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Michael Bussmann
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2020 – today
- 2025
- [i24]Jeffrey Kelling, Vicente Bolea
, Michael Bussmann, Ankush Checkervarty, Alexander Debus, Jan Ebert, Greg Eisenhauer, Vineeth Gutta, Stefan Kesselheim, Scott Klasky, Richard Pausch, Norbert Podhorszki, Franz Pöschel, David Rogers, Jeyhun Rustamov, Steve Schmerler, Ulrich Schramm, Klaus Steiniger, René Widera, Anna Willmann, Sunita Chandrasekaran:
The Artificial Scientist - in-transit Machine Learning of Plasma Simulations. CoRR abs/2501.03383 (2025) - [i23]Luca Pennati, Måns I. Andersson, Klaus Steiniger, René Widera, Tapish Narwal, Michael Bussmann, Stefano Markidis:
A Parallel and Highly-Portable HPC Poisson Solver: Preconditioned Bi-CGSTAB with alpaka. CoRR abs/2503.08935 (2025) - 2024
- [c18]Jeremy J. Williams, Daniel Medeiros, Stefan Costea, David Tskhakaya, Franz Poeschel, René Widera, Axel Huebl, Scott Klasky, Norbert Podhorszki, Leon Kos, Ales Podolnik, Jakub Hromadka, Tapish Narwal, Klaus Steiniger, Michael Bussmann, Erwin Laure, Stefano Markidis:
Enabling High- Throughput Parallel I/O in Particle-in-Cell Monte Carlo Simulations with openPMD and Darshan I/O Monitoring. CLUSTER Workshops 2024: 86-95 - [c17]Thomas Miethlinger, Michael Bussmann, Ulrich Schramm, Thomas Kluge:
MLP-Based Adaptive Sampling and Optimization of Laser-Ion Acceleration with Ultra-Short Laser Pulses. PPAM (3) 2024: 142-156 - [i22]Jeremy J. Williams, Daniel Medeiros, Stefan Costea, David Tskhakaya, Franz Poeschel, René Widera, Axel Huebl, Scott Klasky, Norbert Podhorszki, Leon Kos, Ales Podolnik, Jakub Hromadka, Tapish Narwal, Klaus Steiniger, Michael Bussmann, Erwin Laure, Stefano Markidis:
Enabling High-Throughput Parallel I/O in Particle-in-Cell Monte Carlo Simulations with openPMD and Darshan I/O Monitoring. CoRR abs/2408.02869 (2024) - [i21]Anshu Ankolekar, Sebastian Boie, Maryam Abdollahyan, Emanuela Gadaleta, Seyed Alireza Hasheminasab, Guang Yang, Charles Beauville, Nikolaos Dikaios, George A. Kastis, Michael Bussmann, Sara Khalid, Hagen Kruger, Philippe Lambin, Giorgos Papanastasiou:
Advancing oncology with federated learning: transcending boundaries in breast, lung, and prostate cancer. A systematic review. CoRR abs/2408.05249 (2024) - [i20]Greg Eisenhauer, Norbert Podhorszki, Ana Gainaru, Scott Klasky, Philip E. Davis, Manish Parashar, Matthew Wolf, Eric Suchtya, Erick Fredj, Vicente Bolea
Streaming Data in HPC Workflows Using ADIOS. CoRR abs/2410.00178 (2024) - 2023
- [j6]Klaus Steiniger
EZ: An efficient, charge conserving current deposition algorithm for electromagnetic particle-in-cell simulations. Comput. Phys. Commun. 291: 108849 (2023) - [j5]Bernhard Manfred Gruber
LLAMA: The low-level abstraction for memory access. Softw. Pract. Exp. 53(1): 115-141 (2023) - [c16]Wael R. Elwasif
Application Experiences on a GPU-Accelerated Arm-based HPC Testbed. HPC Asia Workshops 2023: 35-49 - [c15]Pia Hanfeld, Khaled Wahba, Marina M.-C. Höhne, Michael Bussmann, Wolfgang Hönig:
Kidnapping Deep Learning-based Multirotors using Optimized Flying Adversarial Patches. MRS 2023: 78-84 - [c14]Felix Meyer
Hardware-Agnostic Interactive Exascale In Situ Visualization of Particle-In-Cell Simulations. PASC 2023: 9:1-9:14 - [d7]Martin Rehwald
Source Data: Ultra-short pulse laser acceleration of protons to 80 MeV from cryogenic hydrogen jets tailored to near-critical density. RODARE, 2023 - [i19]Anna Willmann, Jurjen Couperus Cabadag, Yen-Yu Chang, Richard Pausch, Amin Ghaith, Alexander Debus, Arie Irman
Learning Electron Bunch Distribution along a FEL Beamline by Normalising Flows. CoRR abs/2303.00657 (2023) - [i18]Pia Hanfeld, Marina M.-C. Höhne, Michael Bussmann, Wolfgang Hönig:
