def __init__(self, lang, extension):
super().__init__(lang, extension)
self.valid_systems = ['daint:gpu', 'dom:gpu', 'kesch:cn', 'tiger:gpu',
'arolla:cn', 'tsa:cn']
self.num_gpus_per_node = 1
self.num_tasks_per_node = 1
self.system_modules = {
'arolla': ['cuda/10.1.243'],
'daint': ['craype-accel-nvidia60'],
'dom': ['craype-accel-nvidia60'],
'kesch': ['cudatoolkit/8.0.61'],
'tiger': ['craype-accel-nvidia60'],
'tsa': ['cuda/10.1.243']
}
sysname = self.current_system.name
self.modules += self.system_modules.get(sysname, [])
# as long as cuda/9 will not be the default, we will need:
if sysname in {'daint', 'kesch'}:
self.variables = {'ALLINEA_FORCE_CUDA_VERSION': '8.0'}
elif sysname in {'arolla', 'tsa'}:
self.variables = {'ALLINEA_FORCE_CUDA_VERSION': '10.1'}
self.ddt_options = [
'--offline --output=ddtreport.txt ',
'--break-at _jacobi-cuda-kernel.cu:59 --evaluate *residue_d ',
'--trace-at _jacobi-cuda-kernel.cu:111,residue'
]
self.build_system.cppflags = ['-DUSE_MPI', '-D_CSCS_ITMAX=5']
if self.current_system.name == 'kesch':
arch = 'sm_37'
self.build_system.ldflags = ['-lm', '-lcudart']
elif self.current_system.name in ['arolla', 'tsa']:
arch = 'sm_70'
self.build_system.ldflags = ['-lstdc++', '-lm',
'-L$EBROOTCUDA/lib64',
'-lcudart']
else:
arch = 'sm_60'
self.build_system.ldflags = ['-lstdc++']
self.build_system.options = ['NVCCFLAGS="-g -arch=%s"' % arch]
self.sanity_patterns = sn.all([
sn.assert_found('MPI implementation', 'ddtreport.txt'),
sn.assert_found('Evaluate', 'ddtreport.txt'),
sn.assert_found(r'\*residue_d:', 'ddtreport.txt'),
sn.assert_found(r'Debugging\s*:\s*srun\s+%s' % self.executable,
'ddtreport.txt'),
sn.assert_lt(sn.abs(sn.extractsingle(
r'^tracepoint\s+.*\s+residue:\s+(?P<result>\S+)',
'ddtreport.txt', 'result', float) - 0.25), 1e-5),
sn.assert_found(r'Every process in your program has terminated\.',
'ddtreport.txt')
])
def __init__(self, scale, variant):
super().__init__()
self.descr = f'QuantumESPRESSO GPU check (version: {scale}, {variant})'
self.valid_systems = ['daint:gpu']
# FIXME: Unify modules after daint upgrade
if self.current_system.name == 'daint':
self.modules = ['QuantumESPRESSO/6.5a1-CrayPGI-19.10-cuda-10.1']
else:
self.modules = ['QuantumESPRESSO']
self.num_gpus_per_node = 1
if scale == 'small':
self.valid_systems += ['dom:gpu']
self.num_tasks = 6
energy_reference = -11427.09017176
else:
self.num_tasks = 16
energy_reference = -11427.09017179
self.num_tasks_per_node = 1
self.num_cpus_per_task = 12
energy = sn.extractsingle(r'!\s+total energy\s+=\s+(?P<energy>\S+) Ry',
self.stdout, 'energy', float)
energy_diff = sn.abs(energy-energy_reference)
self.sanity_patterns = sn.all([
