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Takahiro Katagiri
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2020 – today
- 2024
- [i6]Ryoga Fukuhara, Makoto Morishita, Takahiro Katagiri, Masatoshi Kawai, Toru Nagai, Tetsuya Hoshino:
Performance Evaluation of CMOS Annealing with Support Vector Machine. CoRR abs/2404.15752 (2024) - [i5]Takahiro Katagiri, Jun-ichi Iwata, Kazuyuki Uchida:
A Communication Avoiding and Reducing Algorithm for Symmetric Eigenproblem for Very Small Matrices. CoRR abs/2405.00326 (2024) - [i4]Takahiro Katagiri, Takao Sakurai, Mitsuyoshi Igai, Shoji Itoh, Satoshi Ohshima, Hisayasu Kuroda, Ken Naono, Kengo Nakajima:
Xabclib:A Fully Auto-tuned Sparse Iterative Solver. CoRR abs/2405.01599 (2024) - [i3]Shota Aoki, Takahiro Katagiri, Satoshi Ohshima, Masatoshi Kawai, Toru Nagai, Tetsuya Hoshino:
Adaptation of XAI to Auto-tuning for Numerical Libraries. CoRR abs/2405.10973 (2024) - [i2]Takahiro Katagiri, Masahiko Sato:
An Auto-tuning Method for Run-time Data Transformation for Sparse Matrix-Vector Multiplication. CoRR abs/2407.00019 (2024) - 2023
- [c41]Xuanzhengbo Ren, Masatoshi Kawai, Tetsuya Hoshino, Takahiro Katagiri, Toru Nagai:
Auto-tuning Mixed-precision Computation by Specifying Multiple Regions. candar 2023: 175-181 - [c40]Sorataro Fujika
, Yuga Yajima
, Teruo Tanaka
, Akihiro Fujii
, Yuka Kato
, Satoshi Ohshima
, Takahiro Katagiri
:
Parallelization of Automatic Tuning for Hyperparameter Optimization of Pedestrian Route Prediction Applications using Machine Learning. HPC Asia 2023: 96-105 - [c39]Shinya Hashinoki, Satoshi Ohshima, Takahiro Katagiri, Toru Nagai, Tetsuya Hoshino:
Implementation of Radio Wave Propagation using RT Cores and Consideration of Programming Models. IPDPS Workshops 2023: 673-681 - [i1]Toma Sakurai, Satoshi Ohshima, Takahiro Katagiri, Toru Nagai:
Autotuning by Changing Directives and Number of Threads in OpenMP using ppOpen-AT. CoRR abs/2312.05779 (2023) - 2022
- [c38]Shouhei Yamanashi, Hisashi Yashiro
, Takahiro Katagiri, Toru Nagai, Satoshi Ohshima:
Autotuning Power Consumption and Computation Accuracy using ppOpen-AT. MCSoC 2022: 208-215 - 2021
- [c37]Makoto Morishita, Satoshi Ohshima, Takahiro Katagiri, Toru Nagai:
Parallelization of GKV benchmark using OpenACC. IPDPS Workshops 2021: 723-729 - [c36]Naruya Kitai, Daisuke Takahashi
, Franz Franchetti, Takahiro Katagiri, Satoshi Ohshima, Toru Nagai:
An Auto-tuning with Adaptation of A64 Scalable Vector Extension for SPIRAL. IPDPS Workshops 2021: 789-797 - 2020
- [c35]Fumiya Ishiguro, Takahiro Katagiri, Satoshi Ohshima, Toru Nagai:
Performance Evaluation of Accurate Matrix-Matrix Multiplication on GPU Using Sparse Matrix Multiplications. CANDAR (Workshops) 2020: 178-184
2010 – 2019
- 2019
- [c34]Praphan Pavarangkoon
, Takeshi Nanri, Ken T. Murata, Kazunori Yamamoto, Kazuya Muranaga, Takamichi Mizuhara, Keiichiro Fukazawa, Ryusuke Egawa, Takahiro Katagiri, Masao Ogino:
