Solutions
Products
Company
Solutions
Products
Company
Solutions
Products
Company
Solutions
Products
Company
Solutions
Products
Company
Xilinx is now a part of
AMD
|
Learn More
Vitis Solver Library
2022.1
Overview
Library Overview
Vitis Solver Library Tutorial
Release Note
User Guide
L1 Module User Guide
L2 Module User Guide
Supported Numerical Methods
Matrix Decomposition
Singular Value Decomposition for symmetric matrix (GESVDJ)
Singular Value Decomposition for general matrix (GESVJ)
General QR Decomposition (GEQRF)
Lower-Upper Decomposition (GETRF)
Lower-Upper Decomposition (GETRF_NOPIVOT)
Cholesky Decomposition for SPD matrix (POTRF)
Linear Solver
Triangular Solver (GTSV)
Symmetric Linear Solver (POLINEARSOLVER)
Symmetric Matrix Inverse (POMATRIXINVERSE)
General Linear Solver (GELINEARSOLVER)
General Matrix Inverse (GEMATRIXINVERSE)
Triangular Solver with multiple right-hand sides (TRTRS)
Eigenvalue Solver
Eigenvalue Solver (SYEVJ)
Level II APIs
Benchmark
Benchmark
Vitis Solver Library
»
L2 Module User Guide
»
Matrix Decomposition
Matrix Decomposition
¶
Singular Value Decomposition for symmetric matrix (GESVDJ)
Singular Value Decomposition for general matrix (GESVJ)
General QR Decomposition (GEQRF)
Lower-Upper Decomposition (GETRF)
Lower-Upper Decomposition (GETRF_NOPIVOT)
Cholesky Decomposition for SPD matrix (POTRF)
Linear Solver
¶
Triangular Solver (GTSV)
Symmetric Linear Solver (POLINEARSOLVER)
Symmetric Matrix Inverse (POMATRIXINVERSE)
General Linear Solver (GELINEARSOLVER)
General Matrix Inverse (GEMATRIXINVERSE)
Triangular Solver with multiple right-hand sides (TRTRS)
Eigenvalue Solver
¶
Eigenvalue Solver (SYEVJ)
Last updated on April 20, 2022.