Dossier: SimRace 2015: Numerical Methods and High Performance Computing for Industrial Fluid Flows
Open Access
Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles
Volume 71, Numéro 6, November–December 2016
Dossier: SimRace 2015: Numerical Methods and High Performance Computing for Industrial Fluid Flows
Numéro d'article 65
Nombre de pages 13
Publié en ligne 11 novembre 2016
  • Saad Y. (2003) Iterative methods for sparse linear systems, 2nd edn., Society for Industrial and Applied Mathematics, Philadelphia, PA, USA. ISBN 0898715342. [Google Scholar]
  • Gratien J.-M. (2013) An abstract object oriented runtime system for heterogeneous parallel architecture, in: Proceedings of the 2013 IEEE 27th International Symposium on Parallel and Distributed Processing Workshops and PhD Forum, IPDPSW‘13, IEEE Computer Society, Washington, DC, USA, pp. 1203–1212. ISBN 978-0-7695-4979-8. DOI: 10.1109/IPDPSW.2013.144. [CrossRef] [Google Scholar]
  • Anciaux-Sedrakian A., Gottschling P., Gratien J.-M., Guignon T. (2014) Survey on Effficient Linear Solvers for Porous Media Flow Models on Recent Hardware Architectures, Oil Gas Sci. Technol. - Rev. IFP 69, 4, 753–766. [CrossRef] [EDP Sciences] [Google Scholar]
  • Goglin B. (2014) Managing the Topology of Heterogeneous Cluster Nodes with Hardware Locality (hwloc), in: International Conference on High Performance Computing & Simulation (HPCS 2014) Bologna, Italy, July 2014. IEEE. URL [Google Scholar]
  • NVIDIA Corporation. NVIDIA CUDA compute unified device architecture programming guide. NVIDIA Corporation, 2007. [Google Scholar]
  • Stone J.E., Gohara D., Shi G. (2010) OpenCL: a parallel programming standard for heterogeneous computing systems, IEEE Des. Test 12, 3, 66–73. [Google Scholar]
  • OpenMP Architecture Review Board (2013) OpenMP application program interface version 4.0. URL [Google Scholar]
  • Gautier T., Lima J.V.F, Maillard N., Raffin B. (2013) Xkaapi: a runtime system for data-flow task programming on heterogeneous architectures, in: 27th IEEE International Parallel & Distributed Processing Symposium (IPDPS), Boston, Massachusetts, USA, May 2013. URL [Google Scholar]
  • Augonnet C., Thibault S., Namyst R., Wacrenier P.-A. (2011) StarPU: a unified platform for task scheduling on heterogeneous multicore architectures, Concurr. Comput. 23, 2, 187–198. [CrossRef] [Google Scholar]
  • Bueno-Hedo J., Planas J., Duran A., Badia R.M., Martorell X., Ayguadé E., Labarta J. (2012) Productive programming of GPU clusters with OmpSs, 21 May. URL [Google Scholar]
  • Broquedis F., Clet-Ortega J., Moreaud S., Furmento N., Goglin B., Mercier G., Thibault S., Namyst R. (2010) Namyst. hwloc: a generic framework for managing hardware affinities in HPC applications, in: IEEE (ed.), PDP 2010 - The 18th Euromicro International Conference on Parallel, Distributed and Network-Based Computing, Pisa, Italy, February 2010. DOI: 10.1109/PDP.2010.67. URL [Google Scholar]
  • Blas (basic linear algebra subprograms. URL [Google Scholar]
  • Dolean V., Jolivet P., Nataf F. (2015) An introduction to domain decomposition methods: algorithms, theory, and parallel implementation. URL [Google Scholar]
  • Nicolaides R.A. (1987) Deflation of conjugate gradients with applications to boundary value problems, SIAM J. Numer. Analysis 24, 2, 355–365. [Google Scholar]
  • Spillane N., Dolean V., Hauret P., Nataf F., Pechstein C., Scheichl R. (2014) Abstract robust coarse spaces for systems of PDEs via generalized eigenproblems in the overlaps, Numerische Math. 126, 4, 741–770. [CrossRef] [MathSciNet] [Google Scholar]
  • Karypis G., Kumar V. (1998) A fast and high quality multilevel scheme for partitioning irregular graphs, SIAM J. Sci. Comput. 20, 1, 359–392. [CrossRef] [MathSciNet] [Google Scholar]

Les statistiques affichées correspondent au cumul d'une part des vues des résumés de l'article et d'autre part des vues et téléchargements de l'article plein-texte (PDF, Full-HTML, ePub... selon les formats disponibles) sur la platefome Vision4Press.

Les statistiques sont disponibles avec un délai de 48 à 96 heures et sont mises à jour quotidiennement en semaine.

Le chargement des statistiques peut être long.