Flying Adversarial Patches: Manipulating the Behavior of Deep Learning-based Autonomous Multirotors. CoRR abs/2305.12859 (2023) - [i17]Pia Hanfeld, Khaled Wahba, Marina M.-C. Höhne, Michael Bussmann, Wolfgang Hönig:
Kidnapping Deep Learning-based Multirotors using Optimized Flying Adversarial Patches. CoRR abs/2308.00344 (2023) - [i16]Peer-Timo Bremer, Brian K. Spears, Tom Gibbs, Michael Bussmann:
AI-Augmented Facilities: Bridging Experiment and Simulation with ML (Dagstuhl Seminar 23132). Dagstuhl Reports 13(3): 106-131 (2023) - 2022
- [j4]Matthew Leinhauser
Metrics and Design of an Instruction Roofline Model for AMD GPUs. ACM Trans. Parallel Comput. 9(1): 1:1-1:14 (2022) - [c13]George S. Markomanolis
Evaluating GPU Programming Models for the LUMI Supercomputer. SCFA 2022: 79-101 - [i15]Wael R. Elwasif, Sergei I. Bastrakov, Spencer H. Bryngelson, Michael Bussmann, Sunita Chandrasekaran, Florina M. Ciorba, Michael A. Clark, Alexander Debus, William F. Godoy, Nick Hagerty, Jeff R. Hammond, David J. Hardy, James Austin Harris, Oscar R. Hernandez, Bálint Joó, Sebastian Keller, Paul R. C. Kent, Henry Le Berre, Damien Lebrun-Grandié, Elijah A. MacCarthy
Early Application Experiences on a Modern GPU-Accelerated Arm-based HPC Platform. CoRR abs/2209.09731 (2022) - [i14]Patrick Stiller, Varun Makdani, Franz Pöschel, Richard Pausch, Alexander Debus, Michael Bussmann, Nico Hoffmann:
Continual learning autoencoder training for a particle-in-cell simulation via streaming. CoRR abs/2211.04770 (2022) - 2021
- [j3]Jan Nikl
Implicit reduced Vlasov-Fokker-Planck-Maxwell model based on high-order mixed elements. J. Comput. Phys. 434: 110214 (2021) - [c12]Franz Poeschel
Transitioning from File-Based HPC Workflows to Streaming Data Pipelines with openPMD and ADIOS2. SMC 2021: 99-118 - [c11]Jeffrey Kelling
Challenges Porting a C++ Template-Metaprogramming Abstraction Layer to Directive-Based Offloading. WACCPD@SC 2021: 92-111 - [d6]Lenz Fiedler
Dataset and scripts for A Deep Dive into Machine Learning Density Functional Theory for Materials Science and Chemistry. Version v1.0.0. RODARE, 2021 [all versions] - [d5]Lenz Fiedler
Dataset and scripts for A Deep Dive into Machine Learning Density Functional Theory for Materials Science and Chemistry. Version v1.1.0. RODARE, 2021 [all versions] - [d4]Lennart Gaus
Resonant SAXS data used in publication: "Probing ultrafast laser plasma processes inside solids with resonant small angle X-ray scattering". RODARE, 2021 - [d3]Richard Pausch
PIConGPU setup: LPWFA downramp injection. RODARE, 2021 - [d2]Richard Pausch
LWFA PIConGPU setup for minimizing transverse phase space effects paper. RODARE, 2021 - [i13]Anna Willmann, Patrick Stiller, Alexander Debus
Data-Driven Shadowgraph Simulation of a 3D Object. CoRR abs/2106.00317 (2021) - [i12]Friedrich Bethke, Richard Pausch, Patrick Stiller, Alexander Debus
Invertible Surrogate Models: Joint surrogate modelling and reconstruction of Laser-Wakefield Acceleration by invertible neural networks. CoRR abs/2106.00432 (2021) - [i11]Bernhard Manfred Gruber, Guilherme Amadio, Jakob Blomer, Alexander Matthes, René Widera, Michael Bussmann:
LLAMA: The Low Level Abstraction For Memory Access. CoRR abs/2106.04284 (2021) - [i10]Nishant Kumar
InFlow: Robust outlier detection utilizing Normalizing Flows. CoRR abs/2106.12894 (2021) - [i9]Franz Poeschel, Juncheng E, William F. Godoy
Transitioning from file-based HPC workflows to streaming data pipelines with openPMD and ADIOS2. CoRR abs/2107.06108 (2021) - [i8]Matthew Leinhauser, René Widera, Sergei I. Bastrakov, Alexander Debus
Metrics and Design of an Instruction Roofline Model for AMD GPUs. CoRR abs/2110.08221 (2021) - [i7]Jeffrey Kelling, Sergei I. Bastrakov, Alexander Debus
