Tomáš Oberhuber
Czech Technical University in Prague
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Publication
Featured researches published by Tomáš Oberhuber.
Physical Review C | 2015
T. Dytrych; A. C. Hayes; Kristina D. Launey; J. P. Draayer; Pieter Maris; James P. Vary; Daniel Langr; Tomáš Oberhuber
We present an ab initio symmetry-adapted no-core shell-model description for
Computer Physics Communications | 2016
Petr Bauer; Vladimír Klement; Tomáš Oberhuber; Vítězslav Žabka
^{6}
Acta Polytechnica | 2014
Tomáš Oberhuber; Slavomír Kučera; Jakub Loucký; Lucie Súkupová
Li. We study the structure of the ground state of
Acta Physica Polonica B Proceedings Supplement | 2018
F. Knapp; T. Dytrych; Daniel Langr; Tomáš Oberhuber
^{6}
international conference on parallel processing | 2017
Daniel Langr; T. Dytrych; Tomáš Oberhuber; František Knapp
Li and the impact of the symmetry-guided space selection on the charge density components for this state in momentum space, including the effect of higher shells. We accomplish this by investigating the electron scattering charge form factor for momentum transfers up to
Journal of Physics: Conference Series | 2015
T. Dytrych; Kristina D. Launey; J. P. Draayer; Pieter Maris; James P. Vary; Daniel Langr; Tomáš Oberhuber
q \sim 4
arXiv: Distributed, Parallel, and Cluster Computing | 2010
Tomáš Oberhuber; Atsushi Suzuki; Jan Vacata
fm
Computing and Visualization in Science | 2009
Michal Beneš; Karol Mikula; Tomáš Oberhuber; Daniel Sevcovic
^{-1}
Kybernetika | 2011
Tomáš Oberhuber; Atsushi Suzuki; Vítezslav Zabka
. We demonstrate that this symmetry-adapted framework can achieve significantly reduced dimensions for equivalent large shell-model spaces while retaining the accuracy of the form factor for any momentum transfer. These new results confirm the previous outcomes for selected spectroscopy observables in light nuclei, such as binding energies, excitation energies, electromagnetic moments, E2 and M1 reduced transition probabilities, as well as point-nucleon matter rms radii.
Kybernetika | 2007
Tomáš Oberhuber
Abstract We present a complete GPU implementation of a geometric multigrid solver for the numerical solution of the Navier–Stokes equations for incompressible flow. The approximate solution is constructed on a two-dimensional unstructured triangular mesh. The problem is discretized by means of the mixed finite element method with semi-implicit timestepping. The linear saddle-point problem arising from the scheme is solved by the geometric multigrid method with a Vanka-type smoother. The parallel solver is based on the red–black coloring of the mesh triangles. We achieved a speed-up of 11 compared to a parallel (4 threads) code based on OpenMP and 19 compared to a sequential code.