vector_dist_gpu_unit_tests.cu 18.9 KB
Newer Older
incardon's avatar
incardon committed
1
2
3
4
5

#define BOOST_TEST_DYN_LINK
#include <boost/test/unit_test.hpp>
#include "VCluster/VCluster.hpp"
#include <Vector/vector_dist.hpp>
6
#include "Vector/tests/vector_dist_util_unit_tests.hpp"
incardon's avatar
incardon committed
7

incardon's avatar
incardon committed
8
9
#define SUB_UNIT_FACTOR 1024

incardon's avatar
incardon committed
10
11
12
13
14
15
16
17
18
19
20
21
template<unsigned int dim , typename vector_dist_type>
__global__ void move_parts_gpu_test(vector_dist_type vd)
{
	auto p = GET_PARTICLE(vd);

#pragma unroll
	for (int i = 0 ; i < dim ; i++)
	{
		vd.getPos(p)[i] += 0.05;
	}
}

incardon's avatar
incardon committed
22
23
24
25
26
27
28
29
BOOST_AUTO_TEST_SUITE( vector_dist_gpu_test )

void print_test(std::string test, size_t sz)
{
	if (create_vcluster().getProcessUnitID() == 0)
		std::cout << test << " " << sz << "\n";
}

incardon's avatar
incardon committed
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

__global__  void initialize_props(vector_dist_ker<3, float, aggregate<float, float [3], float[3]>> vd)
{
	auto p = GET_PARTICLE(vd);

	vd.template getProp<0>(p) = vd.getPos(p)[0] + vd.getPos(p)[1] + vd.getPos(p)[2];

	vd.template getProp<1>(p)[0] = vd.getPos(p)[0] + vd.getPos(p)[1];
	vd.template getProp<1>(p)[1] = vd.getPos(p)[0] + vd.getPos(p)[2];
	vd.template getProp<1>(p)[2] = vd.getPos(p)[1] + vd.getPos(p)[2];
}

template<typename CellList_type>
__global__  void calculate_force(vector_dist_ker<3, float, aggregate<float, float[3], float [3]>> vd,
		                         vector_dist_ker<3, float, aggregate<float, float[3], float [3]>> vd_sort,
		                         CellList_type cl)
{
	auto p = GET_PARTICLE(vd);

	Point<3,float> xp = vd.getPos(p);

    auto it = cl.getNNIterator(cl.getCell(xp));

    Point<3,float> force1({0.0,0.0,0.0});
    Point<3,float> force2({0.0,0.0,0.0});

    while (it.isNext())
    {
incardon's avatar
incardon committed
58
59
    	auto q1 = it.get_sort();
    	auto q2 = it.get();
incardon's avatar
incardon committed
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

    	if (q2 == p) {++it; continue;}

    	Point<3,float> xq_1 = vd_sort.getPos(q1);
    	Point<3,float> xq_2 = vd.getPos(q2);

    	Point<3,float> r1 = xq_1 - xp;
    	Point<3,float> r2 = xq_2 - xp;

    	// Normalize

    	r1 /= r1.norm();
    	r2 /= r2.norm();

    	force1 += vd_sort.template getProp<0>(q1)*r1;
    	force2 += vd.template getProp<0>(q2)*r2;

    	++it;
    }

    vd.template getProp<1>(p)[0] = force1.get(0);
    vd.template getProp<1>(p)[1] = force1.get(1);
    vd.template getProp<1>(p)[2] = force1.get(2);

    vd.template getProp<2>(p)[0] = force2.get(0);
    vd.template getProp<2>(p)[1] = force2.get(1);
    vd.template getProp<2>(p)[2] = force2.get(2);
}

89
90
template<typename CellList_type>
__global__  void calculate_force_full_sort(vector_dist_ker<3, float, aggregate<float, float[3], float [3]>> vd,
incardon's avatar
incardon committed
91
		                         	 	   CellList_type cl, int rank)
92
{
incardon's avatar
incardon committed
93
94
	unsigned int p;
	GET_PARTICLE_SORT(p,cl);
incardon's avatar
incardon committed
95

