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 115 articles , 1 standard article )

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  1. Badia, Santiago; Martín, Alberto F.; Principe, Javier: Multilevel balancing domain decomposition at extreme scales (2016)
  2. 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)
  3. Chiang, Nai-Yuan; Zavala, Victor M.: An inertia-free filter line-search algorithm for large-scale nonlinear programming (2016)
  4. Everdij, Frank P.X.; Lloberas-Valls, Oriol; Simone, Angelo; Rixen, Daniel J.; Sluys, Lambertus J.: Domain decomposition and parallel direct solvers as an adaptive multiscale strategy for damage simulation in quasi-brittle materials (2016)
  5. Harbrecht, Helmut; Loos, Florian: Optimization of current carrying multicables (2016)
  6. Lungten, S.; Schilders, W.H.A.; Maubach, J.M.L.: Sparse block factorization of saddle point matrices (2016)
  7. Paszyński, Maciej: Fast solvers for mesh-based computations (2016)
  8. Říha, Lubomír; Brzobohatý, Tomáš; Markopoulos, Alexandros; Kozubek, Tomáš; Meca, Ondřej; Schenk, Olaf; Vanroose, Wim: Efficient implementation of total FETI solver for graphic processing units using Schur complement (2016)
  9. Wang, Ke; Di, Jingjing; Liu, Don: Improved PHSS iterative methods for solving saddle point problems (2016)
  10. Gangl, P.; Langer, U.; Laurain, A.; Meftahi, H.; Sturm, K.: Shape optimization of an electric motor subject to nonlinear magnetostatics (2015)
  11. Gill, Philip E.; Wong, Elizabeth: Methods for convex and general quadratic programming (2015)
  12. Guermond, Jean-Luc; Minev, Peter: High-order time stepping for the incompressible Navier-Stokes equations (2015)
  13. Gulizzi, V.; Milazzo, A.; Benedetti, I.: An enhanced grain-boundary framework for computational homogenization and micro-cracking simulations of polycrystalline materials (2015)
  14. Hohage, Thorsten; Nannen, Lothar: Convergence of infinite element methods for scalar waveguide problems (2015)
  15. Rothe, Steffen; Schmidt, Jan Henrik; Hartmann, Stefan: Analytical and numerical treatment of electro-thermo-mechanical coupling (2015)
  16. Szyld, Daniel B.; Vecharynski, Eugene; Xue, Fei: Preconditioned eigensolvers for large-scale nonlinear Hermitian eigenproblems with variational characterizations. II. Interior eigenvalues (2015)
  17. Alfonso, J.C.L.; Buttazzo, G.; García-Archilla, B.; Herrero, M.A.; Núñez, L.: Selecting radiotherapy dose distributions by means of constrained optimization problems (2014)
  18. Fiebach, André; Glitzky, Annegret; Linke, Alexander: Uniform global bounds for solutions of an implicit Voronoi finite volume method for reaction-diffusion problems (2014)
  19. Petra, Cosmin G.; Schenk, Olaf; Lubin, Miles; Gäertner, Klaus: An augmented incomplete factorization approach for computing the Schur complement in stochastic optimization (2014)
  20. Talebi, Hossein; Silani, Mohammad; Bordas, Stéphane P.A.; Kerfriden, Pierre; Rabczuk, Timon: A computational library for multiscale modeling of material failure (2014)

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