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main_curveball_benchmark.cpp
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main_curveball_benchmark.cpp
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/**
* @file main_curveball_benchmark.cpp
* @date 22. October 2017
*
* @author Hung Tran
*/
#include <iostream>
#include <chrono>
#include <EdgeStream.h>
#include <stxxl/cmdline>
#include <Curveball/EMCurveball.h>
#include <HavelHakimi/HavelHakimiIMGenerator.h>
#include <Utils/StreamPusher.h>
#include <Utils/IOStatistics.h>
#include <Utils/MonotonicPowerlawRandomStream.h>
#include <Utils/NodeHash.h>
#include <DegreeStream.h>
#include <Utils/StreamPusherRedirectStream.h>
struct PowerlawBenchmarkParams {
uint32_t num_rounds;
stxxl::uint64 num_nodes;
stxxl::uint64 min_deg;
stxxl::uint64 max_deg;
double gamma;
stxxl::uint64 internal_mem;
int num_threads;
unsigned int random_seed;
uint32_t num_macrochunks;
uint32_t num_microchunk_splits;
uint32_t num_batch_splits;
stxxl::uint64 insertion_buffer_size;
stxxl::uint64 num_max_msgs;
PowerlawBenchmarkParams() :
num_rounds(1),
num_nodes(10 * UIntScale::M),
min_deg(2),
max_deg(100 * UIntScale::K),
gamma(-2.0),
internal_mem(2 * UIntScale::Gi),
num_threads(16),
num_macrochunks(16),
num_microchunk_splits(16),
num_batch_splits(1),
insertion_buffer_size(1000),
num_max_msgs(Curveball::DUMMY_LIMIT) // not a concern
{
using my_clock = std::chrono::high_resolution_clock;
my_clock::duration d = my_clock::now() - my_clock::time_point::min();
random_seed = d.count();
}
#if STXXL_VERSION_INTEGER > 10401
#define CMDLINE_COMP(chr, str, dest, args...) \
chr, str, dest, args
#else
#define CMDLINE_COMP(chr, str, dest, args...) \
chr, str, args, dest
#endif
bool parse_cmdline(int argc, char* argv[]) {
stxxl::cmdline_parser cp;
{
cp.add_uint(CMDLINE_COMP('r', "num_rounds", num_rounds, "Number of Global Trade Rounds"));
cp.add_bytes(CMDLINE_COMP('n', "num_nodes", num_nodes, "Number of Nodes"));
cp.add_bytes(CMDLINE_COMP('a', "min_deg", min_deg, "Min. Degree of Powerlaw Degree Distribution"));
cp.add_bytes(CMDLINE_COMP('b', "max_deg", max_deg, "Max. Degree of Powerlaw Degree Distribution"));
cp.add_double(CMDLINE_COMP('g', "gamma", gamma, "Gamma of Powerlaw Degree Distribution"));
cp.add_bytes(CMDLINE_COMP('i', "ram", internal_mem, "Internal Memory"));
cp.add_int(CMDLINE_COMP('t', "num_threads", num_threads, "Number of Threads"));
cp.add_uint(CMDLINE_COMP('s', "seed", random_seed, "Initial Seed for PRNG"));
cp.add_uint(CMDLINE_COMP('c', "num_macrochunks", num_macrochunks, "Number of Macrochunks"));
cp.add_uint(CMDLINE_COMP('z', "num_microchunk_splits", num_microchunk_splits, "Number of Microchunks Multiplier in a Macrochunk"));
cp.add_uint(CMDLINE_COMP('j', "num_batch_splits", num_batch_splits, "Number of Microchunk Multiplier in a Batch"));
cp.add_bytes(CMDLINE_COMP('y', "insertion_buffer_size", insertion_buffer_size, "Insertion Buffer Size"));
cp.add_bytes(CMDLINE_COMP('l', "num_max_msgs", num_max_msgs, "Number of Max. Messages in RAM"));
if (!cp.process(argc, argv)) {
cp.print_usage();
return false;
}
}
// correct the degree exponent if necessary
if (gamma > 0)
gamma = (-1.0) * gamma;
cp.print_result();
return true;
}
};
void benchmark(const PowerlawBenchmarkParams& config) {
stxxl::stats *stats = stxxl::stats::get_instance();
stxxl::stats_data stats_begin(*stats);
// Build edge list
EdgeStream edge_stream;
EdgeStream out_edge_stream;
IOStatistics hh_report;
HavelHakimiIMGeneratorWithDegrees hh_gen(HavelHakimiIMGeneratorWithDegrees::PushDirection::DecreasingDegree);
assert(config.gamma < 0);
MonotonicPowerlawRandomStream<false> degree_sequence(config.min_deg,
config.max_deg,
config.gamma,
config.num_nodes,
1.0,
stxxl::get_next_seed());
StreamPusher<decltype(degree_sequence), decltype(hh_gen)>(degree_sequence, hh_gen);
hh_gen.generate();
StreamPusher<decltype(hh_gen), EdgeStream>(hh_gen, edge_stream);
hh_gen.finalize();
auto & degree_stream = hh_gen.get_degree_stream();
hh_report.report("HHEdges");
// Run algorithm
edge_stream.rewind();
degree_stream.rewind();
IOStatistics cb_report;
Curveball::EMCurveball<Curveball::ModHash, decltype(degree_stream)> algo(edge_stream,
degree_stream,
config.num_nodes,
config.num_rounds,
out_edge_stream,
config.num_macrochunks,
config.num_microchunk_splits,
config.num_batch_splits,
config.internal_mem / 4,
config.internal_mem,
config.num_max_msgs,
config.num_threads,
config.insertion_buffer_size,
true);
algo.run();
cb_report.report("CurveballStats");
std::cout << "Initial edgecount " << edge_stream.size() << std::endl;
std::cout << "Output edgecount " << out_edge_stream.size() << std::endl;
if (edge_stream.size() != out_edge_stream.size())
std::cout << "Error" << std::endl;
}
int main(int argc, char* argv[]) {
#ifndef NDEBUG
std::cout << "[Built with assertions]" << std::endl;
#endif
std::cout << "STXXL VERSION" << STXXL_VERSION_INTEGER << std::endl;
// print arguments
for (int i = 0; i < argc; ++i)
std::cout << argv[i] << " ";
std::cout << std::endl;
// infos regarding data types
std::cout << "int_t: " << sizeof(int_t) << "b\n"
<< "uint_t: " << sizeof(uint_t) << "b\n"
<< "node_t: " << sizeof(node_t) << "b\n"
<< "degree_t: " << sizeof(degree_t) << "b\n"
<< "edge_t: " << sizeof(edge_t) << "b\n"
<< "NeighbourMsg: " << sizeof(Curveball::NeighbourMsg) << "b\n"
<< std::endl;
PowerlawBenchmarkParams config;
if (!config.parse_cmdline(argc, argv))
return -1;
stxxl::srandom_number32(config.random_seed);
stxxl::set_seed(config.random_seed);
benchmark(config);
std::cout << "Maximum EM allocation: " << stxxl::block_manager::get_instance()->get_maximum_allocation() << std::endl;
return 0;
}