def update(self):
"""Update particles. This method simply partitions the particles
equally among the processors.
"""
logger.debug("SimpleParallelManager.update()")
comm = self.comm
rank = self.rank
size = self.size
local_data = self.particles.arrays
# Remove remotes from the local.
for arr in local_data:
remove = arange_long(arr.num_real_particles, arr.get_number_of_particles())
arr.remove_particles(remove)
# everybody sets the pid for their local arrays
arr.set_pid(rank)
comm.Barrier()
# Collect all the local arrays and then broadcast them.
data = comm.gather(local_data, root=0)
data = comm.bcast(data, root=0)
# Now set the remote data's tags to Dummy and add the arrays to
# the local.
for i in range(size):
if i != rank:
for j, arr in enumerate(data[i]):
tag = arr.get_carray('tag')
tag.get_npy_array()[:] = Dummy
#local = arr.get_carray('local')
#local.get_npy_array()[:] = 0
local_data[j].append_parray(arr)
return
def _remove_remote_particles(self):
"""Remove all remote particles."""
for array in self.arrays:
to_remove = arange_long(array.num_real_particles,
array.get_number_of_particles())
array.remove_particles(to_remove)
