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CUDA

Introduction

  1. Why we need CUDA ?

  2. How to use CUDA in DL ?

  3. CUDA/C++ with Pytorch

  4. Research Recently

WIKIPEDIA Definition: https://en.wikipedia.org/wiki/CUDA

Content of this repository:

  • CUDA Definition.
  • CUDA with C++
  • CUDA/C++ with Pytorch

Extension

Component Description
torch A Tensor library like NumPy, with strong GPU support
torch.autograd A tape-based automatic differentiation library that supports all differentiable Tensor operations in torch
torch.jit A compilation stack (TorchScript) to create serializable and optimizable models from PyTorch code
torch.nn A neural networks library deeply integrated with autograd designed for maximum flexibility
torch.multiprocessing Python multiprocessing, but with magical memory sharing of torch Tensors across processes. Useful for data loading and Hogwild training
torch.utils DataLoader and other utility functions for convenience

This material is made for presentation purposes for the Group Report of NEFU ICEC

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