123 lines
4.1 KiB
C++
123 lines
4.1 KiB
C++
//---------------------------------------------------------------------------//
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// Copyright (c) 2013-2014 Kyle Lutz <kyle.r.lutz@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 <boost/compute/core.hpp>
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#include <boost/compute/closure.hpp>
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#include <boost/compute/algorithm/copy_if.hpp>
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#include <boost/compute/container/vector.hpp>
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#include <boost/compute/random/default_random_engine.hpp>
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#include <boost/compute/random/uniform_int_distribution.hpp>
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#include <boost/compute/random/uniform_real_distribution.hpp>
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#include "perf.hpp"
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namespace compute = boost::compute;
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void test_copy_if_odd(compute::command_queue &queue)
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{
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// create input and output vectors on the device
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const compute::context &context = queue.get_context();
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compute::vector<int> input(PERF_N, context);
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compute::vector<int> output(PERF_N, context);
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// generate random numbers between 1 and 10
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compute::default_random_engine rng(queue);
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compute::uniform_int_distribution<int> d(1, 10);
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d.generate(input.begin(), input.end(), rng, queue);
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BOOST_COMPUTE_FUNCTION(bool, is_odd, (int x),
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{
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return x & 1;
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});
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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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compute::vector<int>::iterator i = compute::copy_if(
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input.begin(), input.end(), output.begin(), is_odd, queue
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);
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queue.finish();
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t.stop();
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float ratio = float(std::distance(output.begin(), i)) / PERF_N;
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if(PERF_N > 1000 && (ratio < 0.45f || ratio > 0.55f)){
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std::cerr << "error: ratio is " << ratio << std::endl;
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std::cerr << "error: ratio should be around 45-55%" << std::endl;
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}
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}
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std::cout << "time: " << t.min_time() / 1e6 << " ms" << std::endl;
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}
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void test_copy_if_in_sphere(compute::command_queue &queue)
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{
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using boost::compute::float4_;
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// create input and output vectors on the device
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const compute::context &context = queue.get_context();
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compute::vector<float4_> input_points(PERF_N, context);
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compute::vector<float4_> output_points(PERF_N, context);
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// generate random numbers in a cube
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float radius = 5.0f;
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compute::default_random_engine rng(queue);
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compute::uniform_real_distribution<float> d(-radius, +radius);
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d.generate(
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compute::make_buffer_iterator<float>(input_points.get_buffer(), 0),
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compute::make_buffer_iterator<float>(input_points.get_buffer(), PERF_N * 4),
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rng,
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queue
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);
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// predicate which returns true if the point lies within the sphere
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BOOST_COMPUTE_CLOSURE(bool, is_in_sphere, (float4_ point), (radius),
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{
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// ignore fourth component
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point.w = 0;
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return length(point) < radius;
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});
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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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compute::vector<float4_>::iterator i = compute::copy_if(
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input_points.begin(),
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input_points.end(),
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output_points.begin(),
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is_in_sphere,
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queue
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);
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queue.finish();
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t.stop();
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float ratio = float(std::distance(output_points.begin(), i)) / PERF_N;
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if(PERF_N > 1000 && (ratio < 0.5f || ratio > 0.6f)){
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std::cerr << "error: ratio is " << ratio << std::endl;
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std::cerr << "error: ratio should be around 50-60%" << std::endl;
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}
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}
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std::cout << "time: " << t.min_time() / 1e6 << " ms" << std::endl;
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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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// 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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test_copy_if_odd(queue);
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return 0;
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}
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