//---------------------------------------------------------------------------// // Copyright (c) 2013-2014 Kyle Lutz // // Distributed under the Boost Software License, Version 1.0 // See accompanying file LICENSE_1_0.txt or copy at // http://www.boost.org/LICENSE_1_0.txt // // See http://boostorg.github.com/compute for more information. //---------------------------------------------------------------------------// #include #include #include #include #include #include #include #include "perf.hpp" namespace compute = boost::compute; void test_copy_if_odd(compute::command_queue &queue) { // create input and output vectors on the device const compute::context &context = queue.get_context(); compute::vector input(PERF_N, context); compute::vector output(PERF_N, context); // generate random numbers between 1 and 10 compute::default_random_engine rng(queue); compute::uniform_int_distribution d(1, 10); d.generate(input.begin(), input.end(), rng, queue); BOOST_COMPUTE_FUNCTION(bool, is_odd, (int x), { return x & 1; }); perf_timer t; for(size_t trial = 0; trial < PERF_TRIALS; trial++){ t.start(); compute::vector::iterator i = compute::copy_if( input.begin(), input.end(), output.begin(), is_odd, queue ); queue.finish(); t.stop(); float ratio = float(std::distance(output.begin(), i)) / PERF_N; if(PERF_N > 1000 && (ratio < 0.45f || ratio > 0.55f)){ std::cerr << "error: ratio is " << ratio << std::endl; std::cerr << "error: ratio should be around 45-55%" << std::endl; } } std::cout << "time: " << t.min_time() / 1e6 << " ms" << std::endl; } void test_copy_if_in_sphere(compute::command_queue &queue) { using boost::compute::float4_; // create input and output vectors on the device const compute::context &context = queue.get_context(); compute::vector input_points(PERF_N, context); compute::vector output_points(PERF_N, context); // generate random numbers in a cube float radius = 5.0f; compute::default_random_engine rng(queue); compute::uniform_real_distribution d(-radius, +radius); d.generate( compute::make_buffer_iterator(input_points.get_buffer(), 0), compute::make_buffer_iterator(input_points.get_buffer(), PERF_N * 4), rng, queue ); // predicate which returns true if the point lies within the sphere BOOST_COMPUTE_CLOSURE(bool, is_in_sphere, (float4_ point), (radius), { // ignore fourth component point.w = 0; return length(point) < radius; }); perf_timer t; for(size_t trial = 0; trial < PERF_TRIALS; trial++){ t.start(); compute::vector::iterator i = compute::copy_if( input_points.begin(), input_points.end(), output_points.begin(), is_in_sphere, queue ); queue.finish(); t.stop(); float ratio = float(std::distance(output_points.begin(), i)) / PERF_N; if(PERF_N > 1000 && (ratio < 0.5f || ratio > 0.6f)){ std::cerr << "error: ratio is " << ratio << std::endl; std::cerr << "error: ratio should be around 50-60%" << std::endl; } } std::cout << "time: " << t.min_time() / 1e6 << " ms" << std::endl; } int main(int argc, char *argv[]) { perf_parse_args(argc, argv); // setup context and queue for the default device boost::compute::device device = boost::compute::system::default_device(); boost::compute::context context(device); boost::compute::command_queue queue(context, device); std::cout << "device: " << device.name() << std::endl; test_copy_if_odd(queue); return 0; }