Release Notes

cuTensorNet v1.0.1

• Bugs fixed:

  • Fix a workspace pointer alignment issue.

  • Fix a potential path optimizer issue to avoid returning CUTENSORNET_STATUS_NOT_SUPPORTED by performing more slicing.

• Performance enhancements:

  • This release improved the support for generalized einsum expression to provide a better contraction path.

• Other changes:

  • The Overview and Getting Started pages are significantly improved!

  • Clarify in the documentation and sample that the contraction over slices needs to be done in ascending order, and that when parallelizing over the slices the output tensor should be zero-initialized.

  • Clarify in the documentation that the returned FLOP count assumes real-valued inputs.

  • Several issues in the C++ sample (samples/cutensornet/tensornet_example.cu) are fixed.

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.

Limitation notes:

• If multiple slices are created, the order of contracting over slices using cutensornetContraction() should be ascending starting from slice 0. If parallelizing over slices manually (in any fashion: streams, devices, processes, etc.), please make sure the output tensors (that are subject to a global reduction) are zero-initialized.

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.