self.sanity_patterns,
sn.assert_lt(energy_diff, 1e-8)
])
references = {
'maint': {
'small': {
'dom:gpu': {'time': (61.0, None, 0.05, 's')},
'daint:gpu': {'time': (61.0, None, 0.05, 's')}
},
'large': {
'daint:gpu': {'time': (54.0, None, 0.05, 's')}
}
},
'prod': {
'small': {
'dom:gpu': {'time': (61.0, None, 0.05, 's')},
'daint:gpu': {'time': (61.0, None, 0.05, 's')}
},
'large': {
'daint:gpu': {'time': (54.0, None, 0.05, 's')}
}
}
}
self.reference = references[variant][scale]
self.tags |= {'maintenance' if variant == 'maint' else 'production'}
def __init__(self):
super().__init__()
self.descr = 'OpenFOAM check of reconstructPar: heatexchanger tutorial'
self.executable_opts = ['-latestTime', '-region air']
self.readonly_files = [
'processor0', 'processor1', 'processor2', 'processor3'
]
self.sanity_patterns = sn.all([
sn.assert_found('Time = 2000', self.stdout),
sn.assert_found(r'^\s*[Ee]nd', self.stdout)
])
def __init__(self):
super().__init__()
self.descr = ('verifies reading info of a compressed netCDF-4 file')
self.executable = 'ncks'
self.executable_opts = [
'-M', 'test_echam_spectral-deflated_wind10_wl_ws.nc4c'
]
self.sanity_patterns = sn.all([
sn.assert_not_found(r'(?i)unsupported|error', self.stderr),
sn.assert_found(r'physics.*Modified ECMWF physics', self.stdout)
])
def __init__(self):
super().__init__()
self.descr = 'OpenFOAM check of foamyHexMesh: motorbike tutorial'
self.executable_opts = ['-parallel']
self.num_tasks = 8
self.num_tasks_per_node = 8
self.sanity_patterns = sn.all([
sn.assert_found('Time = 100\n', self.stdout),
sn.assert_found('Finalising parallel run', self.stdout),
sn.assert_found(r'^\s*[Ee]nd', self.stdout)
])
def __init__(self):
super().__init__()
self.descr = 'OpenFOAM check of pimpleFoam: tjunction tutorial'
residual = sn.extractall(
r'Solving for epsilon, \w+\s\w+\s=\s\d.\d+.\s'
r'Final residual\s=\s(?P<res>-?\S+),', self.stdout, 'res', float)
self.sanity_patterns = sn.all(
sn.chain(
sn.map(lambda x: sn.assert_lt(x, 5.e-05), residual),
[sn.assert_found(r'^\s*[Ee]nd', self.stdout)],
))
def __init__(self):
super().__init__()
self.descr = 'OpenFOAM check of checkMesh: flange tutorial'
self.executable_opts = ['-latestTime', '-allTopology',
'-allGeometry', '-parallel']
self.num_tasks = 8
self.num_tasks_per_node = 8
self.sanity_patterns = sn.all([
sn.assert_found('Finalising parallel run', self.stdout),
sn.assert_found(r'^\s*[Ee]nd', self.stdout)
])
def assert_successful_execution(self):
'''Checks that the program is running on 2 different nodes (nids
are different), that IPCMagic is configured and returns the correct
end-of-program message (returns the slope parameter in the end).'''
