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triangle_v4_cilk.cpp
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triangle_v4_cilk.cpp
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#include <iostream>
#include <cstdlib>
#include <chrono>
#include <vector>
#include <cilk/cilk.h>
extern "C" {
#include "mmio.h"
#include "coo2csc.h"
}
int main(int argc, char** argv){
int ret_code;
MM_typecode matcode;
FILE *f;
int M, N, nnz;
uint32_t i;
std::vector<uint32_t> I, J;
std::vector<double> val;
if (argc < 2)
{
fprintf(stderr, "Usage: %s [martix-market-filename] [0 for binary or 1 for non binary]\n", argv[0]);
exit(1);
}
else
{
if ((f = fopen(argv[1], "r")) == nullptr)
exit(1);
}
if (mm_read_banner(f, &matcode) != 0)
{
printf("Could not process Matrix Market banner.\n");
exit(1);
}
/* This is how one can screen matrix types if their application */
/* only supports a subset of the Matrix Market data types. */
if (mm_is_complex(matcode) && mm_is_matrix(matcode) &&
mm_is_sparse(matcode) )
{
printf("Sorry, this application does not support ");
printf("Market Market type: [%s]\n", mm_typecode_to_str(matcode));
exit(1);
}
/* find out size of sparse matrix .... */
if ((ret_code = mm_read_mtx_crd_size(f, &M, &N, &nnz)) != 0)
exit(1);
I = std::vector<uint32_t>(nnz);
J = std::vector<uint32_t>(nnz);
val = std::vector<double>(nnz);
std::vector<uint32_t> cscRow = std::vector<uint32_t>(2*nnz);
std::vector<uint32_t> cscColumn = std::vector<uint32_t>(N+1);
std::vector<uint32_t> c_values = std::vector<uint32_t>(0);
/* NOTE: when reading in doubles, ANSI C requires the use of the "l" */
/* specifier as in "%lg", "%lf", "%le", otherwise errors will occur */
/* (ANSI C X3.159-1989, Sec. 4.9.6.2, p. 136 lines 13-15) */
/* Replace missing val column with 1s and change the fscanf to match pattern matrices*/
if (!mm_is_pattern(matcode)) {
for (i = 0; i < nnz; i++) {
fscanf(f, "%d %d %lg\n", &I[i], &J[i], &val[i]);
I[i]--; /* adjust from 1-based to 0-based */
J[i]--;
}
} else {
for (i = 0; i < nnz; i++) {
fscanf(f, "%d %d\n", &I[i], &J[i]);
val[i] = 1;
I[i]--; /* adjust from 1-based to 0-based */
J[i]--;
}
}
if (f !=stdin) fclose(f);
if(M != N) {
printf("COO matrix' columns and rows are not the same");
}
// create symmetric values
std::vector<uint32_t> temp1 = std::vector<uint32_t>(I.begin(), I.end());
I.insert(std::end(I), std::begin(J), std::end(J));
J.insert(std::end(J), std::begin(temp1), std::end(temp1));
temp1.clear();
if (I[0] < J[0]) {
coo2csc(&cscRow[0], &cscColumn[0], &I[0], &J[0], 2 * nnz, M, 0);
} else {
coo2csc(&cscRow[0], &cscColumn[0], &J[0], &I[0], 2 * nnz, N, 0);
}
std::vector<int>c3 = std::vector<int>(0);
std::vector<int>ones = std::vector<int>(N, 1);
std::vector<int>result_vector = std::vector<int>(N, 0);
c_values = std::vector<uint32_t>(2*nnz);
auto start = std::chrono::high_resolution_clock::now();
#pragma simd
cilk_for(int i = 0; i < N; i++) {
cilk_for(int j = cscColumn.at(i); j < cscColumn.at(i+1); j++) {
std::vector<uint32_t> k = std::vector<uint32_t>(cscColumn.at(cscRow.at(j)+1) - cscColumn.at(cscRow.at(j)));
std::vector<uint32_t> l = std::vector<uint32_t>(cscColumn.at(i+1) - cscColumn.at(i));
int s;
for(s = 0; s < k.size(); ++s) {
k[s] = cscRow.at(cscColumn.at(cscRow.at(j)) + s);
}
for(s = 0; s < l.size(); ++s) {
l[s] = cscRow.at(cscColumn.at(i) + s);
}
int m = 0;
int n = 0;
int mul_value = 0;
while(m != k.size() && n != l.size()) {
if(k[m] == l[n]) {
++mul_value;
++m;
++n;
} else if(k[m] > l[n]) {
++n;
} else{
++m;
}
}
if(mul_value) {
c_values.at(j) = mul_value;
}
}
}
for(i = 0; i < N; i++) {
for(int j = cscColumn.at(i); j < cscColumn.at(i+1); j++) {
int value = c_values.at(j);
result_vector.at(cscRow.at(j)) += value * ones.at(i);
}
}
for(int res: result_vector){
c3.push_back(res/2);
}
auto stop = std::chrono::high_resolution_clock::now();
std::chrono::duration<double> elapsed = stop - start;
std::cout<<"Took "<< elapsed.count() <<std::endl;
// for(int item: c3){
// std::cout<< item << " ";
// }
std::cout<<std::endl;
return 0;
}