-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathdriver_cusp_all.cu
174 lines (138 loc) · 3.96 KB
/
driver_cusp_all.cu
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
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
#include <iostream>
#include <cstdio>
#include <string>
#include <stdlib.h>
#include <cstring>
#include <cmath>
#include <src/timer.h>
#include <algorithm>
#include <cusp/io/matrix_market.h>
#include <cusp/ell_matrix.h>
#include <cusp/hyb_matrix.h>
#include <cusp/coo_matrix.h>
#include <cusp/csr_matrix.h>
#include <cusp/multiply.h>
#include <cusp/blas/blas.h>
using std::string;
using std::cout;
using std::cerr;
using std::endl;
typedef double REAL;
typedef typename cusp::coo_matrix<int, REAL, cusp::device_memory> CooMatrix;
typedef typename cusp::csr_matrix<int, REAL, cusp::device_memory> CsrMatrix;
typedef typename cusp::csr_matrix<int, REAL, cusp::host_memory> CsrMatrixH;
typedef typename cusp::ell_matrix<int, REAL, cusp::device_memory> EllMatrix;
typedef typename cusp::hyb_matrix<int, REAL, cusp::device_memory> HybMatrix;
typedef typename cusp::array1d<REAL, cusp::device_memory> Vector;
typedef typename cusp::array1d<REAL, cusp::host_memory> VectorH;
int main (int argc, char **argv)
{
int N, NNZ, NNZ2;
if (argc < 2) return 1;
string mat_file = "/home/ali/CUDA_project/reordering/matrices/M_invD_";
string mat_file2 = "/home/ali/CUDA_project/reordering/matrices/D_T_";
string vec_file = "/home/ali/CUDA_project/reordering/matrices/gamma_";
mat_file.append(argv[1]);
mat_file.append(".mtx");
mat_file2.append(argv[1]);
mat_file2.append(".mtx");
vec_file.append(argv[1]);
vec_file.append(".mtx");
cout << argv[1] << endl;
CsrMatrixH M_invD_h;
CsrMatrixH D_T_h;
cusp::io::read_matrix_market_file(M_invD_h, mat_file);
cusp::io::read_matrix_market_file(D_T_h, mat_file2);
N = M_invD_h.num_rows;
NNZ = M_invD_h.num_entries;
NNZ2 = D_T_h.num_entries;
Vector gamma;
cusp::io::read_matrix_market_file(gamma, vec_file);
Vector t1(N);
Vector t2(N);
{
CsrMatrix M_invD, D_T;
M_invD = M_invD_h;
D_T = D_T_h;
CPUTimer loc_timer, timer2;
double elapsed = 0.0;
int counter = 10 - 1;
loc_timer.Start();
for (int i = 0; i < 10; i++) {
if (i == 0)
timer2.Start();
cusp::multiply(M_invD, gamma, t1);
cusp::multiply(D_T, t1, t2);
cudaDeviceSynchronize();
if (i == 0)
timer2.Stop();
}
loc_timer.Stop();
elapsed = (loc_timer.getElapsed() - timer2.getElapsed())/ counter;
cout << "CUSP CSR: " << elapsed << " " << 2.0 * (NNZ + NNZ2) / elapsed << endl;
}
{
CooMatrix M_invD, D_T;
M_invD = M_invD_h;
D_T = D_T_h;
CPUTimer loc_timer, timer2;
double elapsed = 0.0;
int counter = 10 - 1;
loc_timer.Start();
for (int i = 0; i < 10; i++) {
if (i == 0)
timer2.Start();
cusp::multiply(M_invD, gamma, t1);
cusp::multiply(D_T, t1, t2);
cudaDeviceSynchronize();
if (i == 0)
timer2.Stop();
}
loc_timer.Stop();
elapsed = (loc_timer.getElapsed() - timer2.getElapsed())/ counter;
cout << "CUSP COO: " << elapsed << " " << 2.0 * (NNZ + NNZ2) / elapsed << endl;
}
{
EllMatrix M_invD, D_T;
M_invD = M_invD_h;
D_T = D_T_h;
CPUTimer loc_timer, timer2;
double elapsed = 0.0;
int counter = 10 - 1;
loc_timer.Start();
for (int i = 0; i < 10; i++) {
if (i == 0)
timer2.Start();
cusp::multiply(M_invD, gamma, t1);
cusp::multiply(D_T, t1, t2);
cudaDeviceSynchronize();
if (i == 0)
timer2.Stop();
}
loc_timer.Stop();
elapsed = (loc_timer.getElapsed() - timer2.getElapsed())/ counter;
cout << "CUSP ELL: " << elapsed << " " << 2.0 * (NNZ + NNZ2) / elapsed << endl;
}
{
HybMatrix M_invD, D_T;
M_invD = M_invD_h;
D_T = D_T_h;
CPUTimer loc_timer, timer2;
double elapsed = 0.0;
int counter = 10 - 1;
loc_timer.Start();
for (int i = 0; i < 10; i++) {
if (i == 0)
timer2.Start();
cusp::multiply(M_invD, gamma, t1);
cusp::multiply(D_T, t1, t2);
cudaDeviceSynchronize();
if (i == 0)
timer2.Stop();
}
loc_timer.Stop();
elapsed = (loc_timer.getElapsed() - timer2.getElapsed())/ counter;
cout << "CUSP HYB: " << elapsed << " " << 2.0 * (NNZ + NNZ2) / elapsed << endl;
}
return 0;
}