Providing training on GPU usage, AI and HPC optimisations as well as on usage of HPC in scientific disciplines such as Life sciences, Chemistry, Climate modelling, Engineering and more.
Assisting SMEs, large businesses and public administration in delivering competitive benefits from advanced HPC and build awareness about HPC and AI/HPDA competences and identifying strategies for technology transfer from academia.
Helping researchers both in industry and academia with application forms to apply for access to EuroHPC JU (pre)exa-scale system application support.
Support users move to pre-exascale systems. Set up mechanisms to educate users about technical requirements for scaling and provide consulting in HPC, GPU acceleration AI/HPDA and data handling.
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This online training course aims to provide a basic understanding of HPDA challenges for eScience and how these are addressed by the Ophidia HPDA framework. Ophidia is a CMCC Foundation research effort targeting scientific data-intensive analysis, by joining HPC paradigms and Big Data approaches. The framework specifically targets the analysis on top of HPC systems and is currently involved in the ESiWACE2 CoE and the eFlows4HPC EuroHPC JU projects for large-scale scientific data analytics.Find out more »
ENCCS is offering a training workshop on November 18-19 focused on GPU offloading using OpenMP. These new features, which are available since version 4.0, make OpenMP a good option for researchers and developers who wish to accelerate their code on GPUs using a cross-platform framework supported by all HPC device vendors (including NVIDIA, AMD, and Intel)Find out more »
This workshop will take you from the representation of graphs and finite sets as inputs for neural networks to the implementation of full GNNs for a variety of tasks. You will learn about the central concepts used in GNNs in a hands-on setting using Jupyter Notebooks and a series of coding exercises. While the workshop will use problems from the field of chemistry as an example for applications, the skills you learn can be transferred to any domain where finite set or graph-based representations of data are appropriate. From GNNs, we will make the leap to Transformer architectures, and explain the conceptual ties between the two.Find out more »
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ENCCS provides help and support to access and use European High-Performance Computers that unlock such capabilities.
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“Without the help of ENCCS we would be unaware of the possibilities of access to EuroHPC JU supercomputing resources for Northvolt AB. ENCCS helped us in all the steps of our application, it’s support was fundamental to understand which kind of resources where the best option for our needs. Furthermore, from a more technical point of view, the support of ENCCS was fundamental to write and review the project proposal and to help us in justifying our needs in terms of computational resources and parallelization objectives.”
“With the help of ENCCS we successfully applied for PRACE preparatory access (…) ENCCS has been a great help in clarifying the PRACE requirements, guiding our use of the PRACE application system, directing us to the right technical documentation and procedures, giving us input on our preparatory proposal, providing advice on the scaling tests needed for the full proposal, and helping our communication with the computer center where we obtained preparatory access (…) Ιt is good to have access to help from experts that streamlines the application process and prevents mistakes that could lead to a rejected proposal.”
“ENCCS was essential for my groups successful LUMI application. The targeted help we received allowed us to quickly understand the nature of the LUMI supercomputer and why this can be highly beneficial to our science goals. ENCCS walked us through the necessary steps and kept us up to date regarding essential deadlines. This kind of focused help is a new to us, and we are very happy with the whole experience.”
“ENCCS exposed in a very efficient way the PRACE resources to the scientists active within the Department of Engineering Mechanics at KTH. Moreover, ENCCS guided us to build the application required to access the PRACE resources, application which was successful. I believe that ENCCS guidance and consulting is essential for the Swedish scientists, enabling us to explore the HPC possibilities beyond Sweden.”