Explore the words cloud of the ASPIDE project. It provides you a very rough idea of what is the project "ASPIDE" about.
The following table provides information about the project.
Coordinator |
UNIVERSIDAD CARLOS III DE MADRID
Organization address contact info |
Coordinator Country | Spain [ES] |
Total cost | 2˙464˙093 € |
EC max contribution | 2˙464˙093 € (100%) |
Programme |
1. H2020-EU.1.2.2. (FET Proactive) |
Code Call | H2020-FETHPC-2017 |
Funding Scheme | RIA |
Starting year | 2018 |
Duration (year-month-day) | from 2018-06-15 to 2020-12-14 |
Take a look of project's partnership.
# | ||||
---|---|---|---|---|
1 | UNIVERSIDAD CARLOS III DE MADRID | ES (GETAFE (MADRID)) | coordinator | 338˙600.00 |
2 | UNIVERSITA DELLA CALABRIA | IT (ARCAVACATA DI RENDE) | participant | 402˙218.00 |
3 | UNIVERSITAET KLAGENFURT | AT (KLAGENFURT) | participant | 382˙437.00 |
4 | INTEGRIS SOCIETA PER AZIONI | IT (ROMA) | participant | 320˙537.00 |
5 | INSTYTUT CHEMII BIOORGANICZNEJ POLSKIEJ AKADEMII NAUK | PL (POZNAN) | participant | 313˙750.00 |
6 | BULL SAS | FR (LES CLAYES SOUS BOIS) | participant | 297˙875.00 |
7 | INSTITUTUL E-AUSTRIA TIMISOARA | RO (TIMISOARA) | participant | 227˙175.00 |
8 | SERVICIO MADRILENO DE SALUD | ES (MADRID) | participant | 181˙500.00 |
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.
year | authors and title | journal | last update |
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2020 |
Vincenzo De Maio, Dragi Kimovski Multi-objective scheduling of extreme data scientific workflows in Fog published pages: 171-184, ISSN: 0167-739X, DOI: 10.1016/j.future.2019.12.054 |
Future Generation Computer Systems 106 | 2020-02-18 |
2020 |
Roland Matha, Sasko Ristov, Thomas Fahringer, Radu Prodan Simplified Workflow Simulation on Clouds based on Computation and Communication Noisiness published pages: 1-1, ISSN: 1045-9219, DOI: 10.1109/tpds.2020.2967662 |
IEEE Transactions on Parallel and Distributed Systems | 2020-02-18 |
2019 |
Javier López-Gómez, Javier Fernández Muñoz, David del Rio Astorga, Manuel F. Dolz, J. Daniel Garcia Exploring stream parallel patterns in distributed MPI environments published pages: 24-36, ISSN: 0167-8191, DOI: 10.1016/j.parco.2019.03.004 |
Parallel Computing 84 | 2020-02-13 |
2020 |
Vladislav Kashansky, Dragi Kimovski, Radu Prodan, Prateek Agrawal, Fabrizio Marozzo, Iuhasz Gabriel, Marek Justyna and Javier Garcia-Blas M3AT: Monitoring Agents Assignment Model for Data-Intensive Applications has been accepted to the Euromicro PDP’2020 published pages: , ISSN: , DOI: |
Euromicro PDP’2020 1 | 2020-02-13 |
2019 |
Ioan Drăgan, Gabriel Iuhasz, Dana Petcu A Scalable Platform for Monitoring Data Intensive Applications published pages: 503-528, ISSN: 1570-7873, DOI: 10.1007/s10723-019-09483-1 |
Journal of Grid Computing 17/3 | 2020-02-13 |
2019 |
Domenico Talia A view of programming scalable data analysis: from clouds to exascale published pages: , ISSN: 2192-113X, DOI: 10.1186/s13677-019-0127-x |
Journal of Cloud Computing 8/1 | 2020-02-13 |
2019 |
Alberto Cascajo, David E. Singh, Jesus Carretero Performance-Aware Scheduling of Parallel Applications on Non-Dedicated Clusters published pages: 982, ISSN: 2079-9292, DOI: 10.3390/electronics8090982 |
Electronics 8/9 | 2020-02-13 |
2019 |
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 A novel Data-Centric Programming Model for Large-Scale Parallel Systems published pages: , ISSN: , DOI: |
EuroPAR 2019 1 | 2020-02-13 |
2019 |
Loris Belcastro, Fabrizio Marozzo, Domenico Talia, Paolo Trunfio ParSoDA: high-level parallel programming for social data mining published pages: , ISSN: 1869-5450, DOI: 10.1007/s13278-018-0547-5 |
Social Network Analysis and Mining 9/1 | 2020-02-13 |
2019 |
Javier López-Gómez, David del Rio Astorga, Manuel F. Dolz, Javier Fernández, J. Daniel GarcÃa Detecting semantic violations of lock-free data structures through C++ contracts published pages: , ISSN: 0920-8542, DOI: 10.1007/s11227-019-02827-4 |
The Journal of Supercomputing | 2020-02-13 |
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The information about "ASPIDE" are provided by the European Opendata Portal: CORDIS opendata.