Pushing memory bandwidth limitations through efficient implementations of Block-Krylov space solvers on GPUs-Reference-Cited by-同舟云学术

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Pushing memory bandwidth limitations through efficient implementations of Block-Krylov space solvers on GPUs

Published:2018-12 Issue: Volume:233 Page:29-40
ISSN:0010-4655
Container-title:Computer Physics Communications
language:en
Short-container-title:Computer Physics Communications

Author:

Clark M.A.,Strelchenko Alexei,Vaquero Alejandro^ORCID,Wagner Mathias,Weinberg Evan

Funder

U.S. Department of Energy, Office of Science, Office of High Energy Physics

U.S. National Science Foundation

Exascale Computing Project

U.S. Department of Energy Office of Science

National Nuclear Security Administration

ORNL

Publisher

Elsevier BV

Subject

General Physics and Astronomy,Hardware and Architecture

Reference50 articles.

1. Variable Block CG Algorithms for Solving Large Sparse Symmetric Positive Definite Linear Systems on Parallel Computers, I: General Iterative Scheme

2. Solving lattice QCD systems of equations using mixed precision solvers on GPUs

3. Multiple right-hand side techniques for the numerical simulation of quasistatic electric and magnetic fields

4. A review of block Krylov subspace methods for multisource electromagnetic modelling

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2. A Mixed Precision, Multi-GPU Design for Large-scale Top-K Sparse Eigenproblems;2022 IEEE International Symposium on Circuits and Systems (ISCAS);2022-05-28

3. Impact of Reduced and Mixed-Precision on the Efficiency of a Multi-GPU Platform on CFD Applications;Computational Science and Its Applications – ICCSA 2022 Workshops;2022

4. A Comparative Study of Block Incomplete Sparse Approximate Inverses Preconditioning on Tesla K20 and V100 GPUs;Algorithms;2021-06-30

5. XAMG: A library for solving linear systems with multiple right-hand side vectors;SoftwareX;2021-06

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