Komponenten für kooperative Intrusion-Detection in dynamischen Koalitionsumgebungen. - Marko Jahnke; Martin Lies; Sven Henkel; Michael Bussmann; Jens Tölle (DIMVA, 2004)

Meta IDS Environments: An Event Message Anomaly Detection Approach. - Jens Tölle; Marko Jahnke; Michael Bussmann; Sven Henkel (IWIA, 2005)

A Robust SNMP Based Infrastructure for Intrusion Detection and Response in Tactical MANETs. - Marko Jahnke; Jens Tölle; Sascha Lettgen; Michael Bussmann; Uwe Weddige (DIMVA, 2006)

Phase-Based Profiling in GPGPU Kernels. - Robert Dietrich; Felix Schmitt 004; René Widera; Michael Bussmann (ICPP Workshops, 2012)

Radiative signatures of the relativistic Kelvin-Helmholtz instability. - Michael Bussmann; Heiko Burau; Thomas E. Cowan; Alexander Debus; Axel Huebl; Guido Juckeland; Thomas Kluge; Wolfgang E. Nagel; Richard Pausch; Felix Schmitt 004; Ulrich Schramm; Joseph Schuchart; et al. (SC, 2013)

Alpaka - An Abstraction Library for Parallel Kernel Acceleration. - Erik Zenker; Benjamin Worpitz; René Widera; Axel Huebl; Guido Juckeland; Andreas Knüpfer; Wolfgang E. Nagel; Michael Bussmann (IPDPS Workshops, 2016)

Performance-Portable Many-Core Plasma Simulations: Porting PIConGPU to OpenPower and Beyond. - Erik Zenker; René Widera; Axel Huebl; Guido Juckeland; Andreas Knüpfer; Wolfgang E. Nagel; Michael Bussmann (ISC Workshops, 2016)

HASEonGPU - An adaptive, load-balanced MPI/GPU-code for calculating the amplified spontaneous emission in high power laser media. - C. H. J. Eckert; Erik Zenker; Michael Bussmann; D. Albach (Comput. Phys. Commun., 2016)

In situ, steerable, hardware-independent and data-structure agnostic visualization with ISAAC. - Alexander Matthes; Axel Huebl; René Widera; Sebastian Grottel; Stefan Gumhold; Michael Bussmann (Supercomput. Front. Innov., 2016)

On the Scalability of Data Reduction Techniques in Current and Upcoming HPC Systems from an Application Perspective. - Axel Huebl; René Widera; Felix Schmitt 004; Alexander Matthes; Norbert Podhorszki; Jong Youl Choi; Scott Klasky; Michael Bussmann (ISC Workshops, 2017)

Tuning and Optimization for a Variety of Many-Core Architectures Without Changing a Single Line of Implementation Code Using the Alpaka Library. - Alexander Matthes; René Widera; Erik Zenker; Benjamin Worpitz; Axel Huebl; Michael Bussmann (ISC Workshops, 2017)

Supplementary Data: Spectral Control via Multi-Species Effects in PW-Class Laser-Ion Acceleration. - Axel Huebl; Martin Rehwald; Lieselotte Obst-Huebl; Tim Ziegler; Marco Garten; René Widera; Karl Zeil; Thomas E. Cowan; Michael Bussmann; Ulrich Schramm; Thomas Kluge (RODARE, 2019)

Large-Scale Neural Solvers for Partial Differential Equations. - Patrick Stiller; Friedrich Bethke; Maximilian Böhme; Richard Pausch; Sunna Torge 001; Alexander Debus; Jan Vorberger; Michael Bussmann; Nico Hoffmann (SMC, 2020)

Transitioning from File-Based HPC Workflows to Streaming Data Pipelines with openPMD and ADIOS2. - Franz Poeschel; Juncheng E; William F. Godoy; Norbert Podhorszki; Scott Klasky; Greg Eisenhauer; Philip E. Davis; Lipeng Wan 001; Ana Gainaru; Junmin Gu; Fabian Koller; René Widera; et al. (SMC, 2021)

Challenges Porting a C++ Template-Metaprogramming Abstraction Layer to Directive-Based Offloading. - Jeffrey Kelling; Sergey I. Bastrakov; Alexander Debus; Thomas Kluge; Matt Leinhauser; Richard Pausch; Klaus Steiniger; Jan Stephan; René Widera; Jeff Young 001; Michael Bussmann; Sunita Chandrasekaran; et al. (WACCPD@SC, 2021)

Data-Driven Shadowgraph Simulation of a 3D Object. - Anna Willmann; Patrick Stiller; Alexander Debus; Arie Irman; Richard Pausch; Yen-Yu Chang; Michael Bussmann; Nico Hoffmann (CoRR, 2021)

