A Compilation Pipeline Taking User-Defined Functions in Python to CUDA Kernels – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-07-11T15:00:00Z http://www.open-lab.net/blog/feed/ Nefi Alarcon <![CDATA[A Compilation Pipeline Taking User-Defined Functions in Python to CUDA Kernels]]> https://news.www.open-lab.net/?p=17250 2024-07-26T22:44:02Z 2020-06-17T18:11:25Z Numba is the just-in-time compiler used in RAPIDS cuDF to implement high-performance user-defined functions (UDFs) by turning user-supplied Python functions...]]> Numba is the just-in-time compiler used in RAPIDS cuDF to implement high-performance user-defined functions (UDFs) by turning user-supplied Python functions...

Numba is the just-in-time compiler used in RAPIDS cuDF to implement high-performance user-defined functions (UDFs) by turning user-supplied Python functions into CUDA kernels. But how does it go from Python code to CUDA kernel? In this post, I discuss Numba��s compilation pipeline. If you enjoy diving into Numba��s internals, see the accompanying notebook that shows each stage in more depth��

Source

]]> 0 ���˳���97caoporen����