Explore the words cloud of the DAMA project. It provides you a very rough idea of what is the project "DAMA" about.
The following table provides information about the project.
Coordinator |
INSTITUT NATIONAL DE RECHERCHE ENINFORMATIQUE ET AUTOMATIQUE
Organization address contact info |
Coordinator Country | France [FR] |
Project website | https://francielizanon.github.io/ |
Total cost | 185˙076 € |
EC max contribution | 185˙076 € (100%) |
Programme |
1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility) |
Code Call | H2020-MSCA-IF-2017 |
Funding Scheme | MSCA-IF-EF-ST |
Starting year | 2018 |
Duration (year-month-day) | from 2018-11-01 to 2020-10-31 |
Take a look of project's partnership.
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1 | INSTITUT NATIONAL DE RECHERCHE ENINFORMATIQUE ET AUTOMATIQUE | FR (LE CHESNAY CEDEX) | coordinator | 185˙076.00 |
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.
year | authors and title | journal | last update |
---|---|---|---|
2019 |
Jean Luca Bez, Francieli Zanon Boito, Ramon Nou, Alberto Miranda, Toni Cortes, Philippe Navaux Adaptive Request Scheduling for the I/O Forwarding Layer using Reinforcement Learning published pages: , ISSN: , DOI: |
pre-print, submitted | 2020-02-17 |
2019 |
Luca Bez, Jean; Zanon Boito, Francieli; Nou, Ramon; Miranda, Alberto; Cortes, Toni; Navaux, Philippe, Detecting I/O Access Patterns of HPC Workloads at Runtime published pages: , ISSN: , DOI: |
The International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), Oct 2019, Campo Grande, Brazil | 2020-02-17 |
2019 |
Zanon Boito, Francieli; Nou, Ramon; Lima Pilla, Laércio; Luca Bez, Jean; Méhaut, Jean-François; Cortes, Toni; Navaux, Philippe On server-side file access pattern matching published pages: , ISSN: , DOI: |
HPCS 2019 - 17th International Conference on High Performance Computing & Simulation, Jul 2019, Dublin, Ireland. pp.1-8 | 2020-02-17 |
2019 |
Pablo Pavan, Jean Luca Bez, Matheus Serpa, Francieli Zanon Boito, Philippe Navaux An Unsupervised Learning Approach for I/O Behavior Characterization published pages: , ISSN: , DOI: |
The International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), Oct 2019, Campo Grande, Brazil | 2020-02-17 |
2019 |
Jean Luca Bez, André Ramos Carneiro, Pablo José Pavan, Valéria Soldera Girelli, Francieli Zanon Boito, Bruno Alves Fagundes, Carla Osthoff, Pedro Leite da Silva Dias, Jean-François Méhaut, Philippe OA Navaux I/O performance of the Santos Dumont supercomputer published pages: 109434201986852, ISSN: 1094-3420, DOI: 10.1177/1094342019868526 |
The International Journal of High Performance Computing Applications | 2020-02-17 |
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The information about "DAMA" are provided by the European Opendata Portal: CORDIS opendata.