diff options
Diffstat (limited to 'tests/eas/generic.py')
| -rw-r--r-- | tests/eas/generic.py | 32 |
1 files changed, 25 insertions, 7 deletions
diff --git a/tests/eas/generic.py b/tests/eas/generic.py index 74cc546..ce090d0 100644 --- a/tests/eas/generic.py +++ b/tests/eas/generic.py @@ -29,7 +29,7 @@ from trace import Trace from unittest import SkipTest -WORKLOAD_PERIOD_MS = 10 +WORKLOAD_PERIOD_MS = 16 SET_IS_BIG_LITTLE = True SET_INITIAL_TASK_UTIL = True @@ -63,7 +63,7 @@ class _EnergyModelTest(LisaTest): negative_slack_allowed_pct = 15 """Percentage of RT-App task activations with negative slack allowed""" - energy_est_threshold_pct = 20 + energy_est_threshold_pct = 5 """ Allowed margin for error in estimated energy cost for task placement, compared to optimal placment. @@ -311,7 +311,7 @@ class OneSmallTask(_EnergyModelTest): 'params' : { 'duty_cycle_pct': 20, 'duration_s': 2, - 'period_ms': 10, + 'period_ms': WORKLOAD_PERIOD_MS, }, 'tasks' : 1, 'prefix' : 'many', @@ -329,6 +329,15 @@ class ThreeSmallTasks(_EnergyModelTest): """ Test EAS for 3 20% tasks over 2 seconds """ + + # The energy estimation for this test is probably not very accurate and this + # isn't a very realistic workload. It doesn't really matter if we pick an + # "ideal" task placement for this workload, we just want to avoid using big + # CPUs in a big.LITTLE system. So use a larger energy threshold that + # hopefully prevents too much use of big CPUs but otherwise is flexible in + # allocation of LITTLEs. + energy_est_threshold_pct = 20 + workloads = { 'three_small' : { 'type' : 'rt-app', @@ -337,7 +346,7 @@ class ThreeSmallTasks(_EnergyModelTest): 'params' : { 'duty_cycle_pct': 20, 'duration_s': 2, - 'period_ms': 10, + 'period_ms': WORKLOAD_PERIOD_MS, }, 'tasks' : 3, 'prefix' : 'many', @@ -363,7 +372,7 @@ class TwoBigTasks(_EnergyModelTest): 'params' : { 'duty_cycle_pct': 80, 'duration_s': 2, - 'period_ms': 10, + 'period_ms': WORKLOAD_PERIOD_MS, }, 'tasks' : 2, 'prefix' : 'many', @@ -429,7 +438,7 @@ class RampUp(_EnergyModelTest): "r5_10-60" : { "kind" : "Ramp", "params" : { - "period_ms" : 16, + 'period_ms': WORKLOAD_PERIOD_MS, "start_pct" : 5, "end_pct" : 70, "delta_pct" : 5, @@ -452,6 +461,14 @@ class RampDown(_EnergyModelTest): """ Test EAS for a task ramping from 70% down to 5% over 2 seconds """ + + # The main purpose of this test is to ensure that as it reduces in load, a + # task is migrated from big to LITTLE CPUs on a big.LITTLE system. + # This migration naturally happens some time _after_ it could possibly be + # done, since there must be some hysteresis to avoid a performance cost. + # Therefore allow a larger energy usage threshold + energy_est_threshold_pct = 15 + workloads = { "ramp_down" : { "type": "rt-app", @@ -461,7 +478,7 @@ class RampDown(_EnergyModelTest): "r5_10-60" : { "kind" : "Ramp", "params" : { - "period_ms" : 16, + 'period_ms': WORKLOAD_PERIOD_MS, "start_pct" : 70, "end_pct" : 5, "delta_pct" : 5, @@ -493,6 +510,7 @@ class EnergyModelWakeMigration(_EnergyModelTest): 'wmig' : { 'kind' : 'Step', 'params' : { + "period_ms" : WORKLOAD_PERIOD_MS, 'start_pct': 10, 'end_pct': 50, 'time_s': 2, |