starpu-max/doc/doxygen/chapters/api/mpi.doxy

/*
 * This file is part of the StarPU Handbook.
 * Copyright (C) 2009--2011  Universit@'e de Bordeaux
 * Copyright (C) 2010, 2011, 2012, 2013, 2014, 2015  Centre National de la Recherche Scientifique
 * Copyright (C) 2011, 2012 Institut National de Recherche en Informatique et Automatique
 * See the file version.doxy for copying conditions.
 */

/*! \defgroup API_MPI_Support MPI Support

@name Initialisation
\ingroup API_MPI_Support

\def STARPU_USE_MPI
\ingroup API_MPI_Support
This macro is defined when StarPU has been installed with MPI
support. It should be used in your code to detect the availability of
MPI.

\fn int starpu_mpi_init_comm(int *argc, char ***argv, int initialize_mpi, MPI_Comm comm)
\ingroup API_MPI_Support
Initializes the starpumpi library with the given communicator.
\p initialize_mpi indicates if MPI should be initialized or not by StarPU.
If the value is not 0, MPI will be initialized by calling
<c>MPI_Init_Thread(argc, argv, MPI_THREAD_SERIALIZED, ...)</c>.

\fn int starpu_mpi_init(int *argc, char ***argv, int initialize_mpi)
\ingroup API_MPI_Support
Call starpu_mpi_init_comm() with the MPI communicator MPI_COMM_WORLD.

\fn int starpu_mpi_initialize(void)
\deprecated
\ingroup API_MPI_Support
This function has been made deprecated. One should use instead the
function starpu_mpi_init(). This function does not call MPI_Init(), it
should be called beforehand.

\fn int starpu_mpi_initialize_extended(int *rank, int *world_size)
\deprecated
\ingroup API_MPI_Support
This function has been made deprecated. One should use instead the
function starpu_mpi_init(). MPI will be initialized by starpumpi by
calling <c>MPI_Init_Thread(argc, argv, MPI_THREAD_SERIALIZED,
...)</c>.

\fn int starpu_mpi_shutdown(void)
\ingroup API_MPI_Support
Cleans the starpumpi library. This must be called between calling
starpu_mpi functions and starpu_shutdown(). MPI_Finalize() will be
called if StarPU-MPI has been initialized by starpu_mpi_init().

\fn void starpu_mpi_comm_amounts_retrieve(size_t *comm_amounts)
\ingroup API_MPI_Support
Retrieve the current amount of communications from the current node in
the array \p comm_amounts which must have a size greater or equal to
the world size. Communications statistics must be enabled (see
\ref STARPU_COMM_STATS).

@name Communication
\anchor MPIPtpCommunication
\ingroup API_MPI_Support

\fn int starpu_mpi_send(starpu_data_handle_t data_handle, int dest, int mpi_tag, MPI_Comm comm)
\ingroup API_MPI_Support
Performs a standard-mode, blocking send of \p data_handle to the node
\p dest using the message tag \p mpi_tag within the communicator \p
comm.

\fn int starpu_mpi_recv(starpu_data_handle_t data_handle, int source, int mpi_tag, MPI_Comm comm, MPI_Status *status)
\ingroup API_MPI_Support
Performs a standard-mode, blocking receive in \p data_handle from the
node \p source using the message tag \p mpi_tag within the
communicator \p comm.

\fn int starpu_mpi_isend(starpu_data_handle_t data_handle, starpu_mpi_req *req, int dest, int mpi_tag, MPI_Comm comm)
\ingroup API_MPI_Support
Posts a standard-mode, non blocking send of \p data_handle to the node
\p dest using the message tag \p mpi_tag within the communicator \p
comm. After the call, the pointer to the request \p req can be used to
test or to wait for the completion of the communication.

\fn int starpu_mpi_irecv(starpu_data_handle_t data_handle, starpu_mpi_req *req, int source, int mpi_tag, MPI_Comm comm)
\ingroup API_MPI_Support
Posts a nonblocking receive in \p data_handle from the node \p source
using the message tag \p mpi_tag within the communicator \p comm.
After the call, the pointer to the request \p req can be used to test
or to wait for the completion of the communication.