96
97
98
99
100
101
102
103
	Point<3,float> xp = vd.getPos(p);

    auto it = cl.getNNIterator(cl.getCell(xp));

    Point<3,float> force1({0.0,0.0,0.0});

    while (it.isNext())
    {
incardon's avatar
incardon committed
104
    	auto q1 = it.get_sort();
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

    	if (q1 == p) {++it; continue;}

    	Point<3,float> xq_1 = vd.getPos(q1);

    	Point<3,float> r1 = xq_1 - xp;

    	// Normalize

    	r1 /= r1.norm();

    	force1 += vd.template getProp<0>(q1)*r1;

    	++it;
    }

    vd.template getProp<1>(p)[0] = force1.get(0);
    vd.template getProp<1>(p)[1] = force1.get(1);
    vd.template getProp<1>(p)[2] = force1.get(2);
}

template<typename CellList_type, typename vector_type>
bool check_force(CellList_type & NN_cpu, vector_type & vd)
{
	auto it6 = vd.getDomainIterator();

	bool match = true;

	while (it6.isNext())
	{
		auto p = it6.get();

		Point<3,float> xp = vd.getPos(p);

		// Calculate on CPU

		Point<3,float> force({0.0,0.0,0.0});

		auto NNc = NN_cpu.getNNIterator(NN_cpu.getCell(xp));

		while (NNc.isNext())
		{
			auto q = NNc.get();

	    	if (q == p.getKey()) {++NNc; continue;}

	    	Point<3,float> xq_2 = vd.getPos(q);
	    	Point<3,float> r2 = xq_2 - xp;

	    	// Normalize

incardon's avatar
incardon committed
156
157
158
159
160
161
	    	if (r2.norm() == 0)
	    	{
	    		int debug = 0;
	    		debug++;
	    	}

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
248
249
250
251
252
253
254
255
256
257
258
259
	    	r2 /= r2.norm();
	    	force += vd.template getProp<0>(q)*r2;

			++NNc;
		}

		match &= fabs(vd.template getProp<1>(p)[0] - vd.template getProp<2>(p)[0]) < 0.0001;
		match &= fabs(vd.template getProp<1>(p)[1] - vd.template getProp<2>(p)[1]) < 0.0001;
		match &= fabs(vd.template getProp<1>(p)[2] - vd.template getProp<2>(p)[2]) < 0.0001;

		match &= fabs(vd.template getProp<1>(p)[0] - force.get(0)) < 0.0001;
		match &= fabs(vd.template getProp<1>(p)[1] - force.get(1)) < 0.0001;
		match &= fabs(vd.template getProp<1>(p)[2] - force.get(2)) < 0.0001;

		++it6;
	}

	return match;
}

BOOST_AUTO_TEST_CASE( vector_dist_gpu_ghost_get )
{
	auto & v_cl = create_vcluster();

	if (v_cl.size() > 16)
	{return;}

	Box<3,float> domain({0.0,0.0,0.0},{1.0,1.0,1.0});

	// set the ghost based on the radius cut off (make just a little bit smaller than the spacing)
	Ghost<3,float> g(0.1);

	// Boundary conditions
	size_t bc[3]={PERIODIC,PERIODIC,PERIODIC};

	vector_dist_gpu<3,float,aggregate<float,float[3],float[3]>> vd(1000,domain,bc,g);

	auto it = vd.getDomainIterator();

	while (it.isNext())
	{
		auto p = it.get();

		vd.getPos(p)[0] = (float)rand() / RAND_MAX;
		vd.getPos(p)[1] = (float)rand() / RAND_MAX;
		vd.getPos(p)[2] = (float)rand() / RAND_MAX;

		vd.template getProp<0>(p) = vd.getPos(p)[0] + vd.getPos(p)[1] + vd.getPos(p)[2];

		vd.template getProp<1>(p)[0] = vd.getPos(p)[0] + vd.getPos(p)[1];
		vd.template getProp<1>(p)[1] = vd.getPos(p)[0] + vd.getPos(p)[2];
		vd.template getProp<1>(p)[2] = vd.getPos(p)[1] + vd.getPos(p)[2];

		vd.template getProp<2>(p)[0] = vd.getPos(p)[0] + 3.0*vd.getPos(p)[1];
		vd.template getProp<2>(p)[1] = vd.getPos(p)[0] + 3.0*vd.getPos(p)[2];
		vd.template getProp<2>(p)[2] = vd.getPos(p)[1] + 3.0*vd.getPos(p)[2];


