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Fostering Collaboration in Energy Research and Technological Developments applying new exascale HPC techniques

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10.1109/CCGrid.2016.51
 
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hdl:2117/87760

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Cela, Jose M.
Coutinho, Alvaro L.G.A.
Navaux, Philippe O.A.
Mayo-García, Rafael
Document typeConference report
Defense date2016-05
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessOpen Access
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder
ProjectHPC4E - HPC for Energy (EC-H2020-689772)
Abstract
During the last years, High Performance Computing (HPC) resources have undergone a dramatic transformation, with an explosion on the available parallelism and the use of special purpose processors. There are international initiatives focusing on redesigning hardware and software in order to achieve the Exaflop capability. With this aim, the HPC4E project is applying the 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 that are the present and the future of energy: wind energy production and design, efficient combustion systems for biomass-derived fuels (biogas), and exploration geophysics for hydrocarbon reservoirs. HPC4E joins efforts of several institutions settled in Brazil and Europe.
CitationCela, Jose M. [et al.]. Fostering Collaboration in Energy Research and Technological Developments applying new exascale HPC techniques. A: 2016 16th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, Cartagena (Colombia), May 16-19. "2016 16th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, Proceedings". Institute of Electrical and Electronics Engineers (IEEE), 2016, p. 701-706. 
URIhttp://hdl.handle.net/2117/87760
DOI10.1109/CCGrid.2016.51
Publisher versionhttps://ieeexplore.ieee.org/document/7515758/
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