-
Notifications
You must be signed in to change notification settings - Fork 0
/
triangle_v3_cilk.cpp
146 lines (121 loc) · 4.06 KB
/
triangle_v3_cilk.cpp
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
#include <iostream>
#include <cstdlib>
#include <chrono>
#include <cmath>
#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, nz;
// coo matrices
uint i, *I, *J;
double *val, duration;
// csc matrices
uint32_t *csrRow, *csrColumn;
double *csrValue;
int *c3;
if (argc < 2) {
fprintf(stderr, "Usage: %s [martix-market-filename]\n", argv[0]);
exit(1);
} else {
if ((f = fopen(argv[1], "r")) == NULL)
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, &nz)) != 0)
exit(1);
/* reseve memory for matrices */
I = (uint32_t *) malloc(nz * sizeof(uint32_t));
J = (uint32_t *) malloc(nz * sizeof(uint32_t));
val = (double *) malloc(nz * sizeof(double));
/* 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 patter matrices*/
if (!mm_is_pattern(matcode)) {
for (i = 0; i < nz; 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 < nz; 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);
csrRow = (uint32_t *) malloc(nz * sizeof(uint32_t));
csrColumn = (uint32_t *) malloc((N + 1) * sizeof(uint32_t));
c3 = (int *) malloc(N * sizeof(int));
for (i = 0; i < N; ++i) {
c3[i] = 0;
}
try {
if (I[0] < J[0]) {
coo2csc(csrRow, csrColumn, I, J, nz, M, 0);
} else {
coo2csc(csrRow, csrColumn, J, I, nz, N, 0);
}
auto start = std::chrono::high_resolution_clock::now();
int total{};
#pragma simd
cilk_for(int r = 1; r < N; ++r) {
for (int j = csrColumn[r]; j < csrColumn[r + 1]; ++j) {
int row1 = csrRow[j];
int col1 = r;
for (int k = csrColumn[row1]; k < csrColumn[row1 + 1]; ++k) {
int row3 = csrRow[k];
int col3 = row1;
int max, min;
if (row3 > col1) {
max = row3;
min = col1;
} else {
max = col1;
min = row3;
}
for (int l = csrColumn[max]; l < csrColumn[max + 1]; ++l) {
int row2 = csrRow[l];
if (row2 == min) {
total++;
++c3[min];
++c3[max];
++c3[col3];
}
}
}
}
}
auto stop = std::chrono::high_resolution_clock::now();
std::chrono::duration<double> elapsed = stop - start;
std::cout<<"Took "<< elapsed.count() <<std::endl;
} catch (std::exception &e) {
std::cout << "Error" << std::endl;
std::cerr << e.what() << std::endl;
}
free(val);
free(I);
free(J);
return 0;
}