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main_timing.py
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main_timing.py
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#########################################################################
#$Id: bld.py 28 2021-01-21 15:10:31Z whuang $
#$Revision: 28 $
#$HeadURL: file:///Users/whuang/.wei_svn_repository/trunk/jedi-build-tools/bld.py $
#$Date: 2021-01-21 08:10:31 -0700 (Thu, 21 Jan 2021) $
#$Author: whuang $
#########################################################################
import getopt
import os, sys
import subprocess
import time
import datetime
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
def cmdout(command):
result = run(command, stdout=PIPE, stderr=PIPE, universal_newlines=True, shell=True)
ostr = result.stdout
return ostr.strip()
""" Profiler """
class Profiler:
""" Constructor """
def __init__(self, debug=0, corelist=[], casename=None, output=0,
nodelist=[], workdir=None, linear=0):
""" Initialize class attributes """
self.debug = debug
self.workdir = workdir
self.corelist = corelist
self.nodelist = nodelist
self.casename = casename
self.output = output
self.linear = linear
self.shortest_time = 0.1
if(not os.path.exists(casename)):
#mode
#mode = 0o722
#os.makedirs(casename, mode)
os.makedirs(casename)
if(workdir is None):
print('workdir not defined. Exit.')
sys.exit(-1)
if(len(corelist) < 1):
print('corelist not defined. Exit.')
sys.exit(-1)
if(len(nodelist) < 1):
print('nodelist not defined. Exit.')
sys.exit(-1)
self.colorlist = ['red', 'green', 'cyan', 'blue', 'magenta',
'firebrick', 'lime', 'teal']
self.linestyle = ['solid', 'solid', 'solid', 'solid', 'solid',
'dashed', 'dashed', 'dashed']
self.function_list = ['Timers::Total',
'GETKFSolver::computeHofX',
'GETKFSolver::measurementUpdate',
'sum(oops::Increment)',
'sum(oops::State)',
'sum(oops::UnstructuredInterpolator)',
'sum(oops::Parameters)',
'sum(oops::Geometry']
self.fullfunction_list = ['util::Timers::Total',
'oops::GETKFSolver::computeHofX',
'oops::GETKFSolver::measurementUpdate',
'oops::Increment',
'oops::State',
'oops::UnstructuredInterpolator',
'oops::Parameters',
'oops::Geometry']
self.statstime = []
for i in range(len(self.fullfunction_list)):
tmax = {}
for n in range(len(self.nodelist)):
tmax[n] = 0.0
self.statstime.append(tmax)
def set_linear(self, linear=1):
self.linear = linear
def set_output(self, output=1):
self.output = output
def process(self):
for n in range(len(self.nodelist)):
rundir = '%s/%s/run_80.40t%dn_%dp' %(self.workdir, self.casename,
self.nodelist[n], self.corelist[n])
flnm = '%s/stdoutNerr/stdout.00000000' %(rundir)
if(self.debug):
print('Processing node: %d, as file: %s' %(self.nodelist[n], flnm))
if(os.path.exists(flnm)):
pass
else:
print('Filename ' + flnm + ' does not exit. Stop')
sys.exit(-1)
with open(flnm) as fp:
lines = fp.readlines()
#line = fp.readline()
num_lines = len(lines)
#print('Total number of lines: ', num_lines)
nl = 0
while(nl < num_lines):
if(lines[nl].find('Parallel Timing Statistics') > 0):
#if(self.debug):
# print('lines[%d]: %s' %(nl, lines[nl]))
self.parallel_time_stats(n, lines, nl)
break
nl += 1
def parallel_time_stats(self, n, lines, nl):
going = 1
ns = nl + 3
while(going):
line = lines[ns].strip()
ns += 1
if(line.find('Parallel Timing Statistics') > 0):
going = 0
break
#print('Line ' + str(ns) + ': ' + line)
item = line.split(': ')
#print(item)
nlist = item[0].strip().split(' ')
name = nlist[1]
tstr = item[1].strip()
while(tstr.find(' ') > 0):
tstr = tstr.replace(' ', ' ')
nlist = tstr.split(' ')
tmin = float(nlist[0])
tmax = float(nlist[1])
tavg = float(nlist[2])
self.updatestats(n, name, tmax)
def updatestats(self, n, name, tmax):
for i in range(len(self.fullfunction_list)):
if(name.find(self.fullfunction_list[i]) >= 0):
self.statstime[i][n] = tmax
return
def plot(self):
try:
plt.close('all')
plt.clf()
plt.cla()
except Exception:
pass
title = '%s Timing' %(self.casename)
nl = len(self.nodelist)
x = np.zeros((nl), dtype=float)
y = np.zeros((nl), dtype=float)
z = np.zeros((nl), dtype=float)
xlabels = []
for k in range(nl):
x[k] = self.nodelist[k]
lbl = '%d' %(self.nodelist[k])
xlabels.append(lbl)
pmin = 1.0/128.0
pmax = 256.0
ylabels = []
yp = []
pcur = pmin/2.0
while(pcur < pmax):
pcur *= 4.0
lbl = '%6.2f' %(pcur)
ylabels.append(lbl)
yp.append(pcur)
print('yp = ', yp)
fig = plt.figure()
