Release Notes

cuTensorNet v1.0.0

• Functionality/performance improvements:

  • Greatly reduced the workspace memory size required.

  • Reduced the execution time of the pathfinder with multithreading and internal optimization.

  • Support for hyperedges in tensor networks.

  • Support for tensor networks described by generalized Einstein summation expressions.

• Add new APIs and functionalities for:

  • Managing workspace (see Workspace Management API for details).

  • Binding a user-provided, stream-ordered memory pool to the library (see Memory Management API for details).

  • Query of the output tensor details (see cutensornetGetOutputTensorDetails()).

  • Set the number of threads for the hyperoptimizer (see Hyper-optimizer for details).

  • Setting a logger callback with user-provided data (see cutensornetLoggerSetCallbackData()).

• API changes:

  • Replaced cutensornetContractionGetWorkspaceSize with cutensornetWorkspaceComputeSizes().

  • cutensornetCreateContractionPlan(), cutensornetContractionAutotune(), and cutensornetContraction() receive a workspace descriptor instead of workspace pointer and size params.

  • Renamed cutensornetGraphAlgo_t and cutensornetMemoryModel_t enumerations’ options.

Compatibility notes:

• cuTensorNet requires CUDA 11.x.

• cuTensorNet requires cuTENSOR 1.5.0 or above.

• cuTensorNet requires OpenMP runtime (GOMP).

• cuTensorNet no longer requires NVIDIA HPC SDK.

cuTensorNet v0.1.0

• Initial public release

• Add support for Linux ppc64le

• Add new APIs and functionalities for:

  • Fine-tuning the slicing algorithm

  • Reconfiguring a tensor network

  • Simplifying a tensor network

  • Optimizing pathfinder parameters using the hyperoptimizer

  • Retrieving the optimizer config parameters

• API changes:

  • cutensornetContractionGetWorkspace is renamed to cutensornetContractionGetWorkspaceSize

  • cutensornetContractionAutotune()’s function signature has changed

Compatibility notes:

• cuTensorNet requires cuTENSOR 1.4.0 or above

• cuTensorNet requires NVIDIA HPC SDK 21.11 or above

cuTensorNet v0.0.1

• Initial release

• Support Linux x86_64 and Linux Arm64

• Support Volta and Ampere architectures (compute capability 7.0+)

Compatibility notes:

• cuTensorNet requires CUDA 11.4 or above

• cuTensorNet requires cuTENSOR 1.3.3 or above

• cuTensorNet supports NVIDIA HPC SDK 21.7 or above

Limitation notes:

• This release is optimized for NVIDIA A100 and V100 GPUs.