Zobrazeno 1 - 10
of 90
pro vyhledávání: '"Andreas Knüpfer"'
Autor:
Denis Hünich, Andreas Knüpfer
Publikováno v:
PeerJ Computer Science, Vol 9, p e1203 (2023)
The Partitioned Global Address Space (PGAS) library DASH provides C++ container classes for distributed N-dimensional structured grids. This article presents enhancements on top of the DASH library to support stencil operations and halo areas to conv
Externí odkaz:
https://doaj.org/article/003ad5abae344631a60011fda9ed8eda
Autor:
Rigel F. C. Alves, Andreas Knüpfer
Publikováno v:
PeerJ Computer Science, Vol 7, p e753 (2021)
This paper continues the work initiated by the authors on the feasibility of using ParaView as visualization software for the analysis of parallel Computational Fluid Dynamics (CFD) codes’ performance. Current performance tools have limited capacit
Externí odkaz:
https://doaj.org/article/551d8ec3fa05408f9ca5e5813f6e02a5
Publikováno v:
AIAA SCITECH 2023 Forum.
Autor:
Rigel F. C. Alves, Andreas Knüpfer
Publikováno v:
Supercomputing Frontiers and Innovations. 7
This paper continues the work initiated by the authors on the feasibility of using ParaView as visualization software for the analysis of parallel CFD codes’ performance. Current performance tools are unable to show their data on top of complex sim
Autor:
Leon Urbas, Markus Graube, Silke Merkelbach, Sebastian Heinze, Valentin Khaydarov, Andreas Knüpfer, Maximilian Knespel
Publikováno v:
ETFA
The introduction of AI methods in production or production-related environments meets with resistance from operators due to their lack of relevant experience and their responsibility for plant safety. To overcome these inhibitions one requires protot
Publikováno v:
CLUSTER
Nowadays, performance optimization is more or less an established procedure in high-performance computing (HPC) centers. To sustainably increase compute efficiency of such systems, we need to increase the awareness of efficiency on both the operator'
Autor:
Tobias Fuchs, Roger Kowalewski, Joseph Schuchart, Andreas Knüpfer, Karl Fürlinger, Pascal Jungblut, Denis Hünich, José Gracia
Publikováno v:
Software for Exascale Computing-SPPEXA 2016-2019 ISBN: 9783030479558
Software for Exascale Computing
Software for Exascale Computing
DASH is a new programming approach offering distributed data structures and parallel algorithms in the form of a C+ + template library. This article describes recent developments in the context of DASH concerning the ability to execute tasks with rem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0106a2a7f024c222cf53e9d46d3ad7b
https://doi.org/10.1007/978-3-030-47956-5_6
https://doi.org/10.1007/978-3-030-47956-5_6
Autor:
Andreas Knüpfer, Rigel F. C. Alves
Publikováno v:
Euro-Par 2019: Parallel Processing Workshops ISBN: 9783030483395
Euro-Par Workshops
Euro-Par Workshops
This paper aims at investigating the feasibility of using ParaView as visualization software for the analysis and optimization of parallel CFD codes’ performance. The currently available software tools for reading profiling data do not match the ge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26ce31aceeb6875bcb7ec66da3d0ccd6
https://doi.org/10.1007/978-3-030-48340-1_31
https://doi.org/10.1007/978-3-030-48340-1_31
Autor:
Richard Grunzke, Volker Hartmann, Andreas Knüpfer, Wolfgang E. Nagel, Thomas Jejkal, Rainer Stotzka, Thomas Ilsche, Maximilian Neumann
Publikováno v:
ICCS
Procedia computer science, 108, 2190-2199
Procedia computer science, 108, 2190-2199
Parallel and high performance computing experts are obsessed with performance and scalability. Performance analysis and tuning are important and complex but there are a number of software tools to support this. One methodology is the detailed recordi
Autor:
Christoph Niethammer, José Gracia, Tobias Hilbrich, Andreas Knüpfer, Michael M. Resch, Wolfgang E. Nagel
This book presents the proceedings of the 10th International Parallel Tools Workshop, held October 4-5, 2016 in Stuttgart, Germany – a forum to discuss the latest advances in parallel tools.High-performance computing plays an increasingly important