Skip to main content
Ctrl+K
cuSOLVERDx - Home cuSOLVERDx - Home

cuSOLVERDx

cuSOLVERDx - Home cuSOLVERDx - Home

cuSOLVERDx

Table of Contents

  • Documentation Home

Getting Started

  • Requirements
  • Installation
  • Functionality
    • Cholesky POTRF
    • Cholesky POTRS
    • Cholesky POSV
    • LU GETRF
    • LU GETRS
    • LU GESV
    • QR GEQRF
    • QR UNMQR
    • LQ GELQF
    • LQ UNMLQ
    • Least Squares GELS
    • Triangular Solve TRSM
  • Using cuSolverDx
  • Achieving High Performance

API Reference

  • Operators
    • Description Operators
    • Execution Operators
  • Traits
    • Description Traits
    • Execution Traits
    • Other Traits
  • Execution Methods
  • Other Methods
  • Shared Memory Management

Python

  • Python Bindings

Examples

  • Examples List
    • Introduction Example
    • Cholesky Examples
    • LU Examples
    • QR and GELS Examples
    • NVRTC Examples
    • Performance Examples
    • Advanced Examples

References

  • Release notes
  • GitHub Samples
  • License

MathDx

  • cuSolverDx
  • cuBLASDx
  • cuFFTDx
  • cuRANDDx
  • nvCOMPDx
  • Operators

Operators#

Operators are used to describe the properties and to configure the execution of the problem to be solved. They are divided into description operators and execution operators.

  • Description Operators
    • Size Operator
    • Type Operator
    • Precision Operator
    • Arrangement Operator
    • TransposeMode Operator
    • Side Operator
    • Diag Operator
    • FillMode Operator
    • BatchesPerBlock Operator
    • LeadingDimension Operator
    • Function Operator
    • SM Operator
  • Execution Operators
    • Block Operator
    • Block Configuration Operators
      • BlockDim Operator

previous

Achieving High Performance

next

Description Operators

NVIDIA NVIDIA
Privacy Policy | Manage My Privacy | Do Not Sell or Share My Data | Terms of Service | Accessibility | Corporate Policies | Product Security | Contact

Copyright © 2024-2025, NVIDIA Corporation & Affiliates. All rights reserved.