Zobrazeno 1 - 10
of 220
pro vyhledávání: '"A. Holke"'
Today's scientific simulations, for example in the high-performance exascale sector, produce huge amounts of data. Due to limited I/O bandwidth and available storage space, there is the necessity to reduce scientific data of high performance computin
Externí odkaz:
http://arxiv.org/abs/2407.17316
We discuss parallel algorithms to gather topological information about off-process mesh neighbor elements. This information is commonly called the ghost layer, whose creation is a fundamental, necessary task in executing most parallel, element-based
Externí odkaz:
http://arxiv.org/abs/1910.10641
Autor:
Markus Flatken, Artur Podobas, Riccardo Fellegara, Achim Basermann, Johannes Holke, David Knapp, Max Kontak, Christian Krullikowski, Michael Nolde, Nick Brown, Rupert Nash, Gordon Gibb, Evgenij Belikov, Steven W. D. Chien, Stefano Markidis, Pierre Guillou, Julien Tierny, Jules Vidal, Charles Gueunet, Johannes Gunther, Miroslaw Pawlowski, Piero Poletti, Giorgio Guzzetta, Mattia Manica, Agnese Zardini, Jean-Pierre Chaboureau, Miguel Mendes, Adrian Cardil, Santiago Monedero, Joaquin Ramirez, Andreas Gerndt
Publikováno v:
IEEE Access, Vol 11, Pp 87805-87834 (2023)
Natural disasters and epidemics are unfortunate recurring events that lead to huge societal and economic loss. Recent advances in supercomputing can facilitate simulations of such scenarios in (or even ahead of) real-time, therefore supporting the de
Externí odkaz:
https://doaj.org/article/8ada4e4b2baa4f3688f17ff48c402082
Autor:
Holke, Johannes
In this thesis, we develop, discuss and implement algorithms for scalable parallel tree-based adaptive mesh refinement (AMR) using space-filling curves (SFCs). We create an AMR software that works independently of the used element type, such as for e
Externí odkaz:
http://arxiv.org/abs/1803.04970
Autor:
Kühn, Martin J.1 (AUTHOR) Martin.Kuehn@DLR.de, Holke, Johannes1 (AUTHOR), Lutz, Annette2 (AUTHOR), Thies, Jonas3 (AUTHOR), Röhrig-Zöllner, Melven1 (AUTHOR), Bleh, Alexander4 (AUTHOR), Backhaus, Jan4 (AUTHOR), Basermann, Achim1 (AUTHOR)
Publikováno v:
Journal of Supercomputing. Sep2023, Vol. 79 Issue 13, p14684-14706. 23p.
Autor:
Burstedde, Carsten, Holke, Johannes
In tree based adaptive mesh refinement, elements are partitioned between processes using a space filling curve. The curve establishes an ordering between all elements that derive from the same root element, the tree. When representing more complex ge
Externí odkaz:
http://arxiv.org/abs/1611.02929
Autor:
Burstedde, Carsten, Holke, Johannes
We introduce a space-filling curve for triangular and tetrahedral red-refinement that can be computed using bitwise interleaving operations similar to the well-known Z-order or Morton curve for cubical meshes. To store sufficient information for rand
Externí odkaz:
http://arxiv.org/abs/1509.04627
The Morton- or z-curve is one example for a space filling curve: Given a level of refinement L, it maps the interval [0, 2**dL) one-to-one to a set of d-dimensional cubes of edge length 2**-L that form a subdivision of the unit cube. Similar curves h
Externí odkaz:
http://arxiv.org/abs/1505.05055
Autor:
Jacob Holke
Publikováno v:
The Journal of Classics Teaching, Vol 20, Pp 101-104 (2019)
With the changes made in the new US Standards for Classical Language Learning, pedagogy needs to develop to better meet the updated standards for student learning. One of the major changes is that reading Latin is no longer the sole pursuit of a high
Externí odkaz:
https://doaj.org/article/fac892a5fdad4572969a21665dc89cf8
Autor:
Kaylie M. Holke
Publikováno v:
Perspectives of the ASHA Special Interest Groups. :1-13
Purpose: This review article explores the relationship between diagnosis of autism spectrum disorder and the recommendation to provide monolingual input. Method: A two-stage systematic search and review of the literature was performed. First, a compu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::196bf5566ce6b68c20f6c8fa9e944290
https://doi.org/10.1044/2023_persp-22-00264
https://doi.org/10.1044/2023_persp-22-00264