def load_ir2_dc_config():
"""
Load the parsl config for ad-hoc providers.
"""
try:
parsl.DataFlowKernelLoader.dfk()
print("parsl config is already loaded.")
return
except RuntimeError:
pass
executors = []
for host in WORKER_NODE_ADDRESSES:
channel = SSHChannel(hostname=host, script_dir=script_dir(host))
provider = LocalProvider(channel=channel,
init_blocks=1,
worker_init='source %s' % SETUP_SCRIPT)
executors.append(
HighThroughputExecutor(label=host,
address=MOTHER_NODE_ADDRESS,
worker_debug=False,
provider=provider,
heartbeat_period=2,
heartbeat_threshold=10))
config = Config(executors=executors, strategy=None, retries=3)
parsl.load(config)
def test_ssh_channel():
with tempfile.TemporaryDirectory() as config_dir:
sshd_thread, priv_key, server_port = _start_sshd(config_dir)
try:
with tempfile.TemporaryDirectory() as remote_script_dir:
# The SSH library fails to add the new host key to the file if the file does not
# already exist, so create it here.
pathlib.Path(
'{}/known.hosts'.format(config_dir)).touch(mode=0o600)
script_dir = tempfile.mkdtemp()
p = LocalProvider(channel=SSHChannel(
'127.0.0.1',
port=server_port,
script_dir=remote_script_dir,
host_keys_filename='{}/known.hosts'.format(config_dir),
key_filename=priv_key),
launcher=SingleNodeLauncher(debug=False))
p.script_dir = script_dir
_run_tests(p)
finally:
_stop_sshd(sshd_thread)
from parsl.executors.ipp_controller import Controller
# This is an example config, make sure to
# replace the specific values below with the literal values
# (e.g., 'USERNAME' -> 'your_username')
config = Config(
executors=[
IPyParallelExecutor(
label='swan_ipp',
workers_per_node=2,
provider=TorqueProvider(
channel=SSHChannel(
hostname='swan.cray.com',
username=
'******', # Please replace USERNAME with your username
script_dir=
'/home/users/USERNAME/parsl_scripts', # Please replace USERNAME with your username
),
nodes_per_block=2,
init_blocks=1,
max_blocks=1,
launcher=AprunLauncher(),
scheduler_options='', # Input your scheduler_options if needed
worker_init='', # Input your worker_init if needed
),
controller=Controller(
public_ip='PUBLIC_IP'
), # Please replace PUBLIC_IP with your public ip
)
], )
from parsl.tests.utils import get_rundir
# If you are a developer running tests, make sure to update parsl/tests/configs/user_opts.py
# If you are a user copying-and-pasting this as an example, make sure to either
# 1) create a local `user_opts.py`, or
# 2) delete the user_opts import below and replace all appearances of `user_opts` with the literal value
# (i.e., user_opts['swan']['username'] -> 'your_username')
from .user_opts import user_opts
config = Config(
executors=[
IPyParallelExecutor(
label='cori_ipp_single_node',
workers_per_node=1,
provider=SlurmProvider(
'debug',
channel=SSHChannel(hostname='cori.nersc.gov',
username=user_opts['cori']['username'],
script_dir=user_opts['cori']['script_dir']),
nodes_per_block=1,
init_blocks=1,
max_blocks=1,
scheduler_options=user_opts['cori']['scheduler_options'],
worker_init=user_opts['cori']['worker_init'],
),
controller=Controller(public_ip=user_opts['public_ip']),
)
],
run_dir=get_rundir(),
)
from parsl.providers import SlurmProvider
from parsl.channels import SSHChannel
from parsl.launchers import SrunLauncher
# outside running on a Jupyter Notebook, submit via ssh channel
config = Config(
executors=[
IPyParallelExecutor(
...
provider=SlurmProvider(
'debug',
channel=SSHChannel(
hostname='login.sdumont.lncc.br',
username='******',
...
