Search results
- 1.0505344 - ÚJF 2020 RIV GB eng J - Journal Article
Langr, D. - Dytrych, Tomáš - Launey, K. D. - Draayer, J. P.
Accelerating many-nucleon basis generation for high performance computing enabled ab initio nuclear structure studies.
International Journal of High Performance Computing Applications. Roč. 33, č. 3 (2019), s. 522-533. ISSN 1094-3420. E-ISSN 1741-2846
R&D Projects: GA ČR GA16-16772S
Institutional support: RVO:61389005
Keywords : Ab initio * high performance computing * nuclear structure * many-nucleon basis generation * parallel algorithm * symmetry-adapted no-core shell model
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 2.365, year: 2019
Method of publishing: Limited access
https://doi.org/10.1177/1094342019838314
Permanent Link: http://hdl.handle.net/11104/0296791 - 2.0491174 - ÚJF 2019 RIV DE eng C - Conference Paper (international conference)
Langr, D. - Dytrych, Tomáš - Oberhuber, T. - Knapp, F.
Efficient parallel generation of many-nucleon basis for large-scale ab initio nuclear structure calculations.
Lecture Notes in Computer Science. Berlin: Springer Verlag, 2018, s. 341-350. ISBN 978-3-319-78054-2. ISSN 0302-9743.
[12th Internatnional Conference on Parallel Processing and Aplied Mathematics (PPAM 2017). Czestochowa (PL), 10.09.2017-13.09.2017]
R&D Projects: GA ČR GA16-16772S
Institutional support: RVO:61389005
Keywords : Ab initio * basis generation * many-nucleon basis * nuclear structure * parallel algorithm
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Permanent Link: http://hdl.handle.net/11104/0285219