Performance Improvement of High-Speed File Transfer Over JHPCN. DASC/PiCom/DataCom/CyberSciTech 2019: 1086-1089 - [c33]Satoshi Ohshima, Soichiro Suzuki, Tatsuya Sakashita
, Masao Ogino, Takahiro Katagiri, Yoshimichi Andoh
:
Performance Evaluation of the MODYLAS Application on Modern Multi-core and Many-Core Environments. IPDPS Workshops 2019: 787-796 - [p6]Takahiro Katagiri:
High-Performance Computing Basics. The Art of High Performance Computing for Computational Science, Vol. 1 2019: 1-25 - [p5]Takahiro Katagiri:
Basics of MPI Programming. The Art of High Performance Computing for Computational Science, Vol. 1 2019: 27-44 - [p4]Takahiro Katagiri:
Basics of OpenMP Programming. The Art of High Performance Computing for Computational Science, Vol. 1 2019: 45-59 - [p3]Takahiro Katagiri:
Hybrid Parallelization Techniques. The Art of High Performance Computing for Computational Science, Vol. 1 2019: 61-68 - [p2]Takahiro Katagiri:
Application of Techniques for High-Performance Computing. The Art of High Performance Computing for Computational Science, Vol. 1 2019: 69-81 - 2018
- [j7]Takahiro Katagiri
, Daisuke Takahashi
:
Japanese Autotuning Research: Autotuning Languages and FFT. Proc. IEEE 106(11): 2056-2067 (2018) - [j6]Yoshimichi Andoh
, Soichiro Suzuki, Satoshi Ohshima, Tatsuya Sakashita
, Masao Ogino, Takahiro Katagiri, Noriyuki Yoshii, Susumu Okazaki:
A thread-level parallelization of pairwise additive potential and force calculations suitable for current many-core architectures. J. Supercomput. 74(6): 2449-2469 (2018) - [c32]Tomoya Ikeda, Shin-Ichi Ito, Hiromichi Nagao, Takahiro Katagiri, Toru Nagai, Masao Ogino:
Optimizing Forward Computation in Adjoint Method via Multi-level Blocking. HPC Asia 2018: 98-107 - [c31]Kenya Yamada, Takahiro Katagiri, Hiroyuki Takizawa
, Kazuo Minami, Mitsuo Yokokawa
, Toru Nagai, Masao Ogino:
Preconditioner Auto-Tuning Using Deep Learning for Sparse Iterative Algorithms. CANDAR Workshops 2018: 257-262 - [c30]Takahiro Katagiri:
Auto-Tuning for the Era of Relatively High Bandwidth Memory Architectures: A Discussion Based on an FDM Application. IPDPS Workshops 2018: 1084-1092 - [c29]Shuntaro Ichimura, Takahiro Katagiri, Katsuhisa Ozaki, Takeshi Ogita, Toru Nagai:
Threaded Accurate Matrix-Matrix Multiplications with Sparse Matrix-Vector Multiplications. IPDPS Workshops 2018: 1093-1102 - 2017
- [c28]Takahiro Katagiri, Satoshi Ohshima, Masaharu Matsumoto:
Auto-Tuning on NUMA and Many-Core Environments with an FDM Code. IPDPS Workshops 2017: 1399-1407 - [c27]Guning Fan, Masayoshi Mochizuki, Akihiro Fujii, Teruo Tanaka, Takahiro Katagiri:
D-Spline Performance Tuning Method Flexibly Responsive to Execution Time Perturbation. PPAM (1) 2017: 381-391 - 2016
- [c26]Satoshi Matsuoka, Hideharu Amano, Kengo Nakajima, Koji Inoue, Tomohiro Kudoh, Naoya Maruyama, Kenjiro Taura
