- Wesseling P., Sonneveld P. (1980) Numerical experiments with a multiple grid and a preconditioned Lanczos type method, in Approximation Methods for Navier-Stokes Problems, in Rautmann R. (ed.), Lecture Notes in Mathematics, Berlin, Heidelberg, New-York, 771, 543–562. [CrossRef] [Google Scholar]
- Saad Y. (2003) Iterative methods for Sparse Linear systems, SIAM, Philadelphia. [CrossRef] [Google Scholar]
- Sonneveld P., van Gijzen M. (2007) IDR(s), a family of simple and fast algorithms for solving large nonsymmetric linear systems, Report 07-07, Delft University of Technology, available at: http://ta.twi.tudelft.nl/nw/users/gijzen/idrs_report.pdf [Google Scholar]
- van Gijzen M., Sonneveld P. (2011) Algorithm 913: An elegant IDR(s) Variant that efficiently exploits biorthogonality properties, ACM Trans. Math. Soft. 38, 5, available at: http://ta.twi.tudelft.nl/nw/users/gijzen/idrs_toms.pdf [CrossRef] [Google Scholar]
- Collignon T.P., van Gijzen M. (2011) Minimizing synchronizations in IDR(s), Numerical Linear Algebra with Applications 18, 805–825, available at: http://ta.twi.tudelft.nl/nw/users/gijzen/nlaa_idrs.pdf [CrossRef] [MathSciNet] [Google Scholar]
- Spinlocks, POSIX standard of the OpenGroup, available at http://pubs.opengroup.org/onlinepubs/009695399/functions/pthread_spin_lock.html [Google Scholar]
- Memory barriers in the Gnu Compiler collection, available at https://gcc.gnu.org/onlinedocs/gcc/_005f_005fsync-Builtins.html [Google Scholar]
- Naumov M., Arsaev M., Castonguay P., Cohen J., Demouth J., Eaton J., Layton S., Markovskiy N., Reguly I., Sakharnykh N., Sellappan V., Strzodka R. (2014) AmgX: A library for GPU accelerated algebraic multigrid and preconditioned iterative methods, SIAM J. Sci. Comput. 37, 5, S602–S626. [CrossRef] [Google Scholar]
- Li R., Saad Y. (2013) GPU-accelerated preconditioned iterative linear solvers, J. Supercomput. 63, 2013, 443–466. [CrossRef] [Google Scholar]
- NVIDIA Cuda, programming environment for NVIDIA GPUs, available at http://www.nvidia.fr/object/cuda-parallel-computing-fr.html [Google Scholar]
- NVIDIA CuBlas, library for Blas routines on GPU, available at http://docs.nvidia.com/cuda/cublas [Google Scholar]
- NVIDIA CuSparse, Library for Sparse linear algebra on GPU, available at http://docs.nvidia.com/cuda/cusparse/ [Google Scholar]
- OpenSHMEM standard, available at http://www.openshmem.org [Google Scholar]
- Open-MPI, Open Message Passing Interface, available at: http://www.open-mpi.org [Google Scholar]
- METIS, Graph and meshes decomposition library, available at http://glaros.dtc.umn.edu/gkhome/views/metis [Google Scholar]
Open Access
| Numéro |
Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles
Volume 71, Numéro 5, September–October 2016
Dossier: SimRace 2015: Numerical Methods and High Performance Computing for Industrial Fluid Flows
|
|
|---|---|---|
| Numéro d'article | 63 | |
| Nombre de pages | 9 | |
| DOI | https://doi.org/10.2516/ogst/2016018 | |
| Publié en ligne | 21 octobre 2016 | |
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