\fn int starpu_mpi_isend_detached(starpu_data_handle_t data_handle, int dest, int mpi_tag, MPI_Comm comm, void (*callback)(void *), void *arg)
\ingroup API_MPI_Support
Posts a standard-mode, non blocking send of \p data_handle to the node
\p dest using the message tag \p mpi_tag within the communicator \p
comm. On completion, the \p callback function is called with the
argument \p arg.
Similarly to the pthread detached functionality, when a detached
communication completes, its resources are automatically released back
to the system, there is no need to test or to wait for the completion
of the request.

\fn int starpu_mpi_irecv_detached(starpu_data_handle_t data_handle, int source, int mpi_tag, MPI_Comm comm, void (*callback)(void *), void *arg)
\ingroup API_MPI_Support
Posts a nonblocking receive in \p data_handle from the node \p source
using the message tag \p mpi_tag within the communicator \p comm. On
completion, the \p callback function is called with the argument \p
arg.
Similarly to the pthread detached functionality, when a detached
communication completes, its resources are automatically released back
to the system, there is no need to test or to wait for the completion
of the request.

\fn int starpu_mpi_irecv_detached_sequential_consistency(starpu_data_handle_t data_handle, int source, int mpi_tag, MPI_Comm comm, void (*callback)(void *), void *arg, int sequential_consistency)
\ingroup API_MPI_Support
Posts a nonblocking receive in \p data_handle from the node \p source
using the message tag \p mpi_tag within the communicator \p comm. On
completion, the \p callback function is called with the argument \p
arg.
The parameter \p sequential_consistency allows to enable or disable
the sequential consistency for \p data handle (sequential consistency
will be enabled or disabled based on the value of the parameter \p
sequential_consistency and the value of the sequential consistency
defined for \p data_handle).
Similarly to the pthread detached functionality, when a detached
communication completes, its resources are automatically released back
to the system, there is no need to test or to wait for the completion
of the request.

\fn int starpu_mpi_issend(starpu_data_handle_t data_handle, starpu_mpi_req *req, int dest, int mpi_tag, MPI_Comm comm)
\ingroup API_MPI_Support
Performs a synchronous-mode, non-blocking send of \p data_handle to the node
\p dest using the message tag \p mpi_tag within the communicator \p
comm.

int starpu_mpi_issend_detached(starpu_data_handle_t data_handle, starpu_mpi_req *req, int dest, int mpi_tag, MPI_Comm comm, void (*callback)(void *), void *arg)
\ingroup API_MPI_Support
Performs a synchronous-mode, non-blocking send of \p data_handle to the node
\p dest using the message tag \p mpi_tag within the communicator \p
comm. On completion, the \p callback function is called with the argument \p
arg.
Similarly to the pthread detached functionality, when a detached
communication completes, its resources are automatically released back
to the system, there is no need to test or to wait for the completion
of the request.

\fn int starpu_mpi_wait(starpu_mpi_req *req, MPI_Status *status)
\ingroup API_MPI_Support
Returns when the operation identified by request \p req is complete.

\fn int starpu_mpi_test(starpu_mpi_req *req, int *flag, MPI_Status *status)
\ingroup API_MPI_Support
If the operation identified by \p req is complete, set \p flag to 1.
The \p status object is set to contain information on the completed
operation.

\fn int starpu_mpi_barrier(MPI_Comm comm)
\ingroup API_MPI_Support
Blocks the caller until all group members of the communicator \p comm
have called it.

\fn int starpu_mpi_isend_detached_unlock_tag(starpu_data_handle_t data_handle, int dest, int mpi_tag, MPI_Comm comm, starpu_tag_t tag)
\ingroup API_MPI_Support
Posts a standard-mode, non blocking send of \p data_handle to the node
\p dest using the message tag \p mpi_tag within the communicator \p
comm. On completion, \p tag is unlocked.

