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error calculation function, fixed energy units

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This commit is contained in:
Madeleine Masser-Frye 2022-06-17 19:36:32 +00:00
parent 12b76e4fe2
commit a89e689520
2 changed files with 158 additions and 131 deletions
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167
synthDC/ppaAnalyze.py
View File

@ -41,7 +41,7 @@ def synthsintocsv():
file = open("ppaData.csv", "w")
writer = csv.writer(file)
writer.writerow(['Module', 'Tech', 'Width', 'Target Freq', 'Delay', 'Area', 'L Power (nW)', 'D energy (fJ)'])
writer.writerow(['Module', 'Tech', 'Width', 'Target Freq', 'Delay', 'Area', 'L Power (nW)', 'D energy (nJ)'])
for oneSynth in allSynths:
module, width, risc, tech, freq = specReg.findall(oneSynth)[2:7]
@ -60,7 +60,7 @@ def synthsintocsv():
delay = 1000/int(freq) - metrics[0]
area = metrics[1]
lpower = metrics[4]
denergy = (metrics[2] + metrics[3])/int(freq) # (switching + internal powers)*delay, more practical units for regression coefs
denergy = (metrics[2] + metrics[3])/int(freq)*1000 # (switching + internal powers)*delay, more practical units for regression coefs
if ('flop' in module): # since two flops in each module
[area, lpower, denergy] = [n/2 for n in [area, lpower, denergy]]
@ -85,7 +85,7 @@ def cleanup():
output = subprocess.check_output(['bash','-c', bashCommand])
allSynths = output.decode("utf-8").split('\n')[:-1]
for oneSynth in allSynths:
for phrase in [['Path Length', 'qor']]: #, ['Design Area', 'qor'], ['100', 'power']]:
for phrase in [['Path Length', 'qor']]:
bashCommand = 'grep "{}" '+ oneSynth[2:]+'/reports/*{}*'
bashCommand = bashCommand.format(*phrase)
try: output = subprocess.check_output(['bash','-c', bashCommand])
@ -131,54 +131,18 @@ def csvOfBest(filename):
for w in widths:
m = np.Inf # large number to start
best = None
if ([mod, tech, w] in leftblue):
for oneSynth in allSynths: # leftmost blue
if (oneSynth.width == w) & (oneSynth.tech == tech) & (oneSynth.module == mod):
if (oneSynth.freq < m) & (1000/oneSynth.delay < oneSynth.freq):
# if ([mod, tech, w] != ['mux2', 'sky90', 128]) or (oneSynth.area < 1100):
m = oneSynth.freq
best = oneSynth
else:
for oneSynth in allSynths: # best achievable, rightmost green
if (oneSynth.width == w) & (oneSynth.tech == tech) & (oneSynth.module == mod):
if (oneSynth.delay < m) & (1000/oneSynth.delay > oneSynth.freq):
m = oneSynth.delay
best = oneSynth
# contenders = []
# delays = []
# for oneSynth in allSynths: # choose synth w minimal delay
# if (oneSynth.width == w) & (oneSynth.tech == tech) & (oneSynth.module == mod):
# contenders += [oneSynth]
# delays += [oneSynth.delay]
# if oneSynth.delay < m:
# m = oneSynth.delay
# best = oneSynth
# for oneSynth in contenders: # if m is min delay, choose best area within s as percent of m
# s = oneSynth.delay/m - 1
# if s < 0.1:
# if oneSynth.area < best.area:
# best = oneSynth
# bestval = 1.9 # score algorithm
# for oneSynth in contenders:
# delaydif = abs(1 - oneSynth.delay/best.delay)
# areadif = 1 - oneSynth.area/best.area
# try: val = areadif/delaydif
# except: val = 1
# # if (oneSynth.width == 64) & (oneSynth.tech == 'sky90') & (oneSynth.module == 'comparator'):
# # print(oneSynth.freq, ' ', delaydif, ' ', areadif, ' ', val)
# if val > bestval:
# bestval = val
# best = oneSynth
for oneSynth in allSynths: # best achievable, rightmost green
