VCluster.hpp 26 KB
Newer Older
incardon's avatar
incardon committed
1
2
3
#ifndef VCLUSTER
#define VCLUSTER

4
#include "config.h"
incardon's avatar
incardon committed
5
#include <mpi.h>
6
#include "MPI_wrapper/MPI_util.hpp"
incardon's avatar
incardon committed
7
8
9
#include "VCluster_object.hpp"
#include "VCluster_object_array.hpp"
#include "Vector/map_vector.hpp"
10
11
12
#include "MPI_wrapper/MPI_IallreduceW.hpp"
#include "MPI_wrapper/MPI_IrecvW.hpp"
#include "MPI_wrapper/MPI_IsendW.hpp"
incardon's avatar
incardon committed
13
#include "MPI_wrapper/MPI_IAllGather.hpp"
incardon's avatar
incardon committed
14
#include <exception>
15
#include "Vector/map_vector.hpp"
16
17
#ifdef DEBUG
#include "util/check_no_pointers.hpp"
18
#include "util/util_debug.hpp"
19
#endif
incardon's avatar
incardon committed
20
#include "util/Vcluster_log.hpp"
incardon's avatar
incardon committed
21
22
23

#define MSG_LENGTH 1024
#define MSG_SEND_RECV 1025
24
#define SEND_SPARSE 4096
incardon's avatar
incardon committed
25
26
27
#define NONE 1
#define NEED_ALL_SIZE 2

28
29
#define SERIVCE_MESSAGE_TAG 16384
#define SEND_RECV_BASE 8192
incardon's avatar
incardon committed
30
#define GATHER_BASE 24576
incardon's avatar
incardon committed
31

Pietro Incardona's avatar
Pietro Incardona committed
32
// number of vcluster instances
incardon's avatar
incardon committed
33
extern size_t n_vcluster;
Pietro Incardona's avatar
Pietro Incardona committed
34
// Global MPI initialization
incardon's avatar
incardon committed
35
36
extern bool global_mpi_init;

incardon's avatar
incardon committed
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
///////////////////// Post functions /////////////

template<typename T> void assign(T * ptr1, T * ptr2)
{
	*ptr1 = *ptr2;
};

//////////////////////////////////////////////////

// temporal buffer for reductions
union red
{
	char c;
	unsigned char uc;
	short s;
	unsigned short us;
	int i;
	unsigned int ui;
	float f;
	double d;
};

/*! \brief Virtual Cluster exception
 *
 * This a a class that signal an exception on MPI_WaitAll
 *
 */

class exec_exception: public std::exception
{
  virtual const char* what() const throw()
  {
    return "One or more request has failed or reported an error";
  }
};

/*! \brief This class is virtualize the cluster as a set of processing unit
 *         and communication unit
 *
 * This class virtualize the cluster as a set of processing unit and communication
 * unit. It can execute any vcluster_exe
 *
 */

class Vcluster
{
incardon's avatar
incardon committed
83
84
	Vcluster_log log;

85
86
87
88
89
90
91
92
93
94
95
96
97
98
	//! NBX has a potential pitfall that must be addressed
	//! NBX Send all the messages and than probe for incoming messages
	//! If there is an incoming message it receive it producing
	//! an acknowledge notification on the sending processor.
	//! when all the sends has been acknowledged the processor call the MPI_Ibarrier
	//! when all the processor call MPI_Ibarrier all send has been received.
	//! While the processors are waiting for the MPI_Ibarrier to complete on all processor
	//! they are still have to probe for incoming message, Unfortunately some processor
	//! can receive acnoledge from the MPI_Ibarrier before others and this mean that some
	//! processor can exit the probing status before others, these processor can in theory
	//! start new communications while the other processor are still in probing status producing
	//! a wrong send/recv association to
	//! resolve this problem an incremental NBX_cnt is used as message TAG to distinguish that the
	//! messages come from other send or subsequent NBX procedures
incardon's avatar
incardon committed
99
	size_t NBX_cnt;
100

incardon's avatar
incardon committed
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
	// temporal vector used for meta-communication
	// ( or meta-data before the real communication )
	openfpm::vector<size_t> proc_com;

	// vector that contain the scatter map (it is basically an array of one)
	openfpm::vector<int> map_scatter;

	// vector of MPI requests
	openfpm::vector<MPI_Request> req;

	// vector of MPI status
	openfpm::vector<MPI_Status> stat;

	// vector of functions to execute after all the request has been performed
	std::vector<int> post_exe;

