3.2. pyopus.parallel.mpi
— A virtual machine based on the MPI library¶
A virtual machine based on MPI and mpi4py (PyOPUS subsystem name: MPI)
Attempts to import mpi4py
. If import fails the mpi4py wrapper for the
MPI library is not available on the computer and an arror is raised.
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class
pyopus.parallel.mpi.
MPIHostID
(name)¶ A MPI host ID class based on the
HostID
class.In the MPI library does not provide host IDs so we use hostnames. Invalid host ID has
None
for hostname.The actual hostname can be accessed as the
name
member.See the
HostID
class for more information.-
static
bad
()¶ A static member function. Called with
MPIHostID.bad()
. Returns an invalid host ID.
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static
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class
pyopus.parallel.mpi.
MPITaskID
(rank, number=None)¶ A MPI task ID class based on the
TaskID
class.A task ID is composed of MPI rank and task number which is assigned by the spawner. Valid task IDs have nonnegative rank.
The actual rank and task number can be accessed as
rank
andnumber
members.See the
TaskID
class for more information.-
static
bad
()¶ A static member function. Called with
MPITaskID.bad()
. Returns an invalid task ID.
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static
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class
pyopus.parallel.mpi.
MPI
(debug=0, startupDir=None, translateStartupDir=True, mirrorMap=None, persistentStorage=False)¶ A virtual machine class based on the mpi4py wrapper for MPI.
One task (rank 0) is the spawner and does all the spawning. This is the main task that runs the main program. Other tasks (rank>0) are workers. Workers run a spawn loop in which they receive spawn requests from the spawner. A worker can run one spawned task at a time. If the task fails (caught exception), the spawner is notified, upon which the loop expects a new spawn requst. If a task finishes cleanly the spawner is also notified. The point at which the spawner and the workers separate is in the
spawnerBarrier()
method (this is also the place where the worker’s spawn loop is entered. The spawner is the only task that returns fromspawnerBarrier()
. Workers exit the spawn loop only when they receive an exit request from the spawner (i.e. only when the MPI application is about to terminate).Assumes homogeneous clusters. This means that LINUX32 and LINUX64 are not homogeneous, as well as LINUX32 and WINDOWS32. Inhomogenous clusters are possible if the undelying MPI library has supports for this feature.
See the
VirtualMachine
class for more information on the constructor.-
checkForIncoming
(fromDestination=None)¶ Returns
True
if there is a message waiting to be received.fromDestination is the
MPITaskID
of the message source.None
implies any source.
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static
finalize
()¶ Asks workers to exit politely. Then calls Finalize().
See
VirtualMachine.finalize()
for more information.
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static
formatSpawnerConfig
()¶ Formats the configuration information gathered by a spawner task as a string. Works only if called by a spawner task.
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static
freeSlots
()¶ Returns the number of free slots for tasks in the virtual machine. The slot bookkeeping is done by hand.
Works only on the spawner.
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static
freeSlotsSet
()¶ Returns the slot numbers of free slots.
Works only on the spawner.
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static
hostID
(taskID=None)¶ Returns the
MPIHostID
object corresponding to task.If task is not specified, the
MPIHostID
object corresponding to the caller task is returned.
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static
hosts
()¶ Returns a list of
MPIHostID
objects corresponding to all hosts.Works only on the spawner.
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static
hostsWithFreeSlots
()¶ Returns set of objects of class
HostID
corresponding to hosts with at least one free slot.Works only on the spawner.
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static
parentTaskID
()¶ Returns the
MPITaskID
object corresponding to the task that spawned the caller task.
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receiveMessage
(timeout=-1.0, fromDestination=None)¶ Receives a message (a Python object) and returns a tuple (senderTaskId, message)
The sender of the message can be identified through the senderTaskId object of class
MPITaskID
.If timeout (seconds) is negative the function waits (blocks) until some message arrives. If timeout>0 seconds pass without receiving a message, an empty tuple is returned. Zero timeout performs a nonblocking receive which returns an empty tuple if no message is received. Note that timeout>0 is implemented a bit kludgy with a poll loop.
In case of an error or discarded message returns
None
.Handles transparently all
- task exit notification messages
- spawned function return value messages
Discards all other low-level MPI messages that were not sent with the
sendMessage()
method.
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sendMessage
(destination, message)¶ Sends message (a Python object) to a task with
MPITaskID
destination. ReturnsTrue
on success.Sends also our own task number and the destination task number.
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setWorkerDebug
(debug=0)¶ Sets the worker debug message level to debug.
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static
slots
()¶ Returns the number of slots for tasks in a virtual machine. Works only on the spawner.
Calls mpi.COMM_WORLD.Get_size().
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spawnFunction
(function, args=(), kwargs={}, count=None, targetList=None, sendBack=True)¶ Spawns count instances of a Python function on remote hosts and passes args and kwargs to the function. Spawning a function does not start a new Python interpreter. A worker is running is a spawn loop where spawn requests are executed.
targetList specifies the hosts on which the tasks are started.
If sendBack is
True
the status and the return value of the spawned function are sent back to the spawner with apyopus.parallel.base.MsgTaskResult
message when the spawned function returns.Invokes the
runFunctionWithArgs()
function on the remote host for starting the spawned function.If spawning succeeds, updates the
vmStatus
attribute.Spawns only in free slots. Works only on the spawner.
Returns a list of
MPITaskID
objects representing the spawned tasks.See the
spawnFunction()
method of theVirtualMachine
class for more information.
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vmStatus
= {'hosts': {'calypso': {'ncpu': 8, 'freeSlots': set(), 'slots': {0}}}, 'freeSlots': set(), 'freeHosts': set(), 'slots': {0: {'pid': 11726, 'taskNumber': 0, 'host': 'calypso'}}, 'slot2host': {0: 'calypso'}, 'usedSlots': {0}}¶ Static member that appears once per every Python process using the MPI library. Available only on the spawner.
Represents the status of the MPI virtual machine.
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