Application of a GPU-accelerated hybrid preconditioned conjugate gradient approach for large 3D problems in computational geomechanics
type: Item
instance of: scholarly article
title: Application of a GPU-accelerated hybrid preconditioned conjugate gradient approach for large 3D problems in computational geomechanics
zbMATH Open document ID: 1443.65045
author: Omid Kardani
author: Kristian Krabbenhoft
author: A. V. Lyamin
publication date: 2020-10-08T00:00:00Z
Mathematics Subject Classification ID: 65F10
Mathematics Subject Classification ID: 65F08
Mathematics Subject Classification ID: 65K05
Mathematics Subject Classification ID: 65K10
Mathematics Subject Classification ID: 65Y10
Mathematics Subject Classification ID: 86-08
zbMATH DE Number: 7258242
zbMATH Keywords: approximate inverse preconditioner
zbMATH Keywords: incomplete Cholesky factorization
zbMATH Keywords: limit analysis
zbMATH Keywords: preconditioned conjugate gradient method
zbMATH Keywords: cone programming
zbMATH Keywords: graphic processing unit
MaRDI profile type: Publication
full work available at URL: j.camwa.2015.03.003
OpenAlex ID: W2090118329
cites work: Q4125868
cites work: Upper bound limit analysis using finite elements and linear programming
cites work: Computational Cam clay plasticity using second-order cone programming
cites work: Formulation and solution of some plasticity problems as conic programs
cites work: On implementing a primal-dual interior-point method for conic quadratic optimization
cites work: Q5691079
cites work: Q6162257
cites work: Three‐dimensional Mohr–Coulomb limit analysis using semidefinite programming
cites work: Feature Article—Interior Point Methods for Linear Programming: Computational State of the Art
cites work: On the Implementation of a Primal-Dual Interior Point Method
cites work: Multiple centrality corrections in a primal-dual method for linear programming
cites work: Parallel iterative methods for sparse linear systems
cites work: Preconditioning techniques for large linear systems: A survey
cites work: A new class of preconditioners for large-scale linear systems from interior point methods for linear programming
cites work: Using a hybrid preconditioner for solving large-scale linear systems arising from interior point methods
cites work: Improving an interior-point approach for large block-angular problems by hybrid preconditioners
cites work: Q3491304
cites work: Q4324980
cites work: A comparative study of sparse approximate inverse preconditioners
cites work: Robust approximate inverse preconditioning for the conjugate gradient method
cites work: A factored approximate inverse preconditioner with pivoting
cites work: Q4795529
cites work: Factorized sparse approximate inverses for preconditioning
cites work: Q4814579
cites work: A Sparse Approximate Inverse Preconditioner for Nonsymmetric Linear Systems
cites work: Matrix Preconditioning Techniques and Applications
cites work: An Iterative Solution Method for Linear Systems of Which the Coefficient Matrix is a Symmetric M-Matrix
cites work: A new preconditioning technique for solving large sparse linear systems
cites work: Interior-point solver for large-scale quadratic programming problems with bound constraints
cites work: On the iterative solution of KKT systems in potential reduction software for large-scale quadratic problems
DOI: 10.1016/J.CAMWA.2015.03.003
published in: Computers & Mathematics with Applications
description: scientific article; zbMATH DE number 7258242