cuTensorNet: A High-Performance Library for Tensor Network Computations¶
Welcome to the cuTensorNet library documentation!
NVIDIA cuTensorNet is a high-performance library for tensor network computations, a component of the NVIDIA cuQuantum SDK.
Based on NVIDIA’s high-performance tensor linear algebra library: cuTENSOR
Provides APIs for:
Creating a tensor network
Finding a low-cost path for any given tensor network contraction
Finding a low-cost slicing to meet specified memory constraints
Tuning the path finder’s configuration for better performance
Performing tensor network auto-tuning and contractions
Supported GPU Architectures:
Supported CPU Architectures:
- Release Notes
- Getting Started
- API Reference