, Takeshi Iwashita, Takahiro Katagiri, Toshihiro Hanawa
, Toshio Endo:
From FLOPS to BYTES: disruptive change in high-performance computing towards the post-moore era. Conf. Computing Frontiers 2016: 274-281 - [c25]Takahiro Katagiri, Masaharu Matsumoto, Satoshi Ohshima:
Auto-Tuning of Hybrid MPI/OpenMP Execution with Code Selection by ppOpen-AT. IPDPS Workshops 2016: 1488-1495 - [c24]Satoshi Ohshima, Takahiro Katagiri, Masaharu Matsumoto:
Utilization and Expansion of ppOpen-AT for OpenACC. IPDPS Workshops 2016: 1496-1505 - 2015
- [c23]Takahiro Katagiri, Satoshi Ohshima, Masaharu Matsumoto:
Directive-Based Auto-Tuning for the Finite Difference Method on the Xeon Phi. IPDPS Workshops 2015: 1221-1230 - [c22]Riku Murata, Jun Irie, Akihiro Fujii, Teruo Tanaka, Takahiro Katagiri:
Enhancement of Incremental Performance Parameter Estimation on ppOpen-AT. MCSoC 2015: 203-210 - 2014
- [j5]Teruo Tanaka, Ryo Otsuka, Akihiro Fujii, Takahiro Katagiri, Toshiyuki Imamura:
Implementation of d-Spline-based incremental performance parameter estimation method with ppOpen-AT. Sci. Program. 22(4): 299-307 (2014) - [c21]Masaharu Matsumoto, Futoshi Mori, Satoshi Ohshima, Hideyuki Jitsumoto, Takahiro Katagiri, Kengo Nakajima:
Implementation and Evaluation of an AMR Framework for FDM Applications. ICCS 2014: 936-946 - [c20]Takahiro Katagiri, Satoshi Ohshima, Masaharu Matsumoto:
Auto-tuning of Computation Kernels from an FDM Code with ppOpen-AT. MCSoC 2014: 91-98 - [c19]Satoshi Ohshima, Takahiro Katagiri, Masaharu Matsumoto:
Performance Optimization of SpMV Using CRS Format by Considering OpenMP Scheduling on CPUs and MIC. MCSoC 2014: 253-260 - 2013
- [c18]Reiji Suda, Luo Cheng, Takahiro Katagiri:
A Mathematical Method for Online Autotuning of Power and Energy Consumption with Corrected Temperature Effects. ICCS 2013: 1302-1311 - [c17]Takao Sakurai, Takahiro Katagiri, Hisayasu Kuroda, Ken Naono, Mitsuyoshi Igai, Satoshi Ohshima:
A Sparse Matrix Library with Automatic Selection of Iterative Solvers and Preconditioners. ICCS 2013: 1332-1341 - 2012
- [c16]Satoshi Ito
, Satoshi Ohshima, Takahiro Katagiri:
SSG-AT: An Auto-tuning Method of Sparse Matrix-vector Multiplicataion for Semi-structured Grids - An Adaptation to OpenFOAM. MCSoC 2012: 191-197 - [c15]Satoshi Ohshima, Masae Hayashi, Takahiro Katagiri, Kengo Nakajima:
Implementation and Evaluation of 3D Finite Element Method Application for CUDA. VECPAR 2012: 140-148 - [c14]Takahiro Katagiri, Takao Sakurai, Mitsuyoshi Igai, Satoshi Ohshima, Hisayasu Kuroda, Ken Naono, Kengo Nakajima:
Control Formats for Unsymmetric and Symmetric Sparse Matrix-Vector Multiplications on OpenMP Implementations. VECPAR 2012: 236-248 - [c13]Takahiro Katagiri, Pierre-Yves Aquilanti, Serge G. Petiton:
A Smart Tuning Strategy for Restart Frequency of GMRES(m) with Hierarchical Cache Sizes. VECPAR 2012: 314-328 - 2011
- [c12]Takahiro Katagiri, Richard W. Vuduc
:
