CORDIS
EU research results

CORDIS

English EN
Designing and Enabling E-infrastructures for intensive Processing in a Hybrid DataCloud

Designing and Enabling E-infrastructures for intensive Processing in a Hybrid DataCloud

Objective

The key concept proposed in the DEEP Hybrid DataCloud project is the need to support intensive computing techniques that require specialized HPC hardware, like GPUs or low latency interconnects, to explore very large datasets. A Hybrid Cloud approach enables the access to such resources that are not easily reachable by the researchers at the scale needed in the current EU e-infrastructure.

We also propose to deploy under the common label of “DEEP as a Service” a set of building blocks that enable the easy development of applications requiring these techniques: deep learning using neural networks, parallel post-processing of very large data, and analysis of massive online data streams.

Three pilot applications exploiting very large datasets in Biology, Physics and Network Security are proposed, and further pilots for dissemination into other areas like Medicine, Earth Observation, Astrophysics, and Citizen Science will be supported in a testbed with significant HPC resources, including latest generation GPUs, to evaluate the performance and scalability of the solutions.
A DevOps approach will be implemented to provide the chain to ensure the quality of the software and services released, that will also be offered to the developers of research applications.

The project will evolve to TRL8 existing services and technologies at TRL6+, including relevant contributions to the EOSC by the INDIGO-DataCloud H2020 project, that the project will enrich with new functionalities already available as prototypes, notably the support for GPUs and low latency interconnects. These services will be deployed in the project testbed, offered to the research communities linked to the project through pilot applications, and integrated under the EOSC framework, where they can be further scaled up in the future.

Coordinator

AGENCIA ESTATAL CONSEJO SUPERIOR DEINVESTIGACIONES CIENTIFICAS

Address

Calle Serrano 117
28006 Madrid

Spain

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 531 250

Participants (9)

Sort alphabetically

Sort by EU Contribution

Expand all

LABORATORIO DE INSTRUMENTACAO E FISICA EXPERIMENTAL DE PARTICULAS

Portugal

EU Contribution

€ 362 500

ISTITUTO NAZIONALE DI FISICA NUCLEARE

Italy

EU Contribution

€ 375 000

INSTYTUT CHEMII BIOORGANICZNEJ POLSKIEJ AKADEMII NAUK

Poland

EU Contribution

€ 242 500

KARLSRUHER INSTITUT FUER TECHNOLOGIE

Germany

EU Contribution

€ 241 250

UNIVERSITAT POLITECNICA DE VALENCIA

Spain

EU Contribution

€ 237 500

CESNET ZAJMOVE SDRUZENI PRAVNICKYCH OSOB

Czechia

EU Contribution

€ 233 750

USTAV INFORMATIKY, SLOVENSKA AKADEMIA VIED

Slovakia

EU Contribution

€ 271 250

ATOS SPAIN SA

Spain

EU Contribution

€ 233 750

HELMHOLTZ ZENTRUM MUENCHEN DEUTSCHES FORSCHUNGSZENTRUM FUER GESUNDHEIT UND UMWELT GMBH

Germany

EU Contribution

€ 260 000

Project information

Grant agreement ID: 777435

Status

Ongoing project

  • Start date

    1 November 2017

  • End date

    30 April 2020

Funded under:

H2020-EU.1.4.1.3.

  • Overall budget:

    € 2 988 750

  • EU contribution

    € 2 988 750

Coordinated by:

AGENCIA ESTATAL CONSEJO SUPERIOR DEINVESTIGACIONES CIENTIFICAS

Spain