I'm proud to announce the initial release (version 0.1) of
Boost.Compute! It is available on GitHub [1] and instructions for
using the library can be found in the documentation [2].
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].
I hope to propose Boost.Compute for review in the next few months but
for I'm looking for more wide-spread testing and feedback from the
Boost community (please note the FAQ [4] and design rationale [5]
where I hope to have answered some common questions).
Thanks,
Kyle
[1] https://github.com/kylelutz/compute
[2] http://kylelutz.github.io/compute/
[3] http://kylelutz.github.io/compute/compute/reference.html
[4] http://kylelutz.github.io/compute/boost_compute/faq.html
[5] http://kylelutz.github.io/compute/boost_compute/design.html
