This is the Linux app named CuPy whose latest release can be downloaded as v10.0.0.zip. It can be run online in the free hosting provider OnWorks for workstations.
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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++.
- GPU accelerated computing with Python
- Highly compatible with NumPy
- Easy installation
- Easy creation of a custom CUDA kernel
This is an application that can also be fetched from https://sourceforge.net/projects/cupy.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.