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wally synthesis analysis
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Madeleine Masser-Frye
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#!/usr/bin/python3
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# Shreya Sanghai (ssanghai@hmc.edu) 2/28/2022
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# Madeleine Masser-Frye (mmmasserfrye@hmc.edu) 06/2022
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from collections import namedtuple
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import glob
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import re
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import csv
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import subprocess
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from matplotlib.cbook import flatten
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import matplotlib.pyplot as plt
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import matplotlib.lines as lines
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import numpy as np
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field_names = [ 'Name', 'Critical Path Length', 'Cell Area', 'Synth Time']
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data = []
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for name in glob.glob("/home/ssanghai/riscv-wally/synthDC/runs/*/reports/wallypipelinedcore_qor.rep"):
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f = open(name, 'r')
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# trimName = re.search("runs\/(.*?)\/reports", name).group(1)
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trimName = re.search("wallypipelinedcore_(.*?)_sky9",name).group(1)
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for line in f:
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if "Critical Path Length" in line:
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pathLen = re.search("Length: *(.*?)\\n", line).group(1)
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if "Cell Area" in line:
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area = re.search("Area: *(.*?)\\n", line).group(1)
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if "Overall Compile Time" in line:
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time = re.search("Time: *(.*?)\\n", line).group(1)
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data += [{'Name' : trimName, 'Critical Path Length': pathLen, 'Cell Area' : area, 'Synth Time' :time}]
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# field_names = [ 'Name', 'Critical Path Length', 'Cell Area', 'Synth Time']
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# data = []
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# for name in glob.glob("/home/ssanghai/riscv-wally/synthDC/runs/*/reports/wallypipelinedcore_qor.rep"):
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# f = open(name, 'r')
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# # trimName = re.search("runs\/(.*?)\/reports", name).group(1)
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# trimName = re.search("wallypipelinedcore_(.*?)_sky9",name).group(1)
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# for line in f:
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# if "Critical Path Length" in line:
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# pathLen = re.search("Length: *(.*?)\\n", line).group(1)
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# if "Cell Area" in line:
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# area = re.search("Area: *(.*?)\\n", line).group(1)
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# if "Overall Compile Time" in line:
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# time = re.search("Time: *(.*?)\\n", line).group(1)
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# data += [{'Name' : trimName, 'Critical Path Length': pathLen, 'Cell Area' : area, 'Synth Time' :time}]
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with open('Summary.csv', 'w') as csvfile:
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writer = csv.DictWriter(csvfile, fieldnames=field_names)
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writer.writeheader()
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writer.writerows(data)
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def synthsintocsv():
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''' writes a CSV with one line for every available synthesis
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each line contains the module, tech, width, target freq, and resulting metrics
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'''
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print("This takes a moment...")
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bashCommand = "find . -path '*runs/wallypipelinedcore_*' -prune"
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output = subprocess.check_output(['bash','-c', bashCommand])
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allSynths = output.decode("utf-8").split('\n')[:-1]
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specReg = re.compile('[a-zA-Z0-9]+')
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metricReg = re.compile('-?\d+\.\d+[e]?[-+]?\d*')
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file = open("Summary.csv", "w")
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writer = csv.writer(file)
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writer.writerow(['Width', 'Config', 'Special', 'Tech', 'Target Freq', 'Delay', 'Area'])
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for oneSynth in allSynths:
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descrip = specReg.findall(oneSynth)
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width = descrip[2][:4]
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config = descrip[2][4:]
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if descrip[3][-2:] == 'nm':
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special = ''
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else:
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special = descrip[3]
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descrip = descrip[1:]
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tech = descrip[3][:-2]
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freq = descrip[4]
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metrics = []
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for phrase in ['Path Slack', 'Design Area']:
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bashCommand = 'grep "{}" '+ oneSynth[2:]+'/reports/*qor*'
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bashCommand = bashCommand.format(phrase)
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try:
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output = subprocess.check_output(['bash','-c', bashCommand])
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nums = metricReg.findall(str(output))
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nums = [float(m) for m in nums]
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metrics += nums
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except:
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print(config + tech + freq + " doesn't have reports")
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if metrics == []:
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pass
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else:
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delay = 1000/int(freq) - metrics[0]
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area = metrics[1]
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writer.writerow([width, config, special, tech, freq, delay, area])
