Assisting small & medium enterprises, as well as large businesses free of charge.
Building awareness in the industry about HPC and AI/HPDA competences nation-wide and identifying strategies for technology transfer from academia.
ENCCS focuses on industry usage of HPC and AI/HPDA targeting EuroHPC in collaboration with academia, with particular focus on assisting SMEs in deriving competitive benefits from advanced HPC.
HPC and AI/HPDA usage from industry involvement in large research infrastructures such as ESS, SciLifeLab, Esrange and MAX IV will also be in scope, and a HPC industry eco-system will be developed in the task. Seminars showing best practises and examples of industry use of HPC and computing-focused business will be organized to support the eco-system.
Consulting and support to improve software performance and adapt to AI/HPDA solutions
Assisting in accessing the new (pre-)exascale resources
Organising tailored training in HPC,AI and HPDA for your enterprise
There are already very successful examples of SME projects getting access to EU resources through the PRACE infrastructure program SHAPE where some of the ENCCS experts were involved. Future collaboration and access to the EuroHPC resources with the help of ENCCS will be continued similarly but directed towards future exascale systems. Below are several successful examples of the work with Swedish industry, particularly SMEs:
Airinnova is a start-up company with a key competency in the automation of high-fidelity computational fluid dynamics (CFD) analysis.
Creo Dynamics is a Swedish engineering company with core competence in fluid dynamics, acoustics and structural dynamics.
The Swedish Aeronautical Institute focuses on three areas: Research-, education- and consulting work in aeronautics. The main objective is to maintain and develop the safety in the air transport system, while providing environmentally and economically sound solutions.
Ingrid Cloud is built on a groundbreaking Computational Fluid Dynamics (CFD) framework, which uses the Finite Element Method (FEM) together with adaptive mesh refinement based on adjoint techniques and a posteriori error estimation.