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 255 articles , 1 standard article )

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  1. Castanon Quiroz, Daniel; Di Pietro, Daniele A.: A hybrid high-order method for the incompressible Navier-Stokes problem robust for large irrotational body forces (2020)
  2. Duff, Iain; Hogg, Jonathan; Lopez, Florent: A new sparse (LDL^T) solver using a posteriori threshold pivoting (2020)
  3. Gusev, A. O.; Shcheritsa, O. V.; Mazhorova, O. S.: Conservative finite volume strategy for investigation of solution crystal growth techniques (2020)
  4. Liu, Xiao; Xia, Jianlin; de Hoop, Maarten: Fast factorization update for general elliptic equations under multiple coefficient updates (2020)
  5. Schätzer, Markus; Fries, Thomas-Peter: Loaded crack surfaces in two and three dimensions with XFEM (2020)
  6. Song, Qi; Yang, Ren; Chen, Pu: An improvement to exact reanalysis algorithm for local non-topological structural modifications (2020)
  7. Bernaschi, Massimo; Carrozzo, Mauro; Franceschini, Andrea; Janna, Carlo: A dynamic pattern factored sparse approximate inverse preconditioner on graphics processing units (2019)
  8. Bollhöfer, Matthias; Eftekhari, Aryan; Scheidegger, Simon; Schenk, Olaf: Large-scale sparse inverse covariance matrix estimation (2019)
  9. Botti, Lorenzo; Di Pietro, Daniele A.; Droniou, Jérôme: A hybrid high-order method for the incompressible Navier-Stokes equations based on Temam’s device (2019)
  10. Chen, Geng; Zhang, Lele; Bezold, Alexander; Broeckmann, Christoph; Weichert, Dieter: Statistical investigation on influence of grain size on effective strengths of particulate reinforced metal matrix composites (2019)
  11. Du, Cheng-Han; Chiou, Yih-Peng; Wang, Weichung: Compressed hierarchical Schur algorithm for frequency-domain analysis of photonic structures (2019)
  12. Fabien, Maurice S.; Knepley, Matthew G.; Mills, Richard T.; Rivière, Béatrice M.: Manycore parallel computing for a hybridizable discontinuous Galerkin nested multigrid method (2019)
  13. Gander, Martin J.; Zhang, Hui: A class of iterative solvers for the Helmholtz equation: factorizations, sweeping preconditioners, source transfer, single layer potentials, polarized traces, and optimized Schwarz methods (2019)
  14. Groß, Michael; Dietzsch, Julian: Variational-based locking-free energy-momentum schemes of higher-order for thermo-viscoelastic fiber-reinforced continua (2019)
  15. Groß, Michael; Dietzsch, Julian; Röbiger, Chris: A mixed B-bar formulation derived by a principle of virtual power for energy-momentum time integrations of fiber-reinforced continua (2019)
  16. Herdeiro, C.; Perapechka, I.; Radu, E.; Shnir, Ya.: Gravitating solitons and black holes with synchronised hair in the four dimensional O(3) sigma-model (2019)
  17. Kopaničáková, Alena; Krause, Rolf; Tamstorf, Rasmus: Subdivision-based nonlinear multiscale cloth simulation (2019)
  18. Kuřátko, Jan: Factorization of saddle-point matrices in dynamical systems optimization -- reusing pivots (2019)
  19. Li, Ruipeng; Xi, Yuanzhe; Erlandson, Lucas; Saad, Yousef: The eigenvalues slicing library (EVSL): algorithms, implementation, and software (2019)
  20. Scott, Jennifer A.; Tůma, Miroslav: Sparse stretching for solving sparse-dense linear least-squares problems (2019)

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