		++it;
	}

	// Ok we redistribute the particles (CPU based)
	vd.map();

	vd.template ghost_get<0,1,2>();

	// Now we check the the ghost contain the correct information

	bool check = true;

	auto itg = vd.getDomainAndGhostIterator();

	while (itg.isNext())
	{
		auto p = itg.get();

		check &= (vd.template getProp<0>(p) == vd.getPos(p)[0] + vd.getPos(p)[1] + vd.getPos(p)[2]);

		check &= (vd.template getProp<1>(p)[0] == vd.getPos(p)[0] + vd.getPos(p)[1]);
		check &= (vd.template getProp<1>(p)[1] == vd.getPos(p)[0] + vd.getPos(p)[2]);
		check &= (vd.template getProp<1>(p)[2] == vd.getPos(p)[1] + vd.getPos(p)[2]);

		check &= (vd.template getProp<2>(p)[0] == vd.getPos(p)[0] + 3.0*vd.getPos(p)[1]);
		check &= (vd.template getProp<2>(p)[1] == vd.getPos(p)[0] + 3.0*vd.getPos(p)[2]);
		check &= (vd.template getProp<2>(p)[2] == vd.getPos(p)[1] + 3.0*vd.getPos(p)[2]);

		++itg;
	}

	size_t tot_s = vd.size_local_with_ghost();

	v_cl.sum(tot_s);
	v_cl.execute();

	// We check that we check something
	BOOST_REQUIRE(tot_s > 1000);
}

incardon's avatar
incardon committed
260
261
262
263
264
265
266
267
268
269
270
271
template<typename vector_type, typename CellList_type, typename CellList_type_cpu>
void check_cell_list_cpu_and_gpu(vector_type & vd, CellList_type & NN, CellList_type_cpu & NN_cpu)
{
	auto it5 = vd.getDomainIteratorGPU();

	calculate_force<decltype(NN.toKernel())><<<it5.wthr,it5.thr>>>(vd.toKernel(),vd.toKernel_sorted(),NN.toKernel());

	vd.template deviceToHostProp<1,2>();

	bool test = check_force(NN_cpu,vd);
	BOOST_REQUIRE_EQUAL(test,true);

incardon's avatar
incardon committed
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
	// We reset the property 1 on device

	auto rst = vd.getDomainIterator();

	while (rst.isNext())
	{
		auto p = rst.get();

		vd.template getProp<1>(p)[0] = 0.0;
		vd.template getProp<1>(p)[1] = 0.0;
		vd.template getProp<1>(p)[2] = 0.0;

		++rst;
	}

	vd.template hostToDeviceProp<1>();

incardon's avatar
incardon committed
289
290
	// We do exactly the same test as before, but now we completely use the sorted version

incardon's avatar
incardon committed
291
	calculate_force_full_sort<decltype(NN.toKernel())><<<it5.wthr,it5.thr>>>(vd.toKernel_sorted(),NN.toKernel(),create_vcluster().rank());
incardon's avatar
incardon committed
292

incardon's avatar
incardon committed
293
	vd.template merge_sort<1>(NN);
incardon's avatar
incardon committed
294
295
296
297
298
299
	vd.template deviceToHostProp<1>();

	test = check_force(NN_cpu,vd);
	BOOST_REQUIRE_EQUAL(test,true);
}

incardon's avatar
incardon committed
300
301
BOOST_AUTO_TEST_CASE( vector_dist_gpu_test)
{
incardon's avatar
incardon committed
302
303
304
305
306
	auto & v_cl = create_vcluster();

	if (v_cl.size() > 16)
	{return;}

incardon's avatar
incardon committed
307
308
309
	Box<3,float> domain({0.0,0.0,0.0},{1.0,1.0,1.0});

