Markus Rampp

Orcid: 0000-0001-8177-8698

According to our database1, Markus Rampp authored at least 16 papers between 2006 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2023
Code modernization strategies for short-range non-bonded molecular dynamics simulations.
Comput. Phys. Commun., September, 2023

Beyond the Fourth Paradigm - the Rise of AI.
Proceedings of the 19th IEEE International Conference on e-Science, 2023

2022
Pre-Exascale Computing of Protein-Ligand Binding Free Energies with Open Source Software for Drug Design.
J. Chem. Inf. Model., 2022

An efficient particle tracking algorithm for large-scale parallel pseudo-spectral simulations of turbulence.
Comput. Phys. Commun., 2022

A Performance Evaluation of Adaptive MPI for a Particle-In-Cell Code.
Proceedings of the IEEE International Conference on Cluster Computing, 2022

Implementing a GPU-Portable Field Line Tracing Application with OpenMP Offload.
Proceedings of the High Performance Computing - 9th Latin American Conference, 2022

2021
FaVAD: A software workflow for characterization and visualizing of defects in crystalline structures.
Comput. Phys. Commun., 2021

Code modernization strategies for short-range non-bonded molecular dynamics simulations.
CoRR, 2021

2020
nsCouette - A high-performance code for direct numerical simulations of turbulent Taylor-Couette flow.
SoftwareX, 2020

Evaluation of performance portability frameworks for the implementation of a particle-in-cell code.
Concurr. Comput. Pract. Exp., 2020

2019
A massively parallel semi-Lagrangian solver for the six-dimensional Vlasov-Poisson equation.
Int. J. High Perform. Comput. Appl., 2019

2017
BioEM: GPU-accelerated computing of Bayesian inference of electron microscopy images.
Comput. Phys. Commun., 2017

2015
GPEC, a real-time capable Tokamak equilibrium code.
CoRR, 2015

2013
Towards Petaflops Capability of the VERTEX Supernova Code.
Proceedings of the Parallel Computing: Accelerating Computational Science and Engineering (CSE), 2013

Porting Large HPC Applications to GPU Clusters: The Codes GENE and VERTEX.
Proceedings of the Parallel Computing: Accelerating Computational Science and Engineering (CSE), 2013

2006
The MIGenAS integrated bioinformatics toolkit for web-based sequence analysis.
Nucleic Acids Res., 2006


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