Hands-On GPU Programming with Python and CUDA

Other level-1 cuBLAS functions

Let's look at a few other level-1 functions. We won't go over their operation in depth, but the steps are similar to the ones we just covered: create a cuBLAS context, call the function with the appropriate array pointers (which is accessed with the gpudata parameter from a PyCUDA gpuarray), and set the strides accordingly. Another thing to keep in mind is that if the output of a function is a single value as opposed to an array (for example, a dot product function), the function will directly output this value to the host rather than within an array of memory that has to be pulled off the GPU. (We will only cover the single precision real versions here, but the corresponding versions for other datatypes can ...