\fn int starpu_mpi_irecv_detached_unlock_tag(starpu_data_handle_t data_handle, int source, int mpi_tag, MPI_Comm comm, starpu_tag_t tag)
\ingroup API_MPI_Support
Posts a nonblocking receive in \p data_handle from the node \p source
using the message tag \p mpi_tag within the communicator \p comm. On
completion, \p tag is unlocked.

\fn int starpu_mpi_isend_array_detached_unlock_tag(unsigned array_size, starpu_data_handle_t *data_handle, int *dest, int *mpi_tag, MPI_Comm *comm, starpu_tag_t tag)
\ingroup API_MPI_Support
Posts \p array_size standard-mode, non blocking send. Each post sends
the n-th data of the array \p data_handle to the n-th node of the
array \p dest using the n-th message tag of the array \p mpi_tag
within the n-th communicator of the array \p comm. On completion of
the all the requests, \p tag is unlocked.

\fn int starpu_mpi_irecv_array_detached_unlock_tag(unsigned array_size, starpu_data_handle_t *data_handle, int *source, int *mpi_tag, MPI_Comm *comm, starpu_tag_t tag)
\ingroup API_MPI_Support
Posts \p array_size nonblocking receive. Each post receives in the n-th
data of the array \p data_handle from the n-th node of the array \p
source using the n-th message tag of the array \p mpi_tag within the
n-th communicator of the array \p comm. On completion of the all the
requests, \p tag is unlocked.

\fn int starpu_mpi_get_communication_tag(void)
\ingroup API_MPI_Support
todo

\fn void starpu_mpi_set_communication_tag(int tag)
\ingroup API_MPI_Support
todo

@name Communication Cache
\ingroup API_MPI_Support

\fn int starpu_mpi_cache_is_enabled()
\ingroup API_MPI_Support
Return 1 if the communication cache is enabled, 0 otherwise

\fn int starpu_mpi_cache_set(int enabled)
\ingroup API_MPI_Support
If \p enabled is 1, enable the communication cache. Otherwise, clean the cache if it was enabled and disable it.

\fn void starpu_mpi_cache_flush(MPI_Comm comm, starpu_data_handle_t data_handle)
\ingroup API_MPI_Support
Clear the send and receive communication cache for the data
\p data_handle and invalidate the value. The function has to be called synchronously by all the
MPI nodes. The function does nothing if the cache mechanism is
disabled (see \ref STARPU_MPI_CACHE).

\fn void starpu_mpi_cache_flush_all_data(MPI_Comm comm)
\ingroup API_MPI_Support
Clear the send and receive communication cache for all data and invalidate their values. The
function has to be called synchronously by all the MPI nodes. The
function does nothing if the cache mechanism is disabled (see
\ref STARPU_MPI_CACHE).

@name MPI Insert Task
\anchor MPIInsertTask
\ingroup API_MPI_Support

\fn void starpu_mpi_data_register_comm(starpu_data_handle_t data_handle, int tag, int rank, MPI_Comm comm)
\ingroup API_MPI_Support
Register to MPI a StarPU data handle with the given tag, rank and MPI communicator.
It also automatically clears the MPI communication cache when unregistering the data.

\fn int starpu_mpi_data_register(starpu_data_handle_t handle, int tag, int rank)
\ingroup API_MPI_Support
Register to MPI a StarPU data handle with the given tag, rank and the MPI communicator MPI_COMM_WORLD.
It also automatically clears the MPI communication cache when unregistering the data.

\fn void starpu_mpi_data_set_tag(starpu_data_handle_t handle, int tag)
\ingroup API_MPI_Support
Register to MPI a StarPU data handle with the given tag. No rank will be defined.
It also automatically clears the MPI communication cache when unregistering the data.

\def starpu_data_set_tag
\ingroup API_MPI_Support
Symbol kept for backward compatibility. Calling function starpu_mpi_data_set_tag

\int starpu_mpi_data_set_rank(starpu_data_handle_t handle, int rank)
\ingroup API_MPI_Support
Register to MPI a StarPU data handle with the given rank and the MPI communicator MPI_COMM_WORLD. No tag will be defined.
It also automatically clears the MPI communication cache when unregistering the data.

