def parse(title, element, filename=''):
what = ''
d = SkData()
i = 0
for line in fileinput.input(filename):
elements = line.rstrip().split(';')
if i>1:
d.add_v(elements[element])
else:
what += elements[element] + ' '
i += 1
print 'processed', i, 'values'
d.output()
SkPlot.plot_header('memory utilization %s [%s]' % (what, title), \
'time', 'bandwidth [MB/s]')
print 'writing', '/tmp/plot-%s.png' % title
SkPlot.finalize('/tmp/plot-%s.png' % title)
def parse(conf):
# Generate file name for this measurement
filename = BASE + 'pcm-numa-trace-' + conf + '.cvs'
d = SkData()
i = 0
# Parse result file
# --------------------------------------------------
print 'Parsing file', filename
for line in fileinput.input(filename):
elements = line.rstrip().split(',')
if re.match('^[0-9]', line):
idx = int(elements[0])
if not idx in data:
data[idx] = []
data[idx].append([elements[1], elements[2], elements[3],
elements[4], elements[5]])
i += 1
print ' .. processed', i, 'lines'
# Plot for the following cores
# --------------------------------------------------
# Create plots
for (idx, title, limit) in [(0, 'IPC', None),
(3, 'local', 15000000),
(4, 'remote', 15000000)]:
print ' .. creating plot for', title
# One line per each of these cores
for core in [0, 8, 16, 24]:
print ' .. processing core %d' % core
i = 0
dbuffer = SkData()
dbuffer.set_plot_label('core %d' % core)
for value in data[core]:
dbuffer.add_v(value[idx])
i += 1
print ' .. ploting %d elements' % i
if limit:
plt.ylim(ymax=limit)
dbuffer.output()
outname = '/tmp/plot-%s-%s.png' % (conf, title)
print ' .. rendering plot to %s ' % outname
# Generate
SkPlot.plot_header('PCM NUMA %s %s' % (conf, title), 'time', '')
SkPlot.finalize(outname)
SkPlot.reset()
print ' .. done'