PCG

PCG: A software package for the iterative solution of linear systems on scalar, vector and parallel computers. The PCG package is a software system for solving systems of linear equations by means of preconditioned conjugate gradient (PCG)-type iterative methods on a variety of computer architectures. The software is designed to give high performance with a nearly identical user interface across different scalar, vector and parallel platforms, as well as across different programming models, such as shared-memory, data-parallel and message-passing programming interfaces. The basic features of the package are discussed, as well as techniques used to attain portability and high performance. Representative results for several computers are given

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References in zbMATH (referenced in 7 articles )

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  1. Krumov, Assen V.: Model of time-varying linear systems and Kolmogorov equations (2015)
  2. Challis, Vivien J.; Guest, James K.: Level set topology optimization of fluids in Stokes flow (2009)
  3. Berndt, Markus; Moulton, J. David; Hansen, Glen: Efficient nonlinear solvers for Laplace-Beltrami smoothing of three-dimensional unstructured grids (2008)
  4. Bose, A.; Carey, G. F.: A class of data structures and object-oriented implementation for finite element methods on distributed memory systems (1999)
  5. Carey, G. F.; Shen, Y.; McLay, R. T.: Parallel conjugate gradient performance for least-squares finite elements and transport problems (1998)
  6. Dongarra, Jack J. (ed.); Kennedy, Ken (ed.); Messina, Paul (ed.); Sorensen, Danny C. (ed.); Voigt, Robert G. (ed.): Proceedings of the fifth SIAM conference on parallel processing for scientific computing, held in Houston, TX, USA, March 25-27, 1991 (1992)
  7. Joubert, Wayne; Highnam, Peter; Carey, Graham: PCG/CM: A package for the iterative solution of large sparse linear systems on the connection machine (1992)