-
Notifications
You must be signed in to change notification settings - Fork 6
/
Copy pathmatgen.hpp
247 lines (230 loc) · 5.49 KB
/
matgen.hpp
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
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
#ifndef MATGEN_HPP
#define MATGEN_HPP
// functions to initialize matrix.
#include "panel.hpp"
#include "hpl_rand.hpp"
template <typename F>
void pmatgen(Matgen<F> const& mg, Panels<F> &p){
int const bs = p.b;
size_t const lda = p.lda;
int const nprow = p.nprow;
int const npcol = p.npcol;
for(int pj=0; pj<npcol; ++pj)
for(int pi=0; pi<nprow; ++pi){
F *pp = p(pi, pj);
const int i = bs*(p.i1 + pi*p.istride);
const int j = bs*(p.j1 + pj*p.jstride);
fill_one_panel_with_rand(mg.n, i, j, bs, bs, pp, lda, mg.seed, true);
}
}
template <typename F>
void pmatgen(HMGen<F> const& mg, Panels<F> &p){
size_t const lda = p.lda;
int const nprow = p.nprow;
int const npcol = p.npcol;
int const b = p.b;
int const i1 = p.i1;
int const j1 = p.j1;
int const istride = p.istride;
int const jstride = p.jstride;
F const alpha = mg.alpha;
F const beta = mg.beta;
F const ab = alpha*beta;
F const done = 1;
#pragma omp parallel for collapse(2)
for(int pj=0; pj<npcol; ++pj){
for(int j=0; j<b; ++j){
int jstart = b*(j1 + pj*jstride);
F const fpjj = jstart + j;
for(int pi=0; pi<nprow; ++pi){
int istart = b*(i1 + pi*istride);
F* to = p(pi, pj);
if(pi<pj){
for(int i=0; i<b; ++i){
// assuming no diag.
F aij = beta + ab * (istart + i);
to[j*lda + i] = aij;
}
}
else if(pi>pj){
for(int i=0; i<b; ++i){
// assuming no diag.
F aij = alpha + ab * fpjj;
to[j*lda + i] = aij;
}
}
else {
for(int i=0; i<j; ++i){
// assuming no diag.
F aij = beta + ab * (jstart + i);
to[j*lda + i] = aij;
}
F aij = done + ab * fpjj;
to[j*lda + j] = aij;
for(int i=j+1; i<b; ++i){
// assuming no diag.
F aij = alpha + ab * fpjj;
to[j*lda + i] = aij;
}
}
}
}
}
}
template <typename F>
void pmatgen0(Panels<F> &p){
// initialize with zero
int const bs = p.b;
size_t const lda = p.lda;
int const nprow = p.nprow;
int const npcol = p.npcol;
F const dzero = static_cast<F>(0);
if(p.is_tile){
#pragma omp parallel for collapse(2)
for(int pj=0; pj<npcol; ++pj)
for(int pi=0; pi<nprow; ++pi){
F *pp = p(pi, pj);
for(int j=0; j<bs; ++j)
for(int i=0; i<bs; ++i)
pp[j*lda + i] = dzero;
}
}
else{
F* ptr = p(0, 0);
size_t size = static_cast<size_t>(p.ldpp) * npcol;
#pragma omp parallel for simd
for(size_t i=0; i<size; ++i) ptr[i] = dzero;
}
}
template <typename F>
void pmatl1est(Matgen<F> const& mg, Panels<F> &p){
// approximation of the decomposition
int const bs = p.b;
size_t const lda = p.lda;
int const nprow = p.nprow;
int const npcol = p.npcol;
#pragma omp parallel for
for(int pj=0; pj<npcol; ++pj){
double buf[bs];
const int j = bs*(p.j1 + pj*p.jstride);
for(int jj=0; jj<bs; ++jj) buf[jj] = 1./calc_diag(j+jj, mg.n, mg.seed);
for(int pi=0; pi<nprow; ++pi){
F *pp = p(pi, pj);
const int i = bs*(p.i1 + pi*p.istride);
if(i<j) continue;
if(i==j){
for(int jj=0; jj<bs; ++jj) {
F d = buf[jj];
for(int ii=0; ii<bs; ++ii){
if(i+ii>j+jj) {
pp[jj*lda+ii] *= d;
}
}
}
}
else{
for(int jj=0; jj<bs; ++jj) {
F d = buf[jj];
for(int ii=0; ii<bs; ++ii){
pp[jj*lda+ii] *= d;
}
}
}
}
}
}
template <typename F>
void pmatl1est(HMGen<F> const& mg, Panels<F> &p){
// approximation of the decomposition
int const bs = p.b;
size_t const lda = p.lda;
int const nprow = p.nprow;
int const npcol = p.npcol;
F const alpha = mg.alpha;
F const beta= mg.beta;
F const done = 1;
#pragma omp parallel for collapse(2) schedule(dynamic)
for(int pj=0; pj<npcol; ++pj)
for(int pi=0; pi<nprow; ++pi){
F *pp = p(pi, pj);
const int i = bs*(p.i1 + pi*p.istride);
const int j = bs*(p.j1 + pj*p.jstride);
if(i<j){
for(int jj=0; jj<bs; ++jj) {
for(int ii=0; ii<bs; ++ii){
pp[jj*lda+ii] = beta;
}
}
}
else if(i>j){
for(int jj=0; jj<bs; ++jj) {
for(int ii=0; ii<bs; ++ii){
pp[jj*lda+ii] = alpha;
}
}
}
else {
for(int jj=0; jj<bs; ++jj) {
for(int ii=0; ii<jj; ++ii){
pp[jj*lda+ii] = beta;
}
pp[jj*lda+jj] = done;
for(int ii=jj+1; ii<bs; ++ii){
pp[jj*lda+ii] = alpha;
}
}
}
}
}
template<typename F, typename FPanel>
void pcolvgen (Matgen<F> const& mg, Panels<FPanel>const & p, double* dx){
int nprow = p.nprow;
int b = p.b;
int i1 = p.i1;
int j1 = p.j1;
int istride = p.istride;
int jstride = p.jstride;
for(int i=0; i<nprow; ++i){
int ipos = i1 + i*istride;
if(ipos%jstride == j1){
fill_one_panel_with_rand(mg.n, b*ipos, mg.n, b, 1, dx+b*i, 1, mg.seed, false);
}
}
}
template<typename F, typename FPanel>
void pdiaggen (Matgen<F> const& mg, Panels<FPanel>const & p, double* dx){
int nprow = p.nprow;
int b = p.b;
int i1 = p.i1;
int j1 = p.j1;
int istride = p.istride;
int jstride = p.jstride;
for(int i=0; i<nprow; ++i){
int ipos = i1 + i*istride;
if(ipos%jstride == j1){
#pragma omp parallel for
for(int k=0; k<b; ++k)
dx[b*i+k] = calc_diag(b*ipos+k, mg.n, mg.seed);
}
}
}
template<typename F, typename FPanel>
void pdiaggen (HMGen<F> const& mg, Panels<FPanel>const & p, double* dx){
int nprow = p.nprow;
int b = p.b;
int i1 = p.i1;
int j1 = p.j1;
int istride = p.istride;
int jstride = p.jstride;
F const ab = mg.alpha * mg.beta;
F const done = 1;
for(int i=0; i<nprow; ++i){
int ipos = i1 + i*istride;
if(ipos%jstride == j1){
#pragma omp parallel for
for(int k=0; k<b; ++k)
dx[b*i+k] = done + ab * (b*ipos+k);
}
}
}
#endif