def run_experiment(data, start_message, ignore, jabber):
'''Load and parse data from files and run result.'''
if not os.path.isfile(data.sched_file):
raise IOError("Cannot find schedule file: %s" % data.sched_file)
dir_name, fname = os.path.split(data.sched_file)
work_dir = "%s/tmp" % dir_name
procs, execs = load_schedule(data.name, data.sched_file, data.params.duration)
pre_executables = []
#Load QPS executables to pass as parameter to Experiment class
if data.params.scheduler == 'QPS':
pre_executables += load_sets(os.path.join(dir_name, FILES['sets_file']))
pre_executables += load_masters(os.path.join(dir_name, FILES['masters_file']))
if data.params.scheduler == 'RUN':
pre_executables += load_nodes(os.path.join(dir_name, FILES['nodes_file']))
exp = Experiment(data.name, data.params.scheduler, work_dir,
data.out_dir, procs, execs, data.params.tracers, pre_executables)
exp.log(start_message)
if not ignore:
verify_environment(data.params)
run_script(data.params.pre_script, exp, dir_name, work_dir)
exp.run_exp()
run_script(data.params.post_script, exp, dir_name, data.out_dir)
if jabber:
jabber.send("Completed '%s'" % data.name)
# Save parameters used to run dataeriment in out_dir
out_params = dict([(PARAMS['sched'], data.params.scheduler),
(PARAMS['tasks'], len(execs)),
(PARAMS['dur'], data.params.duration)] +
data.params.file_params.items())
# Feather-trace clock frequency saved for accurate overhead parsing
ft_freq = com.ft_freq()
if ft_freq:
out_params[PARAMS['cycles']] = ft_freq
out_param_f = "%s/%s" % (data.out_dir, FILES['params_file'])
with open(out_param_f, 'w') as f:
pprint.pprint(out_params, f)
def run_experiment(data, start_message, ignore, jabber):
'''Load and parse data from files and run result.'''
if not os.path.isfile(data.sched_file):
raise IOError("Cannot find schedule file: %s" % data.sched_file)
dir_name, fname = os.path.split(data.sched_file)
work_dir = "%s/tmp" % dir_name
procs, execs = load_schedule(data.name, data.sched_file, data.params.duration)
pre_executables = []
#Load QPS executables to pass as parameter to Experiment class
if data.params.scheduler == 'QPS':
pre_executables += load_sets(os.path.join(dir_name, FILES['sets_file']))
pre_executables += load_masters(os.path.join(dir_name, FILES['masters_file']))
if data.params.scheduler == 'RUN':
pre_executables += load_nodes(os.path.join(dir_name, FILES['nodes_file']))
exp = Experiment(data.name, data.params.scheduler, work_dir,
data.out_dir, procs, execs, data.params.tracers, pre_executables)
exp.log(start_message)
if not ignore:
verify_environment(data.params)
run_script(data.params.pre_script, exp, dir_name, work_dir)
exp.run_exp()
run_script(data.params.post_script, exp, dir_name, data.out_dir)
if jabber:
jabber.send("Completed '%s'" % data.name)
# Save parameters used to run dataeriment in out_dir
out_params = dict([(PARAMS['sched'], data.params.scheduler),
(PARAMS['tasks'], len(execs)),
(PARAMS['dur'], data.params.duration)] +
data.params.file_params.items())
# Feather-trace clock frequency saved for accurate overhead parsing
ft_freq = com.ft_freq()
if ft_freq:
out_params[PARAMS['cycles']] = ft_freq
out_param_f = "%s/%s" % (data.out_dir, FILES['params_file'])
with open(out_param_f, 'w') as f:
pprint.pprint(out_params, f)
