Dossier: SimRace 2015: Numerical Methods and High Performance Computing for Industrial Fluid Flows
Open Access
Issue
Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles
Volume 71, Number 6, November–December 2016
Dossier: SimRace 2015: Numerical Methods and High Performance Computing for Industrial Fluid Flows
Article Number 65
Number of page(s) 13
DOI https://doi.org/10.2516/ogst/2016020
Published online 11 November 2016
  • Saad Y. (2003) Iterative methods for sparse linear systems, 2nd edn., Society for Industrial and Applied Mathematics, Philadelphia, PA, USA. ISBN 0898715342. [CrossRef]
  • 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]
  • 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]
  • 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 https://hal.inria.fr/hal-00985096.
  • NVIDIA Corporation. NVIDIA CUDA compute unified device architecture programming guide. NVIDIA Corporation, 2007.
  • Stone J.E., Gohara D., Shi G. (2010) OpenCL: a parallel programming standard for heterogeneous computing systems, IEEE Des. Test 12, 3, 66–73.
  • OpenMP Architecture Review Board (2013) OpenMP application program interface version 4.0. URL http://www.openmp.org/mp-documents/OpenMP4.0.0.pdf.
  • 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 https://hal.inria.fr/hal-00799904.
  • 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]
  • 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 http://www.computer.org/csdl/proceedings/ipdps/2012/4675/00/4675a557-abs.html.
  • 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 https://hal.inria.fr/inria-00429889.
  • Blas (basic linear algebra subprograms. URL http://www.netlib.org/blas/.
  • Dolean V., Jolivet P., Nataf F. (2015) An introduction to domain decomposition methods: algorithms, theory, and parallel implementation. URL http://bookstore.siam.org/ot144/. [CrossRef]
  • Nicolaides R.A. (1987) Deflation of conjugate gradients with applications to boundary value problems, SIAM J. Numer. Analysis 24, 2, 355–365. [NASA ADS] [CrossRef] [MathSciNet]
  • 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]
  • 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]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.