Challenges Porting a C++ Template-Metaprogramming Abstraction Layer to Directive-based Offloading. CoRR abs/2110.08650 (2021) - 2020
- [c10]Patrick Stiller, Friedrich Bethke, Maximilian Böhme
Large-Scale Neural Solvers for Partial Differential Equations. SMC 2020: 20-34 - [i6]Patrick Stiller, Friedrich Bethke, Maximilian Böhme, Richard Pausch, Sunna Torge, Alexander Debus, Jan Vorberger, Michael Bussmann, Nico Hoffmann:
Large-scale Neural Solvers for Partial Differential Equations. CoRR abs/2009.03730 (2020)
2010 – 2019
- 2019
- [d1]Axel Huebl
Supplementary Data: Spectral Control via Multi-Species Effects in PW-Class Laser-Ion Acceleration. RODARE, 2019 - 2017
- [c9]Axel Huebl
On the Scalability of Data Reduction Techniques in Current and Upcoming HPC Systems from an Application Perspective. ISC Workshops 2017: 15-29 - [c8]Alexander Matthes, René Widera, Erik Zenker, Benjamin Worpitz, Axel Huebl
Tuning and Optimization for a Variety of Many-Core Architectures Without Changing a Single Line of Implementation Code Using the Alpaka Library. ISC Workshops 2017: 496-514 - [i5]Axel Huebl
On the Scalability of Data Reduction Techniques in Current and Upcoming HPC Systems from an Application Perspective. CoRR abs/1706.00522 (2017) - [i4]Alexander Matthes, René Widera, Erik Zenker, Benjamin Worpitz, Axel Huebl, Michael Bussmann:
Tuning and optimization for a variety of many-core architectures without changing a single line of implementation code using the Alpaka library. CoRR abs/1706.10086 (2017) - 2016
- [j2]C. H. J. Eckert
HASEonGPU - An adaptive, load-balanced MPI/GPU-code for calculating the amplified spontaneous emission in high power laser media. Comput. Phys. Commun. 207: 362-374 (2016) - [j1]Alexander Matthes, Axel Huebl
In situ, steerable, hardware-independent and data-structure agnostic visualization with ISAAC. Supercomput. Front. Innov. 3(4): 30-48 (2016) - [c7]Erik Zenker, Benjamin Worpitz, René Widera, Axel Huebl
Alpaka - An Abstraction Library for Parallel Kernel Acceleration. IPDPS Workshops 2016: 631-640 - [c6]Erik Zenker, René Widera, Axel Huebl
Performance-Portable Many-Core Plasma Simulations: Porting PIConGPU to OpenPower and Beyond. ISC Workshops 2016: 293-301 - [i3]Erik Zenker, Benjamin Worpitz, René Widera, Axel Huebl
Alpaka - An Abstraction Library for Parallel Kernel Acceleration. CoRR abs/1602.08477 (2016) - [i2]Erik Zenker, René Widera, Axel Huebl
Performance-Portable Many-Core Plasma Simulations: Porting PIConGPU to OpenPower and Beyond. CoRR abs/1606.02862 (2016) - [i1]Alexander Matthes, Axel Huebl
In situ, steerable, hardware-independent and data-structure agnostic visualization with ISAAC. CoRR abs/1611.09048 (2016) - 2013
- [c5]Michael Bussmann
Radiative signatures of the relativistic Kelvin-Helmholtz instability. SC 2013: 5:1-5:12 - 2012
- [c4]Robert Dietrich, Felix Schmitt, René Widera, Michael Bussmann
Phase-Based Profiling in GPGPU Kernels. ICPP Workshops 2012: 414-423
2000 – 2009
- 2006
- [c3]Marko Jahnke, Jens Tölle, Sascha Lettgen, Michael Bussmann, Uwe Weddige:
A Robust SNMP Based Infrastructure for Intrusion Detection and Response in Tactical MANETs. DIMVA 2006: 164-180 - 2005
- [c2]Jens Tölle, Marko Jahnke, Michael Bussmann, Sven Henkel:
Meta IDS Environments: An Event Message Anomaly Detection Approach. IWIA 2005: 85-94 - 2004
- [c1]Marko Jahnke, Martin Lies, Sven Henkel, Michael Bussmann, Jens Tölle:
Komponenten für kooperative Intrusion-Detection in dynamischen Koalitionsumgebungen. DIMVA 2004: 39-53
Coauthor Index
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last updated on 2025-04-22 21:07 CEST by the dblp team
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