On Sun, Mar 16, 2014 at 7:03 PM, Kyle Lutz
Boost.Compute is a GPGPU and parallel-programming library based on OpenCL. It provides an STL-like API and implements many common containers (e.g. vector<T>, array
) as well as many common algorithms (e.g. sort(), accumulate(), transform()). A full list can be found in the header reference [3].
Besides the OpenGL niceness and STLishness, is there a reason to prefer Boost.Compute over alternatives targeted at OpenCL/CUDA numerics? There's already been much work in this space [1], including VexCL [2] which many of my collaborators like. While there is an answer in the FAQ [3], it seems dodgy as clearly VexCL could not presently be built on Boost.Compute since the latter does not support for CUDA while the former does. - Rhys [1] http://arxiv.org/abs/1212.6326 [2] https://github.com/ddemidov/vexcl [3] http://kylelutz.github.io/compute/boost_compute/faq.html