	// Object array


	// Single objects

	// number of processes
	int size;
	// actual rank
	int rank;

	// number of processing unit per process
	int numPE = 1;

	/* This buffer is a temporal buffer for reductions
	 *
	 * MPI_Iallreduce does not accept recv and send buffer to be the same
	 * r is used to overcome this problem (is given as second parameter)
	 * after the execution the data is copied back
	 *
	 */
	std::vector<red> r;

public:

	// Finalize the MPI program
	~Vcluster()
	{
Pietro Incardona's avatar
Pietro Incardona committed
144
145
146
#ifdef SE_CLASS2
		check_delete(this);
#endif
Pietro Incardona's avatar
Pietro Incardona committed
147
		n_vcluster--;
incardon's avatar
incardon committed
148
149

		// if there are no other vcluster instances finalize
Pietro Incardona's avatar
Pietro Incardona committed
150
151
152
		if (n_vcluster == 0)
		{
			std::cout << "Finalize\n";
incardon's avatar
incardon committed
153
			MPI_Finalize();
Pietro Incardona's avatar
Pietro Incardona committed
154
		}
incardon's avatar
incardon committed
155
156
157
158
	}

	//! \brief Virtual cluster constructor
	Vcluster(int *argc, char ***argv)
incardon's avatar
incardon committed
159
	:NBX_cnt(0)
incardon's avatar
incardon committed
160
	{
Pietro Incardona's avatar
Pietro Incardona committed
161
162
163
164
#ifdef SE_CLASS2
		check_new(this,8,VCLUSTER_EVENT,PRJ_VCLUSTER);
#endif

Pietro Incardona's avatar
Pietro Incardona committed
165
		n_vcluster++;
incardon's avatar
incardon committed
166
167
168
169

		// Check if MPI is already initialized
		if (global_mpi_init == false)
		{
incardon's avatar
incardon committed
170

incardon's avatar
incardon committed
171
172
173
			MPI_Init(argc,argv);
			global_mpi_init = true;
		}
incardon's avatar
incardon committed
174
175
176
177
178
179
180

		//! Get the total number of process
		//! and the rank of this process

		MPI_Comm_size(MPI_COMM_WORLD, &size);
		MPI_Comm_rank(MPI_COMM_WORLD, &rank);

181
#ifdef SE_CLASS2
incardon's avatar
incardon committed
182
183
184
185
186
187
188
189
190
191
			process_v_cl = rank;
#endif

		//! create and fill map scatter with one
		map_scatter.resize(size);

		for (size_t i = 0 ; i < map_scatter.size() ; i++)
		{
			map_scatter.get(i) = 1;
		}
incardon's avatar
incardon committed
192
193
194

		// open the log file
		log.openLog(rank);
incardon's avatar
incardon committed
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
#ifdef DEBUG

	/*! \brief Check for wrong types
	 *
	 * In general we do not know if a type T make sense to be sent or not, but if it has pointer
	 * inside it does not. This function check if the basic type T has a method called noPointers,
	 * This function in general notify if T has internally pointers. If T has pointer an error
	 * is printed, is T does not have the method a WARNING is printed
	 *
	 * \tparam T type to check
	 *
	 */
	template<typename T> void checkType()
	{
		// if T is a primitive like int, long int, float, double, ... make sense
		// (pointers, l-references and r-references are not fundamentals)
		if (std::is_fundamental<T>::value == true)
			return;

		// if it is a pointer make no sense
		if (std::is_pointer<T>::value == true)
			std::cerr << "Error: " << __FILE__ << ":" << __LINE__ << " the type " << demangle(typeid(T).name()) << " is a pointer, sending pointers values has no sense\n";

		// if it is an l-value reference make no send
		if (std::is_lvalue_reference<T>::value == true)
			std::cerr << "Error: " << __FILE__ << ":" << __LINE__ << " the type " << demangle(typeid(T).name()) << " is a pointer, sending pointers values has no sense\n";

		// if it is an r-value reference make no send
		if (std::is_rvalue_reference<T>::value == true)
			std::cerr << "Error: " << __FILE__ << ":" << __LINE__ << " the type " << demangle(typeid(T).name()) << " is a pointer, sending pointers values has no sense\n";