Invertible Surrogate Models: Joint surrogate modelling and reconstruction of Laser-Wakefield Acceleration by invertible neural networks. - Friedrich Bethke; Richard Pausch; Patrick Stiller; Alexander Debus; Michael Bussmann; Nico Hoffmann (CoRR, 2021)

InFlow: Robust outlier detection utilizing Normalizing Flows. - Nishant Kumar 005; Pia Hanfeld; Michael Hecht; Michael Bussmann; Stefan Gumhold; Nico Hoffmann (CoRR, 2021)

Implicit reduced Vlasov-Fokker-Planck-Maxwell model based on high-order mixed elements. - Jan Nikl; Ilja Göthel; Milan Kucharik; Stefan Weber; Michael Bussmann (J. Comput. Phys., 2021)

PIConGPU setup: LPWFA downramp injection. - Richard Pausch; Jurjen Pieter Couperus Cabadag; Sergei I. Bastrakov; Michael Bussmann; Arie Irman; Thomas Kurz; Susanne Schöbel; Ulrich Schramm; Klaus Steiniger; Patrick Ufer; René Widera; Alexander Debus (RODARE, 2021)

LWFA PIConGPU setup for minimizing transverse phase space effects paper. - Richard Pausch; Alexander Köhler; Sergei I. Bastrakov; Michael Bussmann; Jurjen Pieter Couperus Cabadag; Arie Irman; Klaus Steiniger; René Widera; Alexander Debus (RODARE, 2021)

Dataset and scripts for A Deep Dive into Machine Learning Density Functional Theory for Materials Science and Chemistry. - Lenz Fiedler; Karan Shah 001; Attila Cangi; Michael Bussmann (RODARE, 2021)

Dataset and scripts for A Deep Dive into Machine Learning Density Functional Theory for Materials Science and Chemistry. - Lenz Fiedler; Karan Shah 001; Attila Cangi; Michael Bussmann (RODARE, 2021)

Resonant SAXS data used in publication: "Probing ultrafast laser plasma processes inside solids with resonant small angle X-ray scattering". - Lennart Gaus; Lothar Bischoff; Michael Bussmann; Eric Cunningham; Chandra B. Curry; Juncheng E; Eric Galtier; Maxence Gauthier; Alejandro Laso García; Marco Garten; Siegfried Glenzer; Jörg Grenzer; et al. (RODARE, 2021)

Evaluating GPU Programming Models for the LUMI Supercomputer. - George S. Markomanolis; Aksel Alpay; Jeff Young 001; Michael Klemm; Nicholas Malaya; Aniello Esposito; Jussi Heikonen; Sergey I. Bastrakov; Alexander Debus; Thomas Kluge; Klaus Steiniger; Jan Stephan; et al. (SCFA, 2022)

Early Application Experiences on a Modern GPU-Accelerated Arm-based HPC Platform. - 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; et al. (CoRR, 2022)

Continual learning autoencoder training for a particle-in-cell simulation via streaming. - Patrick Stiller; Varun Makdani; Franz Pöschel; Richard Pausch; Alexander Debus; Michael Bussmann; Nico Hoffmann (CoRR, 2022)

Metrics and Design of an Instruction Roofline Model for AMD GPUs. - Matthew Leinhauser; René Widera; Sergei I. Bastrakov; Alexander Debus; Michael Bussmann; Sunita Chandrasekaran (ACM Trans. Parallel Comput., 2022)

Application Experiences on a GPU-Accelerated Arm-based HPC Testbed. - Wael R. Elwasif; William F. Godoy; Nick Hagerty; James Austin Harris; Oscar R. Hernandez; Bálint Joó; Paul R. C. Kent; Damien Lebrun-Grandié; Elijah A. MacCarthy; Verónica G. Melesse Vergara; Bronson Messer; Ross Miller; et al. (HPC Asia Workshops, 2023)

Kidnapping Deep Learning-based Multirotors using Optimized Flying Adversarial Patches. - Pia Hanfeld; Khaled Wahba; Marina M.-C. Höhne; Michael Bussmann; Wolfgang Hönig (MRS, 2023)

Hardware-Agnostic Interactive Exascale In Situ Visualization of Particle-In-Cell Simulations. - Felix Meyer; Benjamín Hernández; Richard Pausch; René Widera; David Groß; Sergei I. Bastrakov; Axel Huebl; Guido Juckeland; Jeffrey Kelling; Matt Leinhauser; David M. Rogers 001; Ulrich Schramm; et al. (PASC, 2023)

Learning Electron Bunch Distribution along a FEL Beamline by Normalising Flows. - Anna Willmann; Jurjen Couperus Cabadag; Yen-Yu Chang; Richard Pausch; Amin Ghaith; Alexander Debus; Arie Irman; Michael Bussmann; Ulrich Schramm; Nico Hoffmann (CoRR, 2023)

