A Parallel Implementation of Eigensolver and Its Performance. - Takahiro Katagiri; Yasumasa Kanada (PP, 1999)

An efficient implementation of parallel eigenvalue computation for massively parallel processing. - Takahiro Katagiri; Yasumasa Kanada (Parallel Comput., 2001)

Knowledge Discovery in Auto-tuning Parallel Numerical Library. - Hisayasu Kuroda; Takahiro Katagiri; Yasumasa Kanada (Progress in Discovery Science, 2002)

Performance Evaluation of Parallel Gram-Schmidt Re-orthogonalization Methods. - Takahiro Katagiri (VECPAR, 2002)

FIBER: A Generalized Framework for Auto-tuning Software. - Takahiro Katagiri; Kenji Kise; Hiroaki Honda; Toshitsugu Yuba (ISHPC, 2003)

Effect of auto-tuning with user's knowledge for numerical software. - Takahiro Katagiri; Kenji Kise; Hiroki Honda; Toshitsugu Yuba (Conf. Computing Frontiers, 2004)

The SimCore/Alpha Functional Simulator. - Kenji Kise; Takahiro Katagiri; Hiroki Honda; Toshitsugu Yuba (WCAE, 2004)

Evaluation of the Acknowledgment Reduction in a Software-DSM System. - Kenji Kise; Takahiro Katagiri; Hiroki Honda; Toshitsugu Yuba (PPAM, 2005)

Towards scalable and simple software-DSM systems. - Kenji Kise; Takahiro Katagiri; Hiroki Honda; Toshitsugu Yuba (SOSP, 2005)

A time-to-live based reservation algorithm on fully decentralized resource discovery in Grid computing. - Sanya Tangpongprasit; Takahiro Katagiri; Kenji Kise; Hiroki Honda; Toshitsugu Yuba (Parallel Comput., 2005)

Automatic Performance Tuning for the Multi-section with Multiple Eigenvalues Method for Symmetric Tridiagonal Eigenproblems. - Takahiro Katagiri; Christof Vömel; James Demmel (PARA, 2006)

d-Spline Based Incremental Parameter Estimation in Automatic Performance Tuning. - Teruo Tanaka; Takahiro Katagiri; Toshitsugu Yuba (PARA, 2006)

Parallel Processing of Matrix Multiplication in a CPU and GPU Heterogeneous Environment. - Satoshi Ohshima; Kenji Kise; Takahiro Katagiri; Toshitsugu Yuba (VECPAR, 2006)

ABCLibScript: a directive to support specification of an auto-tuning facility for numerical software. - Takahiro Katagiri; Kenji Kise; Hiroki Honda; Toshitsugu Yuba (Parallel Comput., 2006)

ABCLib_DRSSED: A parallel eigensolver with an auto-tuning facility. - Takahiro Katagiri; Kenji Kise; Hiroki Honda; Toshitsugu Yuba (Parallel Comput., 2006)

ABCLibScript: A Computer Language for Automatic Performance Tuning. - Takahiro Katagiri (Software Automatic Tuning, From Concepts to State-of-the-Art Results, 2010)

A Massively Parallel Dense Symmetric Eigensolver with Communication Splitting Multicasting Algorithm. - Takahiro Katagiri; Shoji Itoh (VECPAR, 2010)

The Sixth International Workshop on Automatic Performance Tuning (iWAPT2011). - Takahiro Katagiri; Richard W. Vuduc (ICCS, 2011)

SSG-AT: An Auto-tuning Method of Sparse Matrix-vector Multiplicataion for Semi-structured Grids - An Adaptation to OpenFOAM. - Satoshi Ito; Satoshi Ohshima; Takahiro Katagiri (MCSoC, 2012)

A Smart Tuning Strategy for Restart Frequency of GMRES(m) with Hierarchical Cache Sizes. - Takahiro Katagiri; Pierre-Yves Aquilanti; Serge G. Petiton (VECPAR, 2012)

Control Formats for Unsymmetric and Symmetric Sparse Matrix-Vector Multiplications on OpenMP Implementations. - Takahiro Katagiri; Takao Sakurai; Mitsuyoshi Igai; Satoshi Ohshima; Hisayasu Kuroda; Ken Naono; Kengo Nakajima (VECPAR, 2012)

Implementation and Evaluation of 3D Finite Element Method Application for CUDA. - Satoshi Ohshima; Masae Hayashi; Takahiro Katagiri; Kengo Nakajima (VECPAR, 2012)

A Sparse Matrix Library with Automatic Selection of Iterative Solvers and Preconditioners. - Takao Sakurai; Takahiro Katagiri; Hisayasu Kuroda; Ken Naono; Mitsuyoshi Igai; Satoshi Ohshima (ICCS, 2013)

A Mathematical Method for Online Autotuning of Power and Energy Consumption with Corrected Temperature Effects. - Reiji Suda; Luo Cheng; Takahiro Katagiri (ICCS, 2013)