\def starpu_data_set_rank
\ingroup API_MPI_Support
Symbol kept for backward compatibility. Calling function starpu_mpi_data_set_rank

\fn int starpu_mpi_data_get_rank(starpu_data_handle_t handle)
\ingroup API_MPI_Support
Return the rank of the given data.

\fn int starpu_mpi_data_get_tag(starpu_data_handle_t handle)
\ingroup API_MPI_Support
Return the tag of the given data.

\def STARPU_EXECUTE_ON_NODE
\ingroup API_MPI_Support
this macro is used when calling starpu_mpi_task_insert(), and must be
followed by a integer value which specified the node on which to
execute the codelet.

\def STARPU_EXECUTE_ON_DATA
\ingroup API_MPI_Support
this macro is used when calling starpu_mpi_task_insert(), and must be
followed by a data handle to specify that the node owning the given
data will execute the codelet.

\fn int starpu_mpi_insert_task(MPI_Comm comm, struct starpu_codelet *codelet, ...)
\ingroup API_MPI_Support
This function does the same as the function starpu_mpi_task_insert(). It has been kept to avoid breaking old codes.

\fn int starpu_mpi_task_insert(MPI_Comm comm, struct starpu_codelet *codelet, ...)
\ingroup API_MPI_Support
Create and submit a task corresponding to codelet with the following
arguments. The argument list must be zero-terminated.

The arguments following the codelet are the same types as for the
function starpu_task_insert(). Access modes for data can also be set
with ::STARPU_SSEND to specify the data has to be sent using a
synchronous and non-blocking mode (see starpu_mpi_issend()).
The extra argument
::STARPU_EXECUTE_ON_NODE followed by an integer allows to specify the
MPI node to execute the codelet. It is also possible to specify that
the node owning a specific data will execute the codelet, by using
::STARPU_EXECUTE_ON_DATA followed by a data handle.

The internal algorithm is as follows:
<ol>
<li>
        Find out which MPI node is going to execute the codelet.
        <ul>
            <li>If there is only one node owning data in ::STARPU_W mode, it will be selected;
            <li>If there is several nodes owning data in ::STARPU_W node, a node will be selected according to a given node selection policy (see ::STARPU_NODE_SELECTION_POLICY or starpu_mpi_node_selection_set_current_policy())
            <li>The argument ::STARPU_EXECUTE_ON_NODE followed by an integer can be used to specify the node;
            <li>The argument ::STARPU_EXECUTE_ON_DATA followed by a data handle can be used to specify that the node owing the given data will execute the codelet.
        </ul>
</li>
<li>
        Send and receive data as requested. Nodes owning data which need to be read by the task are sending them to the MPI node which will execute it. The latter receives them.
</li>
<li>
        Execute the codelet. This is done by the MPI node selected in the 1st step of the algorithm.
</li>
<li>
        If several MPI nodes own data to be written to, send written data back to their owners.
</li>
</ol>

The algorithm also includes a communication cache mechanism that
allows not to send data twice to the same MPI node, unless the data
has been modified. The cache can be disabled (see \ref STARPU_MPI_CACHE).

\fn struct starpu_task *starpu_mpi_task_build(MPI_Comm comm, struct starpu_codelet *codelet, ...)
\ingroup API_MPI_Support
Create a task corresponding to codelet with the following arguments.
The argument list must be zero-terminated. The function performs the
first two steps of the function starpu_mpi_task_insert(). Only the MPI
node selected in the first step of the algorithm will return a valid
task structure which can then be submitted. The function
starpu_mpi_task_post_build() MUST be called after the submission of
the task, with the SAME list of arguments.

\fn int starpu_mpi_task_post_build(MPI_Comm comm, struct starpu_codelet *codelet, ...)
\ingroup API_MPI_Support
This function MUST be called after a call to starpu_mpi_task_build(),
with the SAME list of arguments. It performs the fourth -- last -- step of the algorithm described in
starpu_mpi_task_insert().

