cutorch
A CUDA backend for Torch7 that enables GPU-accelerated tensor operations with a familiar Torch API.
What is cutorch?
Cutorch is a CUDA backend for Torch7 that provides GPU-accelerated tensor operations. It enables developers to run numerical computations on NVIDIA GPUs by introducing CUDA tensor types that mirror Torch's CPU tensor API, significantly speeding up machine learning and scientific computing workloads.
Machine learning researchers and developers using Torch7 who need GPU acceleration for tensor operations, particularly those working with deep learning models or large-scale numerical computations.
Developers choose Cutorch because it maintains full API compatibility with Torch7's CPU tensors while providing transparent GPU acceleration, multi-GPU support, and advanced CUDA features like stream management and peer-to-peer access without requiring low-level CUDA programming.
Overview
A CUDA backend for Torch7
Use Cases
Best For
- Accelerating deep learning training with Torch7 on NVIDIA GPUs
- Running large-scale numerical simulations with GPU tensor operations
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