default search action
Takahiro Katagiri
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [i8]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) - [i7]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) - [i6]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) - [i5]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) - [i4]Takahiro Katagiri, Masahiko Sato:
An Auto-tuning Method for Run-time Data Transformation for Sparse Matrix-Vector Multiplication. CoRR abs/2407.00019 (2024) - [i3]Takahiro Katagiri, Yoshinori Ishii, Hiroki Honda:
RAO-SS: A Prototype of Run-time Auto-tuning Facility for Sparse Direct Solvers. CoRR abs/2408.11880 (2024) - [i2]Takahiro Katagiri:
ppOpen-AT: A Directive-base Auto-tuning Language. CoRR abs/2408.16607 (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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-09-30 00:08 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint