WSMP: A high-performance serial and parallel sparse linear solver. Watson Sparse Matrix Package (WSMP) is a collection of algorithms for efficiently solving large systems of linear equations whose coefficient matrices are sparse. This high-performance, robust, and easy-to-use software can be used as a serial package, or in a shared-memory multiprocessor environment, or as a scalable parallel solver in a message-passing environment, where each node can either be a uniprocessor or a shared-memory multiprocessor

References in zbMATH (referenced in 47 articles )

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  1. Janna, Carlo; Ferronato, Massimilano; Gambolati, Giuseppe: Enhanced block FSAI preconditioning using domain decomposition techniques (2013)
  2. Ho, Kenneth L.; Greengard, Leslie: A fast direct solver for structured linear systems by recursive skeletonization (2012)
  3. Lubin, Miles; Petra, Cosmin G.; Anitescu, Mihai: The parallel solution of dense saddle-point linear systems arising in stochastic programming (2012)
  4. Jog, C. S.: A finite element method for compressible viscous fluid flows (2011)
  5. Jog, C. S.; Pal, R. K.: A monolithic strategy for fluid -- structure interaction problems (2011)
  6. Lin, Lin; Yang, Chao; Lu, Jianfeng; Ying, Lexing; E, Weinan: A fast parallel algorithm for selected inversion of structured sparse matrices with application to 2D electronic structure calculations (2011)
  7. Lin, Lin; Yang, Chao; Meza, Juan C.; Lu, Jianfeng; Ying, Lexing; E, Weinan: SelInv -- an algorithm for selected inversion of a sparse symmetric matrix (2011)
  8. Mehrmann, Volker; Schröder, Christian: Nonlinear eigenvalue and frequency response problems in industrial practice (2011)
  9. Gupta, Anshul; George, Thomas: Adaptive techniques for improving the performance of incomplete factorization preconditioning (2010)
  10. Hogg, J. D.; Reid, J. K.; Scott, J. A.: Design of a multicore sparse Cholesky factorization using DAGs (2010)
  11. Jog, C. S.; Kumar, Rakesh: Shortcomings of discontinuous-pressure finite element methods on a class of transient problems (2010)
  12. Herrero, José R.; Navarro, Juan J.: Hypermatrix oriented supernode amalgamation (2008)
  13. Gupta, Anshul: A shared- and distributed-memory parallel general sparse direct solver (2007)
  14. Steinsland, Ingelin: Parallel exact sampling and evaluation of Gaussian Markov random fields (2007)
  15. Bollhöfer, Matthias; Schenk, Olaf: Combinatorial aspects in sparse elimination methods (2006)
  16. Salahi, Maziar; Terlaky, Tamás; Zhang, Guoqing: The complexity of self-regular proximity based infeasible IPMs (2006)
  17. Fašangová, Eva; Miana, Pedro J.: Spectral mapping inclusions for the Phillips functional calculus in Banach spaces and algebras (2005)
  18. Mészáros, C.: The Cholesky factorization in interior point methods (2005)
  19. Mészáros, Csaba: On the performance of the Cholesky factorization in interior point methods on Pentium 4 processors (2005)
  20. Sun, Jun; Michaleris, Pan; Gupta, Anshul; Raghavan, Padma: A fast implementation of the FETI-DP method: FETI-DP-RBS-LNA and applications on large scale problems with localized non-linearities (2005)