The Sixth International Workshop on Automatic Performance Tuning (iWAPT2011). ICCS 2011: 2124-2125 - 2010
- [c11]Takahiro Katagiri, Shoji Itoh:
A Massively Parallel Dense Symmetric Eigensolver with Communication Splitting Multicasting Algorithm. VECPAR 2010: 139-150 - [p1]Takahiro Katagiri:
ABCLibScript: A Computer Language for Automatic Performance Tuning. Software Automatic Tuning, From Concepts to State-of-the-Art Results 2010: 295-313
2000 – 2009
- 2006
- [j4]Takahiro Katagiri, Kenji Kise, Hiroki Honda, Toshitsugu Yuba:
ABCLibScript: a directive to support specification of an auto-tuning facility for numerical software. Parallel Comput. 32(1): 92-112 (2006) - [j3]Takahiro Katagiri, Kenji Kise, Hiroki Honda, Toshitsugu Yuba:
ABCLib_DRSSED: A parallel eigensolver with an auto-tuning facility. Parallel Comput. 32(3): 231-250 (2006) - [c10]Takahiro Katagiri, Christof Vömel, James Demmel:
Automatic Performance Tuning for the Multi-section with Multiple Eigenvalues Method for Symmetric Tridiagonal Eigenproblems. PARA 2006: 938-948 - [c9]Teruo Tanaka, Takahiro Katagiri, Toshitsugu Yuba:
d-Spline Based Incremental Parameter Estimation in Automatic Performance Tuning. PARA 2006: 986-995 - [c8]Satoshi Ohshima, Kenji Kise, Takahiro Katagiri, Toshitsugu Yuba:
Parallel Processing of Matrix Multiplication in a CPU and GPU Heterogeneous Environment. VECPAR 2006: 305-318 - 2005
- [j2]Sanya Tangpongprasit, Takahiro Katagiri, Kenji Kise, Hiroki Honda, Toshitsugu Yuba:
A time-to-live based reservation algorithm on fully decentralized resource discovery in Grid computing. Parallel Comput. 31(6): 529-543 (2005) - [c7]Kenji Kise, Takahiro Katagiri, Hiroki Honda, Toshitsugu Yuba:
Evaluation of the Acknowledgment Reduction in a Software-DSM System. PPAM 2005: 17-25 - 2004
- [c6]Takahiro Katagiri, Kenji Kise, Hiroki Honda, Toshitsugu Yuba:
Effect of auto-tuning with user's knowledge for numerical software. Conf. Computing Frontiers 2004: 12-25 - [c5]Kenji Kise, Takahiro Katagiri, Hiroki Honda, Toshitsugu Yuba:
The SimCore/Alpha Functional Simulator. WCAE 2004: 24 - 2003
- [c4]Takahiro Katagiri, Kenji Kise, Hiroaki Honda, Toshitsugu Yuba:
FIBER: A Generalized Framework for Auto-tuning Software. ISHPC 2003: 146-159 - 2002
- [c3]Hisayasu Kuroda, Takahiro Katagiri, Yasumasa Kanada:
Knowledge Discovery in Auto-tuning Parallel Numerical Library. Progress in Discovery Science 2002: 628-639 - [c2]Takahiro Katagiri:
Performance Evaluation of Parallel Gram-Schmidt Re-orthogonalization Methods. VECPAR 2002: 302-314 - 2001
- [j1]Takahiro Katagiri, Yasumasa Kanada:
An efficient implementation of parallel eigenvalue computation for massively parallel processing. Parallel Comput. 27(14): 1831-1845 (2001)
1990 – 1999
- 1999
- [c1]Takahiro Katagiri, Yasumasa Kanada:
A Parallel Implementation of Eigensolver and Its Performance. PP 1999
Coauthor Index
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