NVIDIA cuTENSOR is a CUDA math library that provides optimized implementations of tensor operations where tensors are dense, multi-dimensional arrays or array…

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NVIDIA cuTENSOR 2.0 is a CUDA math library that provides optimized implementations of tensor operations for dense, multi-dimensional arrays. It offers improved functionality and performance, including just-in-time compilation capabilities. Developers can benefit from cuTENSOR in CUDA, Fortran, Python, and Julia. The library supports contractions, elementwise operations, and reductions. Performance guidelines and examples are provided.

cuTENSOR 2.0: A Comprehensive Guide for Accelerating Tensor Computations