Specialization of CollectiveCommunication for MPI. More...

#include <dune/common/parallel/mpicollectivecommunication.hh>

Public Member Functions
	CollectiveCommunication (const MPI_Comm &c)
	Instantiation using a MPI communicator.

int	rank () const
	Return rank, is between 0 and size()-1. More...

int	size () const
	Number of processes in set, is greater than 0. More...

template<typename T >
T	sum (T &in) const
	Compute the sum of the argument over all processes and return the result in every process. Assumes that T has an operator+. More...

template<typename T >
int	sum (T *inout, int len) const
	Compute the sum of the argument over all processes and return the result in every process. Assumes that T has an operator+. More...

template<typename T >
T	prod (T &in) const
	Compute the product of the argument over all processes and return the result in every process. Assumes that T has an operator*. More...

template<typename T >
int	prod (T *inout, int len) const
	Compute the product of the argument over all processes and return the result in every process. Assumes that T has an operator*. More...

template<typename T >
T	min (T &in) const
	Compute the minimum of the argument over all processes and return the result in every process. Assumes that T has an operator<. More...

template<typename T >
int	min (T *inout, int len) const
	Compute the minimum of the argument over all processes and return the result in every process. Assumes that T has an operator<. More...

template<typename T >
T	max (T &in) const
	Compute the maximum of the argument over all processes and return the result in every process. Assumes that T has an operator<. More...

template<typename T >
int	max (T *inout, int len) const
	Compute the maximum of the argument over all processes and return the result in every process. Assumes that T has an operator<. More...

int	barrier () const
	Wait until all processes have arrived at this point in the program. More...

template<typename T >
int	broadcast (T *inout, int len, int root) const
	Distribute an array from the process with rank root to all other processes. More...

template<typename T >
int	gather (T in, T out, int len, int root) const
	Gather arrays on root task. More...

template<typename T >
int	scatter (T send, T recv, int len, int root) const
	Scatter array from a root to all other task. More...

template<typename T , typename T1 >
int	allgather (T sbuf, int count, T1 rbuf) const
	Gathers data from all tasks and distribute it to all. More...

template<typename BinaryFunction , typename Type >
int	allreduce (Type *inout, int len) const
	Compute something over all processes for each component of an array and return the result in every process. More...

template<typename BinaryFunction , typename Type >
int	allreduce (Type in, Type out, int len) const
	Compute something over all processes for each component of an array and return the result in every process. More...

Detailed Description

Specialization of CollectiveCommunication for MPI.

Member Function Documentation

◆ allgather()

template<typename T , typename T1 >

int Dune::CollectiveCommunication< MPI_Comm >::allgather	(	T *	sbuf,
		int	count,
		T1 *	rbuf
	)		const

inline

Gathers data from all tasks and distribute it to all.

The block of data sent from the jth process is received by every process and placed in the jth block of the buffer recvbuf.

Parameters

[in]	sbuf	The buffer with the data to send. Has to be the same for each task.
[in]	count	The number of elements to send by any process.
[out]	rbuf	The receive buffer for the data. Has to be of size notasks*count, with notasks being the number of tasks in the communicator.

◆ allreduce() [1/2]

template<typename BinaryFunction , typename Type >

int Dune::CollectiveCommunication< MPI_Comm >::allreduce	(	Type *	in,
		Type *	out,
		int	len
	)		const

inline

Compute something over all processes for each component of an array and return the result in every process.

The template parameter BinaryFunction is the type of the binary function to use for the computation

Parameters

in	The array to compute on.
out	The array to store the results in.
len	The number of components in the array

◆ allreduce() [2/2]

template<typename BinaryFunction , typename Type >

int Dune::CollectiveCommunication< MPI_Comm >::allreduce	(	Type *	inout,
		int	len
	)		const

inline

Compute something over all processes for each component of an array and return the result in every process.

The template parameter BinaryFunction is the type of the binary function to use for the computation

Parameters

inout	The array to compute on.
len	The number of components in the array

◆ barrier()

int Dune::CollectiveCommunication< MPI_Comm >::barrier ( ) const

inline

Wait until all processes have arrived at this point in the program.

Referenced by Dune::graphRepartition().

◆ broadcast()

template<typename T >

int Dune::CollectiveCommunication< MPI_Comm >::broadcast	(	T *	inout,
		int	len,
		int	root
	)		const

inline

Distribute an array from the process with rank root to all other processes.

◆ gather()

template<typename T >

int Dune::CollectiveCommunication< MPI_Comm >::gather	(	T *	in,
		T *	out,
		int	len,
		int	root
	)		const

inline

Gather arrays on root task.

