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run_wpcsr.cpp
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#include <span>
#include "PMA/CPMA.hpp"
#include "PMA/PCSR.hpp"
#include "EdgeMapVertexMap/algorithms/BellmanFord.h"
#include "EdgeMapVertexMap/include/EdgeMapVertexMap/internal/io_util.hpp"
#include "include/PMA/internal/rmat_util.hpp"
#include "parlay/internal/group_by.h"
#include "parlay/primitives.h"
#if !defined(KEY_TYPE)
#define KEY_TYPE uint32_t
#endif
using key_type = KEY_TYPE;
#if !defined(WEIGHT_TYPE)
#define WEIGHT_TYPE uint32_t
#endif
using weight_type = WEIGHT_TYPE;
#if !defined(LEAFFORM)
#define LEAFFORM uncompressed
#endif
#define LEAFFORM2(form) form##_leaf<key_type, weight_type>
#define LEAFFORM3(form) LEAFFORM2(form)
using leaf = LEAFFORM3(LEAFFORM);
#if !defined(HEADFORM)
#define HEADFORM InPlace
#endif
static constexpr HeadForm head_form = HEADFORM;
static constexpr uint64_t B_size = (head_form == BNary) ? 17 : 0;
static constexpr bool store_density = false;
static constexpr bool support_rank = false;
using traits = PMA_traits<leaf, head_form, B_size, store_density, support_rank,
false, 0, true, true>;
using PCSR_Type = PCSR<traits>;
bool real_graph(const std::string &filename, int iters = 20,
uint32_t start_node = 0) {
PCSR_Type::node_t num_nodes = 0;
uint64_t num_edges = 0;
auto edges = EdgeMapVertexMap::get_edges_from_file_adj<key_type, weight_type>(
filename, &num_edges, &num_nodes, true);
printf("done reading in the file, n = %lu, m = %lu\n", (uint64_t)num_nodes,
num_edges);
if (start_node >= num_nodes) {
std::cerr << "start node is greater than the number of nodes\n";
std::cerr << "start node is " << start_node << "\n";
return false;
}
auto start = get_usecs();
PCSR_Type g(num_nodes, edges);
// for (auto edge : edges) {
// g.insert(edge.first, edge.second);
// }
auto end = get_usecs();
// g.print();
g.write_adj_file("del.adj");
// return true;
printf("inserting the edges took %lums\n", (end - start) / 1000);
num_nodes = g.num_nodes();
int64_t size = g.get_size();
printf("size = %lu bytes, num_edges = %lu, num_nodes = %lu\n", size,
g.num_edges(), (uint64_t)g.num_nodes());
int32_t bf_result2_ = 0;
uint64_t parallel_bf_time2 = 0;
for (int i = 0; i < iters; i++) {
start = get_usecs();
auto *bf_out = EdgeMapVertexMap::BF(g, start_node);
end = get_usecs();
if (i == 0) {
std::ofstream myfile;
myfile.open("bf.out");
for (unsigned int j = 0; j < num_nodes; j++) {
myfile << bf_out[j] << "\n";
}
myfile.close();
}
bf_result2_ += bf_out[0];
free(bf_out);
parallel_bf_time2 += (end - start);
}
// printf("bfs took %lums, parent of 0 = %d\n", (bfs_time)/(1000*iters),
// bfs_result_/iters);
printf("BellmanFord took %lums, distance of 0 = %d\n",
parallel_bf_time2 / (1000 * iters), bf_result2_ / iters);
printf("F-Graph, %d, BF, %u, %s, ##, %f\n", iters, start_node,
filename.c_str(), (double)parallel_bf_time2 / (iters * 1000000));
if (true) {
for (uint64_t b_size = 10; b_size <= 1000000; b_size *= 10) {
auto r = random_aspen(b_size);
double batch_insert_time = 0;
double batch_remove_time = 0;
for (int it = 0; it < iters + 1; it++) {
// uint64_t size = g.get_memory_size();
// printf("size start = %lu\n", size);
double a = 0.5;
double b = 0.1;
double c = 0.1;
size_t nn = 1UL << (log2_up(num_nodes) - 1);
auto rmat = rMat<PCSR_Type::node_t>(
(PCSR_Type::node_t)nn, (PCSR_Type::node_t)r.ith_rand(it), a, b, c);
std::vector<
std::tuple<PCSR_Type::node_t, PCSR_Type::node_t, weight_type>>
es(b_size);
ParallelTools::parallel_for(0, b_size, [&](uint64_t i) {
// rmat breaks if the batch is bigger than a uint32_t
assert(i < std::numeric_limits<uint32_t>::max());
std::pair<PCSR_Type::node_t, PCSR_Type::node_t> edge =
rmat((uint32_t)i);
es[i] = {edge.first, edge.second, i % 256};
});
auto delete_batch = es;
start = get_usecs();
g.insert_batch(es);
end = get_usecs();
static constexpr PCSR_Type::node_t top_bit =
(std::numeric_limits<PCSR_Type::node_t>::max() >> 1) + 1;
ParallelTools::parallel_for(0, b_size, [&](uint64_t i) {
auto src = std::get<0>(es[i]);
if (src >= top_bit) {
src ^= top_bit;
}
if (!g.contains(src, std::get<1>(es[i]))) {
std::cout << "missing something after insert\n";
}
});
// printf("%lu\n", end - start);
if (it > 0) {
batch_insert_time += end - start;
}
// size = g.get_memory_size();
// printf("size end = %lu\n", size);
start = get_usecs();
// for (const auto &[src, dest] : delete_batch) {
// g.remove(src, dest);
// }
g.remove_batch(delete_batch);
end = get_usecs();
ParallelTools::parallel_for(0, b_size, [&](uint64_t i) {
auto src = std::get<0>(delete_batch[i]);
if (src >= top_bit) {
src ^= top_bit;
}
if (g.contains(src, std::get<1>(delete_batch[i]))) {
std::cout << "have something after deletes\n";
}
});
if (it > 0) {
batch_remove_time += end - start;
}
}
batch_insert_time /= (1000000 * iters);
batch_remove_time /= (1000000 * iters);
// printf("batch_size = %d, time to insert = %f seconds, throughput =
// %4.2e "
// "updates/second\n",
// b_size, batch_insert_time, b_size / (batch_insert_time));
// printf("batch_size = %d, time to remove = %f seconds, throughput =
// %4.2e "
// "updates/second\n",
// b_size, batch_remove_time, b_size / (batch_remove_time));
printf("%lu, %f, %f\n", b_size, batch_insert_time, batch_remove_time);
}
}
return true;
}
int main([[maybe_unused]] int32_t argc, char *argv[]) {
real_graph(argv[1], atoi(argv[2]), atoi(argv[3]));
}