if (oneSynth.width == w) & (oneSynth.tech == tech) & (oneSynth.module == mod):
if (oneSynth.delay < m) & (1000/oneSynth.delay > oneSynth.freq):
m = oneSynth.delay
best = oneSynth
if (best != None) & (best not in bestSynths):
bestSynths += [best]
file = open(filename, "w")
writer = csv.writer(file)
writer.writerow(['Module', 'Tech', 'Width', 'Target Freq', 'Delay', 'Area', 'L Power (nW)', 'D energy (fJ)'])
writer.writerow(['Module', 'Tech', 'Width', 'Target Freq', 'Delay', 'Area', 'L Power (nW)', 'D energy (nJ)'])
for synth in bestSynths:
writer.writerow(list(synth))
file.close()
@ -265,7 +229,7 @@ def oneMetricPlot(module, var, freq=None, ax=None, fits='clsgn', norm=True, colo
if norm:
ylabeldic = {"lpower": "Leakage Power (add32)", "denergy": "Energy/Op (add32)", "area": "Area (add32)", "delay": "Delay (FO4)"}
else:
ylabeldic = {"lpower": "Leakage Power (nW)", "denergy": "Dynamic Energy (fJ)", "area": "Area (sq microns)", "delay": "Delay (ns)"}
ylabeldic = {"lpower": "Leakage Power (nW)", "denergy": "Dynamic Energy (nJ)", "area": "Area (sq microns)", "delay": "Delay (ns)"}
ax.set_ylabel(ylabeldic[var])
ax.set_xticks(widths)
@ -549,13 +513,12 @@ def squarify(fig):
l = (1.-axs/h)/2
fig.subplots_adjust(bottom=l, top=1-l)
def plotPPA(mod, freq=None, norm=True, aleOpt=False):
''' for the module specified, plots width vs delay, area, leakage power, and dynamic energy with fits
if no freq specified, uses the synthesis with best achievable delay for each width
overlays data from both techs
'''
plt.rcParams["figure.figsize"] = (7,3.6)
plt.rcParams["figure.figsize"] = (7,3.46)
fig, axs = plt.subplots(2, 2)
arr = [['delay', 'area'], ['lpower', 'denergy']]
@ -591,13 +554,7 @@ def plotPPA(mod, freq=None, norm=True, aleOpt=False):
plt.savefig(saveStr)
# plt.show()
def plotBestAreas(mod):
fig, axs = plt.subplots(1, 1)
oneMetricPlot(mod, 'area', freq=10)
plt.title(mod + ' Optimized Areas (target freq 10MHz)')
plt.savefig('./plots/bestAreas/' + mod + '.png')
def makeDaLegend():
def makeLineLegend():
plt.rcParams["figure.figsize"] = (5.5,0.3)
fig = plt.figure()
fullLeg = [lines.Line2D([0], [0], color='black', label='fastest', linestyle='-')]
@ -609,25 +566,6 @@ def makeDaLegend():
saveStr = './plots/PPA/legend.png'
plt.savefig(saveStr)
def calcAvgRsq():
with open('ppaFitting.csv', newline='') as csvfile:
csvreader = csv.reader(csvfile)
allSynths = list(csvreader)[1:]
csvfile.close()
others = []
muxes = []
for synth in allSynths:
if ('easy' not in synth) or ('delay' not in synth):
if 'mux' in synth[0]:
muxes += [float(synth[8])]
elif '0.0' != synth[8]:
others += [float(synth[8])]
print('Others: ', np.mean(others))
print('Muxes: ', np.mean(muxes))
def muxPlot(fits='clsgn', norm=True):
''' module: string module name
freq: int freq (MHz)
@ -660,6 +598,7 @@ def muxPlot(fits='clsgn', norm=True):
techdict = spec._asdict()
