support CPMD plottingwip-bbb

1 files changed, 91 insertions, 0 deletions

diff --git a/dplot.py b/dplot.py
index ec37761..d0107b2 100755
--- a/dplot.py
+++ b/dplot.py
@@ -46,8 +46,12 @@ options = [
     o('-m', '--max-tardiness', action='store_true', dest='max_tard',
       help='plot maximum and not average tardiness'),
 
+    o(None, '--metric', action='store', dest='metric',
+      help='which metric to use for CPMD plot', choices=['avg', 'max', 'std']),
+
     o(None, '--slides', action='store_true', dest='slides'),
     o(None, '--smooth', action='store_true', dest='smooth'),
+    o(None, '--zoom', action='store_true', dest='zoom'),
    ]
 
 defaults = {
@@ -59,6 +63,7 @@ defaults = {
     'slides' : False,
     'smooth' : False,
     'lines'  : True,
+    'zoom'   : False,
 
     'schedulers' : None,
     'pd2_only' :  False,
@@ -66,6 +71,7 @@ defaults = {
     'ed_only'  :  False,
 
     'max_tard' : False,
+    'metric'   : 'avg',
 
     'cpmd'     : None,
 
@@ -446,6 +452,90 @@ class DissPlotter(defapp.App):
         self.render(p)
 
 
+    def plot_cpmd(self, datafile, name, conf):
+
+        # index avg, std, max
+        L1  = [32, 33, 34]
+        L2  = [35, 36, 37]
+        L3  = [38, 39, 40]
+        MEM = [41, 42, 43]
+
+        NAMES = ["preemption", "L2 migration", "L3 migration", "memory migration" ]
+        INDICES = [L1, L2, L3, MEM]
+
+        tmpfile = self.prepare(name, datafile)
+
+        p = self.make_plot(name)
+
+        if self.options.metric == 'max':
+            col = 2
+            tag    = 'maximum observed delay'
+        elif self.options.metric == 'avg':
+            col = 0
+            tag    = 'average observed delay'
+        elif self.options.metric == 'std':
+            col = 1
+            tag    = 'standard deviation of observed delays'
+        else:
+            assert False # what metric?
+
+        for (name, index) in zip(NAMES, INDICES):
+            p.curves += [curve(fname=tmpfile,
+                               xcol=1, ycol=index[col],
+                               title=name)]
+
+        perc = int((1.0 / int(conf['wcycle'])) * 100)
+
+        if conf['bg'] == 'idle':
+            bg = 'no background workload (idle CPMD)'
+        else:
+            bg = 'with cache polluters (load CPMD)'
+
+        p.title  = "%s; %d%% writes; %s" % (tag, perc, bg)
+        p.xlabel = "working set size (in KB)"
+
+        if self.options.metric == 'std':
+            p.ylabel = "standard deviation of measurements"
+        else:
+            p.ylabel = "measured cache-related delay (in us)"
+
+        if self.options.zoom:
+            p.xticks = (0, 64)
+            p.xrange = (0, 1024)
+        else:
+            p.xticks = (0, 1024)
+            p.xrange = (0, 12288)
+
+        if self.options.metric in ['max'] and conf['bg'] == 'load':
+            if self.options.zoom:
+                p.yrange = (0,  5000)
+                p.yticks = (0,   500)
+            else:
+                p.yrange = (0, 40000)
+                p.yticks = (0,  5000)
+        elif self.options.metric in ['std'] and conf['bg'] == 'load':
+            if self.options.zoom:
+                p.yrange = (0,   1000)
+                p.yticks = (0,    100)
+            else:
+                p.yrange = (-150, 10000)
+                p.yticks = (0,  1000)
+        else:
+            if self.options.zoom:
+                p.yrange = (-50,  1000)
+                p.yticks = (0,     100)
+            else:
+                p.yrange = (-150,  3000)
+                p.yticks = (0,      250)
+
+        self.diss_style(p)
+        if self.options.zoom or \
+                (conf['bg'] == 'load' and self.options.metric in ['max', 'std']):
+            p.key = 'top left'
+
+        self.render(p)
+
+
     def plot_file(self, datafile):
         bname     = basename(datafile)
         name, ext = splitext(bname)
@@ -455,6 +545,7 @@ class DissPlotter(defapp.App):
             'sched'    : self.plot_sched,
             'rel-tard' : self.plot_tardiness,
             'abs-tard' : self.plot_tardiness,
+            'cpmd'     : self.plot_cpmd,
             }
 
         for plot_type in plotters: