Verkkosivuston kävijätilastot

Keräämme sivuston käytöstä kävijätilastoja. Tiedot eivät ole henkilöitävissä ja ne tallennetaan ainoastaan CSC:n hallinnoimaan Matomo-kävijäanalytiikkatyökaluun. Hyväksymällä kävijätilastoinnin sallit Matomon hyödyntää erilaisia teknologioita, kuten analytiikkaevästeitä ja verkkokutsuja, kun se kerää tilastoja sivun käytöstä.

Research Council of Finland

Aiheeseen liittyvät TKI-projektit

BioExcel-3

BioExcel-3 will grow and sustain the Life Science HPC community in Europe, and its success will be measured by the ability to support codes and train scientists who produce almost 10,000 scientific papers and numerous industrial projects every year.

CDC-FI

The aim of the Cosmology Data Center Finland is to utilise the existing Euclid data center and to establish a new open data center that would allow combining data from several cosmology missions, which are foreseen to have a huge impact on cosmology and astrophysics.

ChEESE-2P

The scientific ambition of ChEESE-2P is to prepare 11 community flagship codes to address 12 domain-specific Exascale Computational Challenges, adding to the areas covered during the first implementation phase with two additional disciplines (geodynamics and modeling of glacier hazards).

EPICURE

EPICURE aims to establish and operate a distributed but coordinated European-wide high-performance computing application support service to encourage the best possible uptake of the systems by European scientists and researchers.

ESiWACE3

The third phase of the Centre of Excellence in Simulation of Weather and Climate in Europe (ESiWACE) focuses on the support of the weather and climate modeling community to reach a higher readiness level regarding exascale supercomputing and knowledge transfer between the different Earth system modelling centres and teams across Europe.

ExaFF

The Exascale-ready machine learning Force Fields consortium sets out with the objective of enabling the transition of Gaussian approximation potentials (GAPs), one of the leading methodologies for machine-learning-driven atomistic modeling, to the pre-exascale architectures currently sprouting in the European high-performance computing (HPC) landscape.

FIN-CLARIAH

FIN-CLARIAH is the Finnish research infrastructure (RI) for Social Sciences and Humanities (SSH) comprising of two components, FIN-CLARIN and DARIAH-FI, that provide SSH researchers access to diverse collection of documents, research data and tools. The aim of the ongoing development project is to significantly upgrade the SSH infrastructural support.

Finnish Quantum Flagship

The Finnish Quantum Flagship brings together quantum experts in physics, computational science, mathematics, nano science and -technology, as well as economics. It will foster collaboration across organisations and disciplines to prepare the Finnish society for the benefits of quantum technology.

FiQCI

The Finnish Quantum-Computing Infrastructure (FiQCI) provides an open, state-of-the art, hybrid high-performance computing and quantum computing (HPC+QC) platform. FiQCI is accessible through a unified interface, serving the entire national research and development scene.

Geoportti

Geoportti – Open Geospatial Information Infrastructure for Research is a unique virtual research infrastructure (RI) enabling easy access to geospatial and geocomputing solutions for various disciplines by offering services to manage, process and analyse geospatial data.

GreenNLP

The GreenNLP project addresses the two major building blocks in modern natural language processing (NLP): pre-trained neural language models and neural sequence-to-sequence translation models. The project focuses on advancing techniques that produce models with a small environmental footprint. In addition, it will document and freely distribute knowledge needed to train the NLP models in a manner that is mindful of the environment.

HiECSs

The CoE HiECSs brings together key Finnish academic experts on electrical machines, drives, mechanical transmission, and related system analysis, with the aim of elevating the modelling and analysis capabilities and methodologies eventually leading to the emergence of highly sustainable solutions and products necessary for a cleaner future.

HISSA

Modern society is completely dependent on power networks as well as satellite, radar, and radio signals, which are all susceptible to disturbances in the ionosphere. HISSA aims to use HPC resources to construct an accurate model for magnetosphere-ionosphere interactions and develop novel load-balancing and parallel algorithms facilitating high-resolution magnetospheric simulations.

INAR RI

INAR RI is an umbrella research infrastructure, coordinating the distributed national nodes of European environmental research infrastructures (ICOS, ACTRIS, eLTER and AnaEE) in Finland. The components of INAR RI study the atmosphere, biosphere and their interactions.

Välttämättömät evästeet