 |
HAL-LIRMM - Open Archive |  |
Conference papers
Enhancing Energy Production with Exascale HPC Methods
José Camata
1
José Cela
2
Danilo Costa
1
Alvaro Lga Coutinho
1
Daniel Fernández-Galisteo
3
Carmen Jimenez
3
Vadim Kourdioumov
3
Marta Mattoso
1
Rafael Mayo-García
3
Thomas Miras
1
José Moríñigo
3
Jorge Navarro
3
Philippe Navaux
4
Daniel de Oliveira
1
Manuel Rodríguez-Pascual
3
Vítor Silva
1
Renan Souza
1
Patrick Valduriez
5
5
ZENITH - Scientific Data Management
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
Daniel Fernández-Galisteo 3
Author
Carmen Jimenez 3
Author IdHAL : carmen-jimenez ORCID : https://orcid.org/0000-0002-9601-1825
Vadim Kourdioumov 3
Author
Marta Mattoso 1
Author
Philippe O A Navaux 4
Author
Daniel de Oliveira 1
Author
Manuel Rodríguez-Pascual 3
Author
Vítor Silva 1
Author
Renan Souza 1
Author
Patrick Valduriez 5
Author Employer institution : Institut National de Recherche en Informatique et en Automatique IdHAL : patrick-valduriez ORCID : https://orcid.org/0000-0001-6506-7538
1
COPPE-UFRJ - Instituto Alberto Luiz Coimbra de Pós-Graduação e Pesquisa de Engenharia (Cidade Universitária Centro de Tecnologia, Bloco G, sala 101 Ilha do Fundão CEP: 21945-970 Caixa Postal: 68501 Rio de Janeiro - RJ - Brasil - Brazil)
- UFRJ - Universidade Federal do Rio de Janeiro (Av. Pedro Calmon, 550 - Cidade Universitária, Rio de Janeiro - RJ, 21941-901 - Brazil)
2
BSC - CNS - Barcelona Supercomputing Center - Centro Nacional de Supercomputacion (Torre Girona c/ Jordi Girona, 31, 08034 Barcelona - Spain)
3
CIEMAT - Centro de Investigaciones Energéticas Medioambientales y Tecnológicas [Madrid] (Av. Complutense, 40, 28040 Madrid, Espagne
E-28040 Madrid - Spain)
4
UFRGS - Instituto de Informática da UFRGS (Reitoria, Av. Paulo Gama 110 - Porto Alegre/RS - Brazil)
- UFRGS - Universidade Federal do Rio Grande do Sul [Porto Alegre] (Av. Paulo Gama, 110 - Bairro Farroupilha - Porto Alegre - Rio Grande do Sul - Brazil)
5
ZENITH - Scientific Data Management (France)
- LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (161 rue Ada - 34095 Montpellier - France)
- UM - Université de Montpellier : UMR5506 (163 rue Auguste Broussonnet - 34090 Montpellier - France)
- CNRS - Centre National de la Recherche Scientifique : UMR5506 (France)
- CRISAM - Inria Sophia Antipolis - Méditerranée (2004 route des Lucioles BP 93 06902 Sophia Antipolis - France)
- Inria - Institut National de Recherche en Informatique et en Automatique (Domaine de Voluceau Rocquencourt - BP 105 78153 Le Chesnay Cedex - France)
Abstract : High Performance Computing (HPC) resources have become the key actor for achieving more ambitious challenges in many disciplines. In this step beyond, an explosion on the available parallelism and the use of special purpose processors are crucial. With such a goal, the HPC4E project applies new exascale HPC techniques to energy industry simulations, customizing them if necessary, and going beyond the state-of-the-art in the required HPC exascale simulations for different energy sources. In this paper, a general overview of these methods is presented as well as some specific preliminary results.
Document type :
Conference papers
Complete list of metadata
https://hal-lirmm.ccsd.cnrs.fr/lirmm-01654914
Contributor : Patrick Valduriez <>
Submitted on : Monday, December 4, 2017 - 2:52:54 PM
Last modification on : Monday, November 30, 2020 - 11:04:12 AM
Contributor : Patrick Valduriez <>
Submitted on : Monday, December 4, 2017 - 2:52:54 PM
Last modification on : Monday, November 30, 2020 - 11:04:12 AM
File
Enhancing Energy Production wi...
Files produced by the author(s)
Identifiers
- HAL Id : lirmm-01654914, version 1
- DOI : 10.1007/978-3-319-57972-6_17
Citation
José Camata, José Cela, Danilo Costa, Alvaro Lga Coutinho, Daniel Fernández-Galisteo, et al.. Enhancing Energy Production with Exascale HPC Methods. CARLA: Latin American High Performance Computing Conference, Aug 2016, Mexico City, Mexico. pp.233-246, ⟨10.1007/978-3-319-57972-6_17⟩. ⟨lirmm-01654914⟩
Metrics
Record views
357
Files downloads