#include "pls/pls.h" using namespace pls::internal::scheduling; #include "benchmark_runner.h" #include "benchmark_base/unbalanced.h" using namespace comparison_benchmarks::base; #include int count_child_nodes(unbalanced::node &node) { if (node.get_num_children() < 1) { return 1; } std::atomic count{1}; for (int i = 0; i < node.get_num_children(); i++) { pls::spawn([i, &count, &node] { unbalanced::node child_node = node.spawn_child_node(i); count.fetch_add(count_child_nodes(child_node)); }); } pls::sync(); return count; } int unbalanced_tree_search(int seed, int root_children, double q, int normal_children) { unbalanced::node root(seed, root_children, q, normal_children); return count_child_nodes(root); } constexpr int MAX_NUM_TASKS = 180; constexpr int MAX_STACK_SIZE = 4096 * 1; int main(int argc, char **argv) { auto settings = benchmark_runner::parse_parameters(argc, argv); string test_name = to_string(settings.num_threads_) + ".csv"; string full_directory = settings.output_directory_ + "/PLS_v3/"; benchmark_runner runner{full_directory, test_name}; pls::scheduler scheduler{(unsigned) settings.num_threads_, MAX_NUM_TASKS, MAX_STACK_SIZE}; if (settings.type_ == benchmark_runner::benchmark_settings::ISOLATED) { #if PLS_PROFILING_ENABLED scheduler.get_profiler().disable_memory_measure(); runner.add_custom_stats_field("T_1"); runner.add_custom_stats_field("T_inf"); #endif printf("Running isolated measurement...\n"); runner.enable_memory_stats(); runner.pre_allocate_stats(); runner.run_iterations(settings.iterations_, [&]() { scheduler.perform_work([&]() { unbalanced_tree_search(unbalanced::SEED, unbalanced::ROOT_CHILDREN, unbalanced::Q, unbalanced::NORMAL_CHILDREN); }); }, [&]() {}, [&]() { #if PLS_PROFILING_ENABLED runner.store_custom_stat("T_1", scheduler.get_profiler().current_run().t_1_); runner.store_custom_stat("T_inf", scheduler.get_profiler().current_run().t_inf_); #endif }); runner.commit_results(true); } else { printf("Running periodic measurement...\n"); runner.enable_wall_time_stats(); runner.pre_allocate_stats(); runner.run_periodic(settings.iterations_, settings.interval_period_, settings.interval_deadline_, [&]() { scheduler.perform_work([&]() { unbalanced_tree_search(unbalanced::SEED, unbalanced::ROOT_CHILDREN, unbalanced::Q, unbalanced::NORMAL_CHILDREN); }); }); runner.commit_results(true); } }