The API Reference guide for cuBLAS, the CUDA Basic Linear Algebra Subroutine library.| docs.nvidia.com
GPU acceleration can be trivial for Python users. Follow CUDA installation steps carefully, replace import numpy as np with import cupy as np, and you will often get the 100x performance boosts without breaking a sweat. Every time you write magical one-liners, remember a systems engineer is making your dreams come true. A couple of years ago, when I was giving a talk on the breadth of GPGPU technologies, I published a repo.| ashvardanian.com