Zobrazeno 1 - 10
of 89
pro vyhledávání: '"Toshiyuki, Imamura"'
Publikováno v:
Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::025a084fe910346cb55ef5881692a08c
https://doi.org/10.1145/3578178.3578222
https://doi.org/10.1145/3578178.3578222
Publikováno v:
Journal of the Audio Engineering Society. 69:542-556
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c902352ffd421f775b574dd518a81c2e
https://doi.org/10.17743/jaes.2021.0025
https://doi.org/10.17743/jaes.2021.0025
Autor:
Yuta Hasegawa, Toshiyuki Imamura, Takuya Ina, Naoyuki Onodera, Yuuichi Asahi, Yasuhiro Idomura
Publikováno v:
2022 IEEE/ACM Workshop on Latest Advances in Scalable Algorithms for Large-Scale Heterogeneous Systems (ScalAH).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7993c85fc064a0f41de98fc4d9689a48
https://doi.org/10.1109/scalah56622.2022.00007
https://doi.org/10.1109/scalah56622.2022.00007
Publikováno v:
COMPUTING AND INFORMATICS; Vol. 39 No. 6 (2020): Computing and Informatics; 1203–1228
The one-sided block Jacobi method (OSBJ) has attracted attention as a fast and accurate algorithm for the singular value decomposition (SVD). The computational kernel of OSBJ is orthogonalization of a column block pair, which amounts to computing the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7bce59b4e98bb572bac1576196f44e98
https://doi.org/10.31577/cai_2020_6_1203
https://doi.org/10.31577/cai_2020_6_1203
Publikováno v:
Supercomputing Frontiers ISBN: 9783031104183
The physical property of the Hubbard model can be understood by solving the eigenvalue problem for the Hamiltonian derived from the model. Since the Hamiltonian is a large sparse matrix, an iteration method is usually utilized for solving the problem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de149f470549b127647374ab6664585b
https://doi.org/10.1007/978-3-031-10419-0_1
https://doi.org/10.1007/978-3-031-10419-0_1
Publikováno v:
2021 IEEE 14th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80d8c4905a56df75bbf70757eead540d
https://doi.org/10.1109/mcsoc51149.2021.00042
https://doi.org/10.1109/mcsoc51149.2021.00042
Autor:
Steven Farrell, Murali Emani, Jacob Balma, Lukas Drescher, Aleksandr Drozd, Andreas Fink, Geoffrey Fox, David Kanter, Thorsten Kurth, Peter Mattson, Dawei Mu, Amit Ruhela, Kento Sato, Koichi Shirahata, Tsuguchika Tabaru, Aristeidis Tsaris, Jan Balewski, Ben Cumming, Takumi Danjo, Jens Domke, Takaaki Fukai, Naoto Fukumoto, Tatsuya Fukushi, Balazs Gerofi, Takumi Honda, Toshiyuki Imamura, Akihiko Kasagi, Kentaro Kawakami, Shuhei Kudo, Akiyoshi Kuroda, Maxime Martinasso, Satoshi Matsuoka, Henrique Mendonca, Kazuki Minami, Prabhat Ram, Takashi Sawada, Mallikarjun Shankar, Tom St. John, Akihiro Tabuchi, Venkatram Vishwanath, Mohamed Wahib, Masafumi Yamazaki, Junqi Yin
Scientific communities are increasingly adopting machine learning and deep learning models in their applications to accelerate scientific insights. High performance computing systems are pushing the frontiers of performance with a rich diversity of h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1d0a43c2f3602f2bf9c531d477eabaf
http://arxiv.org/abs/2110.11466
http://arxiv.org/abs/2110.11466
Publikováno v:
ICPP
Although IEEE 754-2008 binary128 (with a 15-bit exponent and 113-bit significand, i.e., quadruple-precision) is not currently implemented on x86 in hardware, software emulation is available on some compilers. However, the performance is significantly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::271f9dd743cd58b8a59d6e940c6da387
https://doi.org/10.1145/3472456.3472493
https://doi.org/10.1145/3472456.3472493
Autor:
Yuta Kawai, Chihiro Kodama, Toshiyuki Imamura, Takemasa Miyoshi, Masuo Nakano, Shuhei Kudo, Hirofumi Tomita, Masaki Satoh, Koji Terasaki, Kazuo Minami, Hisashi Yashiro
In parallel with the new Japanese flagship supercomputer, Fugaku, we have continued improving a nonhydrostatic icosahedral atmospheric model (NICAM). Here, we introduce the results of our system-application co-design since 2014. Fugaku's CPU (A64FX)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1100be7ca1f06802bdcccbaaa3828a16
https://doi.org/10.5194/egusphere-egu21-4771
https://doi.org/10.5194/egusphere-egu21-4771
Publikováno v:
Computational Science and Its Applications – ICCSA 2021 ISBN: 9783030866525
ICCSA (1)
ICCSA (1)
The Euclidean norm is widely used in scientific and engineering calculations. However, a straightforward implementation may cause overflow/underflow and loss of accuracy. The Blue algorithm selects a scaling value from three conditional branches acco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d95c6e31c7b31f0c830072dca492048e
https://doi.org/10.1007/978-3-030-86653-2_7
https://doi.org/10.1007/978-3-030-86653-2_7