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pro vyhledávání: '"petascale"'
Akademický článek
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Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2015 Oct . 112(41), 12633-12638.
Externí odkaz:
https://www.jstor.org/stable/26465472
Autor:
Al-Awami, Ali K.
We explore visualization and abstraction approaches to represent neuronal data. Neuroscientists acquire electron microscopy volumes to reconstruct a complete wiring diagram of the neurons in the brain, called the connectome. This will be crucial to u
Externí odkaz:
http://hdl.handle.net/10754/623401
http://repository.kaust.edu.sa/kaust/handle/10754/623401
http://repository.kaust.edu.sa/kaust/handle/10754/623401
Autor:
Senol Piskin, E. Fatih Yetkin
Publikováno v:
Computing. 103:2687-2709
Computational capabilities of the largest high performance computing systems have increased by more than 100 folds in the last 10 years and keep increasing substantially every year. This increase is made possible mostly by multi-core technology besid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8fd41c29f7b669cc62ee7c102d3145c
https://doi.org/10.1007/s00607-021-00976-0
https://doi.org/10.1007/s00607-021-00976-0
Autor:
Freddie D. Witherden
Publikováno v:
Computing in Science & Engineering. 23:29-37
In this work, we make the case for Python as a first-class language for high-performance computing (HPC) applications. Our rationale is based on three trends: an increasing desire for applications to be user friendly; the shift toward such applicatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93b3d632eb4afb0b62613ba589e01a7b
https://doi.org/10.1109/mcse.2021.3080126
https://doi.org/10.1109/mcse.2021.3080126
Publikováno v:
Journal of Electronic Testing. 37:409-422
An extensive survey of the literature shows that the Lanczos eigensolver is a popular iterative method for approximating a few maximal eigenvalues of a real symmetric matrix, particularly if the matrix is large and sparse. In recent years, graphics p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c57e6b702b46dbfbc718726afaaf751
https://doi.org/10.1007/s10836-021-05945-1
https://doi.org/10.1007/s10836-021-05945-1
Publikováno v:
Data Science Journal, Vol 12, Pp 23-32 (2013)
Petascale data management and analysis remain one of the main unresolved challenges in today's computing. The 6th Extremely Large Databases workshop was convened alongside the XLDB conference to discuss the challenges in the health care, biology, and
Externí odkaz:
https://doaj.org/article/430d5583c9fc49d695ca1b25be49a565
Publikováno v:
IET Software. 14:319-327
Exascale computing systems (ECS) are anticipated to perform at Exaflop speed (1018 operations per second) using power consumption
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9c37e916b502fc9a8d99a07686854e1
https://doi.org/10.1049/iet-sen.2018.5062
https://doi.org/10.1049/iet-sen.2018.5062
Autor:
Haomin Yuan, Elia Merzari, Dillon Shaver, Alper Yildiz, Yassin A. Hassan, Giacomo Busco, Yiqi Yu, Stefan Kerkemeier, Javier Martínez, Misun Min, Paul Fischer, Aleksandr Obabko, Lambert Fick, Landon Brockmeyer
Publikováno v:
Nuclear Technology. 206:1308-1324
At the beginning of the last decade, Petascale supercomputers (i.e., computers capable of more than 1 petaFLOP) emerged. Now, at the dawn of exascale supercomputing, we provide a review of recent l...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fefe710807655b0f92bc66d37b3c38ca
https://doi.org/10.1080/00295450.2020.1748557
https://doi.org/10.1080/00295450.2020.1748557
Publikováno v:
Journal of Parallel and Distributed Computing. 136:63-74
FFT, FMM, and multigrid methods are widely used fast and highly scalable solvers for elliptic PDEs. However, emerging large-scale computing systems are introducing challenges in comparison to current petascale computers. Recent efforts (Dongarra et a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5791254abb41c31fb1ac7d628cf6911b
https://doi.org/10.1016/j.jpdc.2019.09.014
https://doi.org/10.1016/j.jpdc.2019.09.014