\fn void starpu_mpi_get_data_on_node(MPI_Comm comm, starpu_data_handle_t data_handle, int node)
\ingroup API_MPI_Support
Transfer data \p data_handle to MPI node \p node, sending it from its
owner if needed. At least the target node and the owner have to call
the function.

\fn void starpu_mpi_get_data_on_node_detached(MPI_Comm comm, starpu_data_handle_t data_handle, int node, void (*callback)(void*), void *arg)
\ingroup API_MPI_Support
Transfer data \p data_handle to MPI node \p node, sending it from its
owner if needed. At least the target node and the owner have to call
the function. On reception, the \p callback function is called with
the argument \p arg.

@name Node Selection Policy
\anchor MPINodeSelectionPolicy
\ingroup API_MPI_Support

\fn int starpu_mpi_node_selection_get_current_policy()
\ingroup API_MPI_Support
Return the current policy used to select the node which will execute the codelet

\fn int starpu_mpi_node_selection_set_current_policy(int policy)
\ingroup API_MPI_Support
Set the current policy used to select the node which will
execute the codelet. The policy STARPU_MPI_NODE_SELECTION_MOST_R_DATA selects the
node having the most data in R mode so as to minimize the amount of
data to be transfered.

\fn int starpu_mpi_node_selection_register_policy(starpu_mpi_select_node_policy_func_t policy_func)
\ingroup API_MPI_Support
Register a new policy which can then be used when there is several nodes owning data in W mode.
Here an example of function defining a node selection policy.
The codelet will be executed on the node owing the first data with a size bigger than 1M, or on the node
0 if no data fits the given size.
\code{.c}
int my_node_selection_policy(int me, int nb_nodes, struct starpu_data_descr *descr, int nb_data)
{
	// me is the current MPI rank
	// nb_nodes is the number of MPI nodes
	// descr is the description of the data specified when calling starpu_mpi_task_insert
	// nb_data is the number of data in descr
	int i;
	for(i= 0 ; i<nb_data ; i++)
	{
		starpu_data_handle_t data = descr[i].handle;
		enum starpu_data_access_mode mode = descr[i].mode;
		if (mode & STARPU_R)
		{
			int rank = starpu_data_get_rank(data);
			size_t size = starpu_data_get_size(data);
			if (size > 1024*1024) return rank;
		}
	}
	return 0;
}
\endcode

\fn int starpu_mpi_node_selection_unregister_policy(int policy)
\ingroup API_MPI_Support
Unregister a previously registered policy.

@name Collective Operations
\anchor MPICollectiveOperations
\ingroup API_MPI_Support

\fn void starpu_mpi_redux_data(MPI_Comm comm, starpu_data_handle_t data_handle)
\ingroup API_MPI_Support
Perform a reduction on the given data. All nodes send the data to its
owner node which will perform a reduction.

\fn int starpu_mpi_scatter_detached(starpu_data_handle_t *data_handles, int count, int root, MPI_Comm comm, void (*scallback)(void *), void *sarg, void (*rcallback)(void *), void *rarg)
\ingroup API_MPI_Support
Scatter data among processes of the communicator based on the
ownership of the data. For each data of the array \p data_handles, the
process \p root sends the data to the process owning this data. Processes
receiving data must have valid data handles to receive them. On
completion of the collective communication, the \p scallback function is
called with the argument \p sarg on the process \p root, the \p
rcallback function is called with the argument \p rarg on any other
process.

\fn int starpu_mpi_gather_detached(starpu_data_handle_t *data_handles, int count, int root, MPI_Comm comm, void (*scallback)(void *), void *sarg, void (*rcallback)(void *), void *rarg)
\ingroup API_MPI_Support
Gather data from the different processes of the communicator onto the
process \p root. Each process owning data handle in the array
\p data_handles will send them to the process \p root. The process \p
root must have valid data handles to receive the data. On completion
of the collective communication, the \p rcallback function is called
with the argument \p rarg on the process root, the \p scallback
function is called with the argument \p sarg on any other process.

*/