address='js-17-185.jetstream-cloud.org',
max_workers=864,
#workers_per_node = 24, # Getting error for unexpexted argument
cores_per_worker=1,
worker_logdir_root='/home/aymen/parsl_scripts',
interchange_address='comet-ln2.sdsc.edu',
interchange_port_range=(50100, 50400),
#client_ports=(50055, 50056, 50057), # Getting error for unexpexted argument
worker_port_range=(50500, 51000),
provider=SlurmProvider(
launcher=SrunLauncher(),
#'compute',
channel=SSHChannel(
hostname='comet-ln2.sdsc.edu',
username=
'******', # Please replace USERNAME with your username
password='******',
script_dir=
'/home/aymen/parsl_scripts', # Please replace USERNAME with your username
),
# launcher=SrunLauncher(),
scheduler_options='', # Input your scheduler_options if needed
worker_init=
'source /home/aymen/ve/parsl-env/bin/activate', # Input your worker_init if needed
partition="compute",
walltime="00:30:00",
init_blocks=1,
max_blocks=1,
#tasks_per_node = 24, # Getting error for unexpexted argument
nodes_per_block=36,
#cores_per_node=24, # Getting error for unexpexted argument
parallelism=864,
from parsl.config import Config
from parsl.executors import HighThroughputExecutor
# If you are a developer running tests, make sure to update parsl/tests/configs/user_opts.py
# If you are a user copying-and-pasting this as an example, make sure to either
# 1) create a local `user_opts.py`, or
# 2) delete the user_opts import below and replace all appearances of `user_opts` with the literal value
# (i.e., user_opts['swan']['username'] -> 'your_username')
from .user_opts import user_opts
config = Config(
executors=[
HighThroughputExecutor(
label='swan_htex',
provider=TorqueProvider(
channel=SSHChannel(
hostname='swan.cray.com',
username=user_opts['swan']['username'],
script_dir=user_opts['swan']['script_dir'],
),
nodes_per_block=1,
init_blocks=1,
max_blocks=1,
launcher=AprunLauncher(),
scheduler_options=user_opts['swan']['scheduler_options'],
worker_init=user_opts['swan']['worker_init'],
),
)
]
)
from parsl.executors import HighThroughputExecutor
from parsl.config import Config
user_opts = {'adhoc':
{'username': '******',
'script_dir': 'YOUR_SCRIPT_DIR',
'remote_hostnames': ['REMOTE_HOST_URL_1', 'REMOTE_HOST_URL_2']
}
}
config = Config(
executors=[
HighThroughputExecutor(
label='remote_htex',
max_workers=2,
worker_logdir_root=user_opts['adhoc']['script_dir'],
provider=AdHocProvider(
# Command to be run before starting a worker, such as:
# 'module load Anaconda; source activate parsl_env'.
worker_init='',
channels=[SSHChannel(hostname=m,
username=user_opts['adhoc']['username'],
script_dir=user_opts['adhoc']['script_dir'],
) for m in user_opts['adhoc']['remote_hostnames']]
)
)
