def plot_line_graph(title, xlabel, ylabel, llabel,
apps, xlabel_range, llabel_range,
value_n, outfile_n, dump_file_format,
graph_type):
print "plotting {0}".format(title)
datafile_n = "{0}.dat".format(outfile_n)
perf_n = "{0}.perf".format(outfile_n)
datafile = open(datafile_n, 'w')
seq_time = {};
for x in xlabel_range:
datafile.write("{0}".format(x))
for app in apps:
for l in llabel_range:
total_time = 0;
try:
dumpfile_n = dump_file_format.replace("#app#", app)
dumpfile_n = dumpfile_n.replace("#xlabel#", x)
dumpfile_n = dumpfile_n.replace("#llabel#", l)
dumpfile_n = "{0}.txt".format(dumpfile_n)
dumpfile = open(dumpfile_n)
total_time = mean.parse_file(dumpfile, value_n, '')
#write value to cvs file
if(x == '1'):
seq_time[app] = total_time
except IOError:
total_time = 0
if(graph_type == 'speedup'):
total_time = calc_speedup(seq_time[app], total_time)
elif(graph_type == 'relative_slowdown'):
total_time = calc_relative_slowdown(seq_time[app], total_time, float(x))
datafile.write(" {0}".format(total_time))
datafile.write("\n")
datafile.close();
#create gnuplot script
perf=open(perf_n, 'w');
perf.write('set title "{0}"\n'.format(title))
perf.write('set xlabel "{0}"\n'.format(xlabel))
perf.write('set ylabel "execution time (ms)"\n')
perf.write('set yrange[0:]\n')
perf.write('set term postscript eps color font 12\n')
perf.write('set output "{0}.eps"\n'.format(os.path.splitext(datafile_n)[0]))
perf.write('plot ')
col=2;
is_first_entry = True
for app in apps:
for l in llabel_range:
if(valid_line(open(datafile_n, 'r'), col-1) == True):
if(col != 2 and not is_first_entry):
perf.write(", \\\n")
perf.write('"{0}" using 1:{1} w linespoints'.format(datafile_n, col)+' title "{0}, {1}={2}"'.format(app, llabel, l))
is_first_entry = False;
col+=1
perf.write("\n")
print CSI+"31;40m" + bold + "gnuplot " + perf_n + CSI + "0m"
os.system("gnuplot "+perf_n)
def plot_bar_graph( title, clusters, stacks, breakdowns,
xlabel, ylabel,
outfile_n, dump_file_format, graph_type):
print "plotting {0}".format(title)
perf_n = '{}.perf'.format(outfile_n)
outfile_n = '{0}.eps'.format(os.path.splitext(perf_n)[0])
perf=open(perf_n, 'w');
if(graph_type == 'stackcluster' or graph_type == 'stacked'):
perf.write('={0};'.format(graph_type))
for b in breakdowns:
perf.write('{0};'.format(b))
elif(graph_type == 'cluster'):
perf.write('={0};'.format(graph_type))
for s in stacks:
perf.write('{0};'.format(s))
else:
perf.write('=color_per_datum')
perf.write('\n')
perf.write('=noupperright\n')
perf.write('legendx=right\n')
perf.write('legendy=center\n')
perf.write('title={0}\n'.format(title))
perf.write('yformat=%g\n')
perf.write('xlabel={0}\n'.format(xlabel))
perf.write('ylabel={0}\n'.format(ylabel))
# perf.write('rotateby=45.0\n')
# perf.write('xticshift=-4,-3\n')
# pref.write('=norotate')
perf.write('=table\n')
if(graph_type == 'stackcluster'):
for cluster in clusters:
perf.write('multimulti={0}\n'.format(cluster))
stack_i = 0;
for stack in stacks:
perf.write('{0}'.format(stack))
for bar_name in breakdowns:
value_v = [];
total_time = 0;
for value_n in breakdowns[bar_name]:
try:
dumpfile_n = dump_file_format.replace("#cluster#", cluster)
dumpfile_n = dumpfile_n.replace("#stack#", stack)
#get value
#print dumpfile_n
dumpfile = open(dumpfile_n)
#write value to cvs file
prefix = value_n.partition('-')[1]
if(prefix == '-'):
value_n = value_n.partition('-')[2]
tmp = mean.parse_file(dumpfile, value_n, stack)
total_time -= tmp
else:
total_time += mean.parse_file(dumpfile, value_n, stack)
except IOError:
total_time += 0
perf.write('\t{0}'.format(total_time))
perf.write('\n')
if(stacks[0] == 'master'): #cheat
stack_i += 1;
elif(graph_type == 'cluster'):
for cluster in clusters:
perf.write('{0}'.format(cluster))
stack_i = 0;
for stack in stacks:
value_n = breakdowns[0]
value_v = [];
total_time = 0;
try:
dumpfile_n = dump_file_format.replace("#cluster#", cluster)
dumpfile_n = dumpfile_n.replace("#stack#", stack)
#get value
dumpfile = open(dumpfile_n)
#write value to cvs file
total_time = mean.parse_file(dumpfile, value_n, 'MASTER')
except IOError:
total_time = 0
perf.write('\t{0}'.format(total_time))
if(stacks[0] == 'master'): #cheat
stack_i += 1;
perf.write('\n')
else:
for cluster in clusters:
perf.write('{0}'.format(cluster))
stack_i = 0;
for stack in stacks:
value_n = breakdowns[0]
value_v = [];
total_time = 0;
try:
dumpfile_n = dump_file_format.replace("#cluster#", cluster)
dumpfile_n = dumpfile_n.replace("#stack#", stack)
#get value
dumpfile = open(dumpfile_n)
#write value to cvs file
total_time = mean.parse_file(dumpfile, value_n, 'MASTER')
except IOError:
total_time = 0
perf.write('\t{0}'.format(total_time))
if(stacks[0] == 'master'): #cheat
stack_i += 1;
perf.write('\n')
print CSI+"31;40m" + bold + "bargraph.pl {0} > {1}".format(perf_n, outfile_n) + CSI + "0m"
