Rio Yokota

Получаване на мой собствен потребителски профил

Позовавания

	Всички	От 2020
Позовавания	2740	1580
h-индекс	27	20
i10-индекс	51	40

440

220

110

330

2009201020112012201320142015201620172018201920202021202220232024202513 26 76 108 116 110 108 123 127 117 183 235 254 284 307 426 73

Публичен достъп

Преглед на всички

16 статии

2 статии

налични

неналични

Въз основа на изисквания при финансирането

Съавтори

Lorena A BarbaProfessor, Mechanical and Aerospace Engineering, George Washington UniversityПотвърден имейл адрес: gwu.edu
David E. KeyesProfessor of Applied Mathematics and Computational Science, KAUSTПотвърден имейл адрес: columbia.edu
Kazuki OsawaGoogle DeepMindПотвърден имейл адрес: google.com
Huda IbeidIntelПотвърден имейл адрес: intel.com
Kenji YasuokaProfessor of Mechanical Engineering, Keio UniversityПотвърден имейл адрес: mech.keio.ac.jp
Satoshi MatsuokaRIKEN Center for Computational Science (R-CCS) / Tokyo Institute of TechnologyПотвърден имейл адрес: acm.org
Hirokatsu KataokaAIST / University of OxfordПотвърден имейл адрес: aist.go.jp
Shinnosuke ObiKeio UniversityПотвърден имейл адрес: mech.keio.ac.jp
Yuichiro UenoTokyo Institute of TechnologyПотвърден имейл адрес: m.titech.ac.jp
Mohammad Emtiyaz KhanCenter for Advanced Intelligence Project (AIP), RIKEN, TokyoПотвърден имейл адрес: postman.riken.jp
Mustafa AbduljabbarThe Ohio State UniversityПотвърден имейл адрес: osu.edu
Ichitaro YamazakiSandia National LabsПотвърден имейл адрес: sandia.gov
Hiroyuki OotomoNVIDIAПотвърден имейл адрес: nvidia.com
Shun IwaseCarnegie Mellon UniversityПотвърден имейл адрес: cs.cmu.edu
Kenjiro TauraProfessor of Computer Science, University of TokyoПотвърден имейл адрес: eidos.ic.i.u-tokyo.ac.jp
Hiroki NaganumaUniversité de Montréal, Mila - Quebec Artificial Intelligence Institute, PhD StudentПотвърден имейл адрес: mila.quebec
Richard E TurnerProfessor, University of CambridgeПотвърден имейл адрес: cam.ac.uk
Siddharth SwaroopPostdoctoral Fellow, Harvard UniversityПотвърден имейл адрес: seas.harvard.edu
Sora TakashimaTokyo Institute of TechnologyПотвърден имейл адрес: rio.gsic.titech.ac.jp
Ryosuke YamadaUniversity of TsukubaПотвърден имейл адрес: aist.go.jp

Следене

Rio Yokota

Professor, Institute of Science Tokyo

Потвърден имейл адрес: rio.scrc.iir.isct.ac.jp - Начална страница

high performance computing large scale deep learning hierarchical low-rank matrices GPU computing


Заглавие Сортиране по цитати Сортиране по година Сортиране по заглавие	Позовавания Позовавания	Година
Practical deep learning with Bayesian principles K Osawa, S Swaroop, MEE Khan, A Jain, R Eschenhagen, RE Turner, ... Advances in neural information processing systems 32, 2019	305	2019
42 TFlops hierarchical N-body simulations on GPUs with applications in both astrophysics and turbulence T Hamada, T Narumi, R Yokota, K Yasuoka, K Nitadori, M Taiji Proceedings of the Conference on High Performance Computing Networking …, 2009	184	2009
Large-scale distributed second-order optimization using kronecker-factored approximate curvature for deep convolutional neural networks K Osawa, Y Tsuji, Y Ueno, A Naruse, R Yokota, S Matsuoka Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	157*	2019
Petascale turbulence simulation using a highly parallel fast multipole method on GPUs R Yokota, LA Barba, T Narumi, K Yasuoka Computer Physics Communications 184 (3), 445-455, 2013	105	2013
Biomolecular electrostatics using a fast multipole BEM on up to 512 GPUs and a billion unknowns R Yokota, JP Bardhan, MG Knepley, LA Barba, T Hamada Computer Physics Communications 182 (6), 1272-1283, 2011	103	2011
PetRBF—A parallel O (N) algorithm for radial basis function interpolation with Gaussians R Yokota, LA Barba, MG Knepley Computer Methods in Applied Mechanics and Engineering 199 (25-28), 1793-1804, 2010	103	2010
Repose: Fast 6d object pose refinement via deep texture rendering S Iwase, X Liu, R Khirodkar, R Yokota, KM Kitani Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021	93	2021
A tuned and scalable fast multipole method as a preeminent algorithm for exascale systems R Yokota, LA Barba The International Journal of High Performance Computing Applications 26 (4 …, 2012	89	2012
An FMM based on dual tree traversal for many-core architectures R Yokota Journal of Algorithms & Computational Technology 7 (3), 301-324, 2013	83	2013
Fast multipole methods on a cluster of GPUs for the meshless simulation of turbulence R Yokota, T Narumi, R Sakamaki, S Kameoka, S Obi, K Yasuoka Computer Physics Communications 180 (11), 2066-2078, 2009	82	2009
Treecode and fast multipole method for N-body simulation with CUDA R Yokota, LA Barba GPU Computing Gems Emerald Edition, 113-132, 2011	74	2011
Hierarchical n-body simulations with autotuning for heterogeneous systems R Yokota, L Barba Computing in Science & Engineering 14 (3), 30-39, 2012	59	2012
Data‐driven execution of fast multipole methods H Ltaief, R Yokota Concurrency and Computation: Practice and Experience 26 (11), 1935-1946, 2014	52	2014
Exhaustive study of hierarchical allreduce patterns for large messages between GPUs Y Ueno, R Yokota 2019 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2019	51	2019
Calculation of isotropic turbulence using a pure Lagrangian vortex method R Yokota, TK Sheel, S Obi Journal of Computational Physics 226 (2), 1589-1606, 2007	51	2007
Recovering single precision accuracy from Tensor Cores while surpassing the FP32 theoretical peak performance H Ootomo, R Yokota The International Journal of High Performance Computing Applications 36 (4 …, 2022	44	2022
Scalable and practical natural gradient for large-scale deep learning K Osawa, Y Tsuji, Y Ueno, A Naruse, CS Foo, R Yokota IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (1), 404-415, 2020	43	2020
Continual pre-training for cross-lingual llm adaptation: Enhancing japanese language capabilities K Fujii, T Nakamura, M Loem, H Iida, M Ohi, K Hattori, H Shota, S Mizuki, ... arXiv preprint arXiv:2404.17790, 2024	41	2024
Replacing labeled real-image datasets with auto-generated contours H Kataoka, R Hayamizu, R Yamada, K Nakashima, S Takashima, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022	41	2022
How will the fast multipole method fare in the exascale era LA Barba, R Yokota SIAM News 46 (6), 1-3, 2013	39	2013

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