High Performance Computing Technology Platform

Facility/equipment: Technological Platform

  • Location


Equipments Details


HPC is a key step in present development of both new technologies and fundamental science but is also essential for the analysis of large amount of data. The PTCI platform proposes to the user an access to high-performance computing (HPC) equipment combined with a high level technical support. Our service includes the estimation of the hardware requirements and an assistance to optimize the software performances on our facilities. Our cluster is dedicated to general purpose job and handle many concurrent jobs from several users with varying requirements. The PTCI is part of the shared infrastructure of the Fédération Wallonie-Bruxelles CÉCI (Consortium des Équipements de Calcul Intensifs).
The PTCI has an expertise for the management of HPC equipment and for the installation and optimization of codes dedicated to particular applications, including the license management. The fields of expertise of the University research teams involved in the PTCI are very broad: Chemistry, Mathematics, Physics, Astronomy, Material Science, Polymers, Optics, Algorithmic, Biology,...
The main cluster (Hercules) comprises more than 900 cores spread across 65 compute nodes including multi-core nodes (from 12 to 24 cores) with 24 to 128 GB of RAM and GPGPU. All the nodes are interconnected by a Gigabit Ethernet network and have access to several shared storage systems for a total capacity of 100 TB. Two hardware- accelerated interactive visualization nodes provide a way to remotely run 3D accelerated application. More than 100 softwares are installed, including most of the general programming languages, home-made codes developed for particular applications, major scientific codes under license or visualization tools. As part of the CÉCI shared infrastructure, the PTCI gives also access to larger HPC facilities.

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  • Research Output

  • Opal-like photonic structuring of perovskite solar cells using a genetic algorithm approach

    Lobet, M., Mayer, A., Maho, A., Piron, P., Dewalque, J., Henrist, C. & Loicq, J., 1 Mar 2020, In : Applied Sciences. 10, 5, 13 p., 1783.

    Research output: Contribution to journalArticle

    Open Access
  • 2 Downloads (Pure)
    Open Access
  • Projects


    The Genetic and Evolutionary Computation Conference 2020

    Alexandre Mayer (Participant)

    8 Jul 202012 Jul 2020

    Activity: Participating in or organising an event typesParticipation in conference

    SPIE Photonics Europe Digital Forum

    Alexandre Mayer (Poster), , Sarah Griesse-Nascimento (Poster), , Hai Bi (Poster), , Eric Mazur (Poster), & Michael Lobet (Poster)

    6 Apr 202010 Apr 2020

    Activity: Participating in or organising an event typesParticipation in conference

    Université de Nantes

    Laurence LEHERTE (Visiting researcher), & Daniel Vercauteren (Visiting researcher)

    9 Dec 201913 Dec 2019

    Activity: Visiting an external institution typesResearch/Teaching in a external institution