README.md

cuDSS Library

Description

This folder demonstrates main cuDSS APIs usage.

Note: samples are updated to work with the latest version of cuDSS available (currently: 0.5.0) and might be imcompatible with older versions. For further details, please check the release notes in the official documentation.

cuDSS Documentation

cuDSS Samples

• Simple workflow for solving a real-valued sparse linear system

  The sample demonstrates how to use cuDSS for solving a real sparse linear system without any advanced features

• Simple workflow for solving a complex-valued sparse linear system

  The sample demonstrates how to use cuDSS for solving a complex sparse linear system without any advanced features

• Hybrid host/device memory mode

  The sample demonstrates how to use cuDSS for solving a real sparse linear system using the hybrid host/device memory mode

• Multi-gpu multi-node (MGMN) mode

  The sample demonstrates how to use cuDSS for solving a real sparse linear system using the multi-GPU multi-node mode (available since cudss 0.3.0)

  Note: building MGMN mode samples require extra options for the communication backend at build and runtime, and must be run with mpirun

• Getter/setter APIs for cudssConfig, cudssData and cudssHandle objects

  The sample extends the previous code to demonstrate how extra settings can be applied to solving sparse linear systems and how to retrieve extra information from the solver

• Device memory handler APIs for cudssDeviceMemHandler_t defined device memory pools or allocators

  The sample demonstrates how to use cuDSS device memory handler APIs (available since cudss 0.2.0) for providing user-defined device memory pools or allocators

• Non-uniform batch API

  The sample demonstrates how to use cuDSS batch APIs (available since cudss 0.4.0) for solving a non-uniform batch of linear systems where matrices and righthand sides can all be different

• Hybrid execution mode

  The sample demonstrates how to use cuDSS for solving a real sparse linear system using the hybrid execution mode (available since cudss 0.5.0)

• Multi-threaded (MT) mode

  The sample demonstrates how to use cuDSS for solving a real sparse linear system using the multithreading (MT) mode (available since cudss 0.5.0)