An efficient sparse matrix-vector multiplication on CUDA-enabled graphic processing units for finite element method simulations-Reference-Cited by-同舟云学术

An efficient sparse matrix-vector multiplication on CUDA-enabled graphic processing units for finite element method simulations

Published:2016-09-22 Issue:1 Volume:110 Page:57-78
ISSN:0029-5981
Container-title:International Journal for Numerical Methods in Engineering
language:en
Short-container-title:Int. J. Numer. Meth. Engng

Author:

Altinkaynak Atakan¹

Affiliation:

1. Mechanical Engineering Department; Istanbul Technical University; Inonu Cad. No: 65 Gumussuyu 34437 Istanbul Turkey

Funder

Istanbul Teknik Üniversitesi

Publisher

Wiley

Subject

Applied Mathematics,General Engineering,Numerical Analysis

Reference39 articles.

1. Hall JD Carr NA Hart JC Cache bandwidth aware matrix multiplication on the GPU Technical Report UIUCDCSR-2003-2328 2003

2. Galoppo N Govindaraju NK Henson M Manocha D LU-GPU Efficient algorithms for solving dense linear systems on graphics hardware Proceedings of the 2005 ACM/IEEE Conference on Supercomputing 2005 3

3. NVIDIA Corporation CUDA C Programming Guide 2014 http://docs.nvidia.com/cuda/cuda-c-programming-guide/

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