Implementation and Evaluation of an AMR Framework for FDM Applications. - Masaharu Matsumoto; Futoshi Mori; Satoshi Ohshima; Hideyuki Jitsumoto; Takahiro Katagiri; Kengo Nakajima (ICCS, 2014)

Auto-tuning of Computation Kernels from an FDM Code with ppOpen-AT. - Takahiro Katagiri; Satoshi Ohshima; Masaharu Matsumoto (MCSoC, 2014)

Performance Optimization of SpMV Using CRS Format by Considering OpenMP Scheduling on CPUs and MIC. - Satoshi Ohshima; Takahiro Katagiri; Masaharu Matsumoto (MCSoC, 2014)

Implementation of d-Spline-based incremental performance parameter estimation method with ppOpen-AT. - Teruo Tanaka; Ryo Otsuka; Akihiro Fujii; Takahiro Katagiri; Toshiyuki Imamura (Sci. Program., 2014)

Directive-Based Auto-Tuning for the Finite Difference Method on the Xeon Phi. - Takahiro Katagiri; Satoshi Ohshima; Masaharu Matsumoto (IPDPS Workshops, 2015)

Enhancement of Incremental Performance Parameter Estimation on ppOpen-AT. - Riku Murata; Jun Irie; Akihiro Fujii; Teruo Tanaka; Takahiro Katagiri (MCSoC, 2015)

From FLOPS to BYTES: disruptive change in high-performance computing towards the post-moore era. - Satoshi Matsuoka; Hideharu Amano; Kengo Nakajima; Koji Inoue; Tomohiro Kudoh; Naoya Maruyama; Kenjiro Taura; Takeshi Iwashita; Takahiro Katagiri; Toshihiro Hanawa; Toshio Endo (Conf. Computing Frontiers, 2016)

Auto-Tuning of Hybrid MPI/OpenMP Execution with Code Selection by ppOpen-AT. - Takahiro Katagiri; Masaharu Matsumoto; Satoshi Ohshima (IPDPS Workshops, 2016)

Utilization and Expansion of ppOpen-AT for OpenACC. - Satoshi Ohshima; Takahiro Katagiri; Masaharu Matsumoto (IPDPS Workshops, 2016)

Auto-Tuning on NUMA and Many-Core Environments with an FDM Code. - Takahiro Katagiri; Satoshi Ohshima; Masaharu Matsumoto (IPDPS Workshops, 2017)

D-Spline Performance Tuning Method Flexibly Responsive to Execution Time Perturbation. - Guning Fan; Masayoshi Mochizuki; Akihiro Fujii; Teruo Tanaka; Takahiro Katagiri (PPAM (1), 2017)

Optimizing Forward Computation in Adjoint Method via Multi-level Blocking. - Tomoya Ikeda; Shin-Ichi Ito; Hiromichi Nagao; Takahiro Katagiri; Toru Nagai; Masao Ogino (HPC Asia, 2018)

Preconditioner Auto-Tuning Using Deep Learning for Sparse Iterative Algorithms. - Kenya Yamada; Takahiro Katagiri; Hiroyuki Takizawa; Kazuo Minami; Mitsuo Yokokawa; Toru Nagai; Masao Ogino (CANDAR Workshops, 2018)

Threaded Accurate Matrix-Matrix Multiplications with Sparse Matrix-Vector Multiplications. - Shuntaro Ichimura; Takahiro Katagiri; Katsuhisa Ozaki; Takeshi Ogita; Toru Nagai (IPDPS Workshops, 2018)

Auto-Tuning for the Era of Relatively High Bandwidth Memory Architectures: A Discussion Based on an FDM Application. - Takahiro Katagiri (IPDPS Workshops, 2018)

Japanese Autotuning Research: Autotuning Languages and FFT. - Takahiro Katagiri; Daisuke Takahashi (Proc. IEEE, 2018)

A thread-level parallelization of pairwise additive potential and force calculations suitable for current many-core architectures. - Yoshimichi Andoh; Soichiro Suzuki; Satoshi Ohshima; Tatsuya Sakashita; Masao Ogino; Takahiro Katagiri; Noriyuki Yoshii; Susumu Okazaki (J. Supercomput., 2018)

High-Performance Computing Basics. - Takahiro Katagiri (The Art of High Performance Computing for Computational Science, Vol. 1, 2019)

Basics of MPI Programming. - Takahiro Katagiri (The Art of High Performance Computing for Computational Science, Vol. 1, 2019)

Basics of OpenMP Programming. - Takahiro Katagiri (The Art of High Performance Computing for Computational Science, Vol. 1, 2019)

Hybrid Parallelization Techniques. - Takahiro Katagiri (The Art of High Performance Computing for Computational Science, Vol. 1, 2019)

Application of Techniques for High-Performance Computing. - Takahiro Katagiri (The Art of High Performance Computing for Computational Science, Vol. 1, 2019)

Performance Improvement of High-Speed File Transfer Over JHPCN. - Praphan Pavarangkoon; Takeshi Nanri; Ken T. Murata; Kazunori Yamamoto; Kazuya Muranaga; Takamichi Mizuhara; Keiichiro Fukazawa; Ryusuke Egawa; Takahiro Katagiri; Masao Ogino (DASC/PiCom/DataCom/CyberSciTech, 2019)