],
# AdHoc Clusters should not be setup with scaling strategy.
strategy=None,
)
from parsl.executors import HighThroughputExecutor
import os
remote_config = Config(executors=[
HighThroughputExecutor(
label='remote_htex',
cores_per_worker=2,
address=address_by_hostname(),
provider=LocalProvider(
min_blocks=1,
init_blocks=1,
max_blocks=4,
nodes_per_block=1,
parallelism=0.5,
channel=SSHChannel(hostname="localhost"),
#worker_init='source /phys/groups/tev/scratch3/users/gwatts/anaconda3/etc/profile.d/conda.sh && conda activate parsl',
worker_init=
'source /home/gwatts/anaconda3/etc/profile.d/conda.sh && export PYTHONPATH=$PYTHONPATH:{} && conda activate parsl_test'
.format(os.getcwd()),
move_files=False,
))
])
parsl.load(remote_config)
# Run this and print out the result
if os.path.isfile("all_hellos.txt"):
os.unlink("all_hellos.txt")
r = run_cat_test()
with open(r.outputs[0].result(), 'r') as f:
print(f.read())
from parsl.executors.ipp_controller import Controller
# This is an example config, make sure to
# replace the specific values below with the literal values
# (e.g., 'USERNAME' -> 'your_username')
config = Config(
executors=[
IPyParallelExecutor(
label='comet_ipp_multinode',
provider=SlurmProvider(
'debug',
channel=SSHChannel(
hostname='comet.sdsc.xsede.org',
username=
'******', # Please replace USERNAME with your username
script_dir=
'/home/USERNAME/parsl_scripts', # Please replace USERNAME with your username
),
launcher=SrunLauncher(),
scheduler_options='', # Input your scheduler_options if needed
worker_init='', # Input your worker_init if needed
walltime="00:10:00",
init_blocks=1,
max_blocks=1,
nodes_per_block=2,
),
controller=Controller(
public_ip='PUBLIC_IP'
), # Please replace PUBLIC_IP with your public ip
)
def multisite_nwchem_config() -> Config:
"""Experimental multi-site configuration"""
return Config(
retries=1,
executors=[
HighThroughputExecutor(
address=address_by_hostname(),
label="qc",
max_workers=8, # One task per node
provider=CobaltProvider(
cmd_timeout=120,
nodes_per_block=8,
account='CSC249ADCD08',
queue='debug-cache-quad',
walltime="1:00:00",
init_blocks=1,
max_blocks=1,
launcher=SimpleLauncher(), # Places worker on the launch node
scheduler_options='#COBALT --attrs enable_ssh=1',
worker_init='''
module load miniconda-3
export PATH=~/software/psi4/bin:$PATH
conda activate /lus/theta-fs0/projects/CSC249ADCD08/edw/env
# NWChem settings
export PATH="/home/lward/software/nwchem-6.8.1/bin/LINUX64:$PATH"
module load atp
export MPICH_GNI_MAX_EAGER_MSG_SIZE=16384
export MPICH_GNI_MAX_VSHORT_MSG_SIZE=10000
export MPICH_GNI_MAX_EAGER_MSG_SIZE=131072
export MPICH_GNI_NUM_BUFS=300
export MPICH_GNI_NDREG_MAXSIZE=16777216
export MPICH_GNI_MBOX_PLACEMENT=nic
export MPICH_GNI_LMT_PATH=disabled
export COMEX_MAX_NB_OUTSTANDING=6
export LD_LIBRARY_PATH=/opt/intel/compilers_and_libraries_2018.0.128/linux/compiler/lib/intel64_lin:$LD_LIBRARY_PATH
''',
),
),
HighThroughputExecutor(
address='localhost', # Using an SSH tunnel
worker_ports=(54382, 54008),
label="ml",
max_workers=1,
working_dir='/homes/lward/parsl',
worker_logdir_root='/homes/lward/parsl',
provider=LocalProvider(
channel=SSHChannel('lambda5.cels.anl.gov', script_dir='/home/lward/parsl'),
nodes_per_block=1,
init_blocks=1,
max_blocks=1,
launcher=SimpleLauncher(),
worker_init='''
