Computational science has - alongside experiments and theory - become the fully fledged third pillar of science. Supercomputers offer unprecedented opportunities to simulate complex models and as such to test theoretical models against reality. They also make it possible to extract valuable knowledge from massive amounts of data.
For many calculations, a laptop or workstation is no longer sufficient. Sometimes dozens or hundreds of CPU cores and hundreds of gigabytes or even terabytes of RAM-memory are necessary to produce an acceptable solution within a reasonable amount of time.
An overview of our services:
- Access to a variety of supercomputing infrastructure, suited for many applications.
- Guidance and advice when determining whether your software is suited to our infrastructure.
- Training (from beginner to advanced level) on the use of supercomputers. In this training all aspects are covered: how to run a program on a supercomputer, how to develop software, and for some application domains even how to use a couple of popular packages.
- Support with optimizing the use of your infrastructure.
- A wide range of free software. When using commercial software it is the responsibility of the user to take care of a license with a number of packages as an exception to this. For these packages we ourselves are responsible to ensure optimal running.
Mechanistic modeling and in silico evolution of gene regulatory networks
Evolutionary Systems Biology lab (VIB, UGent) develops a computational model of a gene regulatory network, offering new insights on the evolution and function of complex biological systems.
Molecular modeling spurs innovative technology against global warming
Relying on computational research, the Center for Molecular Modeling is able to present a new, cheaper technology that removes CO2 from exhaust gases by using the waste heat of these gases.
Regional climate studies
Climate research is about uncovering all elements that influence the climate and discovering the way they interact. Computational modelling on HPC systems is a crucial part of this research.
Research on the dynamical interaction between plasmas and magnetic fields
The Centre for mathematical Plasma Astrophysics (CmPA) @ KU Leuven concentrates its research on the dynamical interaction between plasmas and magnetic fields.