This folder demonstrates main cuDSS APIs usage.

Note: samples are updated to work with the latest version of cuDSS available (currently: 0.7.0) and might be incompatible with older versions. For further details, please check the release notes in the official documentation.

cuDSS Documentation

• 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 execute 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)

• Sparse matrix interactions

  The sample demonstrates how to interact with sparse matrices in cuDSS

• Dense matrix interactions

  The sample demonstrates how to interact with dense matrices in cuDSS

• Batch matrix interactions

  The sample demonstrates how to interact with batched systems in cuDSS (available since cudss 0.5.0)

• Batch system solving

  The sample demonstrates how to use cuDSS for solving a uniform batched system (available since cudss 0.6.0)

• Extracting reordering information

  The sample demonstrates how to use cuDSS to extract the reordering information it uses internally immediately after it is generated (available since cudss 0.6.0)

• Multi-gpu multi-node (MGMN) mode with a distributed matrix

  The sample demonstrates how to use cuDSS for solving a real sparse linear system using the multi-GPU multi-node mode with a distributed system matrix (available since cudss 0.6.0)

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

• Multi-gpu single-node (MG) mode

  The sample demonstrates how to use cuDSS for solving a real sparse linear system using the multi-GPU mode (without any distributed communication backend) (available since cudss 0.7.0)

• Schur complement computation

  The sample demonstrates how to use cuDSS for computing the Schur complement matrix (and how it can be used for solving the full system) (available since cudss 0.7.0)

• Residual computation

  The sample demonstrates how one can compute the relative residual norm to estimate accuracy of cuDSS (available since cudss 0.7.0)

• Helper for testing the communication layer library

  The sample demonstrates how one can check functional health of a distributed communication backend and the associated communication layer library of cuDSS (available since cudss 0.7.0)

• Helper for testing the threading layer library

  The sample demonstrates how one can check functional health of a threading backend and the associated threading layer library of cuDSS (available since cudss 0.7.0)