source /homes/lward/miniconda3/etc/profile.d/conda.sh
conda activate colmena_full
export CUDA_VISIBLE_DEVICES=17 # Pins to a GPU worker
''',
),
)
],
strategy=None,
)
from parsl.config import Config
from parsl.executors.ipp import IPyParallelExecutor
# This is an example config, make sure to
# replace the specific values below with the literal values
# (e.g., 'USERNAME' -> 'your_username')
config = Config(
executors=[
IPyParallelExecutor(
label='beagle_multinode_mpi',
provider=TorqueProvider(
'debug',
channel=SSHChannel(
hostname='login4.beagle.ci.uchicago.edu',
username=
'******', # Please replace USERNAME with your username
script_dir=
'/lustre/beagle2/USERNAME/parsl_scripts', # Please replace USERNAME with your username
),
nodes_per_block=1,
tasks_per_node=1,
init_blocks=1,
max_blocks=1,
launcher=AprunLauncher(),
scheduler_options='', # Input your scheduler_options if needed
worker_init='', # Input your worker_init if needed
))
], )
from parsl.config import Config
from parsl.executors import HighThroughputExecutor, IPyParallelExecutor
from parsl.executors.ipp_controller import Controller
from parsl.addresses import address_by_hostname #add this to your imports
mcullaghcluster = Config(
executors=[
HighThroughputExecutor(
label='mccullagh_cluster',
cores_per_worker=20,
address='192.168.175.16',
provider=SlurmProvider(
channel=SSHChannel(
hostname='login1.rc.colostate.edu',
username=
'******', # Please replace USERNAME with your username
script_dir=
'/home/kavotaw/lustrefs/z15-adfr/adfr_parsl_efficiency_test/',
password='' # Password goes here (or use keys)
),
launcher=SrunLauncher(),
scheduler_options="""#SBATCH --ntasks-per-node=20
#SBATCH --output=/mnt/lustre_fs/users/kavotaw/z15-adfr/adfr_parsl_efficiency_test/test.out
#SBATCH --error=/mnt/lustre_fs/users/kavotaw/z15-adfr/adfr_parsl_efficiency_test/test.err""",
worker_init="""source activate parsl_py36
export PYTHONPATH="/mnt/lustre_fs/users/kavotaw/z15-adfr/adfr_parsl_efficiency_test/"
export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/mnt/lustre_fs/users/kavotaw/adfr-vs-vina/install_mgl/mgltools2_x86_64Linux2_1.1/lib/"
export MGL_ROOT="/mnt/lustre_fs/users/kavotaw/adfr-vs-vina/install_mgl/mgltools2_x86_64Linux2_1.1/"
PATH="$MGL_ROOT/bin:$PATH"
pwd
cd /mnt/lustre_fs/users/kavotaw/z15-adfr/adfr_parsl_efficiency_test/""",
walltime="24:00:00",
from parsl.tests.utils import get_rundir
# If you are a developer running tests, make sure to update parsl/tests/configs/user_opts.py
# If you are a user copying-and-pasting this as an example, make sure to either
# 1) create a local `user_opts.py`, or
# 2) delete the user_opts import below and replace all appearances of `user_opts` with the literal value
# (i.e., user_opts['swan']['username'] -> 'your_username')
from .user_opts import user_opts
config = Config(executors=[
IPyParallelExecutor(
label='comet_ipp_multinode',
workers_per_node=1,
provider=SlurmProvider(
'debug',
channel=SSHChannel(hostname='comet.sdsc.xsede.org',
username=user_opts['comet']['username'],
script_dir=user_opts['comet']['script_dir']),
launcher=SrunLauncher(),
scheduler_options=user_opts['comet']['scheduler_options'],
worker_init=user_opts['comet']['worker_init'],
walltime="00:10:00",
init_blocks=1,
max_blocks=1,
nodes_per_block=2,
),
controller=Controller(public_ip=user_opts['public_ip']),
)
],
run_dir=get_rundir())
