def main():
""" Configure a cluster and use it. """
enable_console(logging.DEBUG)
logging.getLogger().setLevel(0)
print 'Client PID', os.getpid()
# Configure cluster.
cluster_name = 'EC2Cluster'
machines = []
if USE_EC2:
# The identity file used to access EC2 via ssh.
identity_filename = os.path.expanduser('~/.ssh/lovejoykey')
identity_filename += '.ppk' if sys.platform == 'win32' else '.pem'
machines.append(ClusterHost(
hostname='*****@*****.**',
python='setowns1_2013-05-06_09.17.04.529682' \
'/OpenMDAO-OpenMDAO-Framework-testbranch/devenv/bin/python',
tunnel_incoming=True, tunnel_outgoing=True,
identity_filename=identity_filename))
machines.append(ClusterHost(
hostname='*****@*****.**',
python='setowns1_2013-05-06_09.17.03.113077' \
'/OpenMDAO-OpenMDAO-Framework-testbranch/devenv/bin/python',
tunnel_incoming=True, tunnel_outgoing=True,
identity_filename=identity_filename))
machines.append(ClusterHost(
hostname='*****@*****.**',
python='setowns1_2013-05-06_09.17.05.434412' \
'/OpenMDAO-OpenMDAO-Framework-testbranch/devenv/bin/python',
tunnel_incoming=True, tunnel_outgoing=True,
identity_filename=identity_filename))
machines.append(ClusterHost(
hostname='*****@*****.**',
python='setowns1_2013-05-06_09.20.17.379627' \
'/OpenMDAO-OpenMDAO-Framework-testbranch/devenv/Scripts/python',
tunnel_incoming=True, tunnel_outgoing=True,
identity_filename=identity_filename))
machines.append(ClusterHost(
hostname='*****@*****.**',
python='setowns1_2013-05-06_09.19.49.348885' \
'/OpenMDAO-OpenMDAO-Framework-testbranch/devenv/Scripts/python',
tunnel_incoming=True, tunnel_outgoing=True,
identity_filename=identity_filename))
# machines.append(ClusterHost(
# hostname='viper.grc.nasa.gov',
# python='OpenMDAO-Framework/devenv/bin/python',
# tunnel_incoming=True, tunnel_outgoing=True,
# identity_filename=None))
else:
# Trivial local 'cluster' for debugging without remote host issues.
machines.append(
ClusterHost(hostname=socket.getfqdn(), python=sys.executable))
# machines.append(ClusterHost(
# hostname='viper.grc.nasa.gov',
# python='OpenMDAO-Framework/devenv/bin/python',
# tunnel_incoming=True, tunnel_outgoing=True,
# identity_filename=None))
# Start it.
cluster = ClusterAllocator(cluster_name,
machines,
allow_shell=True,
method='load-average')
# method='greedy')
# method='round-robin')
print 'Cluster initialized'
RAM.insert_allocator(0, cluster)
n_servers = RAM.max_servers(dict(allocator=cluster_name))
print n_servers, 'Servers:'
for name in RAM.get_hostnames(
dict(allocator=cluster_name, min_cpus=n_servers)):
print ' ', name
# Create model.
top = GPOptimization()
# Configure DOE.
top.driver.sequential = False # Run concurrently across cluster.
top.driver.reload_model = False
# Force use of only cluster hosts by adding this requirement.
top.driver.extra_resources = dict(allocator=cluster_name)
# This is necessary more often than it should be.
top.driver.ignore_egg_requirements = True
# Perform the optimization.
top.run()
jacket.Twrinputs.Twrmatins=Twrmatin
jacket.Twrinputs.Htwr2frac=0.2 #fraction of tower height with constant x-section
jacket.Twrinputs.ndiv=np.array([6,12]) #ndiv for uniform and tapered section
jacket.Twrinputs.DeltaZmax = 6.
jacket.Twrinputs.Db=5.6
jacket.Twrinputs.DTRb=130.
jacket.Twrinputs.DTRt=150.