ax = plt.subplot()
if(self.linear):
plt.xscale('linear')
else:
#plt.xscale('log', base=2)
#plt.yscale('log', base=10)
#plt.xscale('log', basex=2)
#plt.yscale('log', basey=2)
plt.xscale('log', base=2)
plt.yscale('log', base=2)
plt.xticks(x, xlabels)
#plt.xticks(x, xlabels, rotation ='vertical')
plt.yticks(yp, ylabels)
pmin = 1.0e20
pmax = 0.0
txtname = '%s/timing_main.csv' %(self.casename)
OPF = open(txtname, 'w')
header = '%40s' %('Function Name')
for k in range(nl):
header = '%s, %12d' %(header, self.nodelist[k])
OPF.write(header+'\n')
for i in range(len(self.function_list)):
print('self.function_list[%d] = %s' %(i, self.function_list[i]))
print('self.statstime[i] = ', self.statstime[i])
txtinfo = '%40s' %(self.function_list[i])
npnts = 0
for k in range(nl):
y[k] = 0.001*self.statstime[i][k]/60.0
if(pmin > y[k]):
pmin = y[k]
if(pmax < y[k]):
pmax = y[k]
txtinfo = '%s, %12.2f' %(txtinfo, y[k])
if(y[k] > self.shortest_time):
npnts += 1
OPF.write(txtinfo+'\n')
print('x = ', x[0:npnts])
print('y = ', y[0:npnts])
print('self.colorlist[%d] = %s' %(i, self.colorlist[i]))
print('self.linestyle[%d] = %s' %(i, self.linestyle[i]))
if(npnts > 1):
ax.plot(x[0:npnts], y[0:npnts], color=self.colorlist[i], linewidth=2,
linestyle=self.linestyle[i], alpha=0.9)
OPF.close()
if(self.linear == 0):
for i in range(len(self.fullfunction_list)):
npnts = 0
for k in range(nl):
fact = 1.0/np.log2(2*self.nodelist[k])
z[k] = 0.001*self.statstime[i][0]*fact/60.0
if(z[k] > self.shortest_time):
npnts += 1
#https://matplotlib.org/stable/gallery/lines_bars_and_markers/linestyles.html
if(npnts > 1):
ax.plot(x[0:npnts], z[0:npnts], color='black', linewidth=1, alpha=0.5, linestyle='dotted')
plt.grid()
#Same limits for everybody!
print('pmin: %f, pmax: %f' %(pmin, pmax))
#if(pmin < self.shortest_time):
# pmin = self.shortest_time
#if(pmax < 10000.0):
# pmax = 10000.0
pmin = 1.0/128.0
pmax = 256.0
plt.xlim(x[0], x[-1])
plt.ylim(pmin, pmax)
#general title
#title = '%s Timing (in minutes), min: %8.2f, max: %8.2f' %(self.casename, pmin, pmax)
title = 'main Timing of %s (in minutes)' %(self.casename)
#plt.suptitle(title, fontsize=13, fontweight=0, color='black', style='italic', y=1.02)
plt.suptitle(title, fontsize=16, fontweight=1, color='black')
#Create a big subplot
bs = fig.add_subplot(111, frameon=False)
#plt.subplots_adjust(bottom=0.2, right=0.70, top=0.8)
#plt.subplots_adjust(bottom=0.2, right=0.675, top=0.8)
plt.subplots_adjust(bottom=0.2, right=0.65, top=0.8)
#plt.subplots_adjust(bottom=0.2, right=0.5, top=0.8)
#hide tick and tick label of the big axes
plt.tick_params(labelcolor='none', top='off', bottom='off', left='off', right='off')
bs.set_xlabel('Node', labelpad=10) # Use argument `labelpad` to move label downwards.
bs.set_ylabel('Time (minutes)', labelpad=20)
#Create the legend
fig.legend(ax, labels=self.function_list,
loc="center right", # Position of legend
fontsize=6,
borderpad=1.2,
handlelength=1.5
)
# borderpad=1.2,
# labelspacing=1.2,
# handlelength=1.5
#Adjust the scaling factor to fit your legend text completely outside the plot
#(smaller value results in more space being made for the legend)
if(self.linear):
imgname = '%s/lin_timing_main.png' %(self.casename)
else:
imgname = '%s/log_timing_main.png' %(self.casename)
if(self.output):
plt.savefig(imgname)
else:
plt.show()
#--------------------------------------------------------------------------------
if __name__== '__main__':
debug = 1
casename = 'sondes'
workdir = '/work2/noaa/gsienkf/weihuang/jedi/case_study'
#workdir = '/scratch2/BMC/gsienkf/Wei.Huang/tools/vis_tools'
corelist = [36, 78, 156, 312]
#corelist = [36, 72, 144, 288]
nodelist = [1, 2, 4, 8]
output = 0
linear = 1
opts, args = getopt.getopt(sys.argv[1:], '', ['debug=', 'workdir=',
'corelist=', 'nodelist=', 'casename='])
for o, a in opts:
if o in ('--debug'):
debug = int(a)
elif o in ('--workdir'):
workdir = a
elif o in ('--corelist'):
corelist = a
elif o in ('--nodelist'):
nodelist = a
elif o in ('--casename'):
casename = a
elif o in ('--output'):
output = a
elif o in ('--linear'):
linear = int(a)
else:
assert False, 'unhandled option'
pr = Profiler(debug=debug, corelist=corelist, nodelist=nodelist, output=output,
workdir=workdir, casename=casename, linear=linear)
pr.process()
for linear in [1, 0]:
pr.set_linear(linear=linear)
#for output in [0, 1]:
for output in [1]:
pr.set_output(output=output)
pr.plot()