Performance Evaluation of the MODYLAS Application on Modern Multi-core and Many-Core Environments. - Satoshi Ohshima; Soichiro Suzuki; Tatsuya Sakashita; Masao Ogino; Takahiro Katagiri; Yoshimichi Andoh (IPDPS Workshops, 2019)

Performance Evaluation of Accurate Matrix-Matrix Multiplication on GPU Using Sparse Matrix Multiplications. - Fumiya Ishiguro; Takahiro Katagiri; Satoshi Ohshima; Toru Nagai (CANDAR (Workshops), 2020)

An Auto-tuning with Adaptation of A64 Scalable Vector Extension for SPIRAL. - Naruya Kitai; Daisuke Takahashi; Franz Franchetti; Takahiro Katagiri; Satoshi Ohshima; Toru Nagai (IPDPS Workshops, 2021)

Parallelization of GKV benchmark using OpenACC. - Makoto Morishita; Satoshi Ohshima; Takahiro Katagiri; Toru Nagai (IPDPS Workshops, 2021)

Autotuning Power Consumption and Computation Accuracy using ppOpen-AT. - Shouhei Yamanashi; Hisashi Yashiro; Takahiro Katagiri; Toru Nagai; Satoshi Ohshima (MCSoC, 2022)

Parallelization of Automatic Tuning for Hyperparameter Optimization of Pedestrian Route Prediction Applications using Machine Learning. - Sorataro Fujika; Yuga Yajima; Teruo Tanaka; Akihiro Fujii; Yuka Kato; Satoshi Ohshima; Takahiro Katagiri (HPC Asia, 2023)

Implementation of Radio Wave Propagation using RT Cores and Consideration of Programming Models. - Shinya Hashinoki; Satoshi Ohshima; Takahiro Katagiri; Toru Nagai; Tetsuya Hoshino (IPDPS Workshops, 2023)

Autotuning by Changing Directives and Number of Threads in OpenMP using ppOpen-AT. - Toma Sakurai; Satoshi Ohshima; Takahiro Katagiri; Toru Nagai (CoRR, 2023)

Implementing Fast Modal Filtering of SCALE-DG. - Xuanzhengbo Ren; Yuta Kawai; Hirofumi Tomita; Seiya Nishizawa; Takahiro Katagiri; Masatoshi Kawai; Tetsuya Hoshino; Toru Nagai (CLUSTER Workshops, 2024)

Adaptation of XAI to Auto-tuning for Numerical Libraries. - Shota Aoki; Takahiro Katagiri; Satoshi Ohshima; Masatoshi Kawai; Toru Nagai; Tetsuya Hoshino (MCSoC, 2024)

Performance Evaluation of CMOS Annealing with Support Vector Machine. - Ryoga Fukuhara; Makoto Morishita; Takahiro Katagiri; Masatoshi Kawai; Toru Nagai; Tetsuya Hoshino (MCSoC, 2024)

A Communication Avoiding and Reducing Algorithm for Symmetric Eigenproblem for Very Small Matrices. - Takahiro Katagiri; Jun-ichi Iwata; Kazuyuki Uchida (CoRR, 2024)

Xabclib:A Fully Auto-tuned Sparse Iterative Solver. - Takahiro Katagiri; Takao Sakurai; Mitsuyoshi Igai; Shoji Itoh; Satoshi Ohshima; Hisayasu Kuroda; Ken Naono; Kengo Nakajima (CoRR, 2024)

An Auto-tuning Method for Run-time Data Transformation for Sparse Matrix-Vector Multiplication. - Takahiro Katagiri; Masahiko Sato 010 (CoRR, 2024)

RAO-SS: A Prototype of Run-time Auto-tuning Facility for Sparse Direct Solvers. - Takahiro Katagiri; Yoshinori Ishii; Hiroki Honda (CoRR, 2024)

ppOpen-AT: A Directive-base Auto-tuning Language. - Takahiro Katagiri (CoRR, 2024)

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 (HPC Asia Workshops, 2025)

Large-Scale FMO-MP2 Calculations of the Spike Protein Droplet Model. - Hideo Doi; Tatsuya Nakano; Kota Sakakura; Kazuki Akisawa; Koji Okuwaki; Yoshinori Hirano; Eiji Yamamoto; Kenji Yasuoka; Satoshi Ohshima; Takahiro Katagiri; Yuji Mochizuki (J. Comput. Chem., 2025)

Auto-Tuning Mixed-Precision Computation by Specifying Multiple Regions. - Xuanzhengbo Ren; Masatoshi Kawai; Tetsuya Hoshino; Takahiro Katagiri; Toru Nagai (Concurr. Comput. Pract. Exp., 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, 2025)

Towards Generalized Parameter Tuning in Coherent Ising Machines: A Portfolio-Based Approach. - Tatsuro Hanyu; Takahiro Katagiri; Daichi Mukunoki; Tetsuya Hoshino (CoRR, 2025)