Pipelined Iterative Solvers with Kernel Fusion for Graphics Processing Units
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Publication:5270772
DOI10.1145/2907944zbMath1369.65055arXiv1410.4054OpenAlexW2111389017WikidataQ113310183 ScholiaQ113310183MaRDI QIDQ5270772
T. Grasser, Karl Rupp, Ansgar Jüngel, Josef Weinbub
Publication date: 30 June 2017
Published in: ACM Transactions on Mathematical Software (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1410.4054
Iterative numerical methods for linear systems (65F10) Packaged methods for numerical algorithms (65Y15) Numerical algorithms for specific classes of architectures (65Y10)
Related Items (4)
GPU-based matrix-free finite element solver exploiting symmetry of elemental matrices ⋮ Pipelined, Flexible Krylov Subspace Methods ⋮ Revisiting performance of biCGStab methods for solving systems with multiple right-hand sides ⋮ ViennaCL---Linear Algebra Library for Multi- and Many-Core Architectures
Uses Software
Cites Work
- s-step iterative methods for symmetric linear systems
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- GMRES: A Generalized Minimal Residual Algorithm for Solving Nonsymmetric Linear Systems
- Practical Use of Polynomial Preconditionings for the Conjugate Gradient Method
- Bi-CGSTAB: A Fast and Smoothly Converging Variant of Bi-CG for the Solution of Nonsymmetric Linear Systems
- A simpler GMRES
- Hiding Global Communication Latency in the GMRES Algorithm on Massively Parallel Machines
- Methods of conjugate gradients for solving linear systems
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