from parsl.channels import SSHChannel
from parsl.launchers import SrunLauncher
from parsl.providers import SlurmProvider
from parsl.executors import HighThroughputExecutor
from parsl.addresses import address_by_query
config = Config(executors=[
HighThroughputExecutor(
label='Comet_HTEX_multinode',
address=address_by_query(),
worker_logdir_root='YOUR_LOGDIR_ON_COMET',
provider=SlurmProvider(
'debug',
channel=SSHChannel(
hostname='comet.sdsc.xsede.org',
username='******',
script_dir='YOUR_SCRIPT_DIR',
),
launcher=SrunLauncher(),
# string to prepend to #SBATCH blocks in the submit
# script to the scheduler
scheduler_options='',
# Command to be run before starting a worker, such as:
# 'module load Anaconda; source activate parsl_env'.
worker_init='',
walltime='00:10:00',
init_blocks=1,
max_blocks=1,
nodes_per_block=2,
),
)
node_count = int(node_counts[step])
print("Requesting {} nodes for step \"{}\"".format(node_count, step))
options = base_options
options += f"#SBATCH -c {cores_per_node[step]}\n"
if args.parsl_path is not None:
options += "PATH=\"{}:$PATH\"\nexport PATH\n".format(args.parsl_path)
if step in gpu_steps:
options += str(args.gpu_options) + '\n'
if args.local_host_only:
channel = LocalChannel()
else:
if hostnames[step] is None:
raise Exception('To run step {} on a remote host, please set the argument --{}_hostname'.format(step))
channel = SSHChannel(
hostname=hostnames[step],
username=args.unix_username,
gssapi_auth=args.gssapi,
)
if args.scheduler_name == 'slurm':
executors.append(HighThroughputExecutor(
label=step,
worker_debug=True,
address=address_by_hostname(),
cores_per_worker=vCPUs_per_core*int(cores_per_task[step]),
provider=SlurmProvider(
args.scheduler_partition,
channel=channel,
launcher=SrunLauncher(),
nodes_per_block=node_count,
worker_init=worker_init,
init_blocks=1,
from parsl.config import Config
from parsl.executors.ipp import IPyParallelExecutor
from parsl.executors.ipp_controller import Controller
# This is an example config, make sure to
# replace the specific values below with the literal values
# (e.g., 'USERNAME' -> 'your_username')
config = Config(
executors=[
IPyParallelExecutor(
label='cori_ipp_multinode',
provider=SlurmProvider(
'debug',
channel=SSHChannel(
hostname='cori.nersc.gov',
username='******', # Please replace USERNAME with your username
script_dir='/global/homes/y/USERNAME/parsl_scripts', # Please replace USERNAME with your username
),
nodes_per_block=2,
init_blocks=1,
max_blocks=1,
scheduler_options='', # Input your scheduler_options if needed
worker_init='', # Input your worker_init if needed
launcher=SrunLauncher(),
),
controller=Controller(public_ip='PUBLIC_IP'), # Please replace PUBLIC_IP with your public ip
)
],
)
from parsl.executors.ipp import IPyParallelExecutor
from parsl.tests.utils import get_rundir
# If you are a developer running tests, make sure to update parsl/tests/configs/user_opts.py
# If you are a user copying-and-pasting this as an example, make sure to either
# 1) create a local `user_opts.py`, or
# 2) delete the user_opts import below and replace all appearances of `user_opts` with the literal value
# (i.e., user_opts['swan']['username'] -> 'your_username')
from .user_opts import user_opts
config = Config(executors=[
IPyParallelExecutor(
label='beagle_multinode_mpi',
workers_per_node=1,
provider=TorqueProvider(
'debug',
channel=SSHChannel(
hostname='login4.beagle.ci.uchicago.edu',
username=user_opts['beagle']['username'],
script_dir="/lustre/beagle2/{}/parsl_scripts".format(
user_opts['beagle']['username'])),
nodes_per_block=1,
init_blocks=1,
max_blocks=1,
launcher=AprunLauncher(),
scheduler_options=user_opts['beagle']['scheduler_options'],
worker_init=user_opts['beagle']['worker_init'],
))
],
run_dir=get_rundir())
from parsl.executors import HighThroughputExecutor
remotes = [
'midway2-login2.rcc.uchicago.edu', 'midway2-login1.rcc.uchicago.edu'
]
config = Config(executors=[
HighThroughputExecutor(
label='AdHoc',
max_workers=2,
worker_logdir_root="/scratch/midway2/yadunand/parsl_scripts",
provider=AdHocProvider(
worker_init="source /scratch/midway2/yadunand/parsl_env_setup.sh",
channels=[
SSHChannel(
hostname=m,
username="******",
script_dir="/scratch/midway2/yadunand/parsl_cluster")
for m in remotes
]))
])
@python_app
def platform(sleep=2, stdout=None):
import platform
import time
time.sleep(sleep)
return platform.uname()
def test_raw_provider():
from rynner.rynner import Rynner
username = input("Enter your username: "******"Enter the domain: ")
connect_ = input(f'Connect as {username} at {domain}? [Yy/Yes/No/Nn]:')
if connect_.lower() not in ('y', 'yes', ''):
print('No connection established, exiting.')
