Batched transpose-free ADI-type preconditioners for a Poisson solver on GPGPUs-Reference-Cited by-同舟云学术

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Batched transpose-free ADI-type preconditioners for a Poisson solver on GPGPUs

Published:2020-03 Issue: Volume:137 Page:148-159
ISSN:0743-7315
Container-title:Journal of Parallel and Distributed Computing
language:en
Short-container-title:Journal of Parallel and Distributed Computing

Author:

Arbenz Peter^ORCID,Říha Lubomír

Funder

Swiss National Supercomputing Centre (CSCS), Switzerland

Ministry of Education, Youth and Sports

Large Infrastructures for Research, Experimental Development and Innovations

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software

Reference33 articles.

1. Memory-efficient parallel simulation of electron beam dynamics using GPUs;Arumugam,2016

2. A First Course in Numerical Methods;Ascher,2011

3. Templates for the Solution of Linear Systems: Building Blocks for Iterative Methods;Barrett,1994

4. A guide for implementing tridiagonal solvers on GPUs;Chang,2014

5. A scalable, numerically stable, high-performance tridiagonal solver using GPUs;Chang,2012

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A μ-mode BLAS approach for multidimensional tensor-structured problems;Numerical Algorithms;2022-10-04

2. PaScaL_TDMA: A library of parallel and scalable solvers for massive tridiagonal systems;Computer Physics Communications;2021-03

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