		// ... if not, check that T has a method called noPointers
		switch (check_no_pointers<T>::value())
		{
			case PNP::UNKNOWN:
			{
incardon's avatar
incardon committed
233
				std::cerr << "Warning: " << __FILE__ << ":" << __LINE__ << " impossible to check the type " << demangle(typeid(T).name()) << " please consider to add a static method \"static bool noPointers()\" \n" ;
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
				break;
			}
			case PNP::POINTERS:
			{
				std::cerr << "Error: " << __FILE__ << ":" << __LINE__ << " the type " << demangle(typeid(T).name()) << " has pointers inside, sending pointers values has no sense\n";
				break;
			}
			default:
			{

			}
		}
	}

#endif

incardon's avatar
incardon committed
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
	//! Get the total number of processing units
	size_t getProcessingUnits()
	{
		return size*numPE;
	}

	//! Get the process unit id
	size_t getProcessUnitID()
	{
		return rank;
	}

	/*! \brief Allocate a set of objects
	 *
	 * \tparam obj
	 * \param n number of object
	 *
	 * \return an object representing an array of objects
	 *
	 */
	template <typename obj> Vcluster_object_array<obj> allocate(size_t n)
	{
		// Vcluster object array
		Vcluster_object_array<obj> vo;

		// resize the array
		vo.resize(n);

		// Create the object on memory and return a Vcluster_object_array
		return vo;
	}

	/*! \brief Sum the number across all processors and get the result
	 *
	 * \param num to reduce, input and output
	 *
	 */

288
	template<typename T> void sum(T & num)
incardon's avatar
incardon committed
289
	{
290
291
292
293
#ifdef DEBUG
		checkType<T>();
#endif

incardon's avatar
incardon committed
294
295
296
297
298
299
300
301
302
		// reduce over MPI

		// Create one request
		req.add();

		// reduce
		MPI_IallreduceW<T>::reduce(num,MPI_SUM,req.last());
	}

incardon's avatar
incardon committed
303
304
305
306
307
308
309
310
	/*! \brief Get the maximum number across all processors (or reduction with insinity norm)
	 *
	 * \param num to reduce
	 *
	 */

	template<typename T> void max(T & num)
	{
311
312
313
#ifdef DEBUG
		checkType<T>();
#endif
incardon's avatar
incardon committed
314
315
316
317
318
319
320
321
322
		// reduce over MPI

		// Create one request
		req.add();

		// reduce
		MPI_IallreduceW<T>::reduce(num,MPI_MAX,req.last());
	}

incardon's avatar
incardon committed
323
324
325
326
327
328
329
330
331
	// vector of pointers of send buffers
	openfpm::vector<void *> ptr_send;

	// vector of the size of send buffers
	openfpm::vector<size_t> sz_send;

	// sending map
	openfpm::vector<size_t> map;

incardon's avatar
incardon committed
332
333
334
335
336
	// barrier request
	MPI_Request bar_req;
	// barrier status
	MPI_Status bar_stat;

337
	// Distributed processor graph
incardon's avatar
incardon committed
338
//	MPI_Comm proc_comm_graph;
339
340
341
342
343
344
345
346
347

	/*! \brief
	 *
	 * Set the near processor of this processors
	 *
	 */

	openfpm::vector<size_t> NN_proc;

incardon's avatar
incardon committed
348
/*	void setLocality(openfpm::vector<size_t> NN_proc)
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
	{
		// Number of sources in the graph, and sources processors
		size_t sources = NN_proc.size();
		openfpm::vector<int> src_proc;

		// number of destination in the graph
		size_t dest = NN_proc.size();
		openfpm::vector<int> dest_proc;

		// insert in sources and out sources
		for (size_t i = 0; i < NN_proc.size() ; i++)
		{
			src_proc.add(NN_proc.get(i));
			dest_proc.add(NN_proc.get(i));
			// Copy the vector
			this->NN_proc.get(i) = NN_proc.get(i);
		}

		MPI_Dist_graph_create_adjacent(MPI_COMM_WORLD,sources,&src_proc.get(0),(const int *)MPI_UNWEIGHTED,dest,&dest_proc.get(0),(const int *)MPI_UNWEIGHTED,MPI_INFO_NULL,true,&proc_comm_graph);
incardon's avatar
incardon committed
368
	}*/
369
370
371
372
373
374
375
376
377

