VCluster.hpp 26.3 KB
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#ifndef VCLUSTER
#define VCLUSTER

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#include "config.h"
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#include <mpi.h>
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#include "MPI_wrapper/MPI_util.hpp"
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#include "VCluster_object.hpp"
#include "VCluster_object_array.hpp"
#include "Vector/map_vector.hpp"
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#include "MPI_wrapper/MPI_IallreduceW.hpp"
#include "MPI_wrapper/MPI_IrecvW.hpp"
#include "MPI_wrapper/MPI_IsendW.hpp"
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#include "MPI_wrapper/MPI_IAllGather.hpp"
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#include <exception>
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#include "Vector/map_vector.hpp"
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#ifdef DEBUG
#include "util/check_no_pointers.hpp"
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#include "util/util_debug.hpp"
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#endif
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#include "util/Vcluster_log.hpp"
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#define MSG_LENGTH 1024
#define MSG_SEND_RECV 1025
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#define SEND_SPARSE 4096
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#define NONE 1
#define NEED_ALL_SIZE 2

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#define SERIVCE_MESSAGE_TAG 16384
#define SEND_RECV_BASE 8192
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#define GATHER_BASE 24576
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// number of vcluster instances
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extern size_t n_vcluster;
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// Global MPI initialization
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extern bool global_mpi_init;

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///////////////////// 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
{
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	Vcluster_log log;

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	//! 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
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	size_t NBX_cnt;
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	// 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()
	{
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#ifdef SE_CLASS2
		check_delete(this);
#endif
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		n_vcluster--;
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		// if there are no other vcluster instances finalize
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		if (n_vcluster == 0)
		{
			std::cout << "Finalize\n";
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			int already_finalised;

			MPI_Finalized(&already_finalised);
			if (!already_finalised)
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			{
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				if (MPI_Finalize() != 0)
				{
					std::cerr << __FILE__ << ":" << __LINE__  << " MPI_Finalize FAILED \n";
				}
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			}
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		}
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	}

	//! \brief Virtual cluster constructor
	Vcluster(int *argc, char ***argv)
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	:NBX_cnt(0)
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	{
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#ifdef SE_CLASS2
		check_new(this,8,VCLUSTER_EVENT,PRJ_VCLUSTER);
#endif

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		n_vcluster++;
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		int already_initialised;
		MPI_Initialized(&already_initialised);

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		// Check if MPI is already initialized
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		if (!already_initialised)
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		{
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			MPI_Init(argc,argv);
		}
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		//! 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);

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#ifdef SE_CLASS2
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			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;
		}
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		// open the log file
		log.openLog(rank);
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	}

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#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:
			{
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				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" ;
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				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

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	//! 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
	 *
	 */

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	template<typename T> void sum(T & num)
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	{
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#ifdef DEBUG
		checkType<T>();
#endif

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		// reduce over MPI

		// Create one request
		req.add();

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

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	/*! \brief Get the maximum number across all processors (or reduction with insinity norm)
	 *
	 * \param num to reduce
	 *
	 */

	template<typename T> void max(T & num)
	{
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#ifdef DEBUG
		checkType<T>();
#endif
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		// reduce over MPI

		// Create one request
		req.add();

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

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	// 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;

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	// barrier request
	MPI_Request bar_req;
	// barrier status
	MPI_Status bar_stat;

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	// Distributed processor graph
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//	MPI_Comm proc_comm_graph;
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	/*! \brief
	 *
	 * Set the near processor of this processors
	 *
	 */

	openfpm::vector<size_t> NN_proc;

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/*	void setLocality(openfpm::vector<size_t> NN_proc)
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	{
		// 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);
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	}*/
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	/*! \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
	 *
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	 * \param v vector containing the data to send (it is allowed to have 0 size vector)
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	 *
	 * \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)
	{
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#ifdef DEBUG
		checkType<typename T::value_type>();
#endif
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		// 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);
	}

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	/*! \brief Send and receive multiple messages
	 *
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	 * It send multiple messages and receive
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	 * other multiple messages, all the processor must call this
	 * function
	 *
	 * \param prc list of processors with which it should communicate
	 *
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	 * \param nn_prc near processors
	 *
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	 * \param v vector containing the data to send
	 *
	 * \param msg_alloc This is a call-back with the purpose of allocate space
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	 *        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
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	 *
	 * \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]
	 *
	 */

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	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)
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	{
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#ifdef DEBUG
		checkType<typename T::value_type>();
#endif
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		// 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);
		}

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		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)
	{
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		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();
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		req.clear();
		// Do MPI_Issend

		for (size_t i = 0 ; i < n_send ; i++)
		{
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			if (sz[i] != 0)
			{
				req.add();
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				MPI_SAFE_CALL(MPI_Issend(ptr[i], sz[i], MPI_BYTE, prc[i], SEND_SPARSE + NBX_cnt, MPI_COMM_WORLD,&req.last()));
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				log.logSend(prc[i]);
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			}
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		}

		size_t rid = 0;
		int flag = false;

		bool reached_bar_req = false;

