The EuroCC project, funded by the EuroHPC Joint Undertaking and 33 participating European states, will build a sustainable and globally competitive European HPC ecosystem. It will serve research and science in academia while also supporting industries in European member states with a particular focus on encouraging small and medium enterprises (SMEs) to turn to and exploit the advantages of HPC.
High-Performance Digitisation initiative creates an intelligent annotation pipeline and a corresponding service for processing and enriching archived material, such as scanned newspapers, books and official documents. This material is digitised in large scale but the usability of the archives could and should be much higher. The new pipeline runs in a supercomputing environment and uses high-performance GPU accelerated machine learning methods for computer vision and artificial intelligence based annotation.
PRACE (Partnership for Advanced Computing in Europe) is the European high performance computing (HPC) infrastructure. PRACE has 25 members, representing European Union Member States and Associated Countries. PRACE hosts the leading-edge HPC systems in Europe (Tier-0 systems). CSC represents Finland in the PRACE projects, and provides a seamless route to the Tier-0 resources for Finnish researchers.
HPC-Europa3 is an EC-funded programme which allows researchers to carry out short "transnational access" visits to other countries to collaborate with a research department working in a similar field. During visits HPCE3 provides access to some of the most powerful computers in Europe.
The European Open Science Cloud (EOSC).is an ambitious programme of the EU to provide a virtual environment with open and seamless services for storage, management, analysis and re-use of research data, across borders and scientific disciplines by federating existing scientific data infrastructures, currently dispersed across disciplines and the EU Member States.
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.
Main objective of the scientific Center of Excellence is to reduce the scientific uncertainties related to climate change at global scale by quantifying the essential feedback mechanisms between the atmospheric processes and changing functioning of biosphere.
The Nordic e-Infrastructure Collaboration (NeIC) is an organisation that facilitates the development and operation of high-quality e-Infrastructure solutions in areas of joint Nordic interest. The NeIC is a distributed organisation consisting of technical experts from academic high-performance computing centres across the Nordic countries. The NeIC is administered by NordForsk and funded by national research funding agencies (in Finland by the Academy of Finland).
The European Open Science Cloud for Research Pilot (EOSCpilot) is a two year project (2017–2018) which aims to establish the governance framework for the EOSC, and demonstrate its feasibility through a number of pilots that integrate services and infrastructures across different scientific domains. The project engages with a broad range of stakeholders, crossing borders and communities, to build the trust and skills required for adoption of an open approach to scientific research.
The NOMAD (Novel Materials Discovery) project develops "big-data analytics" for materials science. Essentially every new commercial product, be they smart phones, solar cells, batteries, transport technology, artificial hips, etc., depends on improved or even novel materials. Computational materials science is increasingly influential as a method to identify such critical materials for both R&D.
The Intel Parallel Computing Center (IPCC) at CSC is a collaborative effort aimed at code modernisation of key scientific codes for Finnish computational science. In collaboration with Intel, we have explored cutting-edge processor architectures and adapted scientific codes to utilise them more efficiently.