nids = sn.extractall(r'nid(?P<nid>\d+)', self.stdout, 'nid', str)
return sn.all([
sn.assert_eq(sn.len(nids), 2),
sn.assert_ne(nids[0], nids[1]),
sn.assert_found(r'slope=\S+', self.stdout)
])
def __init__(self):
self.valid_prog_environs = ['PrgEnv-gnu']
self.valid_systems = [
'daint:gpu', 'dom:gpu', 'kesch:cn', 'tiger:gpu', 'arolla:cn',
'tsa:cn'
]
self.num_gpus_per_node = 1
self.num_tasks_per_node = 1
self.sourcesdir = 'src/Cuda'
self.executable = 'cuda-gdb'
self.executable_opts = ['-x .in.cudagdb ./cuda_gdb_check']
# unload xalt to avoid runtime error:
self.pre_run = ['unset LD_PRELOAD']
if self.current_system.name == 'kesch':
self.exclusive_access = True
self.modules = ['cudatoolkit/8.0.61']
nvidia_sm = '37'
elif self.current_system.name in ['arolla', 'tsa']:
self.exclusive_access = True
self.modules = ['cuda/10.1.243']
nvidia_sm = '70'
else:
self.modules = ['craype-accel-nvidia60']
nvidia_sm = '60'
self.build_system = 'Make'
self.build_system.makefile = 'Makefile_cuda_gdb'
self.build_system.cflags = [
'-g', '-D_CSCS_ITMAX=1', '-DUSE_MPI', '-fopenmp'
]
self.build_system.cxxflags = ['-g', '-G', '-arch=sm_%s' % nvidia_sm]
self.build_system.ldflags = ['-g', '-fopenmp', '-lstdc++']
if self.current_system.name == 'kesch':
self.build_system.ldflags = [
'-g', '-fopenmp', '-lcublas', '-lcudart', '-lm'
]
elif self.current_system.name in ['arolla', 'tsa']:
self.build_system.ldflags += [
'-L$EBROOTCUDA/lib64', '-lcudart', '-lm'
]
self.sanity_patterns = sn.all([
sn.assert_found(r'^Breakpoint 1 at .*: file ', self.stdout),
sn.assert_found(r'_jacobi-cuda-kernel.cu, line 59\.', self.stdout),
sn.assert_found(r'^\(cuda-gdb\) quit', self.stdout),
sn.assert_lt(
sn.abs(
sn.extractsingle(r'\$1\s+=\s+(?P<result>\S+)', self.stdout,
'result', float)), 1e-5)
])
self.maintainers = ['MKr', 'JG']
self.tags = {'production', 'craype'}
def __init__(self):
super().__init__()
self.descr = ('OpenFOAM-Extend check of reconstructPar: '
'multiRegionHeater test')
self.executable_opts = ['-parallel']
self.num_tasks = 4
self.num_tasks_per_node = 4
result = sn.extractall(r'\sglobal\s=\s(?P<res>-?\S+),', self.stdout,
'res', float)[-5:]
self.sanity_patterns = sn.all(
sn.map(lambda x: sn.assert_lt(abs(x), 1.e-04), result))
def __init__(self, lang):
super().__init__()
self.name = 'scorep_mpi_omp_%s' % lang.replace('+', 'p')
self.descr = 'SCORE-P %s check' % lang
self.valid_systems = ['daint:gpu', 'daint:mc', 'dom:gpu', 'dom:mc']
# Score-P fails with latest clang based cce and pgi compilers:
# src/measurement/thread/fork_join/scorep_thread_fork_join_omp.c:402:
# Fatal: Bug 'TPD == 0': Invalid OpenMP thread specific data object.
# -> removing cce from supported compiler for now.
self.valid_prog_environs = ['PrgEnv-gnu', 'PrgEnv-intel']
self.prgenv_flags = {
'PrgEnv-gnu': ['-g', '-fopenmp'],
'PrgEnv-intel': ['-g', '-openmp'],
}
self.sourcesdir = os.path.join('src', lang)
self.executable = 'jacobi'
self.build_system = 'Make'
self.build_system.makefile = 'Makefile_scorep_mpi_omp'
# NOTE: Restrict concurrency to allow creation of Fortran modules
if lang == 'F90':
self.build_system.max_concurrency = 1
self.num_tasks = 3
self.num_tasks_per_node = 3
self.num_cpus_per_task = 4
self.num_iterations = 200
self.variables = {
'OMP_NUM_THREADS': str(self.num_cpus_per_task),
'ITERATIONS': str(self.num_iterations),
'SCOREP_ENABLE_PROFILING': 'false',
'SCOREP_ENABLE_TRACING': 'true',
'OMP_PROC_BIND': 'true',
