At the eScience Center we provide tools for High Performance Computing (HPC) implementing parallel programming methods in application development. We use EasyBuild as a software build and installation framework to deploy and manage scientific applications on HPC systems.

Our support includes:

  1. developing solutions in different programming languages, including Python and Julia, which is a flexible dynamic language, appropriate for scientific and numerical computing, with performance comparable to traditional statically-typed languages, as C/C++, Fortran, and Java;
  2. creating data pipelines and scalable workflows to process research data;
  3. integrating big data analytics and deep learning models within our cloud computing framework (SDUCloud) and ABACUS2.0;
  4. tutorial classes on open source libraries for numerical computation and machine learning: TensorFlow (both Python and Julia API) and PyTorch;
  5. scalable photogrammetry with HPC, using the software Agisoft PhotoScan Professional Edition (HUMLab).

For more information contact Dr. Emiliano Molinaro (


Desirée Suhr Pérez

Desirée Suhr Pérez Administrator/Secretary for eScience Center, Department of Mathematics and Computer Science, IMADA, T +45 65 50 90 86, D-IAS V22-411a-1, University of Southern Denmark, Campusvej 55, DK-5230 Odense M,