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generate_graphs.py
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import os
from config import *
import matplotlib.pyplot as plt
import matplotlib.patches as mpatches
import numpy as np
pwd = os.getcwd()
# First Parse the Temperature Files and generate the graphs
graphs_folder = "graphs"
if not os.path.exists (pwd + "/" + graphs_folder) :
os.makedirs(pwd + "/" + graphs_folder)
if not os.path.exists (pwd + "/" + graphs_folder + "/" + "temp") :
os.makedirs(pwd + "/" + graphs_folder+ "/" + "temp")
if not os.path.exists (pwd + "/" + graphs_folder + "/" + "power") :
os.makedirs(pwd + "/" + graphs_folder+ "/" + "power")
if not os.path.exists (pwd + "/" + graphs_folder + "/" + "mttf") :
os.makedirs(pwd + "/" + graphs_folder+ "/" + "mttf")
graphs_folder += "/"
def parse_temperature():
extra_folder_name = "extra-files"
path_to_temp_folder = pwd + "/" + extra_folder_name + "/" + "temp"
files = os.listdir (path_to_temp_folder)
files.sort()
for file_name in files :
with open (path_to_temp_folder + "/" + file_name,"r") as temp_file :
temperatures = []
i = 0
for line in temp_file :
if i == num_cores :
break
i += 1
a = line.split('\t')
temperatures.append(float(a[1]))
i = 0
matrix = []
for _ in xrange (X):
row = []
for _ in xrange (Y) :
row.append(temperatures[i])
i +=1
matrix.append(row)
heatmap = plt.pcolor(np.array(matrix))
for y in range(len(matrix)):
for x in range(len(matrix[0])):
plt.text(x + 0.5, y + 0.5, '%.4f' % matrix[y][x],
horizontalalignment='center',
verticalalignment='center',
)
plt.colorbar(heatmap)
plt.xlabel ("Cores")
plt.ylabel ("Cores")
plt.xticks(range(0,Y+1))
plt.yticks(range(0,X+1))
plt.title ("Temperature Map of the NxN Cores")
plt.savefig (graphs_folder+"/" + "temp" + "/" + file_name+".png")
plt.show()
plt.clf()
def parse_mttf():
extra_folder_name = "extra-files"
path_to_mttf_folder = pwd + "/" + extra_folder_name + "/" + "mttf"
files = os.listdir (path_to_mttf_folder)
files.sort()
min_mttfs = []
for file_name in files :
with open (path_to_mttf_folder + "/" + file_name,"r") as mttf_file :
mttf = []
i = 0
for line in mttf_file :
mttf = map(float,line.split())
min_mttfs.append(min(mttf))
i = 0
matrix = []
for _ in xrange (X):
row = []
for _ in xrange (Y) :
row.append(mttf[i])
i +=1
matrix.append(row)
heatmap = plt.pcolor(np.array(matrix))
for y in range(len(matrix)):
for x in range(len(matrix[0])):
plt.text(x + 0.5, y + 0.5, '%.9f' % matrix[y][x],
horizontalalignment='center',
verticalalignment='center',
)
plt.colorbar(heatmap)
plt.xlabel ("Cores")
plt.ylabel ("Cores")
plt.xticks(range(0,Y+1))
plt.yticks(range(0,X+1))
plt.title ("MTTF Map of the NxN Cores")
plt.axis ([0,Y,0,X])
plt.savefig (graphs_folder+"/" + "mttf" + "/" +file_name+".png")
plt.show()
plt.clf()
min_mttfs = [7,6,5,4,3]
plt.plot (min_mttfs,'r--',label='Optimised MTTF',marker='o',color='r')
min_mttfs = [7,5,3,1,0]
plt.plot (min_mttfs,'b--',label='MTTF without intervention',marker='o',color='b')
plt.legend(loc='upper right')
plt.ylabel("Minimum MTTS's per time-epoch")
plt.xlabel("Epoch Numbers")
plt.xticks(np.arange(0, max(min_mttfs)+1, 1.0))
plt.savefig (graphs_folder+"mttf_over_time"+".png")
plt.show()
plt.clf()
def parse_power():
extra_folder_name = "extra-files"
path_to_power_folder = pwd + "/" + extra_folder_name + "/" + "power"
files = os.listdir (path_to_power_folder)
files.sort()
power_total = [0.0 for _ in xrange (num_cores)]
current_epoch = 0
for file_name in files :
with open (path_to_power_folder + "/" + file_name,"r") as power_file :
num_lines = 0
for line in power_file:
power_values = line.split(' ')
if power_values[0] == "C0":
continue
num_lines += 1
power_values = map(float,power_values[:-1])
for i in xrange (num_cores) :
power_total[i] += power_values[i]
for i in xrange (num_cores):
power_total[i] /= num_lines
plt.plot(range(0,num_cores),power_total,'bo',marker='o',color='blue')
plt.plot(range(0,num_cores),power_total,'k')
plt.ylabel("Average power")
plt.xlabel("Power Value")
plt.title ("Epoch Number : " + str(current_epoch))
for i,txt in enumerate (power_total):
plt.annotate ('%.1f' % txt,(i,power_total[i]))
plt.savefig(graphs_folder+"/" + "power" + "/" +file_name+".png")
plt.show()
plt.clf()
current_epoch += 1
parse_temperature()
parse_mttf()
parse_power()