Question

I would like to compile parallel.cu and python_wrapper.cpp where python_wrapper.cpp use Boost.python to expose the method in parallel.cu to python.
I’m new to both cuda and Boost.python.
From their manual and google, I couldn’t find how to make them talk.
Some site says, that I should do something like

nvcc -o parallel.cu
g++ -o python_wrapper.cpp
g++ parallel.o python_wrapper.o

But the only way I know to compile a Boost.python code is to use bjam.
There have been attempt to integrate nvcc into bjam, but I couldn’t make them work.

parallel.cuh

__global__ void parallel_work();
int do_parallel_work();

python_wrapper.cpp

#include <boost/python/module.hpp>
#include <boost/python/def.hpp>
#include "parallel.cuh"

BOOST_PYTHON_MODULE(parallel_ext){
    using namespace boost::python;
    def("parallel", do_parallel_work);
}

How can I compile these files?
I have heard of PyCuda, but I need to include Boost and thrust library in my .cu files.
Also, if possible, I would like to stick to a standard command line driven compilation process.

Answer 1

Create a static or dynamic library with the CUDA functions and link it in. That is, use nvcc to create the library and then, in a separate step, use g++ to create the Python module and link in the library.