We aim to attract and bring together different stakeholders from the HPC and Big Data arena, from researchers to end users. You will have the opportunity to learn more about advanced HPC, HPDA and AI technologies to improve data-centric computation.
We will introduce the EU project HiDALGO, its Portal and its services. Then we will focus on our three global challenge case studies.
Following one of these cases, the urban air pollution case study, in a hands-on part participants will create a workflow with HPC simulations, their visualizations, the corresponding blueprints, and run that from the Portal.
We are highly interested in your opinions and are looking forward to a lively discussion with you!
- Register for this workshop at hipeac.net/2020/bologna/#/registration/
- Prepare a 1 min lightning talk about your own (research) topics and interests
- Bring your laptop!
HiDALGO advances HPC, HPDA and AI technologies in order to improve data-centric computation in the domain of Global Challenges.
HiDALGO is an EU-funded 3-year project involving an interdisciplinary team of 13 partners from seven countries (Dec 2018 – Nov 2021).
We apply our agent-based
simulation framework to predict
where displaced people will arrive.
This allows decision makers and
NGOs to allocate humanitarian
Urban Air Pollution
We provide policy makers
and society with an easy-to-use
HPC computational tool that
forecasts air pollution in cities
with a very high resolution,
1 meter at street level.
We aim to understand the
spread of messages in social
networks, to identify false /
malicious messages and to
develop a highly scalable