Laboratorio Cini Data Science

Sessioni su Big Data a CLADAG 2015

Sessioni su Big Data a CLADAG 2015

Pula (Cagliari), 8-10 ottobre 2015: il Laboratorio organizza ...

Horizon 2020 ICT-16 Big Data networking day

Horizon 2020 ICT-16 Big Data networking day

The aim of the event is to inform and guide prospective prop ...

CINECA Workshop on PICO Infrastructure

CINECA Workshop on PICO Infrastructure

Cineca has recently initiated a new program for the prom ...

Data Public-Private Partnership

Data Public-Private Partnership

The Data Public Private Partnership aims at strengthening th ...

Governments should embrace Big Data

Governments should embrace Big Data

Commission urges governments to embrace potential of Big Dat ...

Verso una florida economia basata sui dati

Verso una florida economia basata sui dati

Comunicazione della Commissione al Parlamento Europeo, al Co ...

The growing need to process extremely large data sets is the driving force accelerating the transition to high-performance computing. However, the flat data storage hierarchies with a central parallel file system are proving to be inadequate. Emerging multi-tier storage hierarchies could meet the needs of data-intensive applications but currently lack adequate control mechanisms for the available resources.

 

 

The EU-funded ADMIRE project plans to develop an adaptive storage system that should allow high-performance computing systems to deliver very high throughput and increase application performance. The aim is to significantly improve the runtime of applications in fields such as weather forecasting, remote sensing and deep learning.

 

Start date: 1 April 2021

Duration: 36 months 

Total cost: € 7 963 286,25

Project link: https://www.admire-eurohpc.eu/

Topic: EuroHPC-01-2019 - Extreme scale computing and data driven technologies

 

CINI Units involved

University of Pisa

University of Turin

University of Naples Parthenope

University of Milan

 

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