	/*! \brief Send and receive multiple messages within local processors
	 *
	 * It send multiple messages and receive
	 * other multiple messages, all the processor must call this
	 * function
	 *
	 * \param prc list of processors with which it should communicate
	 *
incardon's avatar
incardon committed
378
	 * \param v vector containing the data to send (it is allowed to have 0 size vector)
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
	 *
	 * \param msg_alloc This is a call-back with the purpose of allocate space
	 *        for the incoming message and give back a valid pointer, the 6 parameters
	 *        in the call-back are in order:
	 *        1) message size required to receive from i
	 *        2) total message size to receive from all the processors
	 *        3) the total number of processor want to communicate with you
	 *        4) processor id
	 *        5) ri request id (it is an id that goes from 0 to total_p, and is unique
	 *           every time message_alloc is called)
	 *        6) void pointer parameter for additional data to pass to the call-back
	 *
	 * \param opt options, NONE or NEED_ALL_SIZE, with NEED_ALL_SIZE the allocation
	 *        callback will not be called until all the message size will be
	 *        gathered, [usefull for example with you want to allocate one big buffer
	 *        to gather all the messages]
	 *
	 */

	template<typename T> void sendrecvMultipleMessagesNBX(openfpm::vector< size_t > & prc, openfpm::vector< T > & data, void * (* msg_alloc)(size_t,size_t,size_t,size_t,size_t,void *), void * ptr_arg, long int opt=NONE)
	{
400
401
402
#ifdef DEBUG
		checkType<typename T::value_type>();
#endif
403
404
405
406
407
408
409
410
411
412
413
414
415
		// resize the pointer list
		ptr_send.resize(prc.size());
		sz_send.resize(prc.size());

		for (size_t i = 0 ; i < prc.size() ; i++)
		{
			ptr_send.get(i) = data.get(i).getPointer();
			sz_send.get(i) = data.get(i).size() * sizeof(typename T::value_type);
		}

		sendrecvMultipleMessagesNBX(prc.size(),(size_t *)sz_send.getPointer(),(size_t *)prc.getPointer(),(void **)ptr_send.getPointer(),msg_alloc,ptr_arg,opt);
	}

incardon's avatar
incardon committed
416
417
418

	/*! \brief Send and receive multiple messages
	 *
419
	 * It send multiple messages and receive
incardon's avatar
incardon committed
420
421
422
423
424
	 * other multiple messages, all the processor must call this
	 * function
	 *
	 * \param prc list of processors with which it should communicate
	 *
425
426
	 * \param nn_prc near processors
	 *
incardon's avatar
incardon committed
427
428
429
	 * \param v vector containing the data to send
	 *
	 * \param msg_alloc This is a call-back with the purpose of allocate space
430
431
432
433
434
435
436
437
438
	 *        for the incoming message and give back a valid pointer, the 6 parameters
	 *        in the call-back are in order:
	 *        1) message size required to receive from i
	 *        2) total message size to receive from all the processors
	 *        3) the total number of processor want to communicate with you
	 *        4) processor id
	 *        5) ri request id (it is an id that goes from 0 to total_p, and is unique
	 *           every time message_alloc is called)
	 *        6) void pointer parameter for additional data to pass to the call-back
incardon's avatar
incardon committed
439
440
441
442
443
444
445
446
	 *
	 * \param opt options, NONE or NEED_ALL_SIZE, with NEED_ALL_SIZE the allocation
	 *        callback will not be called until all the message size will be
	 *        gathered, [usefull for example with you want to allocate one big buffer
	 *        to gather all the messages]
	 *
	 */

447
	template<typename T> void sendrecvMultipleMessagesPCX(openfpm::vector< size_t > & prc, openfpm::vector< T > & data, void * (* msg_alloc)(size_t,size_t,size_t,size_t,size_t,void *), void * ptr_arg, long int opt=NONE)
incardon's avatar
incardon committed
448
	{
449
450
451
#ifdef DEBUG
		checkType<typename T::value_type>();
#endif
incardon's avatar
incardon committed
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
		// resize map with the number of processors
		map.resize(size);

		// reset the sending buffer
		map.fill(0);

		// create sending map
		for (size_t i = 0 ; i < prc.size() ; i++)
		{map.get(prc.get(i)) = 1;}

		// resize the pointer list
		ptr_send.resize(prc.size());
		sz_send.resize(prc.size());

		for (size_t i = 0 ; i < prc.size() ; i++)
		{
			ptr_send.get(i) = data.get(i).getPointer();
			sz_send.get(i) = data.get(i).size() * sizeof(typename T::value_type);
		}

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
		sendrecvMultipleMessagesPCX(prc.size(),(size_t *)map.getPointer(),(size_t *)sz_send.getPointer(),(size_t *)prc.getPointer(),(void **)ptr_send.getPointer(),msg_alloc,ptr_arg,opt);
	}

