The MIGenAS integrated bioinformatics toolkit for web-based sequence analysis. - Markus Rampp; Thomas Soddemann; Hermann Lederer (Nucleic Acids Res., 2006)

Porting Large HPC Applications to GPU Clusters: The Codes GENE and VERTEX. - Tilman Dannert; Andreas Marek; Markus Rampp (PARCO, 2013)

Towards Petaflops Capability of the VERTEX Supernova Code. - Andreas Marek; Markus Rampp; Florian Hanke; Hans-Thomas Janka (PARCO, 2013)

GPEC, a real-time capable Tokamak equilibrium code. - Markus Rampp; Roland Preuss; Rainer Fischer (CoRR, 2015)

BioEM: GPU-accelerated computing of Bayesian inference of electron microscopy images. - Pilar Cossio; David Rohr; Fabio Baruffa; Markus Rampp; Volker Lindenstruth; Gerhard Hummer (Comput. Phys. Commun., 2017)

A massively parallel semi-Lagrangian solver for the six-dimensional Vlasov-Poisson equation. - Katharina Kormann; Klaus Reuter; Markus Rampp (Int. J. High Perform. Comput. Appl., 2019)

Evaluation of performance portability frameworks for the implementation of a particle-in-cell code. - Victor Artigues; Katharina Kormann; Markus Rampp; Klaus Reuter (Concurr. Comput. Pract. Exp., 2020)

nsCouette - A high-performance code for direct numerical simulations of turbulent Taylor-Couette flow. - Jose Manuel López; Daniel Feldmann; Markus Rampp; Alberto Vela-Martín; Liang Shi; Marc Avila (SoftwareX, 2020)

Code modernization strategies for short-range non-bonded molecular dynamics simulations. - James Vance; Zhen-Hao Xu; Nikita Tretyakov; Torsten Stuehn; Markus Rampp; Sebastian Eibl; André Brinkmann (CoRR, 2021)

FaVAD: A software workflow for characterization and visualizing of defects in crystalline structures. - Udo von Toussaint; F. Javier Domínguez-Gutiérrez; Michele Compostella; Markus Rampp (Comput. Phys. Commun., 2021)

Implementing a GPU-Portable Field Line Tracing Application with OpenMP Offload. - Diego Jiménez; Javier Herrera-Mora; Markus Rampp; Erwin Laure; Esteban Meneses (CARLA, 2022)

A Performance Evaluation of Adaptive MPI for a Particle-In-Cell Code. - Christian Asch; Diego Jiménez; Markus Rampp; Erwin Laure; Esteban Meneses (CLUSTER, 2022)

An efficient particle tracking algorithm for large-scale parallel pseudo-spectral simulations of turbulence. - Cristian Constantin Lalescu; Bérenger Bramas; Markus Rampp; Michael Wilczek (Comput. Phys. Commun., 2022)

Pre-Exascale Computing of Protein-Ligand Binding Free Energies with Open Source Software for Drug Design. - Vytautas Gapsys; David F. Hahn; Gary Tresadern; David L. Mobley; Markus Rampp; Bert L. de Groot (J. Chem. Inf. Model., 2022)

Beyond the Fourth Paradigm - the Rise of AI. - Andreas Marek; Markus Rampp; Klaus Reuter; Erwin Laure (e-Science, 2023)

Code modernization strategies for short-range non-bonded molecular dynamics simulations. - James Vance; Zhen-Hao Xu; Nikita Tretyakov; Torsten Stuehn; Markus Rampp; Sebastian Eibl; Christoph Junghans; André Brinkmann (Comput. Phys. Commun., 2023)

Optimizing Application Performance with BlueField: Accelerating Large-Message Blocking and Nonblocking Collective Operations. - Richard L. Graham; George Bosilca; Yong Qin; Bradley W. Settlemyer; Gilad Shainer; Craig B. Stunkel; Geoffroy Vallée; Brody Williams; Gerardo Cisneros-Stoianowski; Sebastian T. Ohlmann; Markus Rampp (ISC, 2024)

A Study of Performance Portability in Plasma Physics Simulations. - Josef Ruzicka; Christian Asch; Esteban Meneses; Markus Rampp; Erwin Laure (CoRR, 2024)

Scaling of the GROMACS Molecular Dynamics Code to 65k CPU Cores on an HPC Cluster. - Carsten Kutzner; Vedran Miletic; Karen Palacio Rodríguez; Markus Rampp; Gerhard Hummer; Bert L. de Groot; Helmut Grubmüller (J. Comput. Chem., 2025)

FORTE: An Open-Source System for Cost-Effective and Scalable Environmental Monitoring. - Zoe Pfister; Michael Vierhauser; Alzbeta Medvedova; Marie Schroeder; Markus Rampp; Adrian Kronenberg; Albin Hammerle; Georg Wohlfahrt; Alexandra Jäger; Ruth Breu; Alois Simon (CoRR, 2025)

A high-performance and portable implementation of the SISSO method for CPUs and GPUs. - Sebastian Eibl; Yi Yao; Matthias Scheffler; Markus Rampp; Luca M. Ghiringhelli; Thomas A. r. Purcell (CoRR, 2025)