class AmuseProcessor(object):
def __init__(self,
hosts=[],
preamble="pass",
channel_type="mpi",
verbose=False):
from amuse.ext.job_server import JobServer
self.preamble = preamble
self.amuse_servers = hosts
self.job_server = JobServer(self.amuse_servers,
channel_type=channel_type,
preamble=self.preamble,
verbose=verbose,
no_wait=True)
@property
def nproc(Self):
return self.job_server.number_available_codes
def exec_(self, arg):
self.job_server.exec_(arg)
def submit_job(self, f, args=(), kwargs={}):
return self.job_server.submit_job(f, args, kwargs)
def wait(self):
return self.job_server.wait()
@property
def last_finished_job(self):
return self.job_server.last_finished_job
def example_parallel_jobs_1(N):
from socket import gethostname
jobserver=JobServer(["localhost"]*2,channel_type="mpi")
print
for i in range(N):
jobserver.submit_job(somework, (i,))
i=0
while jobserver.wait():
job=jobserver.last_finished_job
print job.args[0],job.result
def example_parallel_jobs_1(N):
from socket import gethostname
jobserver = JobServer(["localhost"] * 2, channel_type="mpi")
print
for i in range(N):
jobserver.submit_job(somework, (i, ))
i = 0
while jobserver.wait():
job = jobserver.last_finished_job
print job.args[0], job.result
def example_parallel_jobs(N,Nhosts=1):
jobserver=JobServer(hosts=[gethostname()]*Nhosts)
for i in range(N):
jobserver.submit_job(new_plummer_model, (i,))
result=dict()
while jobserver.wait():
job=jobserver.last_finished_job
result[job.args[0]]=job.result
return result
def __init__(self,
hosts=[],
preamble="pass",
channel_type="mpi",
verbose=False):
from amuse.ext.job_server import JobServer
self.preamble = preamble
self.amuse_servers = hosts
self.job_server = JobServer(self.amuse_servers,
channel_type=channel_type,
preamble=self.preamble,
verbose=verbose,
no_wait=True)
def example_parallel_jobs(N, Nhosts=1):
jobserver = JobServer(hosts=[gethostname()] * Nhosts)
for i in range(1, N + 1):
jobserver.submit_job(new_plummer_model, (i, ))
result = dict()
while jobserver.wait():
job = jobserver.last_finished_job
result[job.args[0]] = job.result
return result
def example_parallel_jobs_2(N):
from socket import gethostname
jobserver=JobServer(["localhost"]*2,channel_type="mpi")
print
for i in range(N):
jobserver.submit_job(somework, (i,))
print "waiting"
jobserver.waitall()
print "done"
for job in jobserver.finished_jobs:
print job.args[0],job.result
def example_parallel_jobs2(N,Nhosts=1):
jobserver=JobServer(hosts=[gethostname()]*Nhosts)
for i in range(N):
jobserver.submit_job(new_plummer_model, (i,))
jobserver.waitall()
result=dict()
for job in jobserver.finished_jobs:
result[job.args[0]]=job.result
return result
def example_parallel_jobs_2(N):
from socket import gethostname
jobserver = JobServer(["localhost"] * 2, channel_type="mpi")
print
for i in range(N):
jobserver.submit_job(somework, (i, ))
print "waiting"
jobserver.waitall()
print "done"
for job in jobserver.finished_jobs:
print job.args[0], job.result
def example_parallel_jobs2(N, Nhosts=1):
jobserver = JobServer(hosts=[gethostname()] * Nhosts)
for i in range(1, N + 1):
jobserver.submit_job(new_plummer_model, (i, ))
jobserver.waitall()
result = dict()
for job in jobserver.finished_jobs:
result[job.args[0]] = job.result
return result
