Intelligent screening of satellite data
Improve efficiency and genericity of the intelligent screening of environmental satellite data for detection and identification of anomalous atmospheric composition events.
PROJECT
PHIDIAS
PHIDIAS is creating access services to increase the High-Performance Computing (HPC)
and data capacities of the European Data Infrastructure in the context of the Connecting European Framework (CEF) on Open data.
USE CASES
PHIDIAS
OCEAN
Improve the use of cloud services for marine data management, service and processing, considering the EOSC challenge and the DIAS.
Big data earth observation
Enhance the EO data processing chains scalability for environmental monitoring from the end-users needs of THEIA land data centre network.
GOALS
PHIDIAS
01
Building a prototype
Develop a catalogue that will allow users to discover and access data, open-source software, public Application Programming Interfaces (APIs) and interactive processing services. This catalogue will implement interoperable services for the discovery, access and processing of the data, and be connected to other major data repositories such as the European Data Portal, the Global Earth Observation System of Systems Portal (GEOSS), the Next Global Earth Observation System of Systems Portal (NextGEOSS), and the European Open Science Cloud (EOSC).
02
Optimising and industrialising
Optimise and industrialise workflows to allow the largest degree of reusability of data as possible, in compliance with the INSPIRE directives and ensuring interoperability with the EUDAT (European Data), EOSC, and IS-ENES (Infrastructure for the European Network for Earth System Modelling) portals and generic services.
03
open access
Implement an end-user web common interactive processing service based on notebook and data cube technologies allowing new users to easily have access to HPC capacities and develop new algorithms.
04
FAIRisation
Improve the FAIRisation of satellite and environmental datasets and preserve FAIR (Findable Accessible Interoperable Reusable) datasets into a Remote Data Access (RDA) certified repository.
05
Data pre-processing
Develop new data pre-processing models coupled with HPC capabilities, by building a new and innovative on-the-fly computing service for smart processing of data, addressing the problem of efficient filtering and on-the-fly first diagnostics on incoming in-situ data.
06
Data post-processing
Deploy data post-processing methods as a service for several end-users, including scientific communities, public authorities, private entities and citizen scientists.
LATEST NEWS
NEWS
PHIDIAS
Final PHIDIAS Impact Webinar: The path toward new services to increase HPC and Data capacities
The PHIDIAS’s final impact webinar took place last 12 July which aimed at presenting the tangible outputs achieved by the PHIDIAS HPC initiative at the service of the European HPC and Research community, including main features, concrete impact, and prospective advantages for Research & HPC ecosphere. Here are the brief key takeaways from the event:
• A simple web access to a world-class supercomputer, yet with a kind of magic
• From 5% of data analysis to 45% for scientists (data access and computing) on the road to 80%
• Two portals to find and access the available data
• Already available results for Earth Science Systems (detection of extreme events, pollution, nutrients or ocean oxygen measures, etc.)
• Security by design is key in creating such an infrastructure (Security Committee)
• PHIDIAS is also a prototype to evaluate costs
• Metadata is a key point.
PHIDIAS Activities and development: Established and implemented a security policy
PHIDIAS WP3 in cooperation with WP2 has coordinated and facilitated several videoconferences with various scientific WPs but also with the security committee since the 3rd meeting of the PHIDIAS consortium that took place in Villeneuve d'Ascq/Lille on 6 and 7 April 2022.
PHIDIAS at the EuroHPC Summit Week 2022
Boris Dintrans, PHIDIAS project coordinator and CINES director, recently had the occasion to take part in the EuroHPC Summit Week (EHPCSW) 2022 session on “Data-driven Computing” from 22-24 March 2022.
Phidias HPC - The role of the Security Committee
Listen as we dive into the fourth PHIDIAS podcast episode.
Secure Deployment of the Soil Moisture at the Plot Scale
The engineering work in remote sensing, data, and HPC systems has enabled the secure deployment of the processing chain Soil Moisture at Plot Scale (S2MP) in the supercomputer OCCIGEN at CINES.
PHIDIAS 2nd General Assembly: Moving towards the increase of the HPC and Data Capacities
Two years after the beginning of the PHIDIAS HPC project, this second General Assembly was held on 27-28 October 2021 in Domus Comeliana at the heart of Pisa (IT), was a key meeting for the consortium to gather and discuss the results obtained so far.
Phidias HPC & the connection with the current European HPC Landscape
In the previous episodes, with François Bodin and Charles Troupin, we had a chance to discuss the overarching structure of the initiative, the current HPC, and the supercomputer landscape throughout Europe.
Data pipeline for near real-time analysis of plankton images – Available for the end-users
Finnish Environment Institute – SYKE, one of the PHIDIAS consortiums involved in the Oc
Podcast on Ocean Use Case: Addressing the issues related to the ocean research
Listen as we dive into the first of the PHIDIAS Use Cases, featuring the interview with Charles Troupin, a researcher at the Université de Liège, who will walk us through the PHIDIAS “Ocean use case” and how the project will help in address the issues related to the ocean research.
Upcoming: Call for Centres of Excellence in HPC
The EuroHPC is preparing the transition towards exascale with a new call on Centres of Excellence for HPC. The call will support research and innovation actions that will develop and adapt HPC applications for the exascale and post-exascale era.
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EVENTS
PHIDIAS
PHIDIAS
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