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ARPACK
CUDA 6 and Beyond
Chapter 11
LARGE-SCALE COMPUTATION of PSEUDOSPECTRA USING ARPACK and EIGS∗ 1. Introduction. the Matrices in Many Eigenvalue Problems
A High Performance Implementation of Spectral Clustering on CPU-GPU Platforms
A High Performance Block Eigensolver for Nuclear Configuration Interaction Calculations Hasan Metin Aktulga, Md
Slepc Users Manual Scalable Library for Eigenvalue Problem Computations
Comparison of Numerical Methods and Open-Source Libraries for Eigenvalue Analysis of Large-Scale Power Systems
Solving Applied Graph Theory Problems in the Juliagraphs Ecosystem
Eigenvalues and Eigenvectors for 3×3 Symmetric Matrices: an Analytical Approach
Geeng Started with Trilinos
Arxiv:1805.03380V3 [Cs.MS] 21 Oct 2019 a Specific Set of Operations (Eg., Matrix Multiplication Vs
Augmented Block Householder Arnoldi Method
Scipy 1.0—Fundamental Algorithms for Scientific Computing in Python
Libraries Compilers
Software Link Description Dex.Php/P
A Python-Based Software Tool for Power System Analysis Federico Milano, Senior Member, IEEE
Introduction to Parallel Programming (For Physicists) FRANÇOIS GÉLIS & GRÉGOIRE MISGUICH, Ipht Courses, June 2019
Scientific Computing WS 2020/2021 Lecture 1 Jürgen Fuhrmann
Top View
An Overview of Trilinos: Packages for Parallel Formulation and Solution of Scientific and Engineering Problems Michael A
Computational Physics1
EIGIFP: a MATLAB Program for Solving Large Symmetric Generalized Eigenvalue Problems
Présentation Powerpoint
Computational Techniques for Solving the Sparse Matrix Eigenvalue Problem for Semiconductor Bandstructure Calculation
A User-Friendly Hybrid Sparse Matrix Class in C++
Heat – a Distributed and GPU-Accelerated Tensor Framework for Data Analytics
Introduction to Sparse Matrices in Scilab
Trace-Penalty Minimization for Large-Scale Eigenspace Computation
Practical Sparse Matrices in C++ with Hybrid Storage and Template-Based Expression Optimisation
Efficient Gram-Schmidt Orthogonalization with CUDA for Iterative Eigensolvers
Compiler Optimization and Libraries
Arxiv:1802.05215V1 [Math.NA] 14 Feb 2018 3 Sets of 76,608 Orbitals Handled in Parallel, a Perfect Example of Spectrum Slicing
Towards an Exascale Enabled Sparse Solver Repository
Introduction to Scientific Computing in Python
J. Parallel Distrib. Comput. Designing an Efficient Parallel Spectral
Fast Computation of the Principal Components of Genotype Matrices in Julia ∗
Nanohub Environments Available Aug 12, 2018
Irbl: an Implicitly Restarted Block-Lanczos Method for Large-Scale Hermitian Eigenproblems∗
Trilinos Tutorial
R5.01.01 Révision : Efa82620e646
LAPACK Working Note 139 a Numerical Linear Algebra Problem
Introduction
Python: an Ecosystem for Scientific Computing
A Survey of Software for Sparse Eigenvalue Problems
Numerical Methods for Large Eigenvalue Problems
Practical Sparse Matrices in C++ with Hybrid Storage and Template-Based Expression Optimisation †
Numerical Methods in Quantum Mechanics
A Comparison of Eigensolvers for Large-Scale 3D Modal Analysis Using AMG-Preconditioned Iterative Methods
Trilinos Packages Trilinos Is a Collection of Packages
Trace-Penalty Minimization for Large-Scale Eigenspace Computation
Trilinos Tutorial
Solving Large Top-K Graph Eigenproblems with a Memory and Compute-Optimized FPGA Design