Advanced kernel functions in PyCUDA

So far, we have seen the use of the SourceModule class for defining kernel functions in C or C++. We have also used the gpuarray class for doing device computations without defining kernel functions explicitly. This section describes the advanced kernel definition features available in PyCUDA. These features are used to develop kernel functions for various parallel communication patterns like the map, reduce, and scan operations.

Element-wise kernel in PyCUDA

This feature allows the programmer to define a kernel function that works on every element of an array. It allows the programmer to execute the kernel on complex expressions that are made of one or more operands into a single computational...