norm = techdict['delay']
metric = [m/norm for m in metric]
# print(spec.tech, ' ', metric)
if len(metric) == 3: # don't include the spec if we don't have points for all
xp, pred, coefs, r2 = regress(inputs, metric, fits, ale=False)
@ -679,23 +618,71 @@ def muxPlot(fits='clsgn', norm=True):
ax.legend(handles = fullLeg)
plt.savefig('./plots/PPA/mux.png')
def stdDevError():
for var in ['delay', 'area', 'lpower', 'denergy']:
errlist = []
for module in modules:
ale = (var != 'delay')
metL = []
modFit = fitDict[module]
fits = modFit[ale]
funcArr = genFuncs(fits)
for spec in techSpecs:
metric = getVals(spec.tech, module, var)
techdict = spec._asdict()
norm = techdict[var]
metL += [m/norm for m in metric]
if ale:
ws = [w/normAddWidth for w in widths]
else:
ws = widths
ws = ws*2
mat = []
for w in ws:
row = []
for func in funcArr:
row += [func(w)]
mat += [row]
y = np.array(metL, dtype=np.float)
coefs = opt.nnls(mat, y)[0]
yp = []
for w in ws:
n = [func(w) for func in funcArr]
yp += [sum(np.multiply(coefs, n))]
if (var == 'delay') & (module == 'flop'):
pass
elif (module == 'mult') & ale:
pass
else:
for i in range(len(y)):
errlist += [abs(y[i]/yp[i]-1)]
# print(module, ' ', var, ' ', np.mean(errlist[-10:]))
avgErr = np.mean(errlist)
stdv = np.std(errlist)
print(var, ' ', avgErr, ' ', stdv)
if __name__ == '__main__':
##############################
# set up stuff, global variables
widths = [8, 16, 32, 64, 128]
modules = ['priorityencoder', 'add', 'csa', 'shiftleft', 'comparator', 'flop', 'mux2', 'mux4', 'mux8', 'mult'] # 'mux2d', 'mux4d', 'mux8d']
modules = ['priorityencoder', 'add', 'csa', 'shiftleft', 'comparator', 'flop', 'mux2', 'mux4', 'mux8', 'mult'] #, 'mux2d', 'mux4d', 'mux8d']
normAddWidth = 32 # divisor to use with N since normalizing to add_32
fitDict = {'add': ['cg', 'l', 'l'], 'mult': ['cg', 'ls', 'ls'], 'comparator': ['cg', 'l', 'l'], 'csa': ['c', 'l', 'l'], 'shiftleft': ['cg', 'l', 'ln'], 'flop': ['c', 'l', 'l'], 'priorityencoder': ['cg', 'l', 'l']}
fitDict = {'add': ['cg', 'l', 'l'], 'mult': ['cg', 's', 's'], 'comparator': ['cg', 'l', 'l'], 'csa': ['c', 'l', 'l'], 'shiftleft': ['cg', 'l', 'ln'], 'flop': ['c', 'l', 'l'], 'priorityencoder': ['cg', 'l', 'l']}
fitDict.update(dict.fromkeys(['mux2', 'mux4', 'mux8'], ['cg', 'l', 'l']))
leftblue = [] #[['mux2', 'tsmc28', 8], ['mux4', 'sky90', 16]]
TechSpec = namedtuple("TechSpec", "tech color shape delay area lpower denergy")
techSpecs = [['sky90', 'green', 'o', 43.2e-3, 1330.84, 582.81, 520.66], ['tsmc28', 'blue', '^', 12.2e-3, 209.29, 1060, 81.43]]
techSpecs = [['sky90', 'green', 'o', 43.2e-3, 1440.600027, 714.057, 0.658022690438], ['tsmc28', 'blue', '^', 12.2e-3, 209.286002, 1060.0, .08153281695882594]]
techSpecs = [TechSpec(*t) for t in techSpecs]
combined = TechSpec('combined fit', 'red', '_', 0, 0, 0, 0)
# invz1arealeakage = [['sky90', 1.96, 1.98], ['gf32', .351, .3116], ['tsmc28', .252, 1.09]] #['gf32', 'purple', 's', 15e-3]
##############################
# cleanup() # run to remove garbage synth runs
@ -704,21 +691,21 @@ if __name__ == '__main__':
allSynths = synthsfromcsv('ppaData.csv') # your csv here!
