PARDISO

The package PARDISO is a thread-safe, high-performance, robust, memory efficient and easy to use software for solving large sparse symmetric and unsymmetric linear systems of equations on shared-memory and distributed-memory multiprocessors. The solver has has been licensed to thousands of researchers at international scientific laboratories and universities since its first release in 2004. Features of the library version: Unsymmetric, structurally symmetric or symmetric systems, real or complex, positive definite or indefinite, hermitian. LU with complete pivoting. Parallel on SMPs and Cluster of SMPs. Automatic combination of iterative and direct solver algorithms to accelerate the solution process for very large three-dimensional systems.


References in zbMATH (referenced in 184 articles , 1 standard article )

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  1. Basting, Steffen; Quaini, Annalisa; Čanić, Sunčica; Glowinski, Roland: Extended ALE method for fluid-structure interaction problems with large structural displacements (2017)
  2. Gould, Nicholas; Scott, Jennifer: The state-of-the-art of preconditioners for sparse linear least-squares problems (2017)
  3. Gruttmann, F.; Wagner, W.: Shear correction factors for layered plates and shells (2017)
  4. Güttel, Stefan; Tisseur, Françoise: The nonlinear eigenvalue problem (2017)
  5. Jandron, Michael A.; Ruffa, Anthony A.; Baglama, James: An asynchronous direct solver for banded linear systems (2017)
  6. Lee, Moon Soo; Riaz, Amir; Aute, Vikrant: Direct numerical simulation of incompressible multiphase flow with phase change (2017)
  7. Li, Ang; Serban, Radu; Negrut, Dan: Analysis of a splitting approach for the parallel solution of linear systems on GPU cards (2017)
  8. Machat, Hela; Carrayrou, Jér^ome: Comparison of linear solvers for equilibrium geochemistry computations (2017)
  9. Neto, D.M.; Oliveira, M.C.; Menezes, L.F.: Surface smoothing procedures in computational contact mechanics (2017)
  10. Ruthotto, Lars; Treister, Eran; Haber, Eldad: jInv -- a flexible Julia package for PDE parameter estimation (2017)
  11. Schroeder, Philipp W.; Lube, Gert: Stabilised DG-FEM for incompressible natural convection flows with boundary and moving interior layers on non-adapted meshes (2017)
  12. Suñagua, Porfirio; Oliveira, Aurelio R.L.: A new approach for finding a basis for the splitting preconditioner for linear systems from interior point methods (2017)
  13. Torrilhon, Manuel; Sarna, Neeraj: Hierarchical Boltzmann simulations and model error estimation (2017)
  14. Treister, Eran; Haber, Eldad: Full waveform inversion guided by travel time tomography (2017)
  15. Yeung, Yu-Hong; Pothen, Alex; Halappanavar, Mahantesh; Huang, Zhenyu: AMPS: an augmented matrix formulation for principal submatrix updates with application to power grids (2017)
  16. Zhu, Yao; Sameh, Ahmed H.: $\textPSPIKE+$: A family of parallel hybrid sparse linear system solvers (2017)
  17. Badia, Santiago; Martín, Alberto F.; Principe, Javier: Multilevel balancing domain decomposition at extreme scales (2016)
  18. Bolukbasi, Ercan Selcuk; Manguoglu, Murat: A multithreaded recursive and nonrecursive parallel sparse direct solver (2016)
  19. Cannataro, Begüm Şenses; Rao, Anil V.; Davis, Timothy A.: State-defect constraint pairing graph coarsening method for Karush-Kuhn-Tucker matrices arising in orthogonal collocation methods for optimal control (2016)
  20. Chiang, Nai-Yuan; Zavala, Victor M.: An inertia-free filter line-search algorithm for large-scale nonlinear programming (2016)

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Further publications can be found at: http://www.pardiso-project.org/#references