jacket.TwrRigidTop=TwrRigidTop
jacket.FrameAuxIns=FrameAuxIns
# =================
import logging
logging.getLogger().setLevel(logging.DEBUG)
from openmdao.main.api import enable_console
enable_console()
# === run ===
turbine.run()
print [c.name for c in turbine.driver.workflow]
print 'mass rotor blades (kg) =', turbine.rotor.mass_all_blades
print 'mass hub system (kg) =', turbine.hub.hub_system_mass
print 'mass nacelle (kg) =', turbine.nacelle.nacelle_mass
print 'mass tower (kg) =', jacket.Tower.Twrouts.mass
print 'maximum tip deflection (m) =', turbine.maxdeflection.max_tip_deflection
print 'ground clearance (m) =', turbine.maxdeflection.ground_clearance
# Jacket connected inputs
turbine.jacket.Xbrcinputs = Xbrcinputs
turbine.jacket.Mbrcinputs = Mbrcinputs
turbine.jacket.Hbrcinputs = Hbrcinputs
turbine.jacket.TPlumpinputs = TPlumpinputs
turbine.jacket.TPinputs = TPinputs
turbine.jacket.RNAinputs = RNAins
turbine.jacket.RNAinputs2 = RNAins2
turbine.jacket.Twrinputs = Twrinputs
turbine.jacket.TwrRigidTop = TwrRigidTop
turbine.jacket.FrameAuxIns = FrameAuxIns
# =================
#turbine.jacket.run() ; quit()
import logging
logging.getLogger().setLevel(logging.DEBUG)
from openmdao.main.api import enable_console
enable_console()
# === run ===
#turbine.jacket = turbine.jacket
turbine.run()
print[c.name for c in turbine.driver.workflow]
print 'mass rotor blades (kg) =', turbine.rotor.mass_all_blades
print 'mass hub system (kg) =', turbine.hub.hub_system_mass
print 'mass nacelle (kg) =', turbine.nacelle.nacelle_mass
print 'mass tower (kg) =', jacket.Tower.Twrouts.mass
print 'maximum tip deflection (m) =', turbine.maxdeflection.max_tip_deflection
print 'ground clearance (m) =', turbine.maxdeflection.ground_clearance
# Jacket connected inputs
print
def main():
""" Configure a cluster and use it. """
enable_console(logging.DEBUG)
logging.getLogger().setLevel(0)
print 'Client PID', os.getpid()
# Configure cluster.
cluster_name = 'EC2Cluster'
machines = []
if USE_EC2:
# The identity file used to access EC2 via ssh.
identity_filename = os.path.expanduser('~/.ssh/lovejoykey')
identity_filename += '.ppk' if sys.platform == 'win32' else '.pem'
machines.append(ClusterHost(
hostname='*****@*****.**',
python='setowns1_2013-05-06_09.17.04.529682' \
'/OpenMDAO-OpenMDAO-Framework-testbranch/devenv/bin/python',
tunnel_incoming=True, tunnel_outgoing=True,
identity_filename=identity_filename))
machines.append(ClusterHost(
hostname='*****@*****.**',
python='setowns1_2013-05-06_09.17.03.113077' \
'/OpenMDAO-OpenMDAO-Framework-testbranch/devenv/bin/python',
tunnel_incoming=True, tunnel_outgoing=True,
identity_filename=identity_filename))
machines.append(ClusterHost(
hostname='*****@*****.**',
python='setowns1_2013-05-06_09.17.05.434412' \
'/OpenMDAO-OpenMDAO-Framework-testbranch/devenv/bin/python',
tunnel_incoming=True, tunnel_outgoing=True,
identity_filename=identity_filename))
machines.append(ClusterHost(
hostname='*****@*****.**',
python='setowns1_2013-05-06_09.20.17.379627' \
'/OpenMDAO-OpenMDAO-Framework-testbranch/devenv/Scripts/python',
tunnel_incoming=True, tunnel_outgoing=True,
identity_filename=identity_filename))
machines.append(ClusterHost(
hostname='*****@*****.**',
python='setowns1_2013-05-06_09.19.49.348885' \
'/OpenMDAO-OpenMDAO-Framework-testbranch/devenv/Scripts/python',
tunnel_incoming=True, tunnel_outgoing=True,
identity_filename=identity_filename))
# machines.append(ClusterHost(
# hostname='viper.grc.nasa.gov',
# python='OpenMDAO-Framework/devenv/bin/python',
# tunnel_incoming=True, tunnel_outgoing=True,
# identity_filename=None))
else:
# Trivial local 'cluster' for debugging without remote host issues.
machines.append(ClusterHost(hostname=socket.getfqdn(),
python=sys.executable))
# machines.append(ClusterHost(
# hostname='viper.grc.nasa.gov',
# python='OpenMDAO-Framework/devenv/bin/python',
# tunnel_incoming=True, tunnel_outgoing=True,
# identity_filename=None))
# Start it.
cluster = ClusterAllocator(cluster_name, machines, allow_shell=True,
method='load-average')
# method='greedy')
# method='round-robin')
print 'Cluster initialized'
RAM.insert_allocator(0, cluster)
n_servers = RAM.max_servers(dict(allocator=cluster_name))
print n_servers, 'Servers:'
for name in RAM.get_hostnames(dict(allocator=cluster_name,
min_cpus=n_servers)):
print ' ', name
# Create model.
top = GPOptimization()
# Configure DOE.
top.driver.sequential = False # Run concurrently across cluster.
top.driver.reload_model = False
# Force use of only cluster hosts by adding this requirement.
top.driver.extra_resources = dict(allocator=cluster_name)
# This is necessary more often than it should be.
top.driver.ignore_egg_requirements = True
# Perform the optimization.
top.run()