bestSynths = csvOfBest('bestSynths.csv')
# ### plotting examples
# ### function examples
# squareAreaDelay('sky90', 'add', 32)
# oneMetricPlot('add', 'area')
# oneMetricPlot('mult', 'lpower')
# freqPlot('sky90', 'mux4', 16)
# plotBestAreas('add')
# makeCoefTable()
# calcAvgRsq()
# makeEqTable()
# makeDaLegend()
# makeLineLegend()
# muxPlot()
# stdDevError()
# for mod in modules:
# # plotPPA(mod, norm=False)
# # plotPPA(mod, aleOpt=True)
# for w in widths:
# freqPlot('sky90', mod, w)
# freqPlot('tsmc28', mod, w)
# plt.close('all')
for mod in modules:
plotPPA(mod, norm=False)
plotPPA(mod, aleOpt=True)
for w in widths:
freqPlot('sky90', mod, w)
freqPlot('tsmc28', mod, w)
plt.close('all')

122
synthDC/ppaFitting.csv
View File

@ -1,41 +1,81 @@
Module,Metric,1,N,N^2,log2(N),Nlog2(N),R^2
priorityencoder,delay,4.865032478368464,,,1.0346781590203091,,0.990533246983837
priorityencoder,area,,0.3296349181169891,,,,0.9718942704677337
priorityencoder,lpower,,0.2508481588069769,,,,0.9418329012771585
priorityencoder,denergy,,0.09327161156406552,,,,0.8065924672945542
add,delay,8.961254531683414,,,1.4310340215065527,,0.9564367595740637
add,area,,1.0710989265923485,,,,0.988580182173048
add,lpower,,0.9470245397661955,,,,0.9951383820581323
add,denergy,,0.9954952282287014,,,,0.9928308616130285
csa,delay,3.590384717869601,,,,,0.0
csa,area,,0.9312877569527923,,,,0.999393942859829
csa,lpower,,1.5320774877598933,,,,0.9400384192534433
csa,denergy,,1.1454135769936609,,,,0.9735205275004183
shiftleft,delay,8.66019468793489,,,1.6351711913499432,,0.9873681453602638
shiftleft,area,,1.9102134686740575,,,,0.9466461680123697
shiftleft,lpower,,2.277088275290811,,,,0.9624044038708768
shiftleft,denergy,,1.4931073444617051,,,,0.9454881696599784
comparator,delay,6.680678539086959,,,0.9397668550976327,,0.98789326603378
comparator,area,,0.6003877936704982,,,,0.9672416909621802
comparator,lpower,,0.46756802348373877,,,,0.8609362596824635
comparator,denergy,,0.3089180049610159,,,,0.8267293340232036
flop,delay,3.3270503187614153,,,,,0.0
flop,area,,0.34478305655859876,,,,0.9433629202566682
flop,lpower,,0.3707856336608904,,,,0.9170347531086821
flop,denergy,,0.0011765517257429892,,,,0.688648230209356
mux2,delay,4.732514086885074,,,0.38138175938205005,,0.5638177354804589
mux2,area,,0.19794547955000782,,,,0.9753613114571431
mux2,lpower,,0.1881638557015794,,,,0.7572248871637561
mux2,denergy,,0.16278100836605952,,,,0.9811112115671446
mux4,delay,5.67790744523475,,,0.5081925137582493,,0.8316415055210026
mux4,area,,0.35778033738856435,,,,0.9880049722019894
mux4,lpower,,0.32236674794207065,,,,0.8279138454959137
mux4,denergy,,0.28073375091037084,,,,0.9943662618662574
mux8,delay,7.252700330388384,,,0.45254210999717837,,0.8464368692304263
mux8,area,,0.7614128432326613,,,,0.9863118376555963
mux8,lpower,,0.6570734849206145,,,,0.9855956038468652
mux8,denergy,,0.4496346388149245,,,,0.9785597135426944
mult,delay,29.562138166420393,,,6.711916207386673,,0.9833266087176287
mult,area,,,13.838943348894976,,,0.9875861886135875
