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 264 articles , 1 standard article )

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  1. Bollhöfer, Matthias; Schenk, Olaf; Janalik, Radim; Hamm, Steve; Gullapalli, Kiran: State-of-the-art sparse direct solvers (2020)
  2. 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)
  3. Çuğu, İlke; Manguoğlu, Murat: A parallel multithreaded sparse triangular linear system solver (2020)
  4. Duff, Iain; Hogg, Jonathan; Lopez, Florent: A new sparse (LDL^T) solver using a posteriori threshold pivoting (2020)
  5. Ezvan, Olivier; Zeng, Xiaoshu; Ghanem, Roger; Gencturk, Bora: Multiscale modal analysis of fully-loaded spent nuclear fuel canisters (2020)
  6. Florian Kummer, Martin Smuda, Jens Weber: BoSSS: a package for multigrid extended discontinuous Galerkin methods (2020) arXiv
  7. Gusev, A. O.; Shcheritsa, O. V.; Mazhorova, O. S.: Conservative finite volume strategy for investigation of solution crystal growth techniques (2020)
  8. Kardoš, Juraj; Kourounis, Drosos; Schenk, Olaf: Structure-exploiting interior point methods (2020)
  9. Liu, Xiao; Xia, Jianlin; de Hoop, Maarten: Fast factorization update for general elliptic equations under multiple coefficient updates (2020)
  10. Manguoğlu, Murat; Polizzi, Eric; Sameh, Ahmed H.: Parallel hybrid sparse linear system solvers (2020)
  11. Sashikumaar Ganesan, Manan Shah: SParSH-AMG: A library for hybrid CPU-GPU algebraic multigrid and preconditioned iterative methods (2020) arXiv
  12. Schätzer, Markus; Fries, Thomas-Peter: Loaded crack surfaces in two and three dimensions with XFEM (2020)
  13. Song, Qi; Yang, Ren; Chen, Pu: An improvement to exact reanalysis algorithm for local non-topological structural modifications (2020)
  14. Bernaschi, Massimo; Carrozzo, Mauro; Franceschini, Andrea; Janna, Carlo: A dynamic pattern factored sparse approximate inverse preconditioner on graphics processing units (2019)
  15. Bollhöfer, Matthias; Eftekhari, Aryan; Scheidegger, Simon; Schenk, Olaf: Large-scale sparse inverse covariance matrix estimation (2019)
  16. 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)
  17. 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)
  18. Du, Cheng-Han; Chiou, Yih-Peng; Wang, Weichung: Compressed hierarchical Schur algorithm for frequency-domain analysis of photonic structures (2019)
  19. Fabien, Maurice S.; Knepley, Matthew G.; Mills, Richard T.; Rivière, Béatrice M.: Manycore parallel computing for a hybridizable discontinuous Galerkin nested multigrid method (2019)
  20. Fuhrmann, Jürgen; Guhlke, Clemens; Linke, Alexander; Merdon, Christian; Müller, Rüdiger: Models and numerical methods for electrolyte flows (2019)

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