boost 里都有 GPU 并行计算了
"Boost.Compute is a GPU/parallel-computing library for C++ based on OpenCL.
The core library is a thin C++ wrapper over the OpenCL API and provides access to compute devices, contexts, command queues and memory buffers."
https://github.com/boostorg/compute
还有例子：
＂The following example shows how to sort a vector of floats on the GPU: ＂
#include <vector>
#include <algorithm>
#include <boost/compute.hpp>
namespace compute = boost::compute;
int main()
{
// get the default compute device
compute::device gpu = compute::system::default_device();
// create a compute context and command queue
compute::context ctx(gpu);
compute::command_queue queue(ctx, gpu);
// generate random numbers on the host
std::vector<float> host_vector(1000000);
std::generate(host_vector.begin(), host_vector.end(), rand);
// create vector on the device
compute::vector<float> device_vector(1000000, ctx);
// copy data to the device
compute::copy(
host_vector.begin(), host_vector.end(), device_vector.begin(), queue
);
// sort data on the device
compute::sort(
device_vector.begin(), device_vector.end(), queue
);
// copy data back to the host
compute::copy(
device_vector.begin(), device_vector.end(), host_vector.begin(), queue
);
return 0;
} copy来copy去需要占多少时间？ Boost威武！ 本帖最后由 fender0107401 于 2016-05-24 08:58 编辑
之前研究过GPU计算，不过没怎么深入弄，感觉暂时还用不到，不过Boost里面有这个感觉还是很好的。 boost搞这么庞大，奔着 Java 去了？ http://www.boost.org/doc/libs/1_61_0/libs/compute/doc/html/index.html
:em17: Introduction
The Boost Compute library provides a C++ interface to multi-core CPU and GPGPU computing platforms based on OpenCL.
The project is hosted on GitHub at https://github.com/boostorg/compute. Click the arrow below to see the guide on Getting Started.
multi-core 似乎没啥用，直接用thread搞定。
不过GPU这个挺有用的。
而且这个不是基于CUDA而是基于OpenCL，感觉比较好。
之前Nvidia的一个负责人说CUDA是开放的，但是Nvidia的显卡驱动永远不会开放。 这个比较牛, 以后做并行计算要简单多了, {:1_1:} good job.
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