def calc_plot_stats(PREDICTOR, CLASS, TEST, OUTPUT_DIR, DATE, CYCLE_START,
CYCLE_END):
HOME = os.environ['HOME']
path = HOME + '/' + OUTPUT_DIR + '/gem5_out/' + CLASS + '_' + PREDICTOR + '/' + TEST + '.txt'
stats = open(path, 'r')
harvard = util.Harvard(TABLE_HEIGHT=128,
SIGNATURE_LENGTH=64,
HYSTERESIS=0.005,
EMERGENCY_V=1.358,
LEAD_TIME=20)
cycle_dump = util.Cycle_Dump(stats)
supply_curr = [0]
supply_volt = [0]
VE = [False]
while True:
cycle_dump.reset()
EOF = cycle_dump.parseCycle()
harvard.tick(cycle_dump)
if EOF:
break
supply_curr.append(None)
supply_curr.append(cycle_dump.supply_curr)
supply_curr[-2] = (supply_curr[-1] + supply_curr[-3]) / 2
supply_volt.append(None)
supply_volt.append(cycle_dump.supply_volt)
supply_volt[-2] = (supply_volt[-1] + supply_volt[-3]) / 2
VE.append(False)
VE.append(harvard.VEflag)
# if cycle_dump.cycle % 1000 < 3:
# print (cycle_dump.cycle)
if cycle_dump.cycle > CYCLE_END:
break
# if cycle_dump.cycle > CYCLE_START:
# cycle_dump.dump()
# harvard.print()
# input()
# if (harvard.VEflag or harvard.Actionflag) and cycle_dump.cycle > CYCLE_START:
# cycle_dump.dump()
# harvard.print()
# input()
#print how many events
for k, v in cycle_dump.event_count.items():
print(util.event_map[k], ": ", v)
np.save('plot/data/ideal_curr' + DATE + '_supply_curr_' + TEST,
np.array(supply_curr))
np.save('plot/data/ideal_curr' + DATE + '_supply_volt_' + TEST,
np.array(supply_volt))
np.save('plot/data/ideal_curr' + DATE + '_VE_' + TEST, np.array(VE))
def calc_plot_stats(PREDICTOR, CLASS, TEST, OUTPUT_DIR, DATE, INSTRUCTIONS,
PDN):
HOME = os.environ['HOME']
test_name = TEST + '_' + INSTRUCTIONS + '_' + '1' + '_' + CLASS + '_' + PDN + '_' + PREDICTOR
path = HOME + '/' + OUTPUT_DIR + '/gem5_out/' + test_name + '/stats.txt'
print(path)
stats = open(path, 'r')
cycle_dump = util.Cycle_Dump(stats)
while (cycle_dump.parseCycle()):
cycle_dump.dump()
input()
import numpy as np
import util
from enum import Enum
#PARAMETERS
HOME = os.environ['HOME']
PREDICTOR = 'HarvardPowerPredictor_1'
CLASS = 'DESKTOP'
TEST = 'same_cycle'
path = HOME + '/output_11_18/gem5_out/' + CLASS + '_' + PREDICTOR + '/' + TEST + '.txt'
stats = open(path, 'r')
#PARAMETERS
CYCLE_START = 25000
SIGNATURE_LENGTH = 512
cycle_dump = util.Cycle_Dump(stats)
action = [False]
VE = [False]
while True:
cycle_dump.reset()
EOF = cycle_dump.parseCycle()
harvard.tick(cycle_dump)
if EOF:
break
if cycle_dump.cycle % 1000 < 3:
print(cycle_dump.cycle)
VE.append(False)
VE.append(harvard.VEflag)