CORDIS

EU research results

CORDIS

ASPIDE: exAScale ProgramIng models for extreme Data procEssing

Project information

ASPIDE

Grant agreement ID: 801091

Status

Ongoing project

Start date

15 June 2018
End date

14 December 2020

Funded under:

H2020-EU.1.2.2.

Overall budget:

€ 2 464 093,75
EU contribution

€ 2 464 093,75

Coordinated by:

UNIVERSIDAD CARLOS III DE MADRID

Spain

Objective

Extreme Data is an incarnation of Big Data concept distinguished by the massive amounts of data that must be queried, communicated and analyzed in (near) real-time by using a very large number of memory/storage elements and Exascale computing systems. Immediate examples are the scientific data produced at a rate of hundreds of gigabits-per-second that must be stored, filtered and analyzed, the millions of images per day that must be mined (analyzed) in parallel, the one billion of social data posts queried in real-time on an in-memory components database. Traditional disks or commercial storage cannot handle nowadays the extreme scale of such application data.

Following the need of improvement of current concepts and technologies, ASPIDE’s activities focus on data-intensive applications running on systems composed of up to millions of computing elements (Exascale systems). Practical results will include the methodology and software prototypes that will be designed and used to implement Exascale applications.

The ASPIDE project will contribute with the definition of a new programming paradigms, APIs, runtime tools and methodologies for expressing data-intensive tasks on Exascale systems, which can pave the way for the exploitation of massive parallelism over a simplified model of the system architecture, promoting high performance and efficiency, and offering powerful operations and mechanisms for processing extreme data sources at high speed and/or real-time.

Field of Science

/natural sciences/computer and information sciences/data science/big data

/natural sciences/computer and information sciences/data science/data processing

/natural sciences/computer and information sciences/software

Programme(s)

H2020-EU.1.2.2. - FET Proactive

Topic(s)

FETHPC-02-2017 - Transition to Exascale Computing

Call for proposal

H2020-FETHPC-2017

See other projects for this call

Funding Scheme

RIA - Research and Innovation action

Leaflet | Map data © OpenStreetMap contributors, Credit: EC-GISCO, © EuroGeographics for the administrative boundaries

Coordinator

UNIVERSIDAD CARLOS III DE MADRID

Address

Calle Madrid 126
28903 Getafe (Madrid)

Spain

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 338 600

Website

Contact the organisation

Participants (7)

Sort alphabetically

Sort by EU Contribution

Expand all

INSTITUTUL E-AUSTRIA TIMISOARA

Romania

EU Contribution

€ 227 175

UNIVERSITA DELLA CALABRIA

Italy

EU Contribution

€ 402 218,75

UNIVERSITAET KLAGENFURT

Austria

EU Contribution

€ 382 437,50

INSTYTUT CHEMII BIOORGANICZNEJ POLSKIEJ AKADEMII NAUK

Poland

EU Contribution

€ 313 750

SERVICIO MADRILENO DE SALUD

Spain

EU Contribution

€ 181 500

INTEGRIS SOCIETA PER AZIONI

Italy

EU Contribution

€ 320 537,50

BULL SAS

France

EU Contribution

€ 297 875

Project information

ASPIDE

Grant agreement ID: 801091

Status

Ongoing project

Start date

15 June 2018
End date

14 December 2020

Funded under:

H2020-EU.1.2.2.

Overall budget:

€ 2 464 093,75
EU contribution

€ 2 464 093,75

Coordinated by:

UNIVERSIDAD CARLOS III DE MADRID

Spain

Project information

ASPIDE

Grant agreement ID: 801091

Status

Ongoing project

Start date

15 June 2018
End date

14 December 2020

Funded under:

H2020-EU.1.2.2.

Overall budget:

€ 2 464 093,75
EU contribution

€ 2 464 093,75

Coordinated by:

UNIVERSIDAD CARLOS III DE MADRID

Spain

Project information

ASPIDE

Grant agreement ID: 801091

Status

Ongoing project

Start date

15 June 2018
End date

14 December 2020

Funded under:

H2020-EU.1.2.2.

Overall budget:

€ 2 464 093,75
EU contribution

€ 2 464 093,75

Coordinated by:

UNIVERSIDAD CARLOS III DE MADRID

Project information

ASPIDE

Grant agreement ID: 801091

Status

Ongoing project

Start date

15 June 2018
End date

14 December 2020

Funded under:

H2020-EU.1.2.2.

