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author | Daniel Friesel <daniel.friesel@uos.de> | 2019-11-25 15:15:07 +0100 |
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committer | Daniel Friesel <daniel.friesel@uos.de> | 2019-11-25 15:15:07 +0100 |
commit | 40071a6e1ad9b53608f2d010fc7a62786895b05d (patch) | |
tree | c10f366bf1099ab2adea0bab78f814e4f7f52487 /bin/eval-accounting-overhead.py | |
parent | 1cea59bcc6235dbaa83069f454107664a06f2ab3 (diff) |
add accounting overhead evaluation helper
Diffstat (limited to 'bin/eval-accounting-overhead.py')
-rwxr-xr-x | bin/eval-accounting-overhead.py | 34 |
1 files changed, 34 insertions, 0 deletions
diff --git a/bin/eval-accounting-overhead.py b/bin/eval-accounting-overhead.py new file mode 100755 index 0000000..9f1e98c --- /dev/null +++ b/bin/eval-accounting-overhead.py @@ -0,0 +1,34 @@ +#!/usr/bin/env python3 +""" +eval-accounting-overhead -- evaluate overhead of various accounting methods and energy/power/timestamp integer sizes + +Usage: +PYTHONPATH=lib bin/eval-accounting-overhead.py <files ...> + +Data Generation: +for accounting in static_state_immediate 'static_state' 'static_statetransition_immediate' 'static_statetransition'; do for intsize in uint16_t uint32_t uint64_t; do PYTHONPATH=~/var/ess/aemr/dfatool/lib ~/var/ess/aemr/dfatool/bin/generate-dfa-benchmark.py --timer-pin=GPIO::p1_0 --sleep=30 --repeat=10 --depth=10 --arch=msp430fr5994lp --app=test_benchmark --trace-filter='setup,setAutoAck,write,getEnergy,$' --timing --dummy= --accounting=${accounting},ts_type=${intsize},power_type=${intsize},energy_type=${intsize} model/driver/nrf24l01.dfa ~/var/projects/multipass/src/app/test_benchmark/main.cc; done; done + +Feed the resulting files into this script, output is one line per file +providing overhead per transition and getEnergy overhead + +""" + +from dfatool import AnalyticModel, TimingData, pta_trace_to_aggregate +import json +import sys + +for filename in sys.argv[1:]: + with open(filename, 'r') as f: + measurement = json.load(f) + raw_data = TimingData([filename]) + preprocessed_data = raw_data.get_preprocessed_data() + by_name, parameters, arg_count = pta_trace_to_aggregate(preprocessed_data) + model = AnalyticModel(by_name, parameters, arg_count) + static_model = model.get_static() + if 'setup' in model.names: + transition_duration = static_model('setup', 'duration') + elif 'init' in model.names: + transition_duration = static_model('init', 'duration') + get_energy_duration = static_model('getEnergy', 'duration') + + print('{:60s}: {:.0f} / {:.0f} µs'.format(measurement['opt']['accounting'], transition_duration, get_energy_duration)) |