Originally published at: Bridging the CUDA C++ Ecosystem and Python Developers with Numbast | NVIDIA Technical Blog
By enabling CUDA kernels to be written in Python similar to how they can be implemented within C++, Numba bridges the gap between the Python ecosystem and the performance of CUDA. However, CUDA C++ developers have access to many libraries that presently have no exposure in Python. These include the CUDA Core Compute Libraries (CCCL),…