- 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
| Issue |
Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles
Volume 71, Number 5, September–October 2016
Dossier: SimRace 2015: Numerical Methods and High Performance Computing for Industrial Fluid Flows
|
|
|---|---|---|
| Article Number | 63 | |
| Number of page(s) | 9 | |
| DOI | https://doi.org/10.2516/ogst/2016018 | |
| Published online | 21 October 2016 | |
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.