E-CAM – European HPC Centre of Excellence

Funding source: H2020

Project duration: 1.10.2015 – 30.9.2020

Project website: www.e-cam2020.eu

 

What we are doing:

The E-CAM (European HPC Centre of Excellence) is an e-infrastructure for software development, training, and industrial discussion in simulation and modelling.

The E-CAM project focuses on four scientific areas of interest to computational scientists: Classical Molecular Dynamics, Electronic Structure, Quantum Dynamics, Meso- and Multi-Scale Modelling.

The project aims to:

  • Develop software modules to be used in academia and industry to solve simulation and modelling problems. We will interface those software modules with standard codes and tune the outputs to run on the next generation of exascale computers. We will create an open-access E-CAM Software Repository containing robust applications, modules, scripts, and wrappers. We have set a target of 150 items in the repository by the end of the project. We will set software standards through best practice guidelines to ensure that appropriate documentation and metadata supports the use of the software.
     
  • Provide information and opportunities for discussion on leading-edge simulation and modelling techniques. This includes workshops with industry to identify areas of mutual interest as well as the development of on-line training resources. We have strong industry links already with eight industry pilot projects underway from the start of the project.
     
  • Train the next generation of computational scientists from both industry (new managers and computing specialists) and academia (post-graduates and postdocs). We want to ensure that there are continuing professional development opportunities for scientists and that our links with industry will provide career progression for the participants of our workshops.

The five-year project, started in 2015, is coordinated by University College Dublin, National University of Ireland, Dublin.

CSC's role in the project is to support the researchers in HPC code optimization.