Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Jens Henrik Göbbert"'
Autor:
Moritz Waldmann, Alice Grosch, Christian Witzler, Matthias Lehner, Odo Benda, Walter Koch, Klaus Vogt, Christopher Kohn, Wolfgang Schröder, Jens Henrik Göbbert, Andreas Lintermann
Publikováno v:
Medical & biological engineering & computing 60(2), 365-391 (2021). doi:10.1007/s11517-021-02446-3
Medical & Biological Engineering & Computing
Medical & Biological Engineering & Computing
Medical & biological engineering & computing (2021). doi:10.1007/s11517-021-02446-3
Published by [s.n.], [S.I.]
Published by [s.n.], [S.I.]
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbba037778ca5d5a03aa3a1c609413e9
https://hdl.handle.net/2128/30603
https://hdl.handle.net/2128/30603
Publikováno v:
8th European Medical and Biological Engineering Conference ISBN: 9783030646097
Springer, Cham 80, 57-65 (2021). doi:10.1007/978-3-030-64610-3_8
8th European Medical and Biological Engineering Conference, EMBEC 2020, Portoroz, Slovenia, 2020-11-29-2020-12-03
Springer, Cham 80, 57-65 (2021). doi:10.1007/978-3-030-64610-3_8
8th European Medical and Biological Engineering Conference, EMBEC 2020, Portoroz, Slovenia, 2020-11-29-2020-12-03
Benefiting and accessing high-performance computing resources can be quite difficult. Unlike domain scientists with a background in computational science, non-experts coming from, e.g., various medical fields, have almost no chance to run numerical s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::637ce84a0f584327890501a72863fb19
https://doi.org/10.1007/978-3-030-64610-3_8
https://doi.org/10.1007/978-3-030-64610-3_8
Autor:
YoussefMesri, Elie Hachem, Jens Henrik Göbbert, Guillaume Houzeaux, Mariano Vázquez, Vishal Mehta, Yvan Fournier, R. Borrell, Marta Garcia-Gasulla, Herbert Owen
Publikováno v:
Computational Fluid Dynamics-Basic Instruments and Applications in Science
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
London : InTech 4-41 (2018). doi:10.5772/intechopen.72042
Computational Fluid Dynamics-Basic Instruments and Applications in Science / Ionescu, Adela (Editor) ; : InTech, Chapter 1 ; ISBN: 978-953-51-3790-0 ; doi:10.5772/intechopen.68688
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
London : InTech 4-41 (2018). doi:10.5772/intechopen.72042
Computational Fluid Dynamics-Basic Instruments and Applications in Science / Ionescu, Adela (Editor) ; : InTech, Chapter 1 ; ISBN: 978-953-51-3790-0 ; doi:10.5772/intechopen.68688
Computational fluid dynamics (CFD) is the main field of computational mechanics that has historically benefited from advances in high-performance computing. High-performance computing involves several techniques to make a simulation efficient and fas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7157e13b939163717c2363c21c653177
https://hdl.handle.net/2117/114850
https://hdl.handle.net/2117/114850
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030024642
ISC Workshops
ISC Workshops
Research and analysis of large amounts of data from scientific simulations, in-situ visualization, and application control are convincing scenarios for interactive supercomputing. The open-source software Jupyter (or JupyterLab) is a tool that has al
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a1e47539e2d76b86348c4085ef32302
https://doi.org/10.1007/978-3-030-02465-9_48
https://doi.org/10.1007/978-3-030-02465-9_48
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030024642
ISC Workshops
ISC Workshops
In this paper, deep learning (DL) methods are evaluated in the context of turbulent flows. Various generative adversarial networks (GANs) are discussed with respect to their suitability for understanding and modeling turbulence. Wasserstein GANs (WGA
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f20160ab7a3433bfa42699e300ee64f9
https://doi.org/10.1007/978-3-030-02465-9_44
https://doi.org/10.1007/978-3-030-02465-9_44
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319538617
JHPCS
JHPCS
For efficiency and accuracy of Direct Numerical Simulations (DNS) of turbulent flows pseudo-spectral methods can be employed, where the governing equations are solved partly in Fourier space. The inhouse-developed 3d-FFT library nb3dfft is optimized
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c810a47b29859d857c2349825a304b54
https://doi.org/10.1007/978-3-319-53862-4_13
https://doi.org/10.1007/978-3-319-53862-4_13
Autor:
Jens Henrik Göbbert, Hristo Iliev, Christian Terboven, Bernd Mohr, Rene Halver, Matthias S. Müller, Marc-André Hermanns
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319538617
JHPCS
Cham : Springer International Publishing, Lecture Notes in Computer Science 10164, 187-199 (2017). doi:10.1007/978-3-319-53862-4_16
High-Performance Scientific Computing / Di Napoli, Edoardo (Editor) ; Cham : Springer International Publishing, 2017, Chapter 16 ; ISSN: 0302-9743=1611-3349 ; ISBN: 978-3-319-53861-7=978-3-319-53862-4 ; doi:10.1007/978-3-319-53862-4
High-Performance Scientific Computing / Di Napoli, Edoardo (Editor) ; Cham : Springer International Publishing, 2017, Chapter 16 ; ISSN: 0302-9743=1611-3349 ; ISBN: 978-3-319-53861-7=978-3-319-53862-4 ; doi:10.1007/978-3-319-53862-4First JARA-HPC Symposium 2016, JHPCS'16, Aachen, Germany, 2016-10-04-2016-10-05
JHPCS
Cham : Springer International Publishing, Lecture Notes in Computer Science 10164, 187-199 (2017). doi:10.1007/978-3-319-53862-4_16
High-Performance Scientific Computing / Di Napoli, Edoardo (Editor) ; Cham : Springer International Publishing, 2017, Chapter 16 ; ISSN: 0302-9743=1611-3349 ; ISBN: 978-3-319-53861-7=978-3-319-53862-4 ; doi:10.1007/978-3-319-53862-4
High-Performance Scientific Computing / Di Napoli, Edoardo (Editor) ; Cham : Springer International Publishing, 2017, Chapter 16 ; ISSN: 0302-9743=1611-3349 ; ISBN: 978-3-319-53861-7=978-3-319-53862-4 ; doi:10.1007/978-3-319-53862-4First JARA-HPC Symposium 2016, JHPCS'16, Aachen, Germany, 2016-10-04-2016-10-05
Current supercomputing platforms and scientific application codes have grown rapidly in complexity over the past years. Multi-scale, multi-domain simulations on one hand and deep hierarchies in large-scale computing platforms on the other make it exc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::769cba7537f5b63da3f79d25814edf5d
https://doi.org/10.1007/978-3-319-53862-4_16
https://doi.org/10.1007/978-3-319-53862-4_16
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319538617
JHPCS
JHPCS
The growing computational capabilities of nowadays supercomputers have made highly resolved turbulence simulations possible. The large data-sets and tremendous amount of required compute resources create serious new challenges when attempting to shar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::342de04de85b8d7a9c640021d6ae68a4
https://doi.org/10.1007/978-3-319-53862-4_19
https://doi.org/10.1007/978-3-319-53862-4_19
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319460789
ISC Workshops
ISC Workshops
Extracting and analyzing detailed information from large simulations is of crucial importance for science. However, with the increasing problem size of current simulations, the process of visualizing and understanding big simulation raw data becomes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88bacae0286ccb89b6ef05d1c526f92d
https://doi.org/10.1007/978-3-319-46079-6_4
https://doi.org/10.1007/978-3-319-46079-6_4