	// set the ghost based on the radius cut off (make just a little bit smaller than the spacing)
incardon's avatar
incardon committed
310
	Ghost<3,float> g(0.1);
incardon's avatar
incardon committed
311
312
313
314

	// Boundary conditions
	size_t bc[3]={NON_PERIODIC,NON_PERIODIC,NON_PERIODIC};

incardon's avatar
incardon committed
315
	vector_dist_gpu<3,float,aggregate<float,float[3],float[3]>> vd(10000,domain,bc,g);
incardon's avatar
incardon committed
316

incardon's avatar
incardon committed
317
318
	srand(55067*create_vcluster().rank());

incardon's avatar
incardon committed
319
320
321
322
323
324
	auto it = vd.getDomainIterator();

	while (it.isNext())
	{
		auto p = it.get();

incardon's avatar
incardon committed
325
326
327
328
329
330
331
332
333
		int x = rand();
		int y = rand();
		int z = rand();

		vd.getPos(p)[0] = (float)x / RAND_MAX;
		vd.getPos(p)[1] = (float)y / RAND_MAX;
		vd.getPos(p)[2] = (float)z / RAND_MAX;

		Point<3,float> xp = vd.getPos(p);
incardon's avatar
incardon committed
334
335
336
337

		++it;
	}

338
	// Ok we redistribute the particles (CPU based)
incardon's avatar
incardon committed
339
	vd.map();
incardon's avatar
incardon committed
340
341
342
343
344
345

	size_t size_l = vd.size_local();

	v_cl.sum(size_l);
	v_cl.execute();

incardon's avatar
incardon committed
346
	BOOST_REQUIRE_EQUAL(size_l,10000);
incardon's avatar
incardon committed
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370


	auto & ct = vd.getDecomposition();

	bool noOut = true;
	size_t cnt = 0;

	auto it2 = vd.getDomainIterator();

	while (it2.isNext())
	{
		auto p = it2.get();

		noOut &= ct.isLocal(vd.getPos(p));

		cnt++;
		++it2;
	}

	BOOST_REQUIRE_EQUAL(noOut,true);
	BOOST_REQUIRE_EQUAL(cnt,vd.size_local());

	// now we offload all the properties

incardon's avatar
incardon committed
371
372
	auto it3 = vd.getDomainIteratorGPU();

373
	// offload to device
incardon's avatar
incardon committed
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
	vd.hostToDevicePos();

	initialize_props<<<it3.wthr,it3.thr>>>(vd.toKernel());

	// now we check what we initialized

	vd.deviceToHostProp<0,1>();

	auto it4 = vd.getDomainIterator();

	while (it4.isNext())
	{
		auto p = it4.get();

		BOOST_REQUIRE_CLOSE(vd.template getProp<0>(p),vd.getPos(p)[0] + vd.getPos(p)[1] + vd.getPos(p)[2],0.01);

		BOOST_REQUIRE_CLOSE(vd.template getProp<1>(p)[0],vd.getPos(p)[0] + vd.getPos(p)[1],0.01);
		BOOST_REQUIRE_CLOSE(vd.template getProp<1>(p)[1],vd.getPos(p)[0] + vd.getPos(p)[2],0.01);
		BOOST_REQUIRE_CLOSE(vd.template getProp<1>(p)[2],vd.getPos(p)[1] + vd.getPos(p)[2],0.01);

		++it4;
	}

397
398
399
	// here we do a ghost_get
	vd.ghost_get<0>();

incardon's avatar
incardon committed
400
	// Double ghost get to check crashes
incardon's avatar
incardon committed
401
402
	vd.ghost_get<0>();

