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<T, N>) 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