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file.close()
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def synthsfromcsv(filename):
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Synth = namedtuple("Synth", " width config special tech freq delay area")
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with open(filename, newline='') as csvfile:
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csvreader = csv.reader(csvfile)
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global allSynths
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allSynths = list(csvreader)[1:]
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for i in range(len(allSynths)):
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for j in range(len(allSynths[0])):
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try: allSynths[i][j] = int(allSynths[i][j])
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except:
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try: allSynths[i][j] = float(allSynths[i][j])
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except: pass
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allSynths[i] = Synth(*allSynths[i])
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return allSynths
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def freqPlot(tech, width, config):
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''' plots delay, area for syntheses with specified tech, module, width
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'''
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freqsL, delaysL, areasL = ([[], []] for i in range(3))
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for oneSynth in allSynths:
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if (width == oneSynth.width) & (config == oneSynth.config) & (tech == oneSynth.tech) & (oneSynth.special == ''):
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ind = (1000/oneSynth.delay < oneSynth.freq) # when delay is within target clock period
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freqsL[ind] += [oneSynth.freq]
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delaysL[ind] += [oneSynth.delay]
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areasL[ind] += [oneSynth.area]
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f, (ax1, ax2) = plt.subplots(2, 1, sharex=True)
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for ax in (ax1, ax2):
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ax.ticklabel_format(useOffset=False, style='plain')
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for ind in [0,1]:
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areas = areasL[ind]
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delays = delaysL[ind]
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freqs = freqsL[ind]
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c = 'blue' if ind else 'green'
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ax1.scatter(freqs, delays, color=c)
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ax2.scatter(freqs, areas, color=c)
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freqs = list(flatten(freqsL))
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delays = list(flatten(delaysL))
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areas = list(flatten(areasL))
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legend_elements = [lines.Line2D([0], [0], color='green', ls='', marker='o', label='timing achieved'),
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lines.Line2D([0], [0], color='blue', ls='', marker='o', label='slack violated')]
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ax1.legend(handles=legend_elements)
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ax2.set_xlabel("Target Freq (MHz)")
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ax1.set_ylabel('Delay (ns)')
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ax2.set_ylabel('Area (sq microns)')
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ax1.set_title(tech + ' ' + width +config)
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plt.savefig('./plots/wally/' + tech + '_' + width + config + '.png')
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# plt.show()
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def areaDelay(width, tech, freq, config=None, special=None):
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delays, areas, labels = ([] for i in range(3))
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for oneSynth in allSynths:
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if (width == oneSynth.width) & (tech == oneSynth.tech) & (freq == oneSynth.freq):
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if (special != None) & (oneSynth.special == special):
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delays += [oneSynth.delay]
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areas += [oneSynth.area]
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labels += [oneSynth.config]
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elif (config != None) & (oneSynth.config == config):
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delays += [oneSynth.delay]
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areas += [oneSynth.area]
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labels += [oneSynth.special]
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else:
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delays += [oneSynth.delay]
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areas += [oneSynth.area]
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labels += [oneSynth.config + '_' + oneSynth.special]
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f, (ax1) = plt.subplots(1, 1)
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plt.scatter(delays, areas)
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plt.xlabel('Delay (ns)')
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plt.ylabel('Area (sq microns)')
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titleStr = tech + ' ' +width
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if config: titleStr += config
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if special: titleStr += special
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titleStr = titleStr + ' (target freq: ' + str(freq) + ')'
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plt.title(titleStr)
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for i in range(len(labels)):
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plt.annotate(labels[i], (delays[i], areas[i]), textcoords="offset points", xytext=(0,10), ha='center')
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plt.savefig('./plots/wally/areaDelay ' + titleStr + '.png')
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# ending freq in 42 means fpu was turned off manually
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if __name__ == '__main__':
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synthsintocsv()
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synthsfromcsv('Summary.csv')
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freqPlot('tsmc28', 'rv64', 'gc')
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areaDelay('rv32', 'tsmc28', 4200, config='gc')
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areaDelay('rv32', 'tsmc28', 3042, special='')
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@ -1,5 +1,5 @@
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#!/usr/bin/bash
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rm -r runs/*
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# rm -r runs/*
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make clean
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make del
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make copy
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