mult,lpower,,,14.380577146903335,,,0.9349609233308782
mult,denergy,,,36.51397409545879,,,0.9719012952478829
Module,Metric,Target,1,N,N^2,log2(N),Nlog2(N),R^2
priorityencoder,delay,easy,0.0,,,6.815655848737334,,0.5471505976585844
priorityencoder,area,easy,,0.14996313076366272,,,,0.9751246139683207
priorityencoder,lpower,easy,,0.04628232776780845,,,,0.6646449382421588
priorityencoder,denergy,easy,,0.00046338953826781273,,,,0.8843605490100168
priorityencoder,delay,hard,0.0,,,0.9775747670327015,,0.987274834491306
priorityencoder,area,hard,,0.3296349181169891,,,,0.9718942704677337
priorityencoder,lpower,hard,,0.2508481588069769,,,,0.9418329012771585
priorityencoder,denergy,hard,,0.09327161156406552,,,,0.8065924672945542
add,delay,easy,0.0,,,27.820556626526365,,0.5330240516496716
add,area,easy,,0.33740563909904386,,,,0.9968636684818916
add,lpower,easy,,0.1559461482654009,,,,0.7403794995975848
add,denergy,easy,,0.025219887569037786,,,,0.6462978476180771
add,delay,hard,1.8060844241506506,,,1.4310340215065525,,0.9564367595740637
add,area,hard,,1.0710989265923485,,,,0.988580182173048
add,lpower,hard,,0.9470245397661955,,,,0.9951383820581323
add,denergy,hard,,0.9954952282287014,,,,0.9928308616130285
csa,delay,easy,5.827386725865409,,,,,0.0
csa,area,easy,,0.3404841239399024,,,,0.9966821820865757
csa,lpower,easy,,0.1555300133584381,,,,0.7410756093594764
csa,denergy,easy,,0.0005478126632729184,,,,0.5798854696439455
csa,delay,hard,3.590384717869601,,,,,0.0
csa,area,hard,,0.9312877569527923,,,,0.9993939428598292
csa,lpower,hard,,1.5320774877598933,,,,0.9400384192534433
csa,denergy,hard,,1.1454135769936609,,,,0.9735205275004183
shiftleft,delay,easy,0.0,,,5.744537363106859,,0.7778961884907117
shiftleft,area,easy,,0.8000093911038876,,,,0.9576897492378456
shiftleft,lpower,easy,,0.28913702096331206,,,,0.623995386847899
shiftleft,denergy,easy,,0.005924456057944899,,,,0.7200057939838627
shiftleft,delay,hard,0.48433873118517795,,,1.635171191349943,,0.9873681453602638
shiftleft,area,hard,,1.9102134686740575,,,,0.9466461680123697
shiftleft,lpower,hard,,2.277088275290811,,,,0.9624044038708768
shiftleft,denergy,hard,,1.4931073444617051,,,,0.9454881696599784
comparator,delay,easy,0.0,,,4.706704191403,,0.5450694752498024
comparator,area,easy,,0.3425601443761704,,,,0.978537426983507
comparator,lpower,easy,,0.15525826941742596,,,,0.8078417286943447
comparator,denergy,easy,,0.0008896717814426517,,,,0.9267090446396561
comparator,delay,hard,1.9818442635987938,,,0.9397668550976329,,0.9878932660337799
comparator,area,hard,,0.6003877936704982,,,,0.9672416909621802
comparator,lpower,hard,,0.46756802348373877,,,,0.8609362596824635
comparator,denergy,hard,,0.3089180049610159,,,,0.8267293340232036
flop,delay,easy,3.3270503187614153,,,,,0.0
flop,area,easy,,0.34478305655859876,,,,0.9433629202566682
flop,lpower,easy,,0.3707856336608904,,,,0.9170347531086821
flop,denergy,easy,,0.0011765517257429892,,,,0.688648230209356
flop,delay,hard,3.3270503187614153,,,,,0.0
flop,area,hard,,0.34478305655859876,,,,0.9433629202566682
flop,lpower,hard,,0.3707856336608904,,,,0.9170347531086821
flop,denergy,hard,,0.0011765517257429892,,,,0.688648230209356
mux2,delay,easy,0.0,,,3.276654474184255,,0.7130397298335213
mux2,area,easy,,0.15083561354737726,,,,0.976644158286422
mux2,lpower,easy,,0.12067626255418841,,,,0.9344813545348312
mux2,denergy,easy,,0.0011206170933885473,,,,0.5565267433319017
mux2,delay,hard,2.539326242287272,,,0.4143154417811283,,0.550540330173853
mux2,area,hard,,0.2261714754439734,,,,0.9792793539936671
mux2,lpower,hard,,0.27830936017352714,,,,0.9042661125086188
mux2,denergy,hard,,0.19333666277894856,,,,0.9525189311701613
mux4,delay,easy,0.0,,,3.934462222278399,,0.5700865267151127
mux4,area,easy,,0.2839183647889992,,,,0.9755791039549218
mux4,lpower,easy,,0.11187597259171647,,,,0.5559362399863286
mux4,denergy,easy,,0.0021483489610266407,,,,0.5348528431713737
mux4,delay,hard,3.1369448764435073,,,0.5081925137582488,,0.8316415055210026
mux4,area,hard,,0.35778033738856435,,,,0.9880049722019894
mux4,lpower,hard,,0.32236674794207065,,,,0.8279138454959137
mux4,denergy,hard,,0.28073375091037084,,,,0.9943662618662574
mux8,delay,easy,0.0,,,4.439779694843578,,0.6601108415004824
mux8,area,easy,,0.5486426664163658,,,,0.9756934275959698
mux8,lpower,easy,,0.2380559585648822,,,,0.5468728724048277
mux8,denergy,easy,,0.0029053391137917966,,,,0.5231276299250225
mux8,delay,hard,4.9490961359025585,,,0.45254210999717775,,0.8846872287553096
mux8,area,hard,,0.7645051946159651,,,,0.9834986761377894
mux8,lpower,hard,,0.6697504633436362,,,,0.9599639296705227
mux8,denergy,hard,,0.4542825975429124,,,,0.9698068520398291
mult,delay,easy,0.0,,,61.777235436483835,,0.539191885251039
mult,area,easy,,1.1322969325198273,7.852086512913157,,,0.997120506119588
mult,lpower,easy,,1.0320514230056876,3.411671281132248,,,0.7465081509218953
mult,denergy,easy,,0.0,2.146924193738219,,,0.8988257654810033
mult,delay,hard,0.0,,,5.971649009143529,,0.9704083045351518
mult,area,hard,,13.296909763669026,10.2773763878058,,,0.9969630019304513
mult,lpower,hard,,26.397088944265164,7.310137358727654,,,0.9703772416232848
mult,denergy,hard,,41.5120348723692,25.39500777044283,,,0.9849195751440497

1 Module Metric Target 1 N N^2 log2(N) Nlog2(N) R^2
2 priorityencoder delay easy 4.865032478368464 0.0 1.0346781590203091 6.815655848737334 0.990533246983837 0.5471505976585844
3 priorityencoder area easy 0.3296349181169891 0.14996313076366272 0.9718942704677337 0.9751246139683207
4 priorityencoder lpower easy 0.2508481588069769 0.04628232776780845 0.9418329012771585 0.6646449382421588
5 priorityencoder denergy easy 0.09327161156406552 0.00046338953826781273 0.8065924672945542 0.8843605490100168
6 add priorityencoder delay hard 8.961254531683414 0.0 1.4310340215065527 0.9775747670327015 0.9564367595740637 0.987274834491306
7 add priorityencoder area hard 1.0710989265923485 0.3296349181169891 0.988580182173048 0.9718942704677337
8 add priorityencoder lpower hard 0.9470245397661955 0.2508481588069769 0.9951383820581323 0.9418329012771585
