#include #include #include #include #include #include #include #include #include #include "velographx/algorithms.hpp" #include "velographx/io.hpp" int main(int argc, char** argv) { if (argc < 2 || argc > 3) { std::cerr << "usage: velographx_public_dataset_benchmark [source]\n"; return 2; } const std::filesystem::path dataset = argv[1]; const velographx::VertexId source = argc == 3 ? static_cast(std::stoul(argv[2])) : 0; using clock = std::chrono::steady_clock; // End-to-end timing begins when a standard, non-preprocessed edge list is // handed to VeloGraphX. Kernel-only timing begins after graph construction. const auto input_begin = clock::now(); const auto graph = velographx::load_edge_list(dataset, false); const auto load_end = clock::now(); const auto bfs_begin = clock::now(); const auto distances = velographx::bfs_distances(graph, source); const auto bfs_end = clock::now(); const auto reachable = std::count_if(distances.begin(), distances.end(), [](std::uint32_t d) { return d != std::numeric_limits::max(); }); const auto cc_begin = clock::now(); const auto components = velographx::connected_components(graph); const auto cc_end = clock::now(); const std::unordered_set component_labels(components.begin(), components.end()); const auto component_count = component_labels.size(); const auto triangle_begin = clock::now(); const auto triangles = velographx::triangle_count(graph); const auto triangle_end = clock::now(); const auto pagerank_begin = clock::now(); const auto ranks = velographx::pagerank(graph); const auto pagerank_end = clock::now(); const double rank_sum = std::accumulate(ranks.begin(), ranks.end(), 0.0); const auto us = [](auto begin, auto end) { return std::chrono::duration_cast(end - begin).count(); }; const auto load_us = us(input_begin, load_end); // Each end-to-end value is deliberately expressed as load/conversion plus // that kernel's own execution time. This prevents a fast internal layout // conversion from being hidden when comparing systems, while preserving a // separate steady-state number for kernel-focused analysis. const auto bfs_us = us(bfs_begin, bfs_end); const auto components_us = us(cc_begin, cc_end); const auto triangle_us = us(triangle_begin, triangle_end); const auto pagerank_us = us(pagerank_begin, pagerank_end); std::cout << "dataset,source,input_contract,vertices,edge_entries,load_us," "bfs_us,bfs_end_to_end_us,reachable_vertices," "components_us,components_end_to_end_us,component_count," "triangle_us,triangle_end_to_end_us,triangles," "pagerank_us,pagerank_end_to_end_us,pagerank_sum\n" << dataset.string() << ',' << source << ",edge-list," << graph.vertex_count() << ',' << graph.edge_entry_count() << ',' << load_us << ',' << bfs_us << ',' << (load_us + bfs_us) << ',' << reachable << ',' << components_us << ',' << (load_us + components_us) << ',' << component_count << ',' << triangle_us << ',' << (load_us + triangle_us) << ',' << triangles << ',' << pagerank_us << ',' << (load_us + pagerank_us) << ',' << rank_sum << '\n'; return 0; }