	/*! \brief Send and receive multiple messages local
	 *
	 * It send multiple messages to the near processor the and receive
	 * other multiple messages from the, all the processor must call this
	 * function
	 *
	 * \param n_send number of send this processor must do
	 *
	 * \param sz the array contain the size of the message for each processor
	 *        (zeros must be omitted)
	 *
	 *        [Example] for the previous patter 5 10 15 4 mean processor 1
	 *        message size 5 byte, processor 6 message size 10 , ......
	 *
	 * \param prc list of processor with which it should communicate
	 *        [Example] for the previous case should be
	 *        1 6 7 8 (prc and mp contain the same information in different
	 *        format, giving both reduce the computation)
	 *
	 * \param ptr array that contain the messages pointers
	 *
	 * \param msg_alloc This is a call-back with the purpose of allocate space
	 *        for the incoming message and give back a valid pointer, the 6 parameters
	 *        in the call-back are in order:
	 *        1) message size required to receive from i
	 *        2) total message size to receive from all the processors
	 *        3) the total number of processor want to communicate with you
	 *        4) processor id
	 *        5) ri request id (it is an id that goes from 0 to total_p, and is unique
	 *           every time message_alloc is called)
	 *        6) void pointer parameter for additional data to pass to the call-back
	 *
	 * \param opt options, NONE (ignored in this moment)
	 *
	 */

	void sendrecvMultipleMessagesNBX(size_t n_send , size_t sz[], size_t prc[] , void * ptr[], void * (* msg_alloc)(size_t,size_t,size_t,size_t,size_t,void *), void * ptr_arg, long int opt)
	{
513
514
515
516
517
		if (stat.size() != 0 || req.size() != 0)
			std::cerr << "Error: " << __FILE__ << ":" << __LINE__ << " this function must be called when no other requests are in progress \n";


		stat.clear();
518
519
520
521
522
		req.clear();
		// Do MPI_Issend

		for (size_t i = 0 ; i < n_send ; i++)
		{
incardon's avatar
incardon committed
523
524
525
			if (sz[i] != 0)
			{
				req.add();
526
				MPI_SAFE_CALL(MPI_Issend(ptr[i], sz[i], MPI_BYTE, prc[i], SEND_SPARSE + NBX_cnt, MPI_COMM_WORLD,&req.last()));
incardon's avatar
incardon committed
527
				log.logSend(prc[i]);
incardon's avatar
incardon committed
528
			}
529
530
531
532
533
534
535
		}

		size_t rid = 0;
		int flag = false;

		bool reached_bar_req = false;

incardon's avatar
incardon committed
536
537
		log.start(10);

538
539
540
		// Wait that all the send are acknowledge
		do
		{
incardon's avatar
incardon committed
541

542
543
544
545
546
			// flag that notify that this processor reach the barrier
			// Barrier request

			MPI_Status stat_t;
			int stat = false;
547
			MPI_SAFE_CALL(MPI_Iprobe(MPI_ANY_SOURCE,SEND_SPARSE + NBX_cnt,MPI_COMM_WORLD,&stat,&stat_t));
548

549
			// If I have an incoming message and is related to this NBX communication
550
551
552
553
554
555
556
557
558
			if (stat == true)
			{
				// Get the message size
				int msize;
				MPI_SAFE_CALL(MPI_Get_count(&stat_t,MPI_BYTE,&msize));

				// Get the pointer to receive the message
				void * ptr = msg_alloc(msize,0,0,stat_t.MPI_SOURCE,rid,ptr_arg);

incardon's avatar
incardon committed
559
560
561
				// Log the receiving request
				log.logRecv(stat_t);

562
563
				rid++;

564
				MPI_SAFE_CALL(MPI_Recv(ptr,msize,MPI_BYTE,stat_t.MPI_SOURCE,SEND_SPARSE+NBX_cnt,MPI_COMM_WORLD,&stat_t));
565
566
567
568
569
570
571
			}

			// Check the status of all the MPI_issend and call the barrier if finished

			if (reached_bar_req == false)
			{
				int flag = false;
incardon's avatar
incardon committed
572
573
574
575
				if (req.size() != 0)
				{MPI_SAFE_CALL(MPI_Testall(req.size(),&req.get(0),&flag,MPI_STATUSES_IGNORE));}
				else
					flag = true;
576
577
578
579
580
581

