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February 19, 2026Russian Journal of Numerical Analysis and Mathematical Modelling0 citations

Reaching the scalability of a distributed AMG solver

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IKIgor KonshinKTKirill M. Terekhov

Key Points

  • This research aims to enhance the scalability of the algebraic multigrid method for solving linear algebraic systems.
  • Developed a distributed parallel version of the algebraic multigrid method.
  • Implemented strategies to improve scalability on thousands of processor cores.
  • Compared performance against open-source packages like HYPRE BoomerAMG and PETSc GAMG.
  • Explored variants of multigrid cycles for efficiency in larger systems.
  • Achieved good scalability on thousands of cores.
  • Outperformed existing open-source implementations in several test cases.
  • Reduced the number of processors needed for coarse systems without affecting performance.

Abstract

Abstract In this paper, a distributed parallel version of algebraic multigrid method is proposed for linear algebraic systems arising from discretization of systems of scalar elliptic equations. The implementation demonstrates good scalability on thousands of cores and surpasses the open source packages HYPRE BoomerAMG and PETSc GAMG in performance on a number of systems. Effective scalable implementations of algorithms in the setup stage of the algebraic multigrid method are considered. The possibility of reducing the number of processors in communicator for coarse systems has been implemented. Variants of cycles of the multigrid method are considered, which make it possible to obtain independence of the number of iterations as the system size increases without losing the scalability of the method. These developments form the basis for further extension of the method for multiphysical problems.

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Cite This Study

Konshin et al. (2026) studied this question.

synapsesocial.com/papers/6996a8e3ecb39a600b3f010ehttps://doi.org/10.1515/rnam-2026-0004
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