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LOBPCG
Accelerating the LOBPCG Method on Gpus Using a Blocked Sparse Matrix Vector Product
Solving Symmetric Semi-Definite (Ill-Conditioned)
On the Performance and Energy Efficiency of Sparse Linear Algebra on Gpus
High Efficiency Spectral Analysis and BLAS-3
A High Performance Block Eigensolver for Nuclear Configuration Interaction Calculations Hasan Metin Aktulga, Md
Computing Singular Values of Large Matrices with an Inverse-Free Preconditioned Krylov Subspace Method∗
Recent Implementations, Applications, and Extensions of The
Block Locally Optimal Preconditioned Eigenvalue Xolvers BLOPEX
Robust and Efficient Computation of Eigenvectors in a Generalized
Limited Memory Block Krylov Subspace Optimization for Computing Dominant Singular Value Decompositions
High-Performance SVD for Big Data
Locally Optimal Block Preconditioned Conjugate Gradient Method for Hierarchical Matrices
Lawrence Berkeley National Laboratory Recent Work
Implementation of a Preconditioned Eigensolver Using Hypre
PRIMME SVDS: a High-Performance Preconditioned SVD Solver For
LOBPCG Ÿ Minimization of Rayleigh Quotient Ÿ Fixed Subspace Size Ÿ Conjugate Gradient Algorithm
Generalized Davidson and Multidirectional-Type Methods for the Generalized Singular Value Decomposition*
Preconditioned Spectral Clustering for Stochastic Block Partition Streaming Graph Challenge
Top View
Preconditioned Eigensolver LOBPCG in Hypre and Petsc
Trace-Penalty Minimization for Large-Scale Eigenspace Computation
A Robust and Efficient Implementation of LOBPCG
A Comparison of Factorization-Free Eigensolvers with Application to Cavity Resonators
Enhancing Scalability of a Matrix-Free Eigensolver for Studying Many-Body Localization
An Indefinite Variant of LOBPCG for Definite Matrix Pencils
Evaluation of Directive-Based GPU Programming Models on a Block Eigensolver with Consideration of Large Sparse Matrices
Single and Dual-Gpu Generalized Sparse Eigenvalue Solvers
Latest and Previous General Andbeta Distributions As Well As Documentation
Block Locally Optimal Preconditioned Eigenvalue Xolvers (BLOPEX)
Efficient Sparse Matrix-Vector Multiplication on CUDA
A Survey of Software for Sparse Eigenvalue Problems
Accelerating Nuclear Configuration Interaction Calculations Through a Preconditioned Block Iterative Eigensolver
Fast Eigenpairs Computation with Operator Adapted Wavelets and Hierarchical Subspace Correction | SIAM Journal on Numerical Anal
A Comparison of Eigensolvers for Large-Scale 3D Modal Analysis Using AMG-Preconditioned Iterative Methods
Lecture Notes on Solving Large Scale Eigenvalue Problems
High Efficiency Spectral Analysis and BLAS-3 Randomized QRCP With
Trace-Penalty Minimization for Large-Scale Eigenspace Computation
State-Of-The-Art Eigensolvers for Electronic Structure Calculations of Large Scale Nano-Systems Q