403
404
405
406
	// we re-offload what we received
	vd.hostToDevicePos();
	vd.template hostToDeviceProp<0>();

incardon's avatar
incardon committed
407
408
	auto NN = vd.getCellListGPU(0.1);
	auto NN_cpu = vd.getCellList(0.1);
409
	check_cell_list_cpu_and_gpu(vd,NN,NN_cpu);
incardon's avatar
incardon committed
410

incardon's avatar
incardon committed
411
412
413
414
	auto NN_up = vd.getCellListGPU(0.1);
	NN_up.clear();
	vd.updateCellList(NN_up);
	check_cell_list_cpu_and_gpu(vd,NN_up,NN_cpu);
incardon's avatar
incardon committed
415
416
}

incardon's avatar
incardon committed
417
418
template<typename St>
void vdist_calc_gpu_test()
incardon's avatar
Latest    
incardon committed
419
420
421
422
423
424
{
	auto & v_cl = create_vcluster();

	if (v_cl.size() > 16)
	{return;}

incardon's avatar
incardon committed
425
426
427
428
429
430
431
432
	Box<3,St> domain({0.0,0.0,0.0},{1.0,1.0,1.0});

	// set the ghost based on the radius cut off (make just a little bit smaller than the spacing)
	Ghost<3,St> g(0.1);

	// Boundary conditions
	size_t bc[3]={PERIODIC,PERIODIC,PERIODIC};

incardon's avatar
incardon committed
433
	vector_dist_gpu<3,St,aggregate<St,St[3],St[3]>> vd(1000,domain,bc,g);
incardon's avatar
incardon committed
434

incardon's avatar
incardon committed
435
	srand(v_cl.rank()*10000);
incardon's avatar
incardon committed
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
	auto it = vd.getDomainIterator();

	while (it.isNext())
	{
		auto p = it.get();

		vd.getPos(p)[0] = (St)rand() / RAND_MAX;
		vd.getPos(p)[1] = (St)rand() / RAND_MAX;
		vd.getPos(p)[2] = (St)rand() / RAND_MAX;

		vd.template getProp<0>(p) = vd.getPos(p)[0] + vd.getPos(p)[1] + vd.getPos(p)[2];

		vd.template getProp<1>(p)[0] = vd.getPos(p)[0];
		vd.template getProp<1>(p)[1] = vd.getPos(p)[1];
		vd.template getProp<1>(p)[2] = vd.getPos(p)[2];

		vd.template getProp<2>(p)[0] = vd.getPos(p)[0] + vd.getPos(p)[1];
		vd.template getProp<2>(p)[1] = vd.getPos(p)[0] + vd.getPos(p)[2];
		vd.template getProp<2>(p)[2] = vd.getPos(p)[1] + vd.getPos(p)[2];

		++it;
	}

	// move on device
	vd.hostToDevicePos();
	vd.template hostToDeviceProp<0,1,2>();

	// Ok we redistribute the particles (GPU based)
	vd.map(RUN_ON_DEVICE);

	vd.deviceToHostPos();
	vd.template deviceToHostProp<0,1,2>();

	// Reset the host part

	auto it3 = vd.getDomainIterator();

	while (it3.isNext())
	{
		auto p = it3.get();

		vd.getPos(p)[0] = 1.0;
		vd.getPos(p)[1] = 1.0;
		vd.getPos(p)[2] = 1.0;

		vd.template getProp<0>(p) = 0.0;

		vd.template getProp<0>(p) = 0.0;
		vd.template getProp<0>(p) = 0.0;
		vd.template getProp<0>(p) = 0.0;

		vd.template getProp<0>(p) = 0.0;
		vd.template getProp<0>(p) = 0.0;
		vd.template getProp<0>(p) = 0.0;

		++it3;
	}

	// we move from Device to CPU

	vd.deviceToHostPos();
	vd.template deviceToHostProp<0,1,2>();