Each process sends its in array of length len to the root process (including the root itself). In the root process these arrays are stored in rank order in the out array which must have size len * number of processes.

Parameters

[in]	in	The send buffer with the data to send.
[out]	out	The buffer to store the received data in. Might have length zero on non-root tasks.
[in]	len	The number of elements to send on each task.
[out]	root	The root task that gathers the data.

Note: out must have space for P*len elements

◆ max() [1/2]

template<typename T >

T Dune::CollectiveCommunication< MPI_Comm >::max ( T & in ) const

inline

Compute the maximum of the argument over all processes and return the result in every process. Assumes that T has an operator<.

Referenced by Dune::YaspGrid< dim >::preAdapt().

◆ max() [2/2]

template<typename T >

int Dune::CollectiveCommunication< MPI_Comm >::max	(	T *	inout,
		int	len
	)		const

inline

Compute the maximum of the argument over all processes and return the result in every process. Assumes that T has an operator<.

◆ min() [1/2]

template<typename T >

T Dune::CollectiveCommunication< MPI_Comm >::min ( T & in ) const

inline

Compute the minimum of the argument over all processes and return the result in every process. Assumes that T has an operator<.

◆ min() [2/2]

template<typename T >

int Dune::CollectiveCommunication< MPI_Comm >::min	(	T *	inout,
		int	len
	)		const

inline

Compute the minimum of the argument over all processes and return the result in every process. Assumes that T has an operator<.

◆ prod() [1/2]

template<typename T >

T Dune::CollectiveCommunication< MPI_Comm >::prod ( T & in ) const

inline

Compute the product of the argument over all processes and return the result in every process. Assumes that T has an operator*.

◆ prod() [2/2]

template<typename T >

int Dune::CollectiveCommunication< MPI_Comm >::prod	(	T *	inout,
		int	len
	)		const

inline

Compute the product of the argument over all processes and return the result in every process. Assumes that T has an operator*.

◆ rank()

int Dune::CollectiveCommunication< MPI_Comm >::rank ( ) const

inline

Return rank, is between 0 and size()-1.

Referenced by Dune::graphRepartition(), and Dune::storeMatrixMarket().

◆ scatter()

template<typename T >

int Dune::CollectiveCommunication< MPI_Comm >::scatter	(	T *	send,
		T *	recv,
		int	len,
		int	root
	)		const

inline

Scatter array from a root to all other task.

The root process sends the elements with index from k*len to (k+1)*len-1 in its array to task k, which stores it at index 0 to len-1.

Parameters

[in]	send	The array to scatter. Might have length zero on non-root tasks.
[out]	recv	The buffer to store the received data in. Upon completion of the method each task will have same data stored there as the one in send buffer of the root task before.
[in]	len	The number of elements in the recv buffer.
[out]	root	The root task that gathers the data.

Note: out must have space for P*len elements

◆ size()

int Dune::CollectiveCommunication< MPI_Comm >::size ( ) const

inline

Number of processes in set, is greater than 0.

Referenced by Dune::graphRepartition().

◆ sum() [1/2]

template<typename T >

T Dune::CollectiveCommunication< MPI_Comm >::sum ( T & in ) const

inline

Compute the sum of the argument over all processes and return the result in every process. Assumes that T has an operator+.

Referenced by Dune::OwnerOverlapCopyCommunication< GlobalIdType, LocalIdType >::dot(), and Dune::OwnerOverlapCopyCommunication< GlobalIdType, LocalIdType >::norm().

◆ sum() [2/2]

template<typename T >

int Dune::CollectiveCommunication< MPI_Comm >::sum	(	T *	inout,
		int	len
	)		const

inline

Compute the sum of the argument over all processes and return the result in every process. Assumes that T has an operator+.

The documentation for this class was generated from the following file:

dune/common/parallel/mpicollectivecommunication.hh

DUNE Distributed and Unified Numerics Environment

Dune Core Modules (2.3.1)

Public Member Functions

Detailed Description

Member Function Documentation

◆ allgather()

◆ allreduce() [1/2]

◆ allreduce() [2/2]

◆ barrier()

◆ broadcast()

◆ gather()

◆ max() [1/2]

◆ max() [2/2]

◆ min() [1/2]

◆ min() [2/2]

◆ prod() [1/2]

◆ prod() [2/2]

◆ rank()

◆ scatter()

◆ size()

◆ sum() [1/2]

◆ sum() [2/2]