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()