'SCOREP_TIMER': 'clock_gettime'
}
cpu_count = self.num_cpus_per_task * self.num_tasks_per_node
self.otf2_file = 'otf2.txt'
self.sanity_patterns = sn.all([
sn.assert_found('SUCCESS', self.stdout),
sn.assert_eq(
sn.count(
sn.extractall(r'(?P<line>LEAVE.*omp\s+\S+\s+\@_jacobi)',
self.otf2_file, 'line')),
4 * self.num_iterations * cpu_count),
sn.assert_not_found('warning|WARNING', self.stderr)
])
self.maintainers = ['MK', 'JG']
self.tags = {'production'}
# additional program call in order to generate the tracing output for
# the sanity check
self.post_run = [
'otf2-print scorep-*/traces.otf2 > %s' % self.otf2_file
]
def set_sanity(self):
# {{{ 0/ MPICH version:
# MPI VERSION : CRAY MPICH version 7.7.15 (ANL base 3.2)
# MPI VERSION : CRAY MPICH version 8.0.16.17 (ANL base 3.3)
regex = r'^MPI VERSION\s+: CRAY MPICH version \S+ \(ANL base (\S+)\)'
rpt_file = os.path.join(self.stagedir, self.rpt)
mpich_version = sn.extractsingle(regex, rpt_file, 1)
reference_files = {
'3.2': {
'control': 'mpit_control_vars_32.ref',
'categories': 'mpit_categories_32.ref',
},
'3.3': {
'control': 'mpit_control_vars_33.ref',
'categories': 'mpit_categories_33.ref',
}
}
# }}}
# {{{ 1/ MPI Control Variables: MPIR_...
# --- extract reference data:
regex = r'^(?P<vars>MPIR\S+)$'
ref_file = os.path.join(
self.stagedir,
reference_files[sn.evaluate(mpich_version)]['control']
)
self.ref_control_vars = sorted(sn.extractall(regex, ref_file, 'vars'))
# --- extract runtime data:
regex = r'^\t(?P<vars>MPIR\S+)\t'
self.run_control_vars = sorted(sn.extractall(regex, rpt_file, 'vars'))
# --- debug with: grep -P '\tMPIR+\S*\t' rpt |awk '{print $1}' |sort
# }}}
# {{{ 2/ MPI Category:
# --- extract reference data:
regex = r'^(?P<category>.*)$'
ref = os.path.join(
self.stagedir,
reference_files[sn.evaluate(mpich_version)]['categories']
)
ref_cat_vars = sorted(sn.extractall(regex, ref, 'category'))
self.ref_cat_vars = list(filter(None, ref_cat_vars))
# --- extract runtime data:
regex = (r'^(?P<category>Category \w+ has \d+ control variables, \d+'
r' performance variables, \d+ subcategories)')
rpt = os.path.join(self.stagedir, self.rpt)
self.run_cat_vars = sorted(sn.extractall(regex, rpt, 'category'))
# }}}
# {{{ 3/ Extracted lists can be compared (when sorted):
self.sanity_patterns = sn.all([
sn.assert_eq(self.ref_control_vars, self.run_control_vars,
msg='sanity1 "mpit_control_vars.ref" failed'),
sn.assert_eq(self.ref_cat_vars, self.run_cat_vars,
msg='sanity2 "mpit_categories.ref" failed'),
])
def __init__(self):
super().__init__()
self.descr = ('verifies that the NCO supports the nc4 filetype')
self.sourcesdir = None
self.executable = 'ncks'
self.executable_opts = ['-r']
self.sanity_patterns = sn.all([
sn.assert_found(r'^netCDF4/HDF5 (support|available)\s+Yes\W',
self.stdout),
sn.assert_found(r'^netCDF4/HDF5 (support|enabled)\s+Yes\W',
self.stdout)
])
def validate_passed(self):
return sn.all([
sn.assert_not_found(
r'invalid because the ratio',
self.outfile_lazy,
msg='number of processes assigned could not be factorized'
),
sn.assert_eq(
4, sn.count(sn.findall(r'PASSED', self.outfile_lazy))
),
sn.assert_eq(0, self.num_tasks_assigned % self.num_tasks_per_node)
])
def __init__(self):
self.dep_name = f'spack_config_check_{util.toalphanum(self.spack_version)}'
self.depends_on(self.dep_name, how=udeps.by_env)
self.sanity_patterns = sn.all([
sn.assert_not_found(r'ERROR', self.stderr),
sn.assert_not_found(r'Error', self.stderr),