exit(1)
else:
provider = SlurmProvider(
'compute',
channel=SSHChannel(
hostname=domain,
username=username,
script_dir='/tmp'
),
nodes_per_block=1,
# tasks_per_node=1, # fixme doesn't exist anymore?
init_blocks=1,
max_blocks=1
)
rynner = Rynner(provider)
run = rynner.create_run(
script='cat Makefile > tmps', uploads=['Makefile'], downloads=['tmps'])
rynner.upload(run)
print('upload')
from parsl.config import Config
from parsl.executors.ipp import IPyParallelExecutor
from parsl.executors.ipp_controller import Controller
# This is an example config, make sure to
# replace the specific values below with the literal values
# (e.g., 'USERNAME' -> 'your_username')
config = Config(executors=[
IPyParallelExecutor(
provider=SlurmProvider(
'westmere',
channel=SSHChannel(
hostname='swift.rcc.uchicago.edu',
username=
'******', # Please replace USERNAME with your username
script_dir=
'/scratch/midway2/USERNAME/parsl_scripts', # Please replace USERNAME with your username
),
init_blocks=1,
min_blocks=1,
max_blocks=2,
nodes_per_block=1,
tasks_per_node=4,
parallelism=0.5,
scheduler_options='', # Input your scheduler_options if needed
worker_init='', # Input your worker_init if needed
),
label='midway_ipp',
controller=Controller(
public_ip='PUBLIC_IP'
# If you are a user copying-and-pasting this as an example, make sure to either
# 1) create a local `user_opts.py`, or
# 2) delete the user_opts import below and replace all appearances of `user_opts` with the literal value
# (i.e., user_opts['swan']['username'] -> 'your_username')
from .user_opts import user_opts
config = Config(
executors=[
IPyParallelExecutor(
label='midway_ipp_multicore',
workers_per_node=4,
provider=SlurmProvider(
'westmere',
channel=SSHChannel(
hostname='swift.rcc.uchicago.edu',
username=user_opts['midway']['username'],
script_dir=user_opts['midway']['script_dir']
),
scheduler_options=user_opts['midway']['scheduler_options'],
worker_init=user_opts['midway']['worker_init'],
nodes_per_block=1,
walltime="00:05:00",
init_blocks=1,
max_blocks=1,
launcher=SingleNodeLauncher(),
),
controller=Controller(public_ip=user_opts['public_ip']),
)
],
run_dir=get_rundir()
from parsl.providers import LocalProvider
from parsl.channels import SSHChannel
from parsl.executors import HighThroughputExecutor
from parsl.config import Config
username = "******"
remotes = [
'midway2-login1.rcc.uchicago.edu', 'midway2-login2.rcc.uchicago.edu'
]
config = Config(executors=[
HighThroughputExecutor(
label='remote_htex_{}'.format(m),
cores_per_worker=4,
worker_debug=False,
address="128.135.112.73",
provider=LocalProvider(
init_blocks=1,
nodes_per_block=1,
parallelism=0.5,
worker_init="source /scratch/midway2/yadunand/parsl_env_setup.sh",
channel=SSHChannel(
hostname=m,
username=username,
script_dir="/scratch/midway2/{}/parsl_tests/".format(
username)))) for m in remotes
], )
from parsl.config import Config
from parsl.providers import LocalProvider
from parsl.channels import SSHChannel
from parsl.addresses import address_by_hostname
from parsl.executors import HighThroughputExecutor
hostnames = ['host-1', 'host-2']
config = Config(
executors=[
HighThroughputExecutor(
label='htex_{}'.format(h),
worker_debug=False,
address=address_by_hostname(),
provider=LocalProvider(
# The username on the machines depend on the distribution
# used, for eg. on Ubuntu, username is 'ubuntu'
channel=SSHChannel(hostname=h, username='******'),
move_files=False, # set to True if there is no shared filesystem
nodes_per_block=1,
init_blocks=1,
min_blocks=1,
max_blocks=1,
# Command to be run before starting a worker, such as:
# 'module load Anaconda; source activate parsl_env'.
worker_init='',
),
) for h in hostnames
],
strategy=None)