PHIDIAS – Prototype of HPC/Data Infrastructure for On-demand Services

23 Sep 2019

Trust-IT, along with its consortium partners, announces the launch of the EU-funded PHIDIAS project which will build a prototype for Data/High Performance Computing.

Bringing solid experience

Trust-IT brings to the table its competences around developing communication strategies and conducting outreach. The organisation has been selected to lead the dissemination and communication activities in PHIDIAS due to its various contributions to EUDAT CDI and the European Open Science Cloud (EOSC) family of related projects in terms of understanding the services on offer, the EOSC assets and developments around the EOSC Portal, which it is heavily involved in.

Moreover, it has evolved the communciations &  branding of the MaX CoE and has very close synergies and is well networked with the communities of the use cases, primarily, oceans, big data, earth observation, as well as the thematic clouds especially the BlueCloud area. 

The project enables the earth science community to discover, manage and process spatial and environmental data spanning the earth's surface, atmosphere, oceans. The project kicks off on 24-25 September 2019 in the CINES premises in Montpellier, France.

PHIDIAS - a closer look

Selected via an Open Call entitled “Creation of generic access services to increase the HPC and data capacities of the European Data Infrastructure”, PHIDIAS has a three-year lifetime and will serve the earth science community by building a prototype for Data/High Performance Computing services based on earth sciences cases. The aim of the project is to enable the earth science community to discover, manage and process spatial and environmental data spanning the earth's surface, atmosphere, oceans.

In addition to developing datasets to be added into the EOSC catalogues, PHIDIAS will optimise workflows to facilitate data reuse, provide open access to standardised HPC services, and render the data FAIR. 

The project will also focus on increasing the use of associated data services via a distributed model for data transfer and resource allocation between two European computing centres (CINES in France and CSC in Finland). The data generated and the services created will be made available on the EU Open Data, EUDAT, and EOSC portals, and preserved using the long-term preservation services of the EOSC. 
Finally, PHIDIAS will propose a generic workflow for massive scientific data which combines computing, dissemination and archiving resources in a single framework.