Bridging the CUDA C++ Ecosystem and Python Developers with Numbast – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-03-27T16:00:00Z http://www.open-lab.net/blog/feed/ Michael Yh Wang <![CDATA[Bridging the CUDA C++ Ecosystem and Python Developers with Numbast]]> http://www.open-lab.net/blog/?p=90086 2024-10-31T16:26:15Z 2024-10-24T16:30:00Z 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...]]> 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...

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), cuRAND, and header-based implementations of numeric types��

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