GPGPU-based parallel computing applied in the FEM using the conjugate gradient algorithm: a review
type: Item
instance of: scholarly article
title: GPGPU-based parallel computing applied in the FEM using the conjugate gradient algorithm: a review
zbMATH Open document ID: 1397.65337
author: Nileshchandra K. Pikle
author: Shailesh R. Sathe
author: Arvind Y. Vyavhare
published in: Sādhanā
publication date: 2018-10-10T00:00:00Z
full work available at URL: https://www.ias.ac.in/describe/article/sadh/043/07/0111
Mathematics Subject Classification ID: 65Y05
Mathematics Subject Classification ID: 65N30
Mathematics Subject Classification ID: 65M60
Mathematics Subject Classification ID: 65-02
zbMATH DE Number: 6949898
zbMATH Keywords: finite-element method (FEM)
zbMATH Keywords: conjugate gradient (CG)
zbMATH Keywords: sparse matrix-vector multiplication (SpMV)
zbMATH Keywords: assembly-free FEM (AF-FEM)
zbMATH Keywords: graphics processing units (GPUs)
zbMATH Keywords: compute unified device architecture (CUDA)
zbMATH Keywords: parallel computing
describes a project that uses: CUSPARSE
describes a project that uses: FEniCS
describes a project that uses: CUBLAS
describes a project that uses: CUDA
describes a project that uses: SyFi
describes a project that uses: ITER-REF
describes a project that uses: COFFEE
describes a project that uses: MKL
describes a project that uses: OpenCL
describes a project that uses: SELL_C_sigma
MaRDI profile type: Publication
OpenAlex ID: W2808764408
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DOI: 10.1007/S12046-018-0892-0
description: scientific article; zbMATH DE number 6949898