sn.assert_not_found(r'missing', self.stderr),
sn.assert_not_found(r'command not found', self.stderr),
])
self.executable_opts += [self.spack_pkg]
self.postrun_cmds = [f'spack install {self.spack_pkg}']
def set_sanity_patterns(self):
valid_test_ids = {i for i in range(11) if i not in {6, 9}}
assert_finished_tests = [
sn.assert_eq(
sn.count(sn.findall('Test%s finished' % test_id, self.stdout)),
self.job.num_tasks) for test_id in valid_test_ids
]
self.sanity_patterns = sn.all([
*assert_finished_tests,
sn.assert_not_found('(?i)ERROR', self.stdout),
sn.assert_not_found('(?i)ERROR', self.stderr)
])
def assert_count_gpus(self):
return sn.all([
sn.assert_eq(
sn.count(sn.findall(r'\[\S+\] Found \d+ gpu\(s\)',
self.stdout)), self.num_tasks_assigned),
sn.assert_eq(
sn.count(
sn.findall(
r'\[\S+\] \[gpu \d+\] Kernel launch '
r'latency: \S+ us', self.stdout)),
self.num_tasks_assigned * self.num_gpus_per_node)
])
def __init__(self, **kwargs):
super().__init__(
'buoyantBoussinesqSimpleFoam',
'OpenFOAM-Extend check buoyantBoussinesqSimpleFoam: hotRoom test',
**kwargs)
self.executable = 'buoyantBoussinesqSimpleFoam'
result = sn.extractall(r'\sglobal\s=\s(?P<res>\S+),', self.stdout,
'res', float)
self.sanity_patterns = sn.all(
sn.map(lambda x: sn.assert_lt(abs(x), 1.e-17), result))
def __init__(self):
# {{{ pe
self.descr = 'Tool validation'
self.valid_prog_environs = [
'PrgEnv-gnu', 'PrgEnv-intel', 'PrgEnv-pgi', 'PrgEnv-cray',
'PrgEnv-aocc', 'cpeAMD', 'cpeCray', 'cpeGNU', 'cpeIntel'
]
# NOTE: dom (slurm/20.11.4) is failing
self.valid_systems = [
'dom:mc', 'dom:gpu', 'daint:mc', 'daint:gpu', 'eiger:mc',
'pilatus:mc'
]
self.tool = 'gdb4hpc'
self.modules = [self.tool]
self.maintainers = ['JG']
self.tags = {'sph', 'hpctools', 'cpu', 'craype'}
# }}}
# {{{ compile
self.testname = 'sedov'
self.sourcepath = f'{self.testname}.cpp'
# TODO: self.prgenv_flags = -O0
self.executable = self.tool
self.target_executable = './mpi+omp'
# self.sourcepath = f'{self.testname}.cpp'
# self.target_executable = f'./{self.testname}.exe'
# self.postbuild_cmds = [f'mv {self.tool} {self.target_executable}']
# }}}
# {{{ run
self.time_limit = '10m'
self.version_rpt = 'version.rpt'
self.which_rpt = 'which.rpt'
self.gdb_slm = './gdb4hpc.slm'
self.gdb_in = './gdb4hpc.in'
self.gdb_rpt = './gdb4hpc.rpt'
self.executable_opts = [f'-b {self.gdb_in} #']
self.prerun_cmds = [
# f'srun --version >> {self.version_rpt}',
f'{self.tool} --version >> {self.version_rpt}',
f'which {self.tool} &> {self.which_rpt}',
'echo starttime=`date +%s`', # this is needed because:
'# Everything between the "#cray_debug_xxx" lines will be ignored',
'#cray_debug_start',
]
# }}}
# {{{ sanity
self.sanity_patterns = sn.all([
# check the job output:
sn.assert_found(r'Shutting down debugger and killing application',
self.stdout),
])
def __init__(self, **kwargs):
super().__init__('info_nc4c', **kwargs)
self.descr = ('verifies reading info of a compressed netCDF-4 file')
self.executable = 'ncks'
self.executable_opts = [
'-M', 'test_echam_spectral-deflated_wind10_wl_ws.nc4c'
]
self.sanity_patterns = sn.all([
sn.assert_not_found(r'(?i)unsupported|error', self.stderr),
sn.assert_found(r'^Global attribute \d+: CDO, size = 63 NC_CHAR',
self.stdout)
])
def __init__(self):
super().__init__()
self.descr = ('verifies reading info of a standard netCDF file')
self.executable = 'cdo'
self.executable_opts = ['info', 'sresa1b_ncar_ccsm3-example.nc']
# TODO: Add here also Warning? then it fails currently...
self.sanity_patterns = sn.all([
sn.assert_not_found(r'(?i)unsupported|error', self.stderr),
sn.assert_found(
r'info: Processed( 688128 values from)? '
r'5 variables over 1 timestep', self.stderr)
])
def __init__(self):
super().__init__()
self.descr = 'OpenFOAM-Extend check of simpleFoam: motorbike tutorial'
self.executable_opts = ['-parallel']
self.num_tasks = 6
self.num_tasks_per_node = 6
result = sn.extractall(
r'time step continuity errors : '
r'\S+\s\S+ = \S+\sglobal = (?P<res>-?\S+),', self.stdout, 'res',
float)
self.sanity_patterns = sn.all(
sn.map(lambda x: sn.assert_lt(abs(x), 5.e-04), result))
def __init__(self):
self.descr = 'Check for standard Cray variables'
self.valid_prog_environs = ['builtin']
self.executable = 'module'
self.executable_opts = ['show', self.cray_module]
envvar_prefix = self.cray_module.upper().replace('-', '_')
self.sanity_patterns = sn.all([
sn.assert_found(f'{envvar_prefix}_PREFIX', self.stderr),
sn.assert_found(f'{envvar_prefix}_VERSION', self.stderr)
])
self.tags = {'production', 'craype'}
self.maintainers = ['EK', 'TM']
def __init__(self, **kwargs):
super().__init__(
'buoyantBoussinesqSimpleFoam',
'OpenFOAM check of buoyantBoussinesqSimpleFoam: hotroom tutorial',
**kwargs)
self.executable = 'buoyantBoussinesqSimpleFoam'
residual = sn.extractall(r'\sglobal\s=\s(?P<res>\S+),', self.stdout,
'res', float)
self.sanity_patterns = sn.all(
sn.chain(sn.map(lambda x: sn.assert_lt(x, 1.e-17), residual),
[sn.assert_found(r'^\s*[Ee]nd', self.stdout)]))
def __init__(self, **kwargs):
super().__init__(
'interMixingFoam', 'OpenFOAM check of interMixingFoam:'
'dambreak tutorial', **kwargs)
self.sanity_patterns = sn.all([
sn.assert_eq(
sn.count(
sn.findall('(?P<line>Air phase volume fraction)',
self.stdout)), 2534),
sn.assert_found(r'^\s*[Ee]nd', self.stdout)
])
def __init__(self, prg_envs):
super().__init__()
self.valid_systems = ['daint:gpu', 'dom:gpu']
self.valid_prog_environs = prg_envs
self.modules = ['craype-accel-nvidia60']
self.configs = {
'PrgEnv-gnu': 'cscs-gnu',
'PrgEnv-cray': 'cscs-cray',
'PrgEnv-pgi': 'cscs-pgi',
}
app_source = os.path.join(self.current_system.resourcesdir,
'SPEC_ACCELv1.2')
self.prebuild_cmd = ['cp -r %s/* .' % app_source,
'./install.sh -d . -f']
# I just want prebuild_cmd, but no action for the build_system
# is not supported, so I find it something useless to do
self.build_system = 'SingleSource'
self.sourcepath = './benchspec/ACCEL/353.clvrleaf/src/timer_c.c'
self.build_system.cflags = ['-c']
self.refs = {
env: {bench_name: (rt, None, 0.1, 'Seconds')
for (bench_name, rt) in
zip(self.benchmarks[env], self.exec_times[env])}
for env in self.valid_prog_environs
}
self.num_tasks = 1
self.num_tasks_per_node = 1
self.time_limit = (0, 30, 0)
self.executable = 'runspec'
outfile = sn.getitem(sn.glob('result/ACCEL.*.log'), 0)
self.sanity_patterns_ = {
env: sn.all([sn.assert_found(
r'Success.*%s' % bn, outfile) for bn in self.benchmarks[env]])
for env in self.valid_prog_environs
}
self.perf_patterns_ = {
env: {bench_name: sn.avg(sn.extractall(
r'Success.*%s.*runtime=(?P<rt>[0-9.]+)' % bench_name,
outfile, 'rt', float))
for bench_name in self.benchmarks[env]}
for env in self.valid_prog_environs
}
self.maintainers = ['SK']
self.tags = {'diagnostic', 'external-resources'}
def __init__(self, scale):
super().__init__()
self.descr = 'Quantum Espresso CPU check'
self.maintainers = ['AK', 'LM']
self.tags = {'scs', 'production', 'external-resources'}
self.sourcesdir = os.path.join(self.current_system.resourcesdir,
'Espresso')
self.valid_systems = ['daint:mc']
self.valid_prog_environs = ['PrgEnv-intel']
self.modules = ['QuantumESPRESSO']
self.executable = 'pw.x'
self.executable_opts = ['-in', 'ausurf.in']
if scale == 'small':
self.valid_systems += ['dom:mc']
self.num_tasks = 216
self.num_tasks_per_node = 36
self.reference = {
'dom:mc': {
'time': (159.0, None, 0.05, 's'),
},
'daint:mc': {
'time': (151.6, None, 0.05, 's')
},
}
else:
self.num_tasks = 576
self.num_tasks_per_node = 36
self.reference = {
'daint:mc': {
'time': (157.0, None, 0.40, 's')
},
}
self.use_multithreading = True
self.extra_resources = {
'switches': {
'num_switches': 1
}
}
self.strict_check = False
energy = sn.extractsingle(r'!\s+total energy\s+=\s+(?P<energy>\S+) Ry',
self.stdout, 'energy', float)
self.sanity_patterns = sn.all([
sn.assert_found(r'convergence has been achieved', self.stdout),
sn.assert_reference(energy, -11427.09017162, -1e-10, 1e-10)
])
self.perf_patterns = {
'time': sn.extractsingle(r'electrons :\s+(?P<sec>\S+)s CPU ',
self.stdout, 'sec', float)
}
def __init__(self, **kwargs):
super().__init__('collapseEdges',
'OpenFOAM check of collapseEdges: flange tutorial',
**kwargs)
self.executable_opts = ['-latestTime', '-collapseFaces', '-parallel']
self.num_tasks = 8
self.num_tasks_per_node = 8
self.sanity_patterns = sn.all([
sn.assert_found('Finalising parallel run', self.stdout),
sn.assert_found(r'^\s*[Ee]nd', self.stdout)
])
def __init__(self, **kwargs):
super().__init__(
'snappyHexMesh',
'OpenFOAM check of snappyHexMesh: motorbike tutorial', **kwargs)
self.executable_opts = ['-overwrite', ' -parallel']
self.num_tasks = 6
self.num_tasks_per_node = 6
self.sanity_patterns = sn.all([
sn.assert_found('Finalising parallel run', self.stdout),
sn.assert_found(r'^\s*[Ee]nd', self.stdout)
])
def validate_energy(self):
energy = sn.avg(sn.extractall(
r'ENERGY:([ \t]+\S+){10}[ \t]+(?P<energy>\S+)',
self.stdout, 'energy', float)
)
energy_reference = -2451359.5
energy_diff = sn.abs(energy - energy_reference)
return sn.all([
sn.assert_eq(sn.count(sn.extractall(
r'TIMING: (?P<step_num>\S+) CPU:',
self.stdout, 'step_num')), 50),
sn.assert_lt(energy_diff, 2720)
])
