Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Jaroslav Ol'ha"'
Publikováno v:
Data in Brief, Vol 39, Iss , Pp 107631- (2021)
We have developed several autotuning benchmarks in CUDA that take into account performance-relevant source-code parameters and reach near peak-performance on various GPU architectures. We have used them during the development and evaluation of a sear
Externí odkaz:
https://doaj.org/article/18d5ea99c4e041b1adf14cc8b3d5c466
Autor:
Dalibor Trapl, Martin Krupička, Vladimír Višňovský, Jana Hozzová, Jaroslav Ol’ha, Aleš Křenek, Vojtěch Spiwok
Publikováno v:
Journal of Chemical Information and Modeling. 62:567-576
The accuracy of biomolecular simulations depends on the accuracy of an empirical molecular mechanics potential known as a force field: a set of parameters and expressions to estimate the potential from atomic coordinates. Accurate parametrization of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b3b69f3d8564be356e40aaa9fbc0509
https://doi.org/10.1021/acs.jcim.1c00651
https://doi.org/10.1021/acs.jcim.1c00651
Publikováno v:
Journal of Parallel and Distributed Computing. 160:16-35
Nowadays, GPU accelerators are commonly used to speed up general-purpose computing tasks on a variety of hardware. However, due to the diversity of GPU architectures and processed data, optimization of codes for a particular type of hardware and spec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c37aded5217258875dc0bf9e678fab6c
https://doi.org/10.1016/j.jpdc.2021.10.003
https://doi.org/10.1016/j.jpdc.2021.10.003
Publikováno v:
Data in Brief, Vol 39, Iss, Pp 107631-(2021)
Data in Brief
Data in Brief
We have developed several autotuning benchmarks in CUDA that take into account performance-relevant source-code parameters and reach near peak-performance on various GPU architectures. We have used them during the development and evaluation of a sear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02d57090faa737053013c0f813625d9c
http://www.sciencedirect.com/science/article/pii/S2352340921009069
http://www.sciencedirect.com/science/article/pii/S2352340921009069
Autor:
Jiří Filipovič, Filip Petrovič, Jaroslav Ol’ha, Jana Hozzová, Siegfried Benkner, Richard Trembecký, David Střelák
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
Future Generation Computer Systems
instname
Future Generation Computer Systems
© 2020.
In recent years, the heterogeneity of both commodity and supercomputers hardware has increased sharply. Accelerators, such as GPUs or Intel Xeon Phi co-processors, are often key to improving speed and energy efficiency of highly-paralle
In recent years, the heterogeneity of both commodity and supercomputers hardware has increased sharply. Accelerators, such as GPUs or Intel Xeon Phi co-processors, are often key to improving speed and energy efficiency of highly-paralle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3e4ec422659d874645825fc4f1e16b5
http://hdl.handle.net/10261/228604
http://hdl.handle.net/10261/228604
Publikováno v:
Information Systems. 100:101774
The main paradigm of similarity searching in metric spaces has remained mostly unchanged for decades — data objects are organized into a hierarchical structure according to their mutual distances, using representative pivots to reduce the number of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::38b65db7e90941ac6163983964880741
https://doi.org/10.1016/j.is.2021.101774
https://doi.org/10.1016/j.is.2021.101774