Batched Computation of the Singular Value Decompositions of Order Two by the AVX-512 Vectorization
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Publication:5087080
DOI10.1142/S0129626420500152zbMath1490.65063arXiv2005.07403OpenAlexW3118611730MaRDI QIDQ5087080
Publication date: 8 July 2022
Published in: Parallel Processing Letters (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2005.07403
Numerical computation of eigenvalues and eigenvectors of matrices (65F15) Parallel numerical computation (65Y05) Numerical algorithms for specific classes of architectures (65Y10)
Related Items (2)
A Kogbetliantz-type algorithm for the hyperbolic SVD ⋮ Vectorization of a Thread-Parallel Jacobi Singular Value Decomposition Method
Uses Software
Cites Work
- On high relative accuracy of the Kogbetliantz method
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- Globally convergent Jacobi methods for positive definite matrix pairs
- Full block \(J\)-Jacobi method for Hermitian matrices
- Solution of linear equations by diagonalization of coefficients matrix
- LAPACK Users' Guide
- Implementation of Jacobi Rotations for Accurate Singular Value Computation in Floating Point Arithmetic
- The LAPW Method with Eigendecomposition Based on the Hari--Zimmermann Generalized Hyperbolic SVD
- On the Global Convergence of the Complex HZ Method
- Asymptotic Quadratic Convergence of the Two-Sided Serial and Parallel Block-Jacobi SVD Algorithm
- Dynamic ordering for a parallel block-Jacobi SVD algorithm
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