This adds a method to the event class which allows the user to
register a callback function to be invoked when the event reaches
the specified state (e.g. when it completes).
This adds a new macro which allows the user to adapt a C++ struct
or class for use with OpenCL given its type, name, and members.
This allows for custom user-defined data-types to be used with the
Boost.Compute containers and algorithms.
This adds an experimental directory which contains various
experimental algorithms and functions. The files and APIs
under this directory are experimental and unstable.
The current version that gets installed automatically is broken in the
sense that it does not work on a CPU in the absence of a GPU (e.g. see
https://travis-ci.org/ddemidov/vexcl/jobs/18265418#L276).
This installs version 2:8.960-0ubuntu1 which does work.
This adds third-party performance tests to use in comparing
Boost.Compute with other parallel/GPGPU frameworks like Intel's
TBB and NVIDIA's Thrust along with the C++ STL.
Also refactors the timing and profiling infrastructure and adds
a simple perf.py driver script for running performance tests.
This changes the vector<T> constructors which copy or initialize
data to take a queue argument used for performing the operations.
Previously they just took a context argument used to initialize the
buffer and then created a new command queue to use. This improves
performance by not requiring a new command queue and also fixes issues
when performing operations on a different command queue while the
vector was still being initialized.
This skips the generate_pair test on AMD which does not
properly support struct assignment. Before this patch the
test would fail with "UNREACHABLE executed!" and a SIGABRT.
