ETP4HPC Handbook of European HPC projects

Handbook of European HPC projects

ACROSS

HPC Big Data Artificial Intelligence cross-stack platform toward Exascale

ADMIRE

Adaptive multi-tier intelligent data manager for Exascale

AERO

The push for European innovation and autonomy in computational infrastructure and chip design has led to many fruitful projects working

BioDT

Biodiversity loss directly impacts all aspects of life on Earth, so it is vital to understand how climate, pollution, human

BIOEXCEL 3

BioExel-3 addresses life science, especially biomolecular research, drug development, and molecular dynamics, by using simulation, artificial intelligence, and machine learning.

CASTIEL 2

The project encourages collaboration, exchange of knowledge between HPC practitioners, expertise and best practices between Participating States and the mapping of

CEEC

CEEC focuses on engineering, aeronautic and atmospheric engineering topics such as shock- boundary layer interaction and buffet on wings at

ChEESE-2P

ChEESE-2P covers earth science with a focus on earthquakes, seismic, tomography, tsunamis, magnetohydrodynamics, physical volcanology, geodynamics, and glacier hazards. The

DAPHNE

The infrastructure for data management is growing fast. For accurate predictions, modern data-driven applications leverage large, heterogeneous data collections to

DCoMEX

Data Driven Computational Mechanics at Exascale

DEEP-SEA

DEEP – Software for Exascale Architectures

DT-GEO

A Digital Twin for GEOphysical extremes (DT-GEO) is a European project that aims to analyse and forecast the impact of tsunamis, earthquakes, volcanoes,

This website is supported by the HPC-GIG (High Performance Computing Governance Intelligence Gathering) project, which has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 824151.

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