def main():
# Init
# ------------------------------
for k in KEYS:
values[k] = []
# Parse
# ------------------------------
for line in fileinput.input('-'):
print line.rstrip()
for s in KEYS:
search = ('^%s:\s+([0-9\.]+)' % s)
m = re.match(search, line)
if m:
values[s].append(float(m.group(1)))
# Calculate
# ------------------------------
print values
for (key, vals) in values.items():
print '[%20s] has %3d entries' % (key, len(vals)),
if len(vals)>0:
(m, stderr, median, vmin, vmax) = tools.statistics(vals)
print '%10.3f %10.3f' % (m, stderr)
def get_receive_send_ratio(self):
"""Get ratio of receive and send costs
"""
import tools
cmax = self.get_num_cores()
sends = []
recvs = []
for s in range(cmax):
for r in range(cmax):
sends.append(self.query_send_cost(s, r))
recvs.append(self.get_receive_cost(s, r))
(s_avg, _, _, s_min, s_max) = tools.statistics(sends)
(r_avg, _, _, r_min, r_max) = tools.statistics(recvs)
return s_avg/r_avg, s_max/r_max, s_min/r_min
def main():
parser = argparse.ArgumentParser(description='Parse PAPI result files')
parser.add_argument('fname', nargs='+')
args = parser.parse_args()
output = {}
for fname in args.fname:
# Init
# ------------------------------
for k in KEYS:
timer_values[k] = []
print 'FILE', fname
parse_papi_file(fname);
output[fname] = {}
# Calculate
# ------------------------------
print timer_values
for (key, vals) in timer_values.items():
print '[%20s] has %3d entries' % (key, len(vals)),
if len(vals)>0:
(m, stderr, median, vmin, vmax) = tools.statistics(vals)
print '%10.3f %10.3f' % (m, stderr)
output[fname][key] = (m, stderr)
# Output statistics
print '| file',
for l in [ 'comp', 'total', 'copy' ]:
print '|', l, 'stderr',
print '|'
print '|-'
for (fname, values) in output.items():
print '| %20s ' % fname,
for l in [ 'comp', 'total', 'copy' ]:
(m, stderr) = values[l]
print ('| %10.3f | %10.3f ' % (m, stderr)),
print '|'
print '|-'
def main():
parser = argparse.ArgumentParser(description="Parse PAPI result files")
parser.add_argument("fname", nargs="+")
args = parser.parse_args()
for fname in args.fname:
print "Parsing file", fname
parse_papi_file(fname)
print "--------------------------------------------------"
print values
print "--------------------------------------------------"
# conf = [ c for (c,d) in values.items()[0][1].items() ]
conf = [None, "-d", "-d -r", "-d -r -p", "-d -r -p -h"]
events = set(eventlist)
replace = {"triangle_counting": "tc", "pagerank": "pr", "hop_dist": "hd"}
PRINTSTDERR = False
for event in events:
print event
print
print "| |",
for c in conf:
print "{0:10s}".format(c), "|",
if PRINTSTDERR:
print "stderr ", "|",
print
print "|-"
for (program, data) in values.items():
print "|", replace[program], "|",
for c in conf:
for (e, t) in data[c].items():
if e == event:
(mean, stderr, _, _, _) = tools.statistics([e / 10000.0 for e in t])
print "{0:10.2f} |".format(mean),
if PRINTSTDERR:
print "{0:10.2f} |".format(stderr),
print
print
def main():
parser = argparse.ArgumentParser(description='Parse measurement file')
parser.add_argument('fname', nargs='+')
args = parser.parse_args()
for fname in args.fname:
parse_measurement_file(fname);
print values
confs = [ None, '-d', '-d -r', '-d -r -p', '-d -r -p -h', '-d -r -h', '-r -h', '-r', '-h' ]
confs_available = set()
# events = [ e for (e, _) in values.items()[0][1].items()[0][1]]
replace = {
'triangle_counting': 'tc',
'pagerank': 'pr',
'hop_dist': 'hd'
}
print 'OS:', ('Linux' if linux else 'Barrelfish')
programs = [ p for (p, d) in values.items() ]
print 'Programs are: ', programs
for (program, data) in values.items():
print 'Numbers for ', program
# Extracting cores and sort
cores = sorted([ c for (c, d) in data.items() ])
for core in cores:
datai = data[core]
print ('%-30s' % ('%d cores' % core)),
for measurement in MEASUREMENTS:
print ('%10s %10s' % (measurement, 'stderr')),
print ''
# Check all configurations from log file
for (conf, _) in datai.items():
print 'Found configuration', conf
confs_available.add(conf)
assert conf in confs
print 'Following configurations are available', str(confs_available)
for conf in confs_available:
print ('%-30s' % (conf)),
for measurement in MEASUREMENTS:
mean = -1
stderr = 0
if conf in datai:
dataii = datai[conf]
(dmean, dstderr, dmin, dmax, dmedian) = \
statistics([ s for (x,s) in dataii if x == measurement ])
mean = dmean
stderr = dstderr
print ('%10.3f %10.3f' % (mean, stderr)),
print ''
#folder=main_folder+'20_03_16_K4/'
folder = main_folder + '20_04_20_Q4/'
if __name__ == "__main__":
files = [
folder + 'exports_np/' +
# 'raw_{:02.0f}_1'.format(f) for f in [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]
# 'raw_{:02.0f}_1'.format(f) for f in [4, 5, 6, 7, 8, 9, 10, 18, 21]
# 'raw_{:02.0f}_1'.format(f) for f in [3, 4, 5, 6, 7, 8]
'raw_{:02.0f}_1'.format(f) for f in [2, 17, 15]
]
print('\tx \ty \tcon \tI_np \tI_np px\tI_bg px\tstd')
for file in files:
info = readinfo(file)
info_stat = statistics(info)
print(
'{}\t{:.02f}\t{:.02f}\t{:.02f}\t{:.02f}\t{:.02f}\t{:.05f}\t{:.05f}'
.format(file[-4:-2], *info_stat[0]))
print(
'n= {}\t{:.02f}\t{:.02f}\t{:.02f}\t{:.02f}\t{:.02f}\t{:.05f}\t{:.05f}'
.format(info_stat[2], *info_stat[1]))
print(
'------------------------------------------------------------------'
)
data = np.matrix(info)
fig, ax = plt.subplots()
n, bins, patches = ax.hist(data[:, 2], 10)