cupy

We have hosted the application cupy in order to run this application in our online workstations with Wine or directly.

Quick description about cupy:

CuPy is an open source implementation of NumPy-compatible multi-dimensional array accelerated with NVIDIA CUDA. It consists of cupy.ndarray, a core multi-dimensional array class and many functions on it.

CuPy offers GPU accelerated computing with Python, using CUDA-related libraries to fully utilize the GPU architecture. According to benchmarks, it can even speed up some operations by more than 100X. CuPy is highly compatible with NumPy, serving as a drop-in replacement in most cases.

CuPy is very easy to install through pip or through precompiled binary packages called wheels for recommended environments. It also makes writing a custom CUDA kernel very easy, requiring only a small code snippet of C++.

Features:

• GPU accelerated computing with Python
• Highly compatible with NumPy
• Easy installation
• Easy creation of a custom CUDA kernel

Programming Language: Python.
Categories: