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reframe_config.py
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import os
import reframe.core.launchers.mpi as rfmmpi
# OpenMPI Launcher on COSMA7 Rockport network:
# <https://www.dur.ac.uk/icc/cosma/support/rockport/>.
@rfmmpi.register_launcher('rockport_openmpi_mpirun')
class RockportOpenmpiLauncher(rfmmpi.MpirunLauncher):
def command(self, job):
return ['mpirun', '$RP_OPENMPI_ARGS']
# Some systems, notably some Cray-based ones, don't have access to the home filesystem.
# This means that if you set up Spack in your bashrc script, this file won't be loaded and
# the job will fail because it can't find `spack`. This function allows propagating the
# setting of `PATH` on the node which submits the benchmark to script generated by ReFrame.
def spack_root_to_path():
spack_root = os.getenv('SPACK_ROOT')
path = os.getenv('PATH')
if spack_root is None:
return path
else:
spack_bindir = os.path.join(spack_root, 'bin')
if path is None:
return dir
else:
if spack_bindir in path.split(os.path.pathsep):
return path
else:
return spack_bindir * os.path.pathsep * path
site_configuration = {
'systems': [
{
# https://www.archer2.ac.uk/about/hardware.html
# https://docs.archer2.ac.uk/
'name': 'archer2',
'descr': 'ARCHER2',
'hostnames': ['ln[0-9]+'],
'modules_system': 'lmod',
'partitions': [
{
'name': 'compute-node',
'descr': 'ARCHER2 compute nodes',
'scheduler': 'slurm',
'launcher': 'srun',
'env_vars': [
# Propagate PATH to compute nodes, including `spack` bindir
['PATH', spack_root_to_path()],
# Work around for Spack erroring out on non-existing home directory:
# https://github.com/spack/spack/issues/33265#issuecomment-1277343920
['SPACK_USER_CONFIG_PATH', os.path.expanduser("~").replace('home', 'work')],
['SPACK_USER_CACHE_PATH', os.path.expanduser("~").replace('home', 'work')],
],
'access': ['--partition=standard'],
'environs': ['default'],
'max_jobs': 64,
'processor': {
'num_cpus': 128,
'num_cpus_per_core': 1,
'num_sockets': 2,
'num_cpus_per_socket': 64,
}
},
]
}, # end ARCHER2
{
# https://www.hpc.cam.ac.uk/systems/peta-4
'name': 'csd3-skylake',
'descr': 'CSD3 Skylake',
'hostnames': ['login-e-[0-9]+'],
'modules_system': 'tmod32',
'partitions': [
{
'name': 'compute-node',
'descr': 'Skylake compute nodes',
'scheduler': 'slurm',
'launcher': 'mpirun',
'access': ['--partition=skylake'],
'environs': ['default'],
'max_jobs': 64,
'processor': {
'num_cpus': 32,
'num_cpus_per_core': 2,
'num_sockets': 2,
'num_cpus_per_socket': 16,
}
},
]
}, # end CSD3 Skylake
{
# https://www.hpc.cam.ac.uk/systems/peta-4
'name': 'csd3-icelake',
'descr': 'CSD3 Icelake',
'hostnames': ['login-q-[0-9]+'],
'modules_system': 'tmod4',
'partitions': [
{
'name': 'compute-node',
'descr': 'Icelake compute nodes',
'scheduler': 'slurm',
'launcher': 'mpirun',
'access': ['--partition=icelake'],
'environs': ['default', 'intel2020-csd3'],
'max_jobs': 64,
'processor': {
'num_cpus': 76,
'num_cpus_per_core': 1,
'num_sockets': 2,
'num_cpus_per_socket': 38,
},
},
]
}, # end CSD3 Icelake
{
# https://www.rc.ucl.ac.uk/docs/Clusters/Myriad/#node-types
'name': 'myriad',
'descr': 'Myriad',
'hostnames': ['login[0-9]+.myriad.ucl.ac.uk'],
'partitions': [
{
'name': 'cpu',
'descr': 'Computing nodes with CPUs only',
'scheduler': 'sge',
'launcher': 'mpirun',
'environs': ['default'],
'max_jobs': 36,
'processor': {
'num_cpus': 36,
'num_cpus_per_core': 1,
'num_sockets': 2,
'num_cpus_per_socket': 18,
},
'resources': [
{
'name': 'mpi',
'options': ['-pe mpi {num_slots}'],
},
],
},
{
'name': 'a100',
'descr': 'Computing nodes with Nvidia A100 GPUs',
'scheduler': 'sge',
'access': ['-ac allow=L'],
'launcher': 'mpirun',
'environs': ['default'],
'max_jobs': 36,
'features': ['gpu', 'cuda'],
'processor': {
'num_cpus': 36,
'num_cpus_per_core': 1,
'num_sockets': 2,
'num_cpus_per_socket': 18,
},
'resources': [
{
'name': 'mpi',
'options': ['-pe mpi {num_slots}'],
},
{
'name': 'gpu',
'options': ['-l gpu={num_gpus_per_node}'],
},
],
},
{
'name': 'p100',
'descr': 'Computing nodes with Nvidia P100 GPUs',
'scheduler': 'sge',
'access': ['-ac allow=J'],
'launcher': 'mpirun',
'environs': ['default'],
'max_jobs': 36,
'features': ['gpu', 'cuda'],
'processor': {
'num_cpus': 36,
'num_cpus_per_core': 1,
'num_sockets': 2,
'num_cpus_per_socket': 18,
},
'resources': [
{
'name': 'mpi',
'options': ['-pe mpi {num_slots}'],
},
{
'name': 'gpu',
'options': ['-l gpu={num_gpus_per_node}'],
},
],
},
{
'name': 'v100',
'descr': 'Computing nodes with Nvidia V100 GPUs',
'scheduler': 'sge',
'access': ['-ac allow=EF'],
'launcher': 'mpirun',
'environs': ['default'],
'max_jobs': 36,
'features': ['gpu', 'cuda'],
'processor': {
'num_cpus': 36,
'num_cpus_per_core': 1,
'num_sockets': 2,
'num_cpus_per_socket': 18,
},
'resources': [
{
'name': 'mpi',
'options': ['-pe mpi {num_slots}'],
},
{
'name': 'gpu',
'options': ['-l gpu={num_gpus_per_node}'],
},
],
},
],
}, # end Myriad
{
# https://gw4-isambard.github.io/docs/user-guide/MACS.html
'name': 'isambard-macs',
'descr': 'Isambard 2 - Multi-Architecture Comparison System',
'hostnames': ['login-0[12].gw4.metoffice.gov.uk'],
'partitions': [
{
'name': 'cascadelake',
'descr': 'Intel Xeon Gold 6230 Cascade Lake computing nodes',
'scheduler': 'pbs',
'launcher': 'mpirun',
'access': ['-q clxq'],
'environs': ['default'],
'max_jobs': 20,
'processor': {
'num_cpus': 40,
'num_cpus_per_core': 1,
'num_sockets': 2,
'num_cpus_per_socket': 20,
},
},
{
'name': 'knl',
'descr': 'Intel Xeon Phi “Knights Landing” 7210 computing nodes',
'scheduler': 'pbs',
'launcher': 'mpirun',
'access': ['-q knlq'],
'environs': ['default'],
'max_jobs': 20,
'processor': {
'num_cpus': 64,
'num_cpus_per_core': 1,
'num_sockets': 1,
'num_cpus_per_socket': 64,
},
},
{
'name': 'rome',
'descr': 'AMD Epyc 7742 Rome computing nodes',
'scheduler': 'pbs',
'launcher': 'mpirun',
'access': ['-q romeq'],
'environs': ['default'],
'max_jobs': 20,
'processor': {
'num_cpus': 256,
'num_cpus_per_core': 2,
'num_sockets': 2,
'num_cpus_per_socket': 64,
},
},
{
'name': 'pascal',
'descr': 'Broadwell computing nodes with Nvidia Pascal GPUs',
'scheduler': 'pbs',
'launcher': 'mpirun',
'access': ['-q pascalq'],
'environs': ['default'],
'max_jobs': 20,
'features': ['gpu', 'cuda'],
'processor': {
'num_cpus': 36,
'num_cpus_per_core': 1,
'num_sockets': 2,
'num_cpus_per_socket': 18,
},
'resources': [
{
'name': 'gpu',
'options': ['ngpus={num_gpus_per_node}'],
},
],
},
{
'name': 'volta',
'descr': 'Cascadelake computing nodes with Nvidia Volta GPUs',
'scheduler': 'pbs',
'launcher': 'mpirun',
'access': ['-q voltaq'],
'environs': ['default'],
'max_jobs': 20,
'features': ['gpu', 'cuda'],
'processor': {
'num_cpus': 40,
'num_cpus_per_core': 1,
'num_sockets': 2,
'num_cpus_per_socket': 20,
},
'resources': [
{
'name': 'gpu',
'options': ['ngpus={num_gpus_per_node}'],
},
],
},
]
}, # end Isambard MACS
{
# https://gw4-isambard.github.io/docs/user-guide/A64FX.html
'name': 'isambard-a64fx',
'descr': 'A64FX nodes of Isambard 2',
'hostnames': ['gw4a64fxlogin[0-9]+'],
'partitions': [
{
'name': 'a64fx',
'descr': 'A64FX computing nodes',
'scheduler': 'pbs',
'launcher': 'mpirun',
'access': ['-q a64fx'],
'environs': ['default'],
'max_jobs': 20,
'processor': {
'num_cpus': 48,
'num_cpus_per_core': 1,
'num_sockets': 1,
'num_cpus_per_socket': 48,
},
},
]
}, # end Isambard A64FX
{
# https://gw4-isambard.github.io/docs/user-guide/PHASE3.html
'name': 'isambard-phase3',
'descr': 'Isambard 2 Phase 3 system',
'hostnames': ['p3-login'],
'modules_system': 'lmod',
'partitions': [
{
'name': 'ampere',
'descr': 'AMD Milan computing nodes with Nvidia Ampere GPUs',
'scheduler': 'pbs',
'launcher': 'mpirun',
'access': ['-q ampereq'],
'environs': ['default'],
'max_jobs': 20,
'features': ['gpu', 'cuda'],
'processor': {
'num_cpus': 64,
'num_cpus_per_core': 2,
'num_sockets': 1,
'num_cpus_per_socket': 32,
},
'resources': [
{
'name': 'gpu',
# TODO: memory should be a separate resource.
'options': ['ngpus={num_gpus_per_node}:mem=20G'],
},
],
},
{
'name': 'instinct',
'descr': 'AMD Instinct GPU nodes with 4x AMD Instinct "MI100" GPU',
'scheduler': 'pbs',
'launcher': 'mpirun',
'access': ['-q instinctq', '-l place=excl'],
'environs': ['default'],
'max_jobs': 20,
'features': ['gpu', 'rocm'],
'processor': {
'num_cpus': 64,
'num_cpus_per_core': 2,
'num_sockets': 1,
'num_cpus_per_socket': 32,
}
},
{
'name': 'milan',
'descr': 'AMD EPYC 7713 64-Core Processor "Milan" compute nodes',
'scheduler': 'pbs',
'launcher': 'mpiexec',
'modules': ['cray-pals'],
'access': ['-q milanq'],
'environs': ['default'],
'max_jobs': 20,
'processor': {
'num_cpus': 256,
'num_cpus_per_core': 2,
'num_sockets': 2,
'num_cpus_per_socket': 64,
},
},
]
}, # end Isambard Phase3
{
# https://gw4-isambard.github.io/docs/user-guide/XCI.html
'name': 'isambard-xci',
'descr': 'XCI - Marvell Thunder X2 nodes of Isambard 2',
'hostnames': ['xcil0[0-1]'],
'partitions': [
{
'name': 'compute-node',
'descr': 'XCI computing nodes',
'scheduler': 'pbs',
'launcher': 'alps',
'access': ['-q arm'],
'environs': ['default'],
'max_jobs': 20,
'processor': {
'num_cpus': 256,
'num_cpus_per_core': 4,
'num_sockets': 2,
'num_cpus_per_socket': 128,
},
},
]
}, # end Isambard XCI
{
'name': 'cosma7',
'descr': 'COSMA',
'hostnames': ['login7[a-z].pri.cosma[0-9].alces.network'],
'modules_system': 'tmod4',
'partitions': [
# https://www.dur.ac.uk/icc/cosma/cosma7/
{
'name': 'compute-node',
'descr': 'Compute nodes',
'scheduler': 'slurm',
'launcher': 'mpirun',
'access': ['--partition=cosma7'],
'environs': ['default'],
'max_jobs': 64,
'processor': {
'num_cpus': 28,
'num_cpus_per_core': 1,
'num_sockets': 1,
'num_cpus_per_socket': 28,
},
},
# https://www.dur.ac.uk/icc/cosma/support/rockport/
{
'name': 'rockport-intelmpi-compute-node',
'descr': 'Rockport compute nodes using Intel MPI',
'scheduler': 'slurm',
'launcher': 'mpirun',
'modules': ['rockport-settings', 'ucx'],
'access': ['--partition=cosma7-rp'],
'environs': ['default'],
'max_jobs': 64,
'processor': {
'num_cpus': 28,
'num_cpus_per_core': 1,
'num_sockets': 1,
'num_cpus_per_socket': 28,
},
},
# https://www.dur.ac.uk/icc/cosma/support/rockport/
{
'name': 'rockport-openmpi-compute-node',
'descr': 'Rockport compute nodes using OpenMPI',
'scheduler': 'slurm',
'launcher': 'rockport_openmpi_mpirun',
'modules': ['rockport-settings', 'ucx'],
'access': ['--partition=cosma7-rp'],
'environs': ['default'],
'max_jobs': 64,
'processor': {
'num_cpus': 28,
'num_cpus_per_core': 1,
'num_sockets': 1,
'num_cpus_per_socket': 28,
},
},
]
}, # end cosma7
{
# https://www.dur.ac.uk/icc/cosma/support/cosma8/
'name': 'cosma8',
'descr': 'COSMA',
'hostnames': ['login8[a-z].pri.cosma[0-9].alces.network'],
'modules_system': 'tmod4',
'partitions': [
{
'name': 'compute-node',
'descr': 'Compute nodes',
'scheduler': 'slurm',
'launcher': 'mpiexec',
'access': ['--partition=cosma8'],
'environs': ['default', 'intel20-mpi-durham', 'intel20_u2-mpi-durham', 'intel19-mpi-durham', 'intel19_u3-mpi-durham'],
'sched_options': {
'use_nodes_option': True,
},
'max_jobs': 64,
'processor': {
'num_cpus': 128,
'num_cpus_per_core': 1,
'num_sockets': 2,
'num_cpus_per_socket': 64,
},
}
]
}, # end cosma8
{
'name': 'github-actions',
'descr': 'GitHub Actions runner',
'hostnames': ['fv-az.*'], # Just to not have '.*'
'max_local_jobs': 1, # Limit number of parallel jobs
'partitions': [
{
'name': 'default',
'scheduler': 'local',
'launcher': 'mpirun',
'environs': ['default']
}
]
}, # End GitHub Actions
{
# https://epcced.github.io/dirac-docs/tursa-user-guide/scheduler/#partitions
'name': 'tursa',
'descr': 'Tursa',
'hostnames': ['tursa-login.*'],
'partitions': [
{
'name': 'gpu',
'descr': 'GPU computing nodes',
'scheduler': 'slurm',
'launcher': 'mpirun',
'access': ['--partition=gpu', '--qos=standard'],
'environs': ['default'],
'features': ['gpu', 'cuda'],
'sched_options': {
'use_nodes_option': True,
},
'max_jobs': 16,
'processor': {
'num_cpus': 64,
'num_cpus_per_core': 2,
'num_sockets': 1,
'num_cpus_per_socket': 32,
},
'resources': [
{
'name': 'gpu',
'options': ['--gres=gpu:{num_gpus_per_node}']
},
],
},
]
}, # end Tursa
{
# https://dial3-docs.dirac.ac.uk/DIaL2.5/Architecture/
'name': 'dial2',
'descr': 'Dirac Data Intensive @ Leicester',
'hostnames': ['dirac0*'],
'modules_system': 'lmod',
'partitions': [
{
'name': 'compute-node',
'descr': 'Computing nodes',
'scheduler': 'torque',
'launcher': 'mpirun',
'environs': ['default'],
'max_jobs': 64,
'processor': {
'num_cpus': 36,
'num_cpus_per_core': 1,
'num_sockets': 2,
'num_cpus_per_socket': 18,
},
},
]
}, # end DiaL2
{
# https://dial3-docs.dirac.ac.uk/About_dial3/architecture/
'name': 'dial3',
'descr': 'Dirac Data Intensive @ Leicester',
'hostnames': ['d3-login.*'],
'modules_system': 'lmod',
'partitions': [
{
'name': 'compute-node',
'descr': 'Computing nodes',
'scheduler': 'slurm',
'launcher': 'mpirun',
'environs': ['default', 'intel-oneapi-openmpi-dial3','intel19-mpi-dial3'],
'max_jobs': 64,
'processor': {
'num_cpus': 128,
'num_cpus_per_core': 1,
'num_sockets': 2,
'num_cpus_per_socket': 64,
},
},
]
}, # end DiaL3
{
'name': 'default',
'descr': 'Default system',
'hostnames': ['.*'],
'partitions': [
{
'name': 'default',
'scheduler': 'local',
'launcher': 'mpirun',
'environs': ['default'],
},
]
}, # end default
# < insert new systems here >
],
'environments': [
{
# Since we always build with spack, we are not using the compilers in this environment.
# The compilers spack uses are definied in the spack specs of the reframe config
# for each app. Nevertheless, we have to define an environment here to make ReFrame happy.
'name': 'default',
'cc': 'cc',
'cxx': 'c++',
'ftn': 'ftn'
},
{
'name': 'intel20-mpi-durham',
'modules':['intel_comp/2020','intel_mpi/2020'],
'cc': 'mpiicc',
'cxx': 'mpiicpc',
'ftn': 'mpiifort'
},
{
'name': 'intel20_u2-mpi-durham',
'modules':['intel_comp/2020-update2','intel_mpi/2020-update2'],
'cc': 'mpiicc',
'cxx': 'mpiicpc',
'ftn': 'mpiifort'
},
{
'name': 'intel19-mpi-durham',
'modules':['intel_comp/2019','intel_mpi/2019'],
'cc': 'mpiicc',
'cxx': 'mpiicpc',
'ftn': 'mpiifort'
},
{
'name': 'intel19_u3-mpi-durham',
'modules':['intel_comp/2019-update3','intel_mpi/2019-update3'],
'cc': 'mpiicc',
'cxx': 'mpiicpc',
'ftn': 'mpiifort'
},
{
'name':'intel-oneapi-openmpi-dial3',
'modules':['intel-oneapi-compilers/2021.2.0','openmpi4/intel/4.0.5'],
'cc':'mpicc',
'cxx':'mpicxx',
'ftn':'mpif90'
},
{
'name': 'intel19-mpi-dial3',
'modules':['intel-parallel-studio/cluster.2019.5'],
'cc': 'mpiicc',
'cxx': 'mpiicpc',
'ftn': 'mpiifort'
},
{
'name': 'intel2020-csd3',
'modules': ["intel/compilers/2020.4",
"intel/mkl/2020.4",
"intel/impi/2020.4/intel",
"intel/libs/idb/2020.4",
"intel/libs/tbb/2020.4",
"intel/libs/ipp/2020.4",
"intel/libs/daal/2020.4",
"intel/bundles/complib/2020.4"],
'cc': 'mpiicc',
'cxx': 'mpiicpc',
'ftn': 'mpiifort'
},
],
'logging': [
{
'level': 'debug',
'handlers': [
{
'type': 'stream',
'name': 'stdout',
'level': 'info',
'format': '%(message)s'
},
{
'type': 'file',
'level': 'debug',
'format': '[%(asctime)s] %(levelname)s: %(check_info)s: %(message)s', # noqa: E501
'append': False
}
],
'handlers_perflog': [
{
'type': 'filelog',
'prefix': '%(check_system)s/%(check_partition)s',
'level': 'info',
'format': (
'%(check_job_completion_time)s|'
'reframe %(version)s|'
'%(check_info)s|'
'%(check_jobid)s|'
'%(check_num_tasks)s|'
'%(check_num_cpus_per_task)s|'
'%(check_num_tasks_per_node)s|'
'%(check_num_gpus_per_node)s|'
'%(check_perfvalues)s|'
'%(check_spack_spec)s|'
'%(check_display_name)s|'
'%(check_system)s|'
'%(check_partition)s|'
'%(check_environ)s|'
'%(check_extra_resources)s|'
'%(check_env_vars)s|'
'%(check_tags)s'
),
'format_perfvars': (
'%(check_perf_value)s|'
'%(check_perf_unit)s|'
'%(check_perf_ref)s|'
'%(check_perf_lower_thres)s|'
'%(check_perf_upper_thres)s|'
),
'append': True
}
]
}
],
}