				// If all send has been completed
				if (flag == true)
				{MPI_SAFE_CALL(MPI_Ibarrier(MPI_COMM_WORLD,&bar_req));reached_bar_req = true;}
			}

incardon's avatar
incardon committed
582
			// Check if all processor reached the async barrier
583
			if (reached_bar_req)
incardon's avatar
incardon committed
584
			{MPI_SAFE_CALL(MPI_Test(&bar_req,&flag,&bar_stat))};
incardon's avatar
incardon committed
585
586

			// produce a report if communication get stuck
incardon's avatar
incardon committed
587
			log.NBXreport(NBX_cnt,req,reached_bar_req,bar_stat);
incardon's avatar
incardon committed
588

589
590
591
592
593
594
		} while (flag == false);

		// Remove the executed request

		req.clear();
		stat.clear();
incardon's avatar
incardon committed
595
		log.clear();
596
597
598

		// Circular counter
		NBX_cnt = (NBX_cnt + 1) % 1024;
incardon's avatar
incardon committed
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
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
	}

	/*! \brief Send and receive multiple messages
	 *
	 * It send multiple (to more than one) messages and receive
	 * other multiple messages, all the processor must call this
	 * function
	 *
	 * \param n_send number of send this processor must do
	 *
	 * \param map array containing an array of unsigned chars that
	 *        specify the communication pattern of the processor
	 *
	 *        [Example]   0 1 0 0 0 0 1 1 1 mean that the processor
	 *        communicate with the processor 1 6 7 8
	 *
	 * \param sz the array contain the size of the message for each processor
	 *        (zeros must be omitted)
	 *
	 *        [Example] for the previous patter 5 10 15 4 mean processor 1
	 *        message size 5 byte, processor 6 message size 10 , ......
	 *
	 * \param prc list of processor with which it should communicate
	 *        [Example] for the previous case should be
	 *        1 6 7 8 (prc and mp contain the same information in different
	 *        format, giving both reduce the computation)
	 *
	 * \param ptr array that contain the message (zero lengh must be omitted)
	 *
	 * \param msg_alloc This is a call-back with the purpose of allocate space
	 *        for the incoming message and give back a valid pointer, the 3 parameters
	 *        in the call-back are  , total message to receive, i processor id from witch
	 *        to receive
	 *
	 * \param opt options, NONE or NEED_ALL_SIZE, with NEED_ALL_SIZE the allocation
	 *        callback will not be called until all the message size will be
	 *        gathered, [usefull for example with you want to allocate one big buffer
	 *        to gather all the messages]
	 *
	 */

640
	void sendrecvMultipleMessagesPCX(size_t n_send, size_t * map, size_t sz[], size_t prc[] , void * ptr[], void * (* msg_alloc)(size_t,size_t,size_t,size_t,size_t,void *), void * ptr_arg, long int opt)
incardon's avatar
incardon committed
641
	{
642
643
644
645
		if (stat.size() != 0 || req.size() != 0)
			std::cerr << "Error: " << __FILE__ << ":" << __LINE__ << " this function must be called when no other requests are in progress \n";

		stat.clear();
incardon's avatar
incardon committed
646
		req.clear();
647

incardon's avatar
incardon committed
648
		req.add();
incardon's avatar
incardon committed
649
		stat.add();
incardon's avatar
incardon committed
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

		proc_com.resize(1);

		MPI_SAFE_CALL(MPI_Ireduce_scatter(map,&proc_com.get(0),&map_scatter.get(0),MPI_UNSIGNED_LONG,MPI_SUM,MPI_COMM_WORLD,&req.last()));
		MPI_SAFE_CALL(MPI_Waitall(req.size(),&req.get(0),&stat.get(0)));

		// Remove the executed request

		req.clear();
		stat.clear();

		// Allocate the temporal buffer to store the message size for each processor

		size_t n_proc_com = proc_com.get(0);
		proc_com.resize(n_proc_com * 2);

		// queue n_proc_com MPI_Irecv with source ANY_SOURCE to get
		// the message length from each processor and
		//  send the message length to each processor

		for (size_t i = 0 ; i < n_proc_com ; i++)
		{
			req.add();
			MPI_SAFE_CALL(MPI_Irecv(&proc_com.get(i),1,MPI_UNSIGNED_LONG,MPI_ANY_SOURCE,MSG_LENGTH,MPI_COMM_WORLD,&req.last()));
		}

		for (size_t i = 0 ; i < n_send ; i++)
		{
			req.add();
			MPI_SAFE_CALL(MPI_Isend(&sz[i],1,MPI_UNSIGNED_LONG,prc[i],MSG_LENGTH,MPI_COMM_WORLD,&req.last()));
		}

		stat.resize(req.size());
683
		if (req.size() != 0) {MPI_SAFE_CALL(MPI_Waitall(req.size(),&req.get(0),&stat.get(0)));}
incardon's avatar
incardon committed
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709

