Scientific research projects

  1. miniHPC: A modern high-performance computing cluster (15.12.2016-present), a teaching and research platform, funded by the University of Basel (URL)

  1. µ-Cluster: Everything Parallel (01.03.2017-present), a research and demonstration project, funded by the University of Basel (URL)

  1. MLS: Multilevel Scheduling in Large Scale High Performance Computers (01.09.2017-31.08.2020), funded by the Swiss National Science Foundation (URL)

  1. SPH-EXA: Optimizing Smooth Particle Hydrodynamics for Exascale Computing (01.07.2017-30.06.2020), funded by the Swiss Platform for Advanced Scientific Computing (External URL, UniBas URL)

  1. DA-HPC-OR: Data Analysis for Improving High Performance Computing Operations and Research (01.09.2018-29.02.2020), funded by the Eucor - The European Campus (External URL, UniBas URL)

Tool projects

  1. PROVA! A tool to conduct reproducible research in computational science (URL)

  1. HAEC-SIM: A simulator for highly adaptive energy efficient computing (URL)

  1. SimGrid: A scientific instrument to study the behavior of large-scale distributed systems such as Grids, Clouds, HPC or P2P systems (URL)

Other projects

  1. Web Observatory! Extracting data sets from web in a readable machine format then do some analysis and visualization to get better understanding  (URL)


  1. Swiss National Supercomputing Center (

  1. The Engineering science, computer science and imaging laboratory (iCUBE) at University of Strasbourg (

  1. The Computing Center at the University of Freiburg (

  1. Faculty of Law at University of Basel (

  1. Scientific Computing Center at University of Basel (

  1. Technische Universität Dresden (

  1. Mississippi State University (

  1. University of Zurich (

  1. University of Applied Sciences Western Switzerland Geneva (


The research of the HPC group at the Department of Mathematics and Computer Science of University of Basel, Switzerland concentrates on the following topics:

  1. Parallelization

  2. Heterogeneity

  3. Mapping

  4. Scheduling

  5. Robustness (fault tolerance)

  6. Scalability and

  7. Reproducibility

of parallel applications executing on small (multi-many cores) to large scale (multi-node) high performance computers.

Other topics of interest include:

  1. Data mining

  2. Process mining

  3. Information security

        (protection and privacy)

  1. System and application monitoring

  2. Modeling and simulation of parallel applications and systems.


Inspire desire:
“There are no privileges without duties.” 
~ Klara Goldreich-Ingwer