************* 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 :ref:`cuTensorNet workspace management API` for details). * Binding a user-provided, *stream-ordered* memory pool to the library (see :ref:`cuTensorNet memory management API` for details). * Query of the output tensor details (see `cutensornetGetOutputTensorDetails`). * Set the number of threads for the hyperoptimizer (see :ref:`hyperoptimizer` 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.