makePlots Namespace Reference

Classes
class	TimingInfo

Functions
def	instancesVsTime (filename)
def	prepareTimingPlots

Function Documentation

def makePlots.instancesVsTime

(

filename

)

Definition at line 6 of file makePlots.py.

def instancesVsTime(filename):
  logfile = open(filename)
  nOfInstances = {}
  runtime      = {}
  # extract all info
  for line in logfile.readlines():
      if "I ran" in line:
          name = line.split("SUCCESS")[0]
          runtime[name] = float(line.split("runtime of")[1] )
          if name in nOfInstances: number = nOfInstances[name]
          else: number =0
          nOfInstances[name] = number+1
  # now sort it 
  x = []
  y = []
  for name in runtime:
      x.append( runtime[name] )
      y.append( nOfInstances[name] )
  fig = plt.figure()
  ax = fig.add_subplot(111)
  yo = ax.scatter(x,y)
  ax.grid(True)
  plt.xlabel("Runtime (s)")
  plt.ylabel("# instances")
  plt.title("Requested algorithm instances with 10 events and 10 threads in parallel.")
  plt.savefig("test.pdf")

def makePlots.prepareTimingPlots	(		config = "BrunelScenario",
			path = "../options"
	)

Definition at line 43 of file makePlots.py.

def prepareTimingPlots(config="BrunelScenario", path = "../options"):

  # first read all the timings
  timings = []
  for filename in os.listdir(path):
    if filename.startswith(config) and filename.endswith("time"):
      ff = open( os.path.join(path,filename) )
      time = ff.read().rstrip("\n")
      timing = TimingInfo(filename,time)
      timings.append(timing)
  # now prepare the various plots:
  #  o parallel algos vs. time (for fixed parallel events)
  fig = plt.figure()
  ax = fig.add_subplot(111)
  times = []
  algos = []
  for timing in timings:
    if timing.events == 1:
      times.append(timing.time)
      algos.append(timing.algos)
  ax.plot(algos, times)
  plt.xlabel("Max algos in parallel")
  plt.ylabel("runtime (s)")
  plt.title("Brunel / CPUCruncher profiling.")
        
  plt.savefig("timing.pdf")