def addWeakScaling(axis, algorithm, optimistic, size, graphtype='SOFTWARE', hostnamelike='e%',colorindex=0,markertype='D-',linelabel='nolabel'):
fixedwhere = "enable_analysis=0 AND debug=0 AND verbose=0 AND processors>=number_of_threads AND algorithm='{0}' AND optimistic={1} AND graph_type='{2}' AND hostname LIKE '{3}' AND graph_num_nodes={4}*number_of_threads".format(algorithm,optimistic,graphtype,hostnamelike,size)
numthreads = helper.getData('number_of_threads', fixedwhere + ' GROUP BY number_of_threads')
# print(numthreads)
avgtimings = []
if (np.size(numthreads)==0):
return
for nt in numthreads.flat:
# print "NUMTHREADS = ", nt
where = fixedwhere + ' AND number_of_threads={0}'.format(nt)
timings = helper.getData('total_time',where)
# Compute mean and stddev of first timing
if(len(avgtimings)==0):
mean, q25, q75 = helper.median_and_quantiles(data=timings)
print algorithm, " : ", mean, " , [", q25 , ",", q75, "]"
avgtimings.append(np.mean(timings))
speedups = avgtimings[0]/timings
violin_parts = axis.violinplot(speedups,[nt],widths=0.8)
for pc in violin_parts['bodies']:
pc.set_color(helper.getFGcolor(colorindex))
speedup = avgtimings[0]/avgtimings
axis.plot(numthreads,speedup,markertype,markersize=6,linewidth=1,color=helper.getFGcolor(colorindex),label=linelabel) # connecting dots
def addAbsTiming(axis,
algorithm,
optimistic,
size,
graphtype='SOFTWARE',
hostnamelike='e%',
colorindex=0,
markertype='D-',
linelabel='nolabel',
additionalwhere=''):
fixedwhere = "enable_analysis=0 AND debug=0 AND verbose=0 AND processors>=number_of_threads AND algorithm='{0}' AND optimistic={1} AND graph_type='{2}' AND hostname LIKE '{3}' AND graph_num_nodes={4} {5}".format(
algorithm, optimistic, graphtype, hostnamelike, size, additionalwhere)
numthreads = helper.getData('number_of_threads',
fixedwhere + ' GROUP BY number_of_threads')
avgtimings = []
if (np.size(numthreads) == 0):
return
for nt in numthreads.flat:
# print "NUMTHREADS = ", nt
where = fixedwhere + ' AND number_of_threads={0}'.format(nt)
timings = helper.getData('total_time', where)
# Compute mean and stddev of first timing
if (len(avgtimings) == 0):
mean, q25, q75 = helper.median_and_quantiles(data=timings)
print algorithm, " : ", mean, " , [", q25, ",", q75, "]"
violin_parts = axis.violinplot(timings, [nt], widths=0.8)
for pc in violin_parts['bodies']:
pc.set_color(helper.getFGcolor(colorindex))
avgtimings.append(np.mean(timings))
axis.plot(numthreads,
avgtimings[0] / numthreads,
'--',
color=helper.getBGcolor(colorindex)) # ideal scaling
axis.plot(numthreads,
avgtimings,
markertype,
markersize=6,
linewidth=1,
color=helper.getFGcolor(colorindex),
label=linelabel) # connecting dots
ax = fig.add_subplot(111,aspect=1) ax.set_xlim([0,0.1+ncolors*(s+0.1)]) ax.set_ylim([0,2*s+0.3]) ax.get_xaxis().set_visible(False) ax.get_yaxis().set_visible(False) for i in range(0,ncolors): # Foreground Colors ax.add_patch( patches.Rectangle( (0.1+i*(0.1+s),0.1), # (x,y) s, # width s, # height facecolor=helper.getFGcolor(i) ) ) # Background Colors ax.add_patch( patches.Rectangle( (0.1+i*(0.1+s),s+0.2), # (x,y) s, # width s, # height facecolor=helper.getBGcolor(i) ) ) plt.show()