-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathopt5d.cpp
240 lines (214 loc) · 6.79 KB
/
opt5d.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
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
#include <bits/stdc++.h>
#include <immintrin.h>
#include <iostream>
#include <x86intrin.h>
#include "mpi.h"
#include "omp.h"
#include "solver.h"
#define OMP_THREADS 64
#define MAXN 110
#define MAXK 10
#define K 5
#define int64_t long long
// #define BUFF 1000
#define INDEX(x, y, n) ((x) * (n) + (y))
using namespace std;
inline double calc(double x) { return x * x; }
double dist[MAXN][MAXN];
double* table[MAXN][MAXN];
int64_t C[2000][MAXK];
void initCombs();
void initTable(int n);
void initDist(int n, int dim, double* coord);
void getKthPivot(int n, int k, int64_t cid, int* pivots);
// dis[n][n]: stores original pointwise distance
void pivot_solver_common(int n, int dim, double* coord, // ND layout
double* maxVal, int* maxComb, double* minVal, int* minComb, int nprocs, int rank) {
initDist(n, dim, coord);
initCombs();
initTable(n);
// malloc pools for collection
double* maxValAll = (double*)malloc(sizeof(double) * BUFF * OMP_THREADS);
int* maxCombAll = (int*)malloc(sizeof(int) * BUFF * OMP_THREADS * K);
double* minValAll = (double*)malloc(sizeof(double) * BUFF * OMP_THREADS);
int* minCombAll = (int*)malloc(sizeof(int) * BUFF * OMP_THREADS * K);
#pragma omp parallel num_threads(OMP_THREADS)
{
const int nthr = OMP_THREADS * nprocs;
const int id = omp_get_thread_num() + OMP_THREADS * rank;
const int thrid = omp_get_thread_num();
double* maxVal = maxValAll + BUFF * thrid;
int* maxComb = maxCombAll + BUFF * thrid * K;
double* minVal = minValAll + BUFF * thrid;
int* minComb = minCombAll + BUFF * thrid * K;
memset(maxVal, 0, sizeof(double) * BUFF);
memset(minVal, 0x7f, sizeof(double) * BUFF);
double* acc = (double*)aligned_alloc(32, sizeof(double) * n * (n - 1) / 2);
const int k_enumed = K - 1;
int comb[20];
int64_t njobs = C[n - 1][k_enumed];
const int veclen = n * (n - 1) / 2;
// collect
int64_t load = 0, _load = 0;
for (int64_t iter = 0; iter < njobs; iter += nthr) {
int64_t jobid = iter + (id + (iter / nthr)) % nthr;
if (jobid >= njobs) break;
getKthPivot(n - 1, k_enumed, jobid, comb);
double* src = table[comb[0]][comb[1]]; // comb[0] < comb[1]
double* crd = dist[comb[2]], * _crd = dist[comb[3]];
_load++;
int cnt = 0;
for (int i = 0; i < n; i++)
#pragma unroll
for (int j = i + 1; j < n; j++, cnt++)
acc[cnt] = max(src[cnt], max(fabs(crd[i] - crd[j]), fabs(_crd[i] - _crd[j])));
// enum final dim
for (int x = comb[3] + 1; x < n; x++) {
load++;
double ans = 0;
double* _src = table[x][x];
{
int i = 0;
__m256d sum = _mm256_setzero_pd();
#pragma unroll
for (i = 0; i + 3 < veclen; i += 4) {
__m256d opa = _mm256_load_pd(acc + i);
__m256d opb = _mm256_load_pd(_src + i);
opa = _mm256_max_pd(opa, opb);
sum = _mm256_add_pd(opa, sum);
}
double str[4];
_mm256_storeu_pd(str, sum);
ans = str[0] + str[1] + str[2] + str[3];
for (; i < veclen; i++) ans += max(acc[i], _src[i]);
ans *= 2;
}
// update
