Example #1
0
    def __call__(self):
        from pyina import mpi, ensure_mpi
        import random
        from mystic.models import mogi; forward_mogi = mogi.evaluate

        ensure_mpi(size=2, doc=doc)

        world = mpi.world
        size = world.size
        stat = mpi.MPI.Status

        logging.info("I am rank %d of %d" % (world.rank, size))
        master = 0

        EXITTAG = 999
        if world.rank == master:
            # let's say I have a set of NJOBS points to test
            NJOBS = 100
            assert (EXITTAG > NJOBS)

            # all the "evaluation points" are the same, so broadcast to workers
            eval_at = array([[1,2],[2,3]])
            recv = world.bcast(eval_at, master)
            # the universe of params
            params = [[random.random() for _ in range(4)] for _ in range(NJOBS)]
            # now farm out to the workers
            numsent = 0
            for worker in range(1, size):
                logging.info("MASTER : First Send: Sending job %d to worker %d" % (numsent, worker))
                world.send(params[numsent], worker, numsent)
                numsent = numsent+1
            # start receiving
            for i in range(NJOBS):  
                logging.info("MASTER : Top of loop")
                status = stat()
                message = world.recv(status=status)
                sender = status.source
                anstag = status.tag
                logging.info("MASTER : Received job %d from worker %d" % (anstag, sender))
                #sleep(3)
                if (numsent < NJOBS):
                    # send next job
                    logging.info("MASTER : Sending job %d to worker %d" % (numsent, sender))
                    world.send(params[numsent], sender, numsent)
                    numsent = numsent + 1
                else:
                    # done
                    logging.info("MASTER : Sending DONE signal to worker %d" % (sender))
                    world.send("", sender, EXITTAG)
        else:
            eval_at = world.bcast("", master)
            #logging.info("Rank %d has message %s" % (world.rank, eval_at))
            for iter in range(99999):
                # receive job
                logging.info("   WORKER %d, iteration %d." % (world.rank, iter))
                status = stat()
                param = world.recv(source=master, status=status)
                tag = status.tag
                if tag == EXITTAG:
                    logging.info("   WORKER %d: is done." % world.rank)
                    return
                logging.info("   WORKER %d receiving job %d ... running" % (world.rank, tag))
                res = forward_mogi(param, eval_at)
                # send result back to master
                logging.info("   WORKER %d done running job %d, send results back to master" % (world.rank, tag))
                #sleep(2)
                world.send(res, master, tag)
        return
Example #2
0
# To run:  (use #nodes >= 2)

alias mpython='mpiexec -np [#nodes] `which python`'
mpython test_pmap.py
"""
# pick either mapping strategy
from pyina.mpi_scatter import parallel_map
#from pyina.mpi_pool import parallel_map


if __name__ == "__main__":

    from pyina import mpi, ensure_mpi
    world = mpi.world

    ensure_mpi(size=2, doc=doc)

    def func(input):
        import time
        from pyina import mpi
        world = mpi.world
        time.sleep(0.0001)
        return "-%d" % world.rank

    inputlist = []
    if world.rank == 0:
        inputlist = [0] * 300

    for i in range(20):
        if world.rank == 0:
            print "iteration %d" % i
Example #3
0
# To run:  (use #nodes >= 2)

alias mpython='mpiexec -np [#nodes] `which python`'
mpython test_pmap.py
"""
# pick either mapping strategy
from pyina.mpi_scatter import parallel_map
#from pyina.mpi_pool import parallel_map


if __name__ == "__main__":

    from pyina import mpi, ensure_mpi
    world = mpi.world

    ensure_mpi(size=2, doc=doc)

    def func(input):
        import time
        from pyina import mpi
        world = mpi.world
        time.sleep(0.0001)
        return "-%d" % world.rank

    inputlist = []
    if world.rank == 0:
        inputlist = [0] * 300

    for i in range(20):
        if world.rank == 0:
            print("iteration %d" % i)
Example #4
0
# To run:

alias mpython='mpiexec -np [#nodes] `which python`'
mpython test_parallelmap.py
"""

if __name__ == "__main__":

    from pyina.mpi_scatter import parallel_map
    from pyina.mpi_pool import parallel_map as parallel_map2

    from pyina import mpi, ensure_mpi

    world = mpi.world

    ensure_mpi()

    def func(input):
        """
        This function uses the safer subprocess module.
        """
        from subprocess import call

        if type(input) == list:
            print "Executing: %s" % " ".join(input)
        else:
            print "Executing: %s" % input
        retcode = call(input)
        return retcode

    def runshell(input):
Example #5
0
# To run:

alias mpython='mpiexec -np [#nodes] `which python`'
mpython test_parallelmap.py
"""

if __name__ == "__main__":

    from pyina.mpi_scatter import parallel_map
    from pyina.mpi_pool import parallel_map as parallel_map2

    from pyina import mpi, ensure_mpi
    world = mpi.world

    ensure_mpi()

    def func(input):
        """
        This function uses the safer subprocess module.
        """
        from subprocess import call
        if type(input) == list:
            print "Executing: %s" % ' '.join(input)
        else:
            print "Executing: %s" % input
        retcode = call(input)
        return retcode

    def runshell(input):
        """