Deprecated: $wgMWOAuthSharedUserIDs=false is deprecated, set $wgMWOAuthSharedUserIDs=true, $wgMWOAuthSharedUserSource='local' instead [Called from MediaWiki\HookContainer\HookContainer::run in /var/www/html/w/includes/HookContainer/HookContainer.php at line 135] in /var/www/html/w/includes/Debug/MWDebug.php on line 372
A Unified Sparse Matrix Data Format for Efficient General Sparse Matrix-Vector Multiplication on Modern Processors with Wide SIMD Units - MaRDI portal

A Unified Sparse Matrix Data Format for Efficient General Sparse Matrix-Vector Multiplication on Modern Processors with Wide SIMD Units

From MaRDI portal
Publication:2940025

DOI10.1137/130930352zbMath1307.65055arXiv1307.6209OpenAlexW2101511474MaRDI QIDQ2940025

Moritz Kreutzer, A. R. Bishop, Georg Hager, Gerhard Wellein, Holger Fehske

Publication date: 23 January 2015

Published in: SIAM Journal on Scientific Computing (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1307.6209




Related Items

GPU-accelerated preconditioned GMRES method for two-dimensional Maxwell's equationsA Task-Scheduling Approach for Efficient Sparse Symmetric Matrix-Vector Multiplication on a GPUIncreasing the Performance of the Jacobi--Davidson Method by BlockingA Factored Sparse Approximate Inverse Preconditioned Conjugate Gradient Solver on Graphics Processing UnitsOptimal strategy for modelling turbulent flows with ensemble averaging on high performance computing systemsA two-scale approach for efficient on-the-fly operator assembly in massively parallel high performance multigrid codesA new sparse matrix vector multiplication graphics processing unit algorithm designed for finite element problemsAlgebraic Multigrid Using a Stencil–CSR Hybrid Format on GPUsDevelopment of an unstructured mesh gyrokinetic particle-in-cell code for exascale fusion plasma simulations on GPUsEstimating the effect of indices compression in the CSR-like data storage formats for matrix-vector multiplications and solving linear systemsThe \textsc{Dune} framework: basic concepts and recent developmentsStrategies for the Vectorized Block Conjugate Gradients MethodGPGPU-based parallel computing applied in the FEM using the conjugate gradient algorithm: a reviewEfficient CSR-based sparse matrix-vector multiplication on GPUA novel CSR-based sparse matrix-vector multiplication on GPUsSELL_C_sigmaViennaCL---Linear Algebra Library for Multi- and Many-Core ArchitecturesBenefits from using mixed precision computations in the ELPA-AEO and ESSEX-II eigensolver projectsPipelined Iterative Solvers with Kernel Fusion for Graphics Processing Units


Uses Software