	// Check

	auto it2 = vd.getDomainIterator();

	bool match = true;
	while (it2.isNext())
	{
		auto p = it2.get();

		match &= vd.template getProp<0>(p) == vd.getPos(p)[0] + vd.getPos(p)[1] + vd.getPos(p)[2];

		match &= vd.template getProp<1>(p)[0] == vd.getPos(p)[0];
		match &= vd.template getProp<1>(p)[1] == vd.getPos(p)[1];
		match &= vd.template getProp<1>(p)[2] == vd.getPos(p)[2];

		match &= vd.template getProp<2>(p)[0] == vd.getPos(p)[0] + vd.getPos(p)[1];
		match &= vd.template getProp<2>(p)[1] == vd.getPos(p)[0] + vd.getPos(p)[2];
		match &= vd.template getProp<2>(p)[2] == vd.getPos(p)[1] + vd.getPos(p)[2];

		++it2;
	}

	BOOST_REQUIRE_EQUAL(match,true);

	// count local particles

	size_t l_cnt = 0;
	size_t nl_cnt = 0;
	size_t n_out = 0;

	// Domain + ghost box
	Box<3,St> dom_ext = domain;
	dom_ext.enlarge(g);

	auto it5 = vd.getDomainIterator();
	count_local_n_local<3>(vd,it5,bc,domain,dom_ext,l_cnt,nl_cnt,n_out);

	BOOST_REQUIRE_EQUAL(n_out,0);
	BOOST_REQUIRE_EQUAL(l_cnt,vd.size_local());

	// we do 10 gpu steps (using a cpu vector to check that map and ghost get work as expented)

	for (size_t i = 0 ; i < 10 ; i++)
	{
		vd.map(RUN_ON_DEVICE);

incardon's avatar
incardon committed
545
546
		CUDA_SAFE(cudaGetLastError());

incardon's avatar
incardon committed
547
548
549
550
551
		vd.deviceToHostPos();
		vd.template deviceToHostProp<0,1,2>();

		// To test we copy on a cpu distributed vector and we do a map

incardon's avatar
incardon committed
552
		vector_dist<3,St,aggregate<St,St[3],St[3]>> vd_cpu(vd.getDecomposition().template duplicate_convert<HeapMemory,memory_traits_lin>(),0);
incardon's avatar
incardon committed
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592

		auto itc = vd.getDomainIterator();

		while (itc.isNext())
		{
			auto p = itc.get();

			vd_cpu.add();

			vd_cpu.getLastPos()[0] = vd.getPos(p)[0];
			vd_cpu.getLastPos()[1] = vd.getPos(p)[1];
			vd_cpu.getLastPos()[2] = vd.getPos(p)[2];

			vd_cpu.template getLastProp<0>() = vd.template getProp<0>(p);

			vd_cpu.template getLastProp<1>()[0] = vd.template getProp<1>(p)[0];
			vd_cpu.template getLastProp<1>()[1] = vd.template getProp<1>(p)[1];
			vd_cpu.template getLastProp<1>()[2] = vd.template getProp<1>(p)[2];

			vd_cpu.template getLastProp<2>()[0] = vd.template getProp<2>(p)[0];
			vd_cpu.template getLastProp<2>()[1] = vd.template getProp<2>(p)[1];
			vd_cpu.template getLastProp<2>()[2] = vd.template getProp<2>(p)[2];

			++itc;
		}

		vd_cpu.template ghost_get<0,1,2>();
		vd.template ghost_get<0,1,2>(RUN_ON_DEVICE);

		vd.deviceToHostPos();
		vd.template deviceToHostProp<0,1,2>();

		match = true;

