_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
pastix-mkl 6.4.0
Dependencies: gfortran@14.3.0 hwloc@2.12.2 starpu@1.4.12 scotch@7.0.7 intel-oneapi-mkl@2023.2.0 openmpi@4.1.6 python@3.11.14 python-numpy@1.26.4
Channel: guix-science-nonfree
Location: guix-science-nonfree/packages/algebra.scm (guix-science-nonfree packages algebra)
Home page: https://gitlab.inria.fr/solverstack/pastix
Licenses: CeCILL
Build system: cmake
Synopsis: Sparse matrix direct solver (MKL variant)
Description:

PaStiX (Parallel Sparse matriX package) is a scientific library that provides a high performance parallel solver for very large sparse linear systems based on direct methods. Numerical algorithms are implemented in single or double precision (real or complex) using LLt, LDLt and LU with static pivoting (for non symmetric matrices having a symmetric pattern). This solver also provides some low-rank compression methods to reduce the memory footprint and/or the time-to-solution. This variant uses the Intel Math Kernel Library (MKL) as a BLAS/LAPACK implementation.

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