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energy_model: adding dhrystone support

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- updated energy_model to accept dhrystone as well as sysbench as
  the workload
- added "threads" parameter to sysbench (basically, an alias for
  "num_threads") to be consistent with dhrystone
- added "taskset_mask" parameter to dhrystone to allow pinning
  it to specific cores.
This commit is contained in:
Sergei Trofimov
2015-06-11 10:10:36 +01:00
parent 88ba8e3ba7
commit 67896dfd86
3 changed files with 30 additions and 11 deletions
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15
wlauto/instrumentation/energy_model/__init__.py
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@@ -649,8 +649,8 @@ class EnergyModelInstrument(Instrument):
spec.workload.validate()
new_specs.append(spec)
for old_spec in old_specs:
if old_spec.workload_name != 'sysbench':
raise ConfigError('Only sysbench workload currently supported for energy_model generation.')
if old_spec.workload_name in ['sysbench', 'dhrystone']:
raise ConfigError('Only sysbench and dhrystone workloads currently supported for energy_model generation.')
for freq in cluster_frequencies:
for num_cpus in xrange(1, self.number_of_cpus[cluster] + 1):
spec = old_spec.copy()
@@ -660,11 +660,12 @@ class EnergyModelInstrument(Instrument):
spec.id = '{}_{}_{}'.format(cluster, num_cpus, freq)
spec.label = 'freq_{}_{}'.format(cluster, spec.label)
spec.workload_parameters['taskset_mask'] = list_to_mask(self.get_cpus(cluster))
spec.workload_parameters['num_threads'] = num_cpus
# max_requests set to an arbitrary high values to make sure
# sysbench runs for full duriation even on highly
# performant cores.
spec.workload_parameters['max_requests'] = 10000000
spec.workload_parameters['threads'] = num_cpus
if old_spec.workload_name == 'sysbench':
# max_requests set to an arbitrary high values to make sure
# sysbench runs for full duriation even on highly
# performant cores.
spec.workload_parameters['max_requests'] = 10000000
spec.cluster = cluster
spec.num_cpus = num_cpus
spec.frequency = freq