9 add priorityencoder denergy hard 0.9954952282287014 0.09327161156406552 0.9928308616130285 0.8065924672945542
10 csa add delay easy 3.590384717869601 0.0 27.820556626526365 0.0 0.5330240516496716
11 csa add area easy 0.9312877569527923 0.33740563909904386 0.999393942859829 0.9968636684818916
12 csa add lpower easy 1.5320774877598933 0.1559461482654009 0.9400384192534433 0.7403794995975848
13 csa add denergy easy 1.1454135769936609 0.025219887569037786 0.9735205275004183 0.6462978476180771
14 shiftleft add delay hard 8.66019468793489 1.8060844241506506 1.6351711913499432 1.4310340215065525 0.9873681453602638 0.9564367595740637
15 shiftleft add area hard 1.9102134686740575 1.0710989265923485 0.9466461680123697 0.988580182173048
16 shiftleft add lpower hard 2.277088275290811 0.9470245397661955 0.9624044038708768 0.9951383820581323
17 shiftleft add denergy hard 1.4931073444617051 0.9954952282287014 0.9454881696599784 0.9928308616130285
18 comparator csa delay easy 6.680678539086959 5.827386725865409 0.9397668550976327 0.98789326603378 0.0
19 comparator csa area easy 0.6003877936704982 0.3404841239399024 0.9672416909621802 0.9966821820865757
20 comparator csa lpower easy 0.46756802348373877 0.1555300133584381 0.8609362596824635 0.7410756093594764
21 comparator csa denergy easy 0.3089180049610159 0.0005478126632729184 0.8267293340232036 0.5798854696439455
22 flop csa delay hard 3.3270503187614153 3.590384717869601 0.0
23 flop csa area hard 0.34478305655859876 0.9312877569527923 0.9433629202566682 0.9993939428598292
24 flop csa lpower hard 0.3707856336608904 1.5320774877598933 0.9170347531086821 0.9400384192534433
25 flop csa denergy hard 0.0011765517257429892 1.1454135769936609 0.688648230209356 0.9735205275004183
26 mux2 shiftleft delay easy 4.732514086885074 0.0 0.38138175938205005 5.744537363106859 0.5638177354804589 0.7778961884907117
27 mux2 shiftleft area easy 0.19794547955000782 0.8000093911038876 0.9753613114571431 0.9576897492378456
28 mux2 shiftleft lpower easy 0.1881638557015794 0.28913702096331206 0.7572248871637561 0.623995386847899
29 mux2 shiftleft denergy easy 0.16278100836605952 0.005924456057944899 0.9811112115671446 0.7200057939838627
30 mux4 shiftleft delay hard 5.67790744523475 0.48433873118517795 0.5081925137582493 1.635171191349943 0.8316415055210026 0.9873681453602638
31 mux4 shiftleft area hard 0.35778033738856435 1.9102134686740575 0.9880049722019894 0.9466461680123697
32 mux4 shiftleft lpower hard 0.32236674794207065 2.277088275290811 0.8279138454959137 0.9624044038708768
33 mux4 shiftleft denergy hard 0.28073375091037084 1.4931073444617051 0.9943662618662574 0.9454881696599784
34 mux8 comparator delay easy 7.252700330388384 0.0 0.45254210999717837 4.706704191403 0.8464368692304263 0.5450694752498024
35 mux8 comparator area easy 0.7614128432326613 0.3425601443761704 0.9863118376555963 0.978537426983507
36 mux8 comparator lpower easy 0.6570734849206145 0.15525826941742596 0.9855956038468652 0.8078417286943447