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		log.start(10);

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		// Wait that all the send are acknowledge
		do
		{
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			// flag that notify that this processor reach the barrier
			// Barrier request

			MPI_Status stat_t;
			int stat = false;
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			MPI_SAFE_CALL(MPI_Iprobe(MPI_ANY_SOURCE,SEND_SPARSE + NBX_cnt,MPI_COMM_WORLD,&stat,&stat_t));
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			// If I have an incoming message and is related to this NBX communication
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			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);

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				// Log the receiving request
				log.logRecv(stat_t);

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				rid++;

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				MPI_SAFE_CALL(MPI_Recv(ptr,msize,MPI_BYTE,stat_t.MPI_SOURCE,SEND_SPARSE+NBX_cnt,MPI_COMM_WORLD,&stat_t));
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			}

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

			if (reached_bar_req == false)
			{
				int flag = false;
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				if (req.size() != 0)
				{MPI_SAFE_CALL(MPI_Testall(req.size(),&req.get(0),&flag,MPI_STATUSES_IGNORE));}
				else
					flag = true;
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				// If all send has been completed
				if (flag == true)
				{MPI_SAFE_CALL(MPI_Ibarrier(MPI_COMM_WORLD,&bar_req));reached_bar_req = true;}
			}

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			// Check if all processor reached the async barrier
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			if (reached_bar_req)
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			{MPI_SAFE_CALL(MPI_Test(&bar_req,&flag,&bar_stat))};
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			// produce a report if communication get stuck
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			log.NBXreport(NBX_cnt,req,reached_bar_req,bar_stat);
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		} while (flag == false);

		// Remove the executed request

		req.clear();
		stat.clear();
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		log.clear();
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		// Circular counter
		NBX_cnt = (NBX_cnt + 1) % 1024;
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	}

	/*! \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]
	 *
	 */

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	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)
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	{
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		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();
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		req.clear();
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		req.add();
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		stat.add();
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		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());
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		if (req.size() != 0) {MPI_SAFE_CALL(MPI_Waitall(req.size(),&req.get(0),&stat.get(0)));}
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		// 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++)
		{
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			void * ptr = msg_alloc(proc_com.get(i),total_msg,n_proc_com,proc_com.get(n_proc_com+i),i,ptr_arg);
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			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());
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		if (req.size() != 0) {MPI_SAFE_CALL(MPI_Waitall(req.size(),&req.get(0),&stat.get(0)));}
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		// Remove the executed request

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

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	/*! \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
	 *
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	 * \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;
	}

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	/*! \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
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	 *
	 * \see sendRecvMultipleMessages
	 *
	 * \param proc processor id
	 * \param tag id
	 * \param v buffer to send
	 *
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	 * \return true if succeed false otherwise
	 *
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	 */
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	template<typename T, typename Mem, typename gr> bool send(size_t proc, size_t tag, openfpm::vector<T,Mem,gr> & v)
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	{
#ifdef DEBUG
		checkType<T>();
#endif

		// send over MPI

		// Create one request
		req.add();

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		// send
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		MPI_IsendW<T,Mem,gr>::send(proc,SEND_RECV_BASE + tag,v,req.last());
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		return true;
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	}

	/*! \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
	 *
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	 * \warning operation is asynchronous execute must be called to ensure they are executed
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	 *
	 * \see sendRecvMultipleMessages
	 *
	 * \param proc processor id
	 * \param tag id
	 * \param v buffer to send
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	 * \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;
	}

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    /*! \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
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	 *
	 * \warning operation is asynchronous execute must be called to ensure they are executed
	 *
	 * \param tag id
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	 * \param v vector to receive
	 * \param send data to send
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	 *
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	 * \return true if succeed false otherwise
	 *
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	 */
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	template<typename T, typename Mem, typename gr> bool allGather(T & send, openfpm::vector<T,Mem,gr> & v)
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	{
#ifdef DEBUG
		checkType<T>();
#endif

		// Create one request
		req.add();

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		// Number of processors
		v.resize(getProcessingUnits());

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		// receive
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		MPI_IAllGatherW<T>::gather(&send,1,v.getPointer(),1,req.last());
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		return true;
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	}

	/*! \brief Execute all the requests
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	 *
	 */
	void execute()
	{
		int err = 0;

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		// if req == 0 return
		if (req.size() == 0)
			return;

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		// Wait for all the requests
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		stat.resize(req.size());
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		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();
	}
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};

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// Function to initialize the global VCluster //
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extern Vcluster * global_v_cluster;

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/*! \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;
}

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#endif