		// Particle on the gpu ghost and cpu ghost are not ordered in the same way so we have to reorder

		struct part
		{
			Point<3,St> xp;

incardon's avatar
incardon committed
593
594
595
596

			St prp0;
			St prp1[3];
			St prp2[3];
incardon's avatar
incardon committed
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624

			bool operator<(const part & tmp) const
			{
				if (xp.get(0) < tmp.xp.get(0))
				{return true;}
				else if (xp.get(0) > tmp.xp.get(0))
				{return false;}

				if (xp.get(1) < tmp.xp.get(1))
				{return true;}
				else if (xp.get(1) > tmp.xp.get(1))
				{return false;}

				if (xp.get(2) < tmp.xp.get(2))
				{return true;}
				else if (xp.get(2) > tmp.xp.get(2))
				{return false;}

				return false;
			}
		};

		openfpm::vector<part> cpu_sort;
		openfpm::vector<part> gpu_sort;

		cpu_sort.resize(vd_cpu.size_local_with_ghost() - vd_cpu.size_local());
		gpu_sort.resize(vd.size_local_with_ghost() - vd.size_local());

incardon's avatar
incardon committed
625
626
		BOOST_REQUIRE_EQUAL(cpu_sort.size(),gpu_sort.size());

incardon's avatar
incardon committed
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
		size_t cnt = 0;

		auto itc2 = vd.getGhostIterator();
		while (itc2.isNext())
		{
			auto p = itc2.get();

			cpu_sort.get(cnt).xp.get(0) = vd_cpu.getPos(p)[0];
			gpu_sort.get(cnt).xp.get(0) = vd.getPos(p)[0];
			cpu_sort.get(cnt).xp.get(1) = vd_cpu.getPos(p)[1];
			gpu_sort.get(cnt).xp.get(1) = vd.getPos(p)[1];
			cpu_sort.get(cnt).xp.get(2) = vd_cpu.getPos(p)[2];
			gpu_sort.get(cnt).xp.get(2) = vd.getPos(p)[2];

			cpu_sort.get(cnt).prp0 = vd_cpu.template getProp<0>(p);
			gpu_sort.get(cnt).prp0 = vd.template getProp<0>(p);

			cpu_sort.get(cnt).prp1[0] = vd_cpu.template getProp<1>(p)[0];
			gpu_sort.get(cnt).prp1[0] = vd.template getProp<1>(p)[0];
			cpu_sort.get(cnt).prp1[1] = vd_cpu.template getProp<1>(p)[1];
			gpu_sort.get(cnt).prp1[1] = vd.template getProp<1>(p)[1];
			cpu_sort.get(cnt).prp1[2] = vd_cpu.template getProp<1>(p)[2];
			gpu_sort.get(cnt).prp1[2] = vd.template getProp<1>(p)[2];

			cpu_sort.get(cnt).prp2[0] = vd_cpu.template getProp<2>(p)[0];
			gpu_sort.get(cnt).prp2[0] = vd.template getProp<2>(p)[0];
			cpu_sort.get(cnt).prp2[1] = vd_cpu.template getProp<2>(p)[1];
			gpu_sort.get(cnt).prp2[1] = vd.template getProp<2>(p)[1];
			cpu_sort.get(cnt).prp2[2] = vd_cpu.template getProp<2>(p)[2];
			gpu_sort.get(cnt).prp2[2] = vd.template getProp<2>(p)[2];

			++cnt;
			++itc2;
		}

		cpu_sort.sort();
		gpu_sort.sort();

		for (size_t i = 0 ; i < cpu_sort.size() ; i++)
		{
			match &= cpu_sort.get(i).xp.get(0) == gpu_sort.get(i).xp.get(0);
			match &= cpu_sort.get(i).xp.get(1) == gpu_sort.get(i).xp.get(1);
			match &= cpu_sort.get(i).xp.get(2) == gpu_sort.get(i).xp.get(2);

			match &= cpu_sort.get(i).prp0 == gpu_sort.get(i).prp0;
			match &= cpu_sort.get(i).prp1[0] == gpu_sort.get(i).prp1[0];
			match &= cpu_sort.get(i).prp1[1] == gpu_sort.get(i).prp1[1];
			match &= cpu_sort.get(i).prp1[2] == gpu_sort.get(i).prp1[2];

			match &= cpu_sort.get(i).prp2[0] == gpu_sort.get(i).prp2[0];
			match &= cpu_sort.get(i).prp2[1] == gpu_sort.get(i).prp2[1];
			match &= cpu_sort.get(i).prp2[2] == gpu_sort.get(i).prp2[2];
		}

