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s-Step Krylov Subspace Methods as Bottom Solvers for Geometric Multigrid

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/nla.1808openalex-snapshot
Improving the arithmetic intensity of multigrid with the help of polynomial smoothers
inferredcites →https://doi.org/10.1006/jcss.1997.1473openalex-snapshot
Efficient Out-of-Core Algorithms for Linear Relaxation Using Blocking Covers
inferredcites →https://doi.org/10.1007/978-3-642-33078-0_31openalex-snapshot
The Impact of Global Communication Latency at Extreme Scales on Krylov Methods
inferredcites →https://doi.org/10.1016/0168-9274(95)00079-aopenalex-snapshot
Reducing the effect of global communication in GMRES(m) and CG on parallel distributed memory computers
inferredcites →https://doi.org/10.1016/0377-0427(89)90045-9openalex-snapshot
s-step iterative methods for symmetric linear systems
inferredcites →https://doi.org/10.1016/j.apnum.2010.12.009openalex-snapshot
On the generation of Krylov subspace bases
inferredcites →https://doi.org/10.1016/j.parco.2007.04.004openalex-snapshot
Parallel Arnoldi eigensolvers with enhanced scalability via global communications rearrangement
inferredcites →https://doi.org/10.1016/j.parco.2013.06.001openalex-snapshot
Hiding global synchronization latency in the preconditioned Conjugate Gradient algorithm
inferredcites →https://doi.org/10.1080/00207169208804107openalex-snapshot
Parallelizable restarted iterative methods for nonsymmetric linear systems. part I: Theory
inferredcites →https://doi.org/10.1088/0004-637x/765/1/39openalex-snapshot
Nyx: A MASSIVELY PARALLEL AMR CODE FOR COMPUTATIONAL COSMOLOGY
inferredcites →https://doi.org/10.1093/imanum/14.4.563openalex-snapshot
A Newton basis GMRES implementation
inferredcites →https://doi.org/10.1109/apdc.1997.574029openalex-snapshot
Solving sparse least squares problems on massively distributed memory computers
inferredcites →https://doi.org/10.1109/sc.2012.85openalex-snapshot
Optimization of geometric multigrid for emerging multi- and manycore processors
inferredcites →https://doi.org/10.1109/sfcs.1993.366817openalex-snapshot
Efficient out-of-core algorithms for linear relaxation using blocking covers
inferredcites →https://doi.org/10.1137/0909010openalex-snapshot
Implementation of the GMRES Method Using Householder Transformations
inferredcites →https://doi.org/10.1137/1.9780898718003openalex-snapshot
Iterative Methods for Sparse Linear Systems
inferredcites →https://doi.org/10.1137/12086563xopenalex-snapshot
Hiding Global Communication Latency in the GMRES Algorithm on Massively Parallel Machines
inferredcites →https://doi.org/10.1137/120881191openalex-snapshot
Avoiding Communication in Nonsymmetric Lanczos-Based Krylov Subspace Methods
inferredcites →https://doi.org/10.1145/1089014.1089019openalex-snapshot
SLEPc
inferredcites →https://doi.org/10.5555/2388996.2389126openalex-snapshot
Optimization of geometric multigrid for emerging multi- and manycore processors

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/nla.2407openalex-snapshot
Block low‐rank single precision coarse grid solvers for extreme scale multigrid methods
inferred← citeshttps://doi.org/10.1007/978-3-319-40528-5_21openalex-snapshot
Automated Performance Modeling of the UG4 Simulation Framework
inferred← citeshttps://doi.org/10.1007/978-3-319-47066-5_45openalex-snapshot
A Massively Parallel Multigrid Method with Level Dependent Smoothers for Problems with High Anisotropies
inferred← citeshttps://doi.org/10.1007/978-3-662-48096-0_40openalex-snapshot
10,000 Performance Models per Minute – Scalability of the UG4 Simulation Framework
inferred← citeshttps://doi.org/10.1016/j.jocs.2016.06.006openalex-snapshot
A quantitative performance study for Stokes solvers at the extreme scale
inferred← citeshttps://doi.org/10.1017/s0962492914000038openalex-snapshot
Communication lower bounds and optimal algorithms for numerical linear algebra
inferred← citeshttps://doi.org/10.1080/13647830.2022.2142673openalex-snapshot
PeleLM-FDF large eddy simulator of turbulent reacting flows
inferred← citeshttps://doi.org/10.1109/ipdpsw.2018.00170openalex-snapshot
Algebraic Multigrid Solver Using Coarse Grid Aggregation with Independent Aggregation
inferred← citeshttps://doi.org/10.1109/sc.2016.67openalex-snapshot
Accelerating Lattice QCD Multigrid on GPUs Using Fine-Grained Parallelization
inferred← citeshttps://doi.org/10.1145/3539781.3539785openalex-snapshot
Reducing communication in the conjugate gradient method
inferred← citeshttps://doi.org/10.1145/3712031.3712034openalex-snapshot
Scalable Dual Coordinate Descent for Kernel Methods
inferred← citeshttps://doi.org/10.1145/3721145.3725764openalex-snapshot
CRAMG: A Communication-Reduced Algebraic Multigrid Method
inferred← citeshttps://doi.org/10.15748/jasse.7.117openalex-snapshot
Parallel 3d shape optimization for cellular composites on large distributed-memory clusters
inferred← citeshttps://doi.org/10.21136/am.2020.0136-19openalex-snapshot
An adaptive $s$-step conjugate gradient algorithm with dynamic basis updating
inferred← citeshttps://doi.org/10.21236/ada624905openalex-snapshot
Avoiding Communication in the Lanczos Bidiagonalization Routine and Associated Least Squares QR Solver
inferred← citeshttps://doi.org/10.23919/aces48530.2019.9060447openalex-snapshot
Parallel SDDM with Communication-Avoiding BICGSTAB for Large-Scale 3D Scattering Problems
inferred← citeshttps://doi.org/10.26599/tst.2019.9010057openalex-snapshot
Helmholtz solving and performance optimization in global/regional assimilation and prediction system
inferred← citeshttps://doi.org/10.48550/arxiv.1701.03989openalex-snapshot
The Adaptive $s$-step Conjugate Gradient Method
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