Shohei Hido - CuPy: A NumPy-compatible Library for GPU - PyCon 2018
Speaker: Shohei Hido
![Logo][https://raw.githubusercontent.com/cup...]
CuPy : NumPy-like API accelerated with CUDA
[**Website**](https://cupy.chainer.org/) | [**Docs**](https://docs-cupy.chainer.org/en/stable/) | [**Install Guide**](https://docs-cupy.chainer.org/en/stab...) | [**Tutorial**](https://docs-cupy.chainer.org/en/stab...) | *Examples* ([Official](https://github.com/cupy/cupy/blob/mas...) | [**Forum**](https://groups.google.com/forum/#!for...)
CuPy is an open-source library with NumPy syntax that increases speed by doing matrix operations on NVIDIA GPUs. It is accelerated with the CUDA platform from NVIDIA and also uses CUDA-related libraries, including cuBLAS, cuDNN, cuRAND, cuSOLVER, cuSPARSE, and NCCL, to make full use of the GPU architecture. CuPy's interface is highly compatible with NumPy; in most cases it can be used as a drop-in replacement. CuPy supports various methods, data types, indexing, broadcasting, and more.
Slides can be found at: https://speakerdeck.com/pycon2018 and https://github.com/PyCon/2018-slides
