Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Jiří Filipovič"'
Autor:
Filip Petrovič, Jiří Filipovič
Publikováno v:
SoftwareX, Vol 22, Iss , Pp 101385- (2023)
Kernel Tuning Toolkit (KTT) is an autotuning framework for CUDA, OpenCL and Vulkan kernels. KTT provides advanced autotuning features such as support for both dynamic (online) and offline tuning, and an ability to tune multiple kernels together with
Externí odkaz:
https://doaj.org/article/ff6478ae80e94125879b020f890f6411
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
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
Publikováno v:
Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing.
Autor:
Filip Petrovič, Jiří Filipovič
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
Methods in molecular biology (Clifton, N.J.). 2266
Interactions between enzymes and small molecules lie in the center of many fundamental biochemical processes. Their analysis using molecular dynamics simulations have high computational demands, geometric approaches fail to consider chemical forces,
Publikováno v:
Methods in Molecular Biology ISBN: 9781071612088
Interactions between enzymes and small molecules lie in the center of many fundamental biochemical processes. Their analysis using molecular dynamics simulations have high computational demands, geometric approaches fail to consider chemical forces,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c74343acf780fab526f6936f711570c
https://doi.org/10.1007/978-1-0716-1209-5_6
https://doi.org/10.1007/978-1-0716-1209-5_6
Publikováno v:
Concurrency and Computation: Practice and Experience
Concurrency and Computation: Practice and Experience, Wiley, 2020, 32 (21), ⟨10.1002/cpe.5962⟩
Concurrency and Computation: Practice and Experience, Wiley, 2020, 32 (21), ⟨10.1002/cpe.5962⟩
International audience; Autotuning, the practice of automatic tuning of applications to provide performance portability, has received increased attention in the research community, especially in high performance computing. Ensuring high performance o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::174517ebd235b102c26f7b8f73a296d6
https://hal.archives-ouvertes.fr/hal-03607331/document
https://hal.archives-ouvertes.fr/hal-03607331/document
Publikováno v:
Electronics
Electronics, Vol 9, Iss 1040, p 1040 (2020)
Volume 9
Issue 6
Digital.CSIC. Repositorio Institucional del CSIC
instname
Electronics, Vol 9, Iss 1040, p 1040 (2020)
Volume 9
Issue 6
Digital.CSIC. Repositorio Institucional del CSIC
instname
© 2020 by the authors.
Cryogenic Electron Microscopy (Cryo-EM) has been established as one of the key players in Structural Biology. It can reconstruct a 3D model of the sample at the near-atomic resolution, which led to a Method of the year aw
Cryogenic Electron Microscopy (Cryo-EM) has been established as one of the key players in Structural Biology. It can reconstruct a 3D model of the sample at the near-atomic resolution, which led to a Method of the year aw
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