76 lines
2.4 KiB
C++
76 lines
2.4 KiB
C++
//---------------------------------------------------------------------------//
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// Copyright (c) 2014 Roshan <thisisroshansmail@gmail.com>
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//
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// Distributed under the Boost Software License, Version 1.0
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// See accompanying file LICENSE_1_0.txt or copy at
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// http://www.boost.org/LICENSE_1_0.txt
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//
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// See http://boostorg.github.com/compute for more information.
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//---------------------------------------------------------------------------//
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#include <algorithm>
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#include <iostream>
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#include <numeric>
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#include <vector>
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#include <boost/compute/system.hpp>
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#include <boost/compute/algorithm/set_union.hpp>
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#include <boost/compute/container/vector.hpp>
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#include "perf.hpp"
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int rand_int()
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{
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return static_cast<int>((rand() / double(RAND_MAX)) * 25.0);
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}
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int main(int argc, char *argv[])
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{
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perf_parse_args(argc, argv);
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std::cout << "size: " << PERF_N << std::endl;
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// setup context and queue for the default device
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boost::compute::device device = boost::compute::system::default_device();
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boost::compute::context context(device);
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boost::compute::command_queue queue(context, device);
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std::cout << "device: " << device.name() << std::endl;
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// create vectors of random numbers on the host
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std::vector<int> v1(std::floor(PERF_N / 2.0));
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std::vector<int> v2(std::ceil(PERF_N / 2.0));
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std::generate(v1.begin(), v1.end(), rand_int);
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std::generate(v2.begin(), v2.end(), rand_int);
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std::sort(v1.begin(), v1.end());
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std::sort(v2.begin(), v2.end());
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// create vectors on the device and copy the data
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boost::compute::vector<int> gpu_v1(std::floor(PERF_N / 2.0), context);
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boost::compute::vector<int> gpu_v2(std::ceil(PERF_N / 2.0), context);
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boost::compute::copy(
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v1.begin(), v1.end(), gpu_v1.begin(), queue
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);
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boost::compute::copy(
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v2.begin(), v2.end(), gpu_v2.begin(), queue
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);
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boost::compute::vector<int> gpu_v3(PERF_N, context);
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boost::compute::vector<int>::iterator gpu_v3_end;
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perf_timer t;
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for(size_t trial = 0; trial < PERF_TRIALS; trial++){
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t.start();
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gpu_v3_end = boost::compute::set_union(
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gpu_v1.begin(), gpu_v1.end(),
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gpu_v2.begin(), gpu_v2.end(),
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gpu_v3.begin(), queue
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);
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queue.finish();
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t.stop();
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}
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std::cout << "time: " << t.min_time() / 1e6 << " ms" << std::endl;
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std::cout << "size: " << std::distance(gpu_v3.begin(), gpu_v3_end) << std::endl;
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return 0;
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}
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