		// Use proc_com to get the processor id that try to communicate

		for (size_t i = 0 ; i < n_proc_com ; i++)
		{
			proc_com.get(n_proc_com+i) = stat.get(i).MPI_SOURCE;
		}

		// Remove the executed request

		req.clear();
		stat.clear();

		// Calculate the total size of the message

		size_t total_msg = 0;

		for (size_t i = 0 ; i < n_proc_com ; i++)
		{
			total_msg += proc_com.get(i);
		}

		// Receive the message

		for (size_t i = 0 ; i < n_proc_com ; i++)
		{
incardon's avatar
incardon committed
710
			void * ptr = msg_alloc(proc_com.get(i),total_msg,n_proc_com,proc_com.get(n_proc_com+i),i,ptr_arg);
incardon's avatar
incardon committed
711
712
713
714
715
716
717
718
719
720
721
722
723
724

			req.add();
			MPI_SAFE_CALL(MPI_Irecv(ptr,proc_com.get(i),MPI_BYTE,proc_com.get(i+n_proc_com),MSG_SEND_RECV,MPI_COMM_WORLD,&req.last()));
		}

		// Send all the messages this processor must send

		for (size_t i = 0 ; i < n_send ; i++)
		{
			req.add();
			MPI_SAFE_CALL(MPI_Isend(ptr[i],sz[i],MPI_BYTE,prc[i],MSG_SEND_RECV,MPI_COMM_WORLD,&req.last()));
		}

		stat.resize(req.size());
725
		if (req.size() != 0) {MPI_SAFE_CALL(MPI_Waitall(req.size(),&req.get(0),&stat.get(0)));}
incardon's avatar
incardon committed
726
727
728
729
730
731
732

		// Remove the executed request

		req.clear();
		stat.clear();
	}

733
734
735
736
737
738
	/*! \brief Send data to a processor
	 *
	 * \warning In order to avoid deadlock every send must be coupled with a recv
	 *          in case you want to send data without knowledge from the other side
	 *          consider to use sendRecvMultipleMessages
	 *
incardon's avatar
incardon committed
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
	 * \warning operation is asynchronous execute must be called to ensure they are executed
	 *
	 * \see sendRecvMultipleMessages
	 *
	 * \param proc processor id
	 * \param tag id
	 * \param mem buffer with the data to send
	 * \param sz size
	 *
	 * \return true if succeed false otherwise
	 *
	 */
	bool send(size_t proc, size_t tag, void * mem, size_t sz)
	{
		// send over MPI

		// Create one request
		req.add();

		// send
		MPI_IsendWB::send(proc,SEND_RECV_BASE + tag,mem,sz,req.last());

		return true;
	}

incardon's avatar
incardon committed
764

incardon's avatar
incardon committed
765
766
767
768
769
770
771
	/*! \brief Send data to a processor
	 *
	 * \warning In order to avoid deadlock every send must be coupled with a recv
	 *          in case you want to send data without knowledge from the other side
	 *          consider to use sendRecvMultipleMessages
	 *
	 * \warning operation is asynchronous execute must be called to ensure they are executed
772
773
774
775
776
777
778
	 *
	 * \see sendRecvMultipleMessages
	 *
	 * \param proc processor id
	 * \param tag id
	 * \param v buffer to send
	 *
779
780
	 * \return true if succeed false otherwise
	 *
781
	 */
782
	template<typename T, typename Mem, typename gr> bool send(size_t proc, size_t tag, openfpm::vector<T,Mem,gr> & v)
783
784
785
786
787
788
789
790
791
792
	{
#ifdef DEBUG
		checkType<T>();
#endif

		// send over MPI

		// Create one request
		req.add();

