Stammdaten

ASPIDE: exAScale ProgramIng models for extreme Data procEssing
Beschreibung:

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.

Schlagworte: High performance computing, Scientific computing and data processing, Software Design & Development, Data intensive, Programming model, Productivity, High performance data analytics, Data centric,Deep Learning, Urban computing, Sentiment analytics
Kurztitel: ASPIDE
Zeitraum: 15.06.2018 - 14.12.2020
Kontakt-Email: radu.prodan@aau.at
Homepage: https://www.aspide-project.eu/

Kategorisierung

Projekttyp Forschungsförderung (auf Antrag oder Ausschreibung)
Förderungstyp §27
Forschungstyp
  • Angewandte Forschung
Sachgebiete
  • 102025 - Verteilte Systeme
  • 102022 - Softwareentwicklung
Forschungscluster Kein Forschungscluster ausgewählt
Genderrelevanz Genderrelevanz nicht ausgewählt
Projektfokus
  • Science to Science (Qualitätsindikator: I)
Klassifikationsraster der zugeordneten Organisationseinheiten:
Arbeitsgruppen
  • Distributed Multimedia Systems

Finanzierung

Förderprogramm
Horizon 2020
Organisation: European Commission

Organisation: European Commission

Kooperationen

Organisation Adresse
UNIVERSIDAD CARLOS III DE MADRID
Calle Madrid 126
28903  Getafe, Madrid
Spanien
Calle Madrid 126
ES - 28903  Getafe, Madrid
Institutul e-Austria
Bulevardul Vasile Pârvan 4
300223  Timișoara
Rumänien
Bulevardul Vasile Pârvan 4
RO - 300223  Timișoara
Institute of Bioorganic Chemistry of the Polish Academy of Sciences
Zygmunta Noskowskiego 12/14
61-704  Poznań
Polen
Zygmunta Noskowskiego 12/14
PL - 61-704  Poznań
Servicio Madrileno de Salud
Plaza Carlos Trias Bertran 7
28020  Madrid
Spanien
Plaza Carlos Trias Bertran 7
ES - 28020  Madrid
Bull SAS
Rue Jean Jaures 68
78340  Les Clayes Sous Bois
Frankreich
Rue Jean Jaures 68
FR - 78340  Les Clayes Sous Bois
Universita della Calabria
Via Pietro Bucci
87036   Arcavacata
Italien
Via Pietro Bucci
IT - 87036  Arcavacata
Integris S.P.A.
Via di Donna Olimpia 166
00152  Rom
Italien
Via di Donna Olimpia 166
IT - 00152  Rom