Zobrazeno 1 - 10
of 74
pro vyhledávání: '"Debus,Alexander"'
Autor:
Steiniger, Klaus, Widera, Rene, Bastrakov, Sergei, Bussmann, Michael, Chandrasekaran, Sunita, Hernandez, Benjamin, Holsapple, Kristina, Huebl, Axel, Juckeland, Guido, Kelling, Jeffrey, Leinhauser, Matt, Pausch, Richard, Rogers, David, Schramm, Ulrich, Young, Jeff, Debus, Alexander
Publikováno v:
Computer Physics Communications 291 (2023) 108849
We present EZ, a novel current deposition algorithm for particle-in-cell (PIC) simulations. EZ calculates the current density on the electromagnetic grid due to macro-particle motion within a time step by solving the continuity equation of electrodyn
Externí odkaz:
http://arxiv.org/abs/2309.09873
Autor:
Willmann, Anna, Cabadağ, Jurjen Couperus, Chang, Yen-Yu, Pausch, Richard, Ghaith, Amin, Debus, Alexander, Irman, Arie, Bussmann, Michael, Schramm, Ulrich, Hoffmann, Nico
Publikováno v:
Machine Learning and the Physical Sciences 2022 workshop, NeurIPS
Understanding and control of Laser-driven Free Electron Lasers remain to be difficult problems that require highly intensive experimental and theoretical research. The gap between simulated and experimentally collected data might complicate studies a
Externí odkaz:
http://arxiv.org/abs/2303.00657
Autor:
Stiller, Patrick, Makdani, Varun, Pöschel, Franz, Pausch, Richard, Debus, Alexander, Bussmann, Michael, Hoffmann, Nico
The upcoming exascale era will provide a new generation of physics simulations. These simulations will have a high spatiotemporal resolution, which will impact the training of machine learning models since storing a high amount of simulation data on
Externí odkaz:
http://arxiv.org/abs/2211.04770
Autor:
Elwasif, Wael, Godoy, William, Hagerty, Nick, Harris, J. Austin, Hernandez, Oscar, Joo, Balint, Kent, Paul, Lebrun-Grandie, Damien, Maccarthy, Elijah, Vergara, Veronica G. Melesse, Messer, Bronson, Miller, Ross, Opal, Sarp, Bastrakov, Sergei, Bussmann, Michael, Debus, Alexander, Steinger, Klaus, Stephan, Jan, Widera, Rene, Bryngelson, Spencer H., Berre, Henry Le, Radhakrishnan, Anand, Young, Jefferey, Chandrasekaran, Sunita, Ciorba, Florina, Simsek, Osman, Spiga, Kate Clark Filippo, Hammond, Jeff, Hardy, John E. Stone. David, Keller, Sebastian, Trott, Jean-Guillaume Piccinali. Christian
Publikováno v:
Proceedings of the HPC Asia 2023 Workshops, pg 35-49
This paper assesses and reports the experience of ten teams working to port,validate, and benchmark several High Performance Computing applications on a novel GPU-accelerated Arm testbed system. The testbed consists of eight NVIDIA Arm HPC Developer
Externí odkaz:
http://arxiv.org/abs/2209.09731
Autor:
Kelling, Jeffrey, Bastrakov, Sergei, Debus, Alexander, Kluge, Thomas, Leinhauser, Matt, Pausch, Richard, Steiniger, Klaus, Stephan, Jan, Widera, René, Young, Jeff, Bussmann, Michael, Chandrasekaran, Sunita, Juckeland, Guido
HPC systems employ a growing variety of compute accelerators with different architectures and from different vendors. Large scientific applications are required to run efficiently across these systems but need to retain a single code-base in order to
Externí odkaz:
http://arxiv.org/abs/2110.08650
Autor:
Leinhauser, Matthew, Widera, René, Bastrakov, Sergei, Debus, Alexander, Bussmann, Michael, Chandrasekaran, Sunita
Due to the recent announcement of the Frontier supercomputer, many scientific application developers are working to make their applications compatible with AMD architectures (CPU-GPU), which means moving away from the traditional CPU and NVIDIA-GPU s
Externí odkaz:
http://arxiv.org/abs/2110.08221
Autor:
Bethke, Friedrich, Pausch, Richard, Stiller, Patrick, Debus, Alexander, Bussmann, Michael, Hoffmann, Nico
Invertible neural networks are a recent technique in machine learning promising neural network architectures that can be run in forward and reverse mode. In this paper, we will be introducing invertible surrogate models that approximate complex forwa
Externí odkaz:
http://arxiv.org/abs/2106.00432
Autor:
Willmann, Anna, Stiller, Patrick, Debus, Alexander, Irman, Arie, Pausch, Richard, Chang, Yen-Yu, Bussmann, Michael, Hoffmann, Nico
In this work we propose a deep neural network based surrogate model for a plasma shadowgraph - a technique for visualization of perturbations in a transparent medium. We are substituting the numerical code by a computationally cheaper projection base
Externí odkaz:
http://arxiv.org/abs/2106.00317
Autor:
Zarini, Omid, Cabadağ, Jurjen Couperus, Chang, Yen-Yu, Köhler, Alexander, Kurz, Thomas, Schöbel, Susanne, Seidel, Wolfgang, Bussmann, Michael, Schramm, Ulrich, Debus, Alexander
We present design and realization of an ultra-broadband optical spectrometer capable of measuring the spectral intensity of multi-octave-spanning light sources on a single-pulse basis with a dynamic range of up to 8 orders of magnitude. The instrumen
Externí odkaz:
http://arxiv.org/abs/2104.08539
Autor:
Stiller, Patrick, Bethke, Friedrich, Böhme, Maximilian, Pausch, Richard, Torge, Sunna, Debus, Alexander, Vorberger, Jan, Bussmann, Michael, Hoffmann, Nico
Solving partial differential equations (PDE) is an indispensable part of many branches of science as many processes can be modelled in terms of PDEs. However, recent numerical solvers require manual discretization of the underlying equation as well a
Externí odkaz:
http://arxiv.org/abs/2009.03730