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