Projects, Collaborations

Over the years we  have/had active collaborations with colleagues from the following institutions:

  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 (

Ongoing 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), Seed Money grant funded by the Eucor - The European Campus (External URL, UniBas URL)

Active software projects and tools

  1. SPH-EXA: We develop the SPH-EXA mini-app (more details on our Scientific Output page) as a means to enable Exascale-ready simulations

  1. SimGrid: We extend SimGrid (URL), a scientific instrument to study the behavior of large-scale distributed systems (Grids, Clouds, HPC, or P2P systems) with dynamic load balancing methods to optimize application performance (more details on our Scientific Output page)

  1. HAEC-SIM: We use HAEC-SIM (URL), a simulator for highly adaptive energy efficient computing originally developed at TU Dresden, to study the impact of parallel application placement on performance.

Other projects

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

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



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

  7. Verification and validation

  8. 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