if (ans > maxVal[0]) {
int j = 1;
for (j = 1; j < BUFF; j++) {
if (ans < maxVal[j]) break;
else {
maxVal[j - 1] = maxVal[j];
for (int u = 0; u < K; u++)
maxComb[K * (j - 1) + u] = maxComb[K * j + u];
}
}
j--;
maxVal[j] = ans;
for (int u = 0; u < k_enumed; u++)
maxComb[K * j + u] = comb[u];
maxComb[K * j + K - 1] = x;
}
if (ans < minVal[0]) {
int j = 1;
for (j = 1; j < BUFF; j++) {
if (ans > minVal[j]) break;
else {
minVal[j - 1] = minVal[j];
for (int u = 0; u < K; u++)
minComb[K * (j - 1) + u] = minComb[K * j + u];
}
}
j--;
minVal[j] = ans;
for (int u = 0; u < k_enumed; u++)
minComb[K * j + u] = comb[u];
minComb[K * j + K - 1] = x;
}
}
}
/*
if (id <= 20)
printf("[%d]: %lld %lld\n", id, load, _load);
*/
}
// merge
static int ptr[OMP_THREADS + 1];
for (int i = 0; i < OMP_THREADS; i++) ptr[i] = i * BUFF + BUFF - 1;
for (int i = 0; i < BUFF; i++) {
int id = 0;
for (int j = 0; j < OMP_THREADS; j++)
if (maxValAll[ptr[j]] > maxValAll[ptr[id]]) id = j;
int p = ptr[id];
ptr[id] --;
maxVal[i] = maxValAll[p];
for (int u = 0; u < K; u++)
maxComb[i * K + u] = maxCombAll[p * K + u];
}
for (int i = 0; i < OMP_THREADS; i++) ptr[i] = i * BUFF + BUFF - 1;
for (int i = 0; i < BUFF; i++) {
int id = 0;
for (int j = 0; j < OMP_THREADS; j++)
if (minValAll[ptr[j]] < minValAll[ptr[id]]) id = j;
int p = ptr[id];
ptr[id] --;
minVal[i] = minValAll[p];
for (int u = 0; u < K; u++)
minComb[i * K + u] = minCombAll[p * K + u];
}
free(maxValAll);
free(maxCombAll);
free(minValAll);
free(minCombAll);
}
// build C[][], ignore overflow
void initCombs() {
memset(C, 0, sizeof C);
C[0][0] = 1;
for (int i = 1; i < 1000; i++) {
C[i][0] = 1;
for (int j = 1; j < MAXK; j++)
C[i][j] = C[i - 1][j - 1] + C[i - 1][j];
}
}
// build a dist table for all combination of pivots of size 2
void initTable(int n) {
int64_t njobs = C[n + 1][2]; // allow pivot_1 == pivot_2
int ps = n * (n - 1) / 2;
ps = ps / 4 * 4 + 4;
double* pool = (double*)aligned_alloc(32, njobs * ps * sizeof(double));
#pragma omp parallel num_threads(OMP_THREADS)
{
int rec[2];
const int id = omp_get_thread_num();
for (int64_t jobid = id; jobid < njobs; jobid += OMP_THREADS) {
getKthPivot(n + 1, 2, jobid, rec);
int u = rec[0], v = rec[1] - 1;
// use u,v as pivot
double* vec = pool + jobid * ps;
table[u][v] = vec;
int cnt = 0;
for (int i = 0; i < n; i++)
for (int j = i + 1; j < n; j++) {
vec[cnt++] = max(
fabs(dist[u][i] - dist[u][j]),
fabs(dist[v][i] - dist[v][j]));
}
}
}
}
void initDist(int n, int dim, double* coord) {
for (int i = 0; i < n; i++)
for (int j = i; j < n; j++) {
double tmp = 0;
for (int k = 0; k < dim; k++)
tmp += calc(coord[INDEX(i, k, dim)] - coord[INDEX(j, k, dim)]);
dist[i][j] = dist[j][i] = sqrt(tmp);
}
}
void getKthPivot(int n, int k, int64_t cid, int* pivots) {
// the cid-th combination for `n choose k`
int last_pivot = -1;
for (int i = k - 1; i >= 0; i--) {
int j = last_pivot + 1;
cid -= C[n - 1 - j][i];
while (cid >= 0) { // check the case where cid == 0
++j;
cid -= C[n - 1 - j][i];
}
cid += C[n - 1 - j][i];
pivots[k - 1 - i] = j;
last_pivot = j;
}
}