		BOOST_REQUIRE_EQUAL(match,true);

		// move particles on gpu

		auto ite = vd.getDomainIteratorGPU();
		move_parts_gpu_test<3,decltype(vd.toKernel())><<<ite.wthr,ite.thr>>>(vd.toKernel());
	}
}

BOOST_AUTO_TEST_CASE( vector_dist_map_on_gpu_test)
{
	vdist_calc_gpu_test<float>();
	vdist_calc_gpu_test<double>();
694
}
incardon's avatar
incardon committed
695

696
697
698
BOOST_AUTO_TEST_CASE(vector_dist_reduce)
{
	auto & v_cl = create_vcluster();
incardon's avatar
incardon committed
699
700
701
702

	if (v_cl.size() > 16)
	{return;}

incardon's avatar
Latest    
incardon committed
703
704
705
706
707
708
	Box<3,float> domain({0.0,0.0,0.0},{1.0,1.0,1.0});

	// set the ghost based on the radius cut off (make just a little bit smaller than the spacing)
	Ghost<3,float> g(0.1);

	// Boundary conditions
incardon's avatar
incardon committed
709
	size_t bc[3]={PERIODIC,PERIODIC,PERIODIC};
incardon's avatar
Latest    
incardon committed
710

711
	vector_dist_gpu<3,float,aggregate<float,double,int,size_t>> vd(5000*v_cl.size(),domain,bc,g);
incardon's avatar
Latest    
incardon committed
712
713
714

	auto it = vd.getDomainIterator();

715
716
717
718
719
720
	float fc = 1.0;
	double dc = 1.0;
	int ic = 1.0;
	size_t sc = 1.0;

	while(it.isNext())
incardon's avatar
Latest    
incardon committed
721
722
723
	{
		auto p = it.get();

724
725
726
727
		vd.template getProp<0>(p) = fc;
		vd.template getProp<1>(p) = dc;
		vd.template getProp<2>(p) = ic;
		vd.template getProp<3>(p) = sc;
incardon's avatar
Latest    
incardon committed
728

729
730
731
732
		fc += 1.0;
		dc += 1.0;
		ic += 1;
		sc += 1;
733

incardon's avatar
Latest    
incardon committed
734
735
736
		++it;
	}

737
	vd.template hostToDeviceProp<0,1,2,3>();
incardon's avatar
incardon committed
738

incardon's avatar
incardon committed
739
740
741
742
	float redf = reduce<0,_add_>(vd);
	double redd = reduce<1,_add_>(vd);
	int redi = reduce<2,_add_>(vd);
	size_t reds = reduce<3,_add_>(vd);
incardon's avatar
incardon committed
743

744
745
746
747
	BOOST_REQUIRE_EQUAL(redf,(vd.size_local()+1.0)*(vd.size_local())/2.0);
	BOOST_REQUIRE_EQUAL(redd,(vd.size_local()+1.0)*(vd.size_local())/2.0);
	BOOST_REQUIRE_EQUAL(redi,(vd.size_local()+1)*(vd.size_local())/2);
	BOOST_REQUIRE_EQUAL(reds,(vd.size_local()+1)*(vd.size_local())/2);
incardon's avatar
incardon committed
748
749
750
751
752
753
754
755
756
757

	float redf2 = reduce<0,_max_>(vd);
	double redd2 = reduce<1,_max_>(vd);
	int redi2 = reduce<2,_max_>(vd);
	size_t reds2 = reduce<3,_max_>(vd);

	BOOST_REQUIRE_EQUAL(redf2,vd.size_local());
	BOOST_REQUIRE_EQUAL(redd2,vd.size_local());
	BOOST_REQUIRE_EQUAL(redi2,vd.size_local());
	BOOST_REQUIRE_EQUAL(reds2,vd.size_local());
incardon's avatar
Latest    
incardon committed
758
759
}

760

incardon's avatar
incardon committed
761
762


incardon's avatar
incardon committed
763
BOOST_AUTO_TEST_SUITE_END()