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257 lines (226 loc) · 6.73 KB
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/*
* adjacency matrix
*/
#include <stdio.h>
#include <stdlib.h>
#include <stdint.h>
#include <vector>
#include <cstring>
#include <assert.h>
#include "Graph.hpp"
class AdjacencyMatrix : public Graph {
public:
// data members
uint64_t n; // num vertices
uint32_t* values;
vector<uint32_t> num_neighbors;
// function headings
AdjacencyMatrix(uint32_t init_n);
~AdjacencyMatrix();
uint64_t get_size();
uint64_t get_n();
uint32_t find_value(uint32_t src, uint32_t dest);
vector<uint32_t> sparse_matrix_vector_multiplication(std::vector<uint32_t> const &v);
void print_graph();
void add_node();
void add_edge(uint32_t src, uint32_t dest, uint32_t value);
void add_edge_update(uint32_t src, uint32_t dest, uint32_t value);
// vector<uint32_t> find_neighbors(uint32_t v);
void convert(Graph* g); // convert a graph representation to this graph reprsentation
vector<double> pagerank(std::vector<double> const &node_values);
vector<double> pagerank_pull(std::vector<double> &node_values) {
return pagerank(node_values);
}
vector<int32_t> bfs(int32_t start_node);
pvector<int32_t> parallel_bfs(int32_t start_node, int32_t total_edges, int alpha, int beta) {
printf("not implemented\n");
exit(-1);
}
void add_edge_batch_update(uint32_t *srcs, uint32_t *dests, uint32_t *values, uint32_t edge_count);
vector<tuple<uint32_t, uint32_t, uint32_t> > get_edges() {
uint64_t n = get_n();
vector<tuple<uint32_t, uint32_t, uint32_t>> output;
for(int i = 0; i < n; i++) {
for(int j = 0; j < n; j++) {
if (find_value(i,j) > 0) {
output.push_back(make_tuple(i, j, find_value(i,j)));
}
}
}
return output;
}
uint64_t triangle_count() {
uint64_t total = 0;
for (uint64_t i = 0; i < n; i++) {
for (uint64_t j = 0; j < n; j++) {
if (j > i) break;
for (uint64_t k = 0; k < n; k++) {
if (k > j) break;
if (find_value(i,j) > 0 && find_value(j,k) > 0 && find_value(k,i) > 0) {
total++;
}
}
}
}
return total;
}
};
vector<int32_t> AdjacencyMatrix::bfs(int32_t start_node) {
uint64_t n = get_n();
vector<int32_t> out (n, -1);
queue<uint32_t> next; // queue
next.push(start_node);
out[start_node] = start_node;
while(next.size() > 0) {
uint32_t active = next.front();
next.pop();
assert(out[active] != UINT32_MAX);
for(uint32_t i = 0; i < n; i++) {
if(find_value(active, i) != 0 && out[i] == -1) {
next.push(i);
out[i] = active;
}
}
}
return out;
}
vector<double> AdjacencyMatrix::pagerank(std::vector<double> const &node_values) {
vector<double> output(n, 0);
for(uint32_t i = 0; i < n; i++) {
double contrib = 0;
if (num_neighbors[i] > 0) {
contrib = (node_values[i] / num_neighbors[i]);
}
for(uint32_t j = 0; j < n; j++) {
if(find_value(i, j) != 0) {
output[j] += contrib;
}
}
}
return output;
}
uint64_t AdjacencyMatrix::get_n() {
return n;
}
void AdjacencyMatrix::convert(Graph* g) {
n = g->get_n();
values = (uint32_t*) realloc(values, n * n * sizeof(uint32_t));
for(uint32_t i = 0; i < n; i ++) {
for(uint32_t j = 0; j < n; j++) {
// find_value returns 0 if not found.