793
		// send
794
		MPI_IsendW<T,Mem,gr>::send(proc,SEND_RECV_BASE + tag,v,req.last());
795
796

		return true;
797
798
799
800
801
802
803
804
	}

	/*! \brief Recv data from a processor
	 *
	 * \warning In order to avoid deadlock every recv must be coupled with a send
	 *          in case you want to send data without knowledge from the other side
	 *          consider to use sendRecvMultipleMessages
	 *
incardon's avatar
incardon committed
805
	 * \warning operation is asynchronous execute must be called to ensure they are executed
806
807
808
809
810
811
	 *
	 * \see sendRecvMultipleMessages
	 *
	 * \param proc processor id
	 * \param tag id
	 * \param v buffer to send
incardon's avatar
incardon committed
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
	 * \param sz size of the buffer
	 *
	 * \return true if succeed false otherwise
	 *
	 */
	bool recv(size_t proc, size_t tag, void * v, size_t sz)
	{
		// recv over MPI

		// Create one request
		req.add();

		// receive
		MPI_IrecvWB::recv(proc,SEND_RECV_BASE + tag,v,sz,req.last());

		return true;
	}

incardon's avatar
incardon committed
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
    /*! \brief Recv data from a processor
     *
     * \warning In order to avoid deadlock every recv must be coupled with a send
     *          in case you want to send data without knowledge from the other side
     *          consider to use sendRecvMultipleMessages
     *
     * \warning operation is asynchronous execute must be called to ensure they are executed
     *
     * \see sendRecvMultipleMessages
     *
     * \param proc processor id
     * \param tag id
     * \param v vector to send
     *
     * \return true if succeed false otherwise
     *
     */
    template<typename T, typename Mem, typename gr> bool recv(size_t proc, size_t tag, openfpm::vector<T,Mem,gr> & v)
    {
#ifdef DEBUG
            checkType<T>();
#endif

            // recv over MPI

            // Create one request
            req.add();

            // receive
            MPI_IrecvW<T>::recv(proc,SEND_RECV_BASE + tag,v,req.last());

            return true;
    }

	/*! \brief Gather the data from all processors
incardon's avatar
incardon committed
865
866
867
868
	 *
	 * \warning operation is asynchronous execute must be called to ensure they are executed
	 *
	 * \param tag id
incardon's avatar
incardon committed
869
870
	 * \param v vector to receive
	 * \param send data to send
871
	 *
872
873
	 * \return true if succeed false otherwise
	 *
874
	 */
incardon's avatar
incardon committed
875
	template<typename T, typename Mem, typename gr> bool allGather(T & send, openfpm::vector<T,Mem,gr> & v)
876
877
878
879
880
881
882
883
	{
#ifdef DEBUG
		checkType<T>();
#endif

		// Create one request
		req.add();

incardon's avatar
incardon committed
884
885
886
		// Number of processors
		v.resize(getProcessingUnits());

887
		// receive
incardon's avatar
incardon committed
888
		MPI_IAllGatherW<T>::gather(&send,1,v.getPointer(),1,req.last());
889
890

		return true;
891
892
893
	}

	/*! \brief Execute all the requests
incardon's avatar
incardon committed
894
895
896
897
898
899
	 *
	 */
	void execute()
	{
		int err = 0;

900
901
902
903
		// if req == 0 return
		if (req.size() == 0)
			return;

incardon's avatar
incardon committed
904
		// Wait for all the requests
905
		stat.resize(req.size());
incardon's avatar
incardon committed
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
		err = MPI_Waitall(req.size(),&req.get(0),&stat.get(0));

		// MPI error get the message and abort MPI
		if (err != MPI_SUCCESS)
		{
			char * error_msg = NULL;
			int len;
			MPI_Error_string(err,error_msg,&len);

			std::cerr << "Error MPI rank " << rank << ": " << error_msg << "\n";

			MPI_Abort(MPI_COMM_WORLD,1);
		}

		//! Remove executed request and status
		req.clear();
		stat.clear();
	}
924
925


incardon's avatar
incardon committed
926
927
};

Pietro Incardona's avatar
Pietro Incardona committed
928
// Function to initialize the global VCluster //
incardon's avatar
incardon committed
929
930
931

extern Vcluster * global_v_cluster;

Pietro Incardona's avatar
Pietro Incardona committed
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949

/*! \brief Initialize a global instance of Runtime Virtual Cluster Machine
 *
 * Initialize a global instance of Runtime Virtual Cluster Machine
 *
 */

static void init_global_v_cluster(int *argc, char ***argv)
{
	if (global_v_cluster == NULL)
		global_v_cluster = new Vcluster(argc,argv);
}

static void delete_global_v_cluster()
{
	delete global_v_cluster;
}

incardon's avatar
incardon committed
950
951
#endif