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| Título : | Enhancing Energy Production with Exascale HPC Methods |
| Autor : | Mayo-García, Rafael.
et al. |
| Palabras clave : | HPC
Wind energy
Combustion
Hydrocarbon |
| Fecha de publicación : | 2017 |
| Editorial : | Springer |
| Citación : | R. Mayo-García et al. Enhancing Energy Production with Exascale HPC Methods. In: Barrios Hernández C., Gitler I., Klapp J. (eds) High Performance Computing. CARLA 2016. Communications in Computer and Information Science, vol 697. 233-246 (2017). Springer |
| Resumen : | 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. |
| URI : | http://documenta.ciemat.es/handle/123456789/698 |
| Aparece en las colecciones: | Comunicaciones, congresos de Tecnología
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