Flying Adversarial Patches: Manipulating the Behavior of Deep Learning-based Autonomous Multirotors. - Pia Hanfeld; Marina M.-C. Höhne; Michael Bussmann; Wolfgang Hönig (CoRR, 2023)

LLAMA: The low-level abstraction for memory access. - Bernhard Manfred Gruber; Guilherme Amadio; Jakob Blomer; Alexander Matthes; René Widera; Michael Bussmann (Softw. Pract. Exp., 2023)

AI-Augmented Facilities: Bridging Experiment and Simulation with ML (Dagstuhl Seminar 23132). - Peer-Timo Bremer; Brian K. Spears; Tom Gibbs; Michael Bussmann (Dagstuhl Reports, 2023)

Source Data: Ultra-short pulse laser acceleration of protons to 80 MeV from cryogenic hydrogen jets tailored to near-critical density. - Martin Rehwald; Stefan Assenbaum; Constantin Bernert; Florian-Emanuel Brack; Michael Bussmann; Thomas E. Cowan; Chandra B. Curry; Frederico Fiuza; Marco Garten; Lennart Gaus; Maxence Gauthier; Sebastian Göde; et al. (RODARE, 2023)

EZ: An efficient, charge conserving current deposition algorithm for electromagnetic particle-in-cell simulations. - Klaus Steiniger; René Widera; Sergey I. Bastrakov; Michael Bussmann; Sunita Chandrasekaran; Benjamín Hernández; Kristina Holsapple; Axel Huebl; Guido Juckeland; Jeffrey Kelling; Matt Leinhauser; Richard Pausch; et al. (Comput. Phys. Commun., 2023)

Enabling High- Throughput Parallel I/O in Particle-in-Cell Monte Carlo Simulations with openPMD and Darshan I/O Monitoring. - Jeremy J. Williams; Daniel Medeiros 002; Stefan Costea; David Tskhakaya; Franz Poeschel; René Widera; Axel Huebl; Scott Klasky; Norbert Podhorszki; Leon Kos; Ales Podolnik; Jakub Hromadka; et al. (CLUSTER Workshops, 2024)

MLP-Based Adaptive Sampling and Optimization of Laser-Ion Acceleration with Ultra-Short Laser Pulses. - Thomas Miethlinger; Michael Bussmann; Ulrich Schramm; Thomas Kluge (PPAM (3), 2024)

Advancing oncology with federated learning: transcending boundaries in breast, lung, and prostate cancer. A systematic review. - Anshu Ankolekar; Sebastian Boie; Maryam Abdollahyan; Emanuela Gadaleta; Seyed Alireza Hasheminasab; Guang Yang 006; Charles Beauville; Nikolaos Dikaios; George A. Kastis; Michael Bussmann; Sara Khalid; Hagen Kruger; et al. (CoRR, 2024)

Streaming Data in HPC Workflows Using ADIOS. - Greg Eisenhauer; Norbert Podhorszki; Ana Gainaru; Scott Klasky; Philip E. Davis; Manish Parashar; Matthew Wolf; Eric Suchtya; Erick Fredj; Vicente Bolea; Franz Pöschel; Klaus Steiniger; et al. (CoRR, 2024)

The Artificial Scientist: in-Transit Machine Learning of Plasma Simulations. - Jeffrey Kelling; Vicente Bolea; Michael Bussmann; Ankush Checkervarty; Alexander Debus; Jan Ebert; Greg Eisenhauer; Vineeth Gutta; Stefan Kesselheim; Scott Klasky; Vedhas Pandit; Richard Pausch; et al. (IPDPS, 2025)

Advancing breast, lung and prostate cancer research with federated learning. A systematic review. - Anshu Ankolekar; Sebastian Boie; Maryam Abdollahyan; Emanuela Gadaleta; Seyed Alireza Hasheminasab; Guang Yang 006; Charles Beauville; Nikolaos Dikaios; George A. Kastis; Michael Bussmann; Claude Chelala; Sara Khalid; et al. (npj Digit. Medicine, 2025)

The Artificial Scientist - in-transit Machine Learning of Plasma Simulations. - Jeffrey Kelling; Vicente Bolea; Michael Bussmann; Ankush Checkervarty; Alexander Debus; Jan Ebert; Greg Eisenhauer; Vineeth Gutta; Stefan Kesselheim; Scott Klasky; Richard Pausch; Norbert Podhorszki; et al. (CoRR, 2025)

A Parallel and Highly-Portable HPC Poisson Solver: Preconditioned Bi-CGSTAB with alpaka. - Luca Pennati; Måns I. Andersson; Klaus Steiniger; René Widera; Tapish Narwal; Michael Bussmann; Stefano Markidis (CoRR, 2025)