>If you actually want to learn something about CUDA, implementing matrix multiplication is a great exercise. There is SAXPY (matrix math A*X+Y), purportedly ([

>If you actually want to learn something about CUDA, implementing matrix multiplication is a great exercise. There is SAXPY (matrix math A*X+Y), purportedly ([1]) the hello world of parallel math code. >SAXPY stands for “Single-Precision A·X Plus Y”. It is a function in the standard Basic Linear Algebra Subroutines (BLAS)library. SAXPY is a combination of scalar multiplication and vector addition, and it’s very simple: it takes as input two vectors of 32-bit floats X and Y with N elements each, and a scalar value A. It multiplies each element X[i] by A and adds the result to Y[i]. [1]: https://developer.nvidia.com/blog/six-ways-saxpy/ https://developer.nvidia.com/blog/six-ways-saxpy/