37 mux8 comparator denergy easy 0.4496346388149245 0.0008896717814426517 0.9785597135426944 0.9267090446396561
38 mult comparator delay hard 29.562138166420393 1.9818442635987938 6.711916207386673 0.9397668550976329 0.9833266087176287 0.9878932660337799
39 mult comparator area hard 0.6003877936704982 13.838943348894976 0.9875861886135875 0.9672416909621802
40 mult comparator lpower hard 0.46756802348373877 14.380577146903335 0.9349609233308782 0.8609362596824635
41 mult comparator denergy hard 0.3089180049610159 36.51397409545879 0.9719012952478829 0.8267293340232036
42 flop delay easy 3.3270503187614153 0.0
43 flop area easy 0.34478305655859876 0.9433629202566682
44 flop lpower easy 0.3707856336608904 0.9170347531086821
45 flop denergy easy 0.0011765517257429892 0.688648230209356
46 flop delay hard 3.3270503187614153 0.0
47 flop area hard 0.34478305655859876 0.9433629202566682
48 flop lpower hard 0.3707856336608904 0.9170347531086821
49 flop denergy hard 0.0011765517257429892 0.688648230209356
50 mux2 delay easy 0.0 3.276654474184255 0.7130397298335213
51 mux2 area easy 0.15083561354737726 0.976644158286422
52 mux2 lpower easy 0.12067626255418841 0.9344813545348312
53 mux2 denergy easy 0.0011206170933885473 0.5565267433319017
54 mux2 delay hard 2.539326242287272 0.4143154417811283 0.550540330173853
55 mux2 area hard 0.2261714754439734 0.9792793539936671
56 mux2 lpower hard 0.27830936017352714 0.9042661125086188
57 mux2 denergy hard 0.19333666277894856 0.9525189311701613
58 mux4 delay easy 0.0 3.934462222278399 0.5700865267151127
59 mux4 area easy 0.2839183647889992 0.9755791039549218
60 mux4 lpower easy 0.11187597259171647 0.5559362399863286
61 mux4 denergy easy 0.0021483489610266407 0.5348528431713737
62 mux4 delay hard 3.1369448764435073 0.5081925137582488 0.8316415055210026
63 mux4 area hard 0.35778033738856435 0.9880049722019894
64 mux4 lpower hard 0.32236674794207065 0.8279138454959137
65 mux4 denergy hard 0.28073375091037084 0.9943662618662574
66 mux8 delay easy 0.0 4.439779694843578 0.6601108415004824
67 mux8 area easy 0.5486426664163658 0.9756934275959698
68 mux8 lpower easy 0.2380559585648822 0.5468728724048277
69 mux8 denergy easy 0.0029053391137917966 0.5231276299250225
70 mux8 delay hard 4.9490961359025585 0.45254210999717775 0.8846872287553096
71 mux8 area hard 0.7645051946159651 0.9834986761377894
72 mux8 lpower hard 0.6697504633436362 0.9599639296705227
73 mux8 denergy hard 0.4542825975429124 0.9698068520398291
74 mult delay easy 0.0 61.777235436483835 0.539191885251039
75 mult area easy 1.1322969325198273 7.852086512913157 0.997120506119588
76 mult lpower easy 1.0320514230056876 3.411671281132248 0.7465081509218953
77 mult denergy easy 0.0 2.146924193738219 0.8988257654810033
78 mult delay hard 0.0 5.971649009143529 0.9704083045351518
79 mult area hard 13.296909763669026 10.2773763878058 0.9969630019304513
80 mult lpower hard 26.397088944265164 7.310137358727654 0.9703772416232848
81 mult denergy hard 41.5120348723692 25.39500777044283 0.9849195751440497