Overall budget:

€ 2 464 093,75
EU contribution

€ 2 464 093,75

Coordinated by:

UNIVERSIDAD CARLOS III DE MADRID

Spain

Deliverables

Deliverables not available

Publications

Peer reviewed articles (8)

Performance-Aware Scheduling of Parallel Applications on Non-Dedicated Clusters

Author(s): Alberto Cascajo, David E. Singh, Jesus Carretero

Published in: Electronics, Issue 8/9, 2019, Page(s) 982, ISSN 2079-9292

DOI: 10.3390/electronics8090982

Detecting semantic violations of lock-free data structures through C++ contracts

Author(s): Javier López-Gómez, David del Rio Astorga, Manuel F. Dolz, Javier Fernández, J. Daniel García

Published in: The Journal of Supercomputing, 2019, ISSN 0920-8542

DOI: 10.1007/s11227-019-02827-4

Simplified Workflow Simulation on Clouds based on Computation and Communication Noisiness

Author(s): Roland Matha, Sasko Ristov, Thomas Fahringer, Radu Prodan

Published in: IEEE Transactions on Parallel and Distributed Systems, 2020, Page(s) 1-1, ISSN 1045-9219

DOI: 10.1109/tpds.2020.2967662

Exploring stream parallel patterns in distributed MPI environments

Author(s): Javier López-Gómez, Javier Fernández Muñoz, David del Rio Astorga, Manuel F. Dolz, J. Daniel Garcia

Published in: Parallel Computing, Issue 84, 2019, Page(s) 24-36, ISSN 0167-8191

DOI: 10.1016/j.parco.2019.03.004

Multi-objective scheduling of extreme data scientific workflows in Fog

Author(s): Vincenzo De Maio, Dragi Kimovski

Published in: Future Generation Computer Systems, Issue 106, 2020, Page(s) 171-184, ISSN 0167-739X

DOI: 10.1016/j.future.2019.12.054

A Scalable Platform for Monitoring Data Intensive Applications

Author(s): Ioan Drăgan, Gabriel Iuhasz, Dana Petcu

Published in: Journal of Grid Computing, Issue 17/3, 2019, Page(s) 503-528, ISSN 1570-7873

DOI: 10.1007/s10723-019-09483-1

ParSoDA: high-level parallel programming for social data mining

Author(s): Loris Belcastro, Fabrizio Marozzo, Domenico Talia, Paolo Trunfio

Published in: Social Network Analysis and Mining, Issue 9/1, 2019, ISSN 1869-5450

DOI: 10.1007/s13278-018-0547-5

A view of programming scalable data analysis: from clouds to exascale

Author(s): Domenico Talia

Published in: Journal of Cloud Computing, Issue 8/1, 2019, ISSN 2192-113X

DOI: 10.1186/s13677-019-0127-x

Conference proceedings (2)

A novel Data-Centric Programming Model for Large-Scale Parallel Systems

Author(s): Domenico Talia, Paolo Trunfio, Fabrizio Marozzo, Loris Belcastro, Javier Garcia-Blas, David del Rio, Philippe Couvee, Gael Goret, Lionel Vincent, Alberto Fernandez-Pena, Daniel Martin de Blas, Mirko Nardi, Teresa Pizzuti, Adrian Spataru and Marek Justyna

Published in: EuroPAR 2019, Issue 1, 2019

M3AT: Monitoring Agents Assignment Model for Data-Intensive Applications has been accepted to the Euromicro PDP’2020

Author(s): Vladislav Kashansky, Dragi Kimovski, Radu Prodan, Prateek Agrawal, Fabrizio Marozzo, Iuhasz Gabriel, Marek Justyna and Javier Garcia-Blas

Published in: Euromicro PDP’2020, Issue 1, 2020

Project information

ASPIDE

Grant agreement ID: 801091

Status

Ongoing project

Start date

15 June 2018
End date

14 December 2020

Funded under:

H2020-EU.1.2.2.

Overall budget:

€ 2 464 093,75
EU contribution

€ 2 464 093,75

Coordinated by:

UNIVERSIDAD CARLOS III DE MADRID

Project information

ASPIDE

Grant agreement ID: 801091

Status

Ongoing project

Start date

15 June 2018
End date

14 December 2020

Funded under:

H2020-EU.1.2.2.

Overall budget:

€ 2 464 093,75
EU contribution

€ 2 464 093,75

Coordinated by:

UNIVERSIDAD CARLOS III DE MADRID

Spain

Project information

ASPIDE

Grant agreement ID: 801091

Status

Ongoing project

Start date

15 June 2018
End date

14 December 2020

Funded under:

H2020-EU.1.2.2.

Overall budget:

€ 2 464 093,75
EU contribution

€ 2 464 093,75

Coordinated by:

UNIVERSIDAD CARLOS III DE MADRID

Download

PDF

XML

Last update: 7 June 2018

Record number: 215834

CORDIS

Project information

Objective

Coordinator

Participants (7)

Project information

Project information

Project information

Project information

Deliverables

Publications

Project information

Project information

Project information

Share this page

Download