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

Shohei Hido - CuPy: A NumPy-compatible Library for GPU - PyCon 2018 camera iphone 8 plus apk
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