processing of Matrix Multiplication in a CPU and GPU Heterogeneous Environment.
VECPAR
Satoshi Ohshima, Kenji Kise, Takahiro Katagiri, Toshitsugu Yuba
2005 J jnl
A time-to-live based reservation algorithm on fully decentralized resource discovery in Grid computing.
Parallel Comput.
Sanya Tangpongprasit, Takahiro Katagiri, Kenji Kise, Hiroki Honda, Toshitsugu Yuba
2005 Misc conf
Evaluation of the Acknowledgment Reduction in a Software-DSM System.
PPAM
Kenji Kise, Takahiro Katagiri, Hiroki Honda, Toshitsugu Yuba
2005 A* conf
Towards scalable and simple software-DSM systems.
SOSP
Kenji Kise, Takahiro Katagiri, Hiroki Honda, Toshitsugu Yuba
2004 — conf
Effect of auto-tuning with user's knowledge for numerical software.
Conf. Computing Frontiers
Takahiro Katagiri, Kenji Kise, Hiroki Honda, Toshitsugu Yuba
2004 Misc conf
The SimCore/Alpha Functional Simulator.
WCAE
Kenji Kise, Takahiro Katagiri, Hiroki Honda, Toshitsugu Yuba
2003 — conf
FIBER: A Generalized Framework for Auto-tuning Software.
ISHPC
Takahiro Katagiri, Kenji Kise, Hiroaki Honda, Toshitsugu Yuba
2002 — conf
Knowledge Discovery in Auto-tuning Parallel Numerical Library.
Progress in Discovery Science
Hisayasu Kuroda, Takahiro Katagiri, Yasumasa Kanada
2002 — conf
Performance Evaluation of Parallel Gram-Schmidt Re-orthogonalization Methods.
VECPAR
Takahiro Katagiri
2001 J jnl
An efficient implementation of parallel eigenvalue computation for massively parallel processing.
Parallel Comput.
Takahiro Katagiri, Yasumasa Kanada
1999 — conf
A Parallel Implementation of Eigensolver and Its Performance.
PP
Takahiro Katagiri, Yasumasa Kanada