03.03.2013 2:25, Kyle Lutz:
The library is built around the OpenCL framework which allows it to be portable across many types of devices (GPUs, CPUs, and accelerator cards) from many different vendors (NVIDIA, Intel, AMD).
It looks like this library is some kind of abstraction around OpenCL. But as I can see, it does not offer ways to abstract from OpenCL kernels syntax in general way: https://github.com/kylelutz/compute/blob/master/example/monte_carlo.cpp . I.e. not just simple things like boost::compute::sqrt, or simple lambda expressions like "_1 * 3 - 4". Kernel description can be abstracted in several ways: 1) Approach similar to Boost.Phoenix - generate OpenCL kernel code based on gathered expression tree. 2) Approach similar to TaskGraph library: http://www3.imperial.ac.uk/pls/portallive/docs/1/45421696.PDF - describe kernel in terms of special function calls, macros, expression templates and so on. Actual kernel is generated when that description code is "executed". Here is small demo - http://ideone.com/qQ4Pvo (check output at bottom). -- Evgeny Panasyuk