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Subject: Re: [boost] [compute] GPGPU Library - Request For Feedback
From: Evgeny Panasyuk (evgeny.panasyuk_at_[hidden])
Date: 2013-03-07 14:18:38

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: .
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: - describe
kernel in terms of special function calls, macros, expression templates
and so on. Actual kernel is generated when that description code is
Here is small demo - (check output at bottom).

Evgeny Panasyuk

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