Extreme-Scale Data Management

Project Information

DAMA

Grant agreement ID: 800144

DOI 10.3030/800144

Project terminated on 31 August 2019

EC signature date 19 March 2018

Start date 1 November 2018

End date 31 October 2020

Funded under

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Total cost € 185 076,00

EU contribution € 185 076,00

Coordinated by

INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET AUTOMATIQUE
France

Objective

This project is concerned with the I/O challenges that arise from the convergence between high performance computing (HPC) and big data, two very different paradigms. This convergence is an important topic for the scientific community today, and extreme-scale machines are expected to observe a heterogeneous workload composed of traditional scientific applications and data analytics tasks.
The goal of this action is to provide data management for extreme-scale computing environments for the convergence scenario, to benefit both types of workload. The methodology will be an experimental one, and the instrument will be the development of an I/O middleware, the data manager. The data manager will combine storage capacity available in the supercomputer, including NVRAM devices, transparently. Its activities will be optimized by minimizing data movement and applying coordination to avoid performance interference due to concurrency. The most important characteristic of this project among the state-of-the-art is the intelligence to learn and predict applications needs, so storage capacity and data can be available at a close location before the user needs them.
The action will benefit from the researcher's experience on parallel I/O for HPC, allied to the host laboratory expertise in in-situ processing, big data, and machine learning. Through this two-year fellowship, the researcher will have the opportunity to expand her knowledge while conducting highly innovative research, what will improve her perspectives for future employment.

Fields of science

• natural sciences › computer and information sciences › data science › big data
• natural sciences › computer and information sciences › artificial intelligence › machine learning › reinforcement learning
• engineering and technology › electrical engineering, electronic engineering, information engineering › electronic engineering › computer hardware › supercomputers
• social sciences › economics and business › business and management › employment
• natural sciences › computer and information sciences › artificial intelligence › heuristic programming

Keywords

• High-performance Computing
• Parallel I
• O
• Big Data
• Data Management

Programme(s)

• H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme
• H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility

Topic(s)

• MSCA-IF-2017 - Individual Fellowships

Call for proposal

H2020-MSCA-IF-2017

Funding Scheme

MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)

Coordinator

INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET AUTOMATIQUE

• Net EU contribution: € 185 076,00
• Address: DOMAINE DE VOLUCEAU ROCQUENCOURT ; 78153 Le Chesnay Cedex ; France
• Region: Ile-de-France › Ile-de-France › Yvelines
• Activity type: Research Organisations
• Total cost: € 185 076,00