Zobrazeno 1 - 10
of 80
pro vyhledávání: '"Reiji Suda"'
Publikováno v:
2022 Tenth International Symposium on Computing and Networking (CANDAR).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce6d569d402200e843efde1e543e1841
https://doi.org/10.1109/candar57322.2022.00030
https://doi.org/10.1109/candar57322.2022.00030
Autor:
Reiji Suda, Takashi Odagaki
We propose a simple method to determine the infection rate from the time dependence of the daily confirmed new cases, in which the logarithm of the rate is fitted by piece-wise quadratic functions. Exploiting this method, we analyze the time dependen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76f2f03db9bcfe9f61878b117f0476f7
https://doi.org/10.1101/2020.12.17.20248445
https://doi.org/10.1101/2020.12.17.20248445
Publikováno v:
HPC Asia
Matrix powers kernel calculates the vectors Akv, for k = 1, 2,..., m and they are the heart of various scientific computations, including communication avoiding iterative solvers. In this paper we propose diamond matrix powers kernel - DMPK, which ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::81cd2dc8a4d9452188b7c6f6841b6e1e
https://doi.org/10.1145/3368474.3368494
https://doi.org/10.1145/3368474.3368494
Autor:
Tong Wang, Reiji Suda
Publikováno v:
Proceedings of the ACM on Computer Graphics and Interactive Techniques. 1:1-18
Generating well-distributed Poisson-disk samples with a blue noise power spectrum on 3D meshes is required by a wide range of applications in computer graphics. We introduce a novel method called Progressive Sample Projection that can generate massiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1018986c9580fc110abfc2337dc9c9a1
https://doi.org/10.1145/3233310
https://doi.org/10.1145/3233310
Autor:
Reiji Suda, Takashi Akimoto
Publikováno v:
Journal of Environmental Engineering (Transactions of AIJ). 82:77-86
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::600f33a9de4b359693a38f83e207f721
https://doi.org/10.3130/aije.82.77
https://doi.org/10.3130/aije.82.77
Autor:
Daisuke Takahashi, Ryusuke Egawa, Hiroyuki Takizawa, Ayumu Gomi, Kazuhiko Komatsu, Reiji Suda
Publikováno v:
Concurrency and Computation: Practice and Experience. 32
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::120e49cef8d87818aab77433ba57585c
https://doi.org/10.1002/cpe.5577
https://doi.org/10.1002/cpe.5577
Publikováno v:
Advanced Software Technologies for Post-Peta Scale Computing ISBN: 9789811319235
Since different systems usually require different performance optimizations, an application code is likely “specialized” for a particular system configuration to fully extract the system performance. This is one major reason why migration of an e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::297ead0dd8e66dfb6474ce947da73774
https://doi.org/10.1007/978-981-13-1924-2_9
https://doi.org/10.1007/978-981-13-1924-2_9
Publikováno v:
IEEE BigData
Most machine learning models use hyperparameters empirically defined in advance of their training processes in a time-consuming and try-and-error fashion. Hence, there is a strong demand for systematically finding an appropriate hyperparameter config
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b0dcd24d3c39ee704caeb0b59e8a7e5
https://doi.org/10.1109/bigdata.2018.8622384
https://doi.org/10.1109/bigdata.2018.8622384
Publikováno v:
IPDPS Workshops
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6198f57f36197c900e12abc28900a1d7
https://doi.org/10.1109/ipdpsw.2018.00161
https://doi.org/10.1109/ipdpsw.2018.00161
Publikováno v:
Statistica Sinica.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de469dd0538a273e71db36a4d24c3d39
https://doi.org/10.5705/ss.202017.0138
https://doi.org/10.5705/ss.202017.0138