Vitis Solver Library

Vitis Solver Library provides a collection of matrix decomposition operations, linear solvers and eigenvalue solvers.

Currently this includes the following operations for dense matrix

• Matrix decomposition
  • Cholesky decomposition for symmetric positive definite matrix
  • LU decomposition without pivoting and with partial pivoting
  • QR decomposition for general matrix
  • SVD decomposition (single value decomposition) for symmetric matrix and non-symmetric matrix (Jacobi method)
• Linear solver
  • Tridiagonal linear solver (Parallel cyclic reduction method)
  • Linear solver for triangular matrix
  • Linear solver for symmetric and non-symmetric matrix
  • Matrix inverse for symmetric and non-symmetric matrix
• Eigenvalue solver
  • Jacobi eigenvalue solver for symmetric matrix

Overview

• Library Overview
  • Requirements
  • License
  • Trademark Notice

User Guide

• L1 Module User Guide
  • APIs
  • Core Utility
• L2 Module User Guide
  • Supported Numerical Methods
  • Level II APIs

Benchmark

• Benchmark
  • Datasets
  • Performance
  • Test Overview