Subject: [boost] [compute] GPGPU Library - Request For Feedback
From: Kyle Lutz (kyle.r.lutz_at_[hidden])
Date: 2013-03-02 17:25:38
A while back I posted a message asking for interest in a GPGPU computing
library and the response seemed positive. I've been slowly working on it
for the last few months and it has finally reached a usable state. I've
made an initial release on GitHub (details below) and would like to get
feedback from the community.
The Boost Compute library provides a partial implementation of the C++
standard library for GPUs and multi-core CPUs. It includes common
containers (vector<T>, flat_set<T>) and standard algorithms (transform,
sort, accumulate). It also features a number of extensions including
parallel-computing focused algorithms (exclusive_scan, scatter, reduce)
along with a number of fancy iterators (transform_iterator,
permutation_iterator). 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).
The source code and documentation are available from the links below.
Bug Tracker: https://github.com/kylelutz/compute/issues
I've tested the library with GCC 4.7 and Clang 3.3 on both NVIDIA GPUs and
Intel CPUs. However, I would not yet consider the library production-ready.
Most of my time has been devoted to reaching a solid and well-tested API
rather than on performance. Over time this will improve.
Feel free to send any questions, comments or feedback.
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