add_edge(i, j, g->find_value(i, j));
}
}
}
uint64_t AdjacencyMatrix::get_size() {
return n * n * sizeof(*values) + num_neighbors.capacity()*sizeof(uint32_t);
}
// find value of (src, dest)
uint32_t AdjacencyMatrix::find_value(uint32_t src, uint32_t dest) {
return values[src*n + dest];
}
void AdjacencyMatrix::add_node() {
uint64_t new_size = (n+1) * (n+1);
uint32_t* new_graph = (uint32_t*)malloc(sizeof(uint32_t) * new_size);
/// printf("n: %d\n", n);
// clear the new graph
memset(new_graph, 0, sizeof(uint32_t) * new_size);
// copy old graph into new graph
for(uint32_t i = 0; i < n; i++) {
for(uint32_t j = 0; j < n; j++) {
new_graph[i * ( n + 1 ) + j] = values[i * n + j];
}
}
// update graph with new rep
if(values != NULL) {
free(values);
}
values = new_graph;
n++;
num_neighbors.push_back(0);
}
// src, dest < N
void AdjacencyMatrix::add_edge(uint32_t src, uint32_t dest, uint32_t value) {
values[src*n + dest] = value;
num_neighbors[src]++;
}
void AdjacencyMatrix::add_edge_update(uint32_t src, uint32_t dest, uint32_t value) {
if (values[src*n + dest] == 0) {
num_neighbors[src]++;
}
values[src*n + dest] = value;
}
void AdjacencyMatrix::add_edge_batch_update(uint32_t *srcs, uint32_t *dests, uint32_t *values, uint32_t edge_count) {
cilk_for(int i = 0; i < edge_count; i++) {
add_edge_update(srcs[i], dests[i], values[i]);
}
}
void AdjacencyMatrix::print_graph() {
for(uint32_t i = 0; i < n; i++) {
for(uint32_t j = 0; j < n; j++) {
printf("%03d ", values[i*n + j]);
}
printf("\n");
}
}
// constructor
AdjacencyMatrix::AdjacencyMatrix(uint32_t init_n) {
n = (uint64_t) init_n;
uint64_t new_size = n * n;
//printf("new_size: %lu\n", new_size);
values = (uint32_t*)malloc(sizeof(uint32_t) * new_size);
assert(values != NULL);
memset(values, 0, sizeof(uint32_t) * new_size);
for (uint32_t i = 0; i < init_n; i++) {
num_neighbors.push_back(0);
}
}
AdjacencyMatrix::~AdjacencyMatrix() {
free(values);
}
/*
// find all neighbors of a vertex v
std::vector<uint32_t> AdjacencyMatrix::find_neighbors(uint32_t v) {
std::vector<uint32_t> result;
for(int i = 0; i < n; i++) {
if(values[v*n + i] != 0) {
result.push_back(i);
}
}
return result;
}
*/
std::vector<uint32_t> AdjacencyMatrix::sparse_matrix_vector_multiplication(std::vector<uint32_t> const &v) {
std::vector<uint32_t> result;
for(uint32_t i = 0; i < n; i++) {
uint32_t temp = 0;
for(uint32_t j = 0; j < n; j++) {
temp += values[i*n + j] * v[j];
}
result.push_back(temp);
}
return result;
}
/*
int main() {
// graph_t g;
// setup(&g);
AdjacencyMatrix g = AdjacencyMatrix(5);
while (1) {
uint32_t src, dest, value;
scanf("%d %d %d", &src, &dest, &value);
// printf("src:%d, dst: %d, val:%d\n", src, dest, value);
g.add_edge(src, dest, value);
g.print_graph();
std::vector<uint32_t> temp;
temp.push_back(10);
temp.push_back(1);
temp.push_back(0);
temp.push_back(0);
temp.push_back(10);
std::vector<uint32_t> res = g.sparse_matrix_vector_multiplication(temp);
for(int i = 0; i < 5; i++) { printf("%d ", res[i]); }
printf("\n");
}
}
*/