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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Source:: NVIDIA