Introduction Metaprogramming enables flexible, dynamic code creation for specific tasks in GPU computing. In Python, PyCUDA and CuPy leverage metaprogramming to generate custom CUDA kernels that optimize GPU performance for complex calculations. This article covers techniques and examples to harness metaprogramming with PyCUDA and CuPy. Understanding Metaprogramming for GPU Computing Python supports metaprogramming techniques essential … Continue reading Metaprogramming Custom CUDA Kernels with PyCUDA and CuPy for 2025 GPU Computing