This repo contains a simple example on how to interface CUDA with Python using the 'ctypes'-package. The example consists of a CUDA vector-addition function used in a Python script. There are of ...

CUDA Python Low-level Bindings. Contribute to NVIDIA/cuda-python development by creating an account on GitHub.

Numbast introduces an automated pipeline to convert CUDA C++ APIs into Numba bindings, enhancing Python developers' access to CUDA's performance.

Instead of merging C/CUDA code with Python, it allows the development of efficient applications for both, CPUs and GPUs in Python style. When a Python script using Numba is executed, marked functions ...

Pyhton projects can perform fast algebraic calculations with low overhead using the new Nvidia library for Cuda-X.

Instead of merging C/CUDA code with Python, it allows the development of efficient applications for both, CPUs and GPUs in Python style. When a Python script using Numba is executed, marked functions ...

Bend by default executes code on CPU and GPU in parallel with Python-like syntax, making it a great choice for developers getting started with GPU development.

But CUDA GPU's are good investments -- hopefully more projects will allow them to be used!<BR><BR>A broken bluray drive PS3 gotten for cheap on ebay or the like might actually be the best bang-for ...