LU-Decomposition-using-Parallel-Programming/graph_plot.py at master · brijeshvp/LU-Decomposition-using-Parallel-Programming · GitHub

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# -*- coding: utf-8 -*-
"""PPR_graph_2(1).ipynb

Automatically generated by Colaboratory.

Original file is located at
    https://colab.research.google.com/drive/140N7nnQ99nnNjW8OLAtwZwSdhhECgZ9_
"""

import numpy as np

import matplotlib.pyplot as plt

from google.colab import drive
drive.mount('/content/gdrive')

seq_size = []
with open('/content/gdrive/MyDrive/ppr prj/sequential/size.txt','r') as f:
    seq_size = list(map(int, f.readlines()))
print(seq_size)

seq_time = []
with open('/content/gdrive/MyDrive/ppr prj/sequential/time.txt','r') as f:
    seq_time = list(map(float, f.readlines()))
print(seq_time)

import matplotlib.pyplot as plt
plt.plot(seq_size,seq_time, color = 'blue')
plt.legend(["Serial"])
plt.xlabel("Size Of Matrix")
plt.ylabel("Execution Time")
plt.show()

omp_size = []
with open('/content/gdrive/MyDrive/ppr prj/omp/size.txt','r') as f:
    omp_size = list(map(int, f.readlines()))
print(omp_size)

omp_time = []
with open('/content/gdrive/MyDrive/ppr prj/omp/time.txt','r') as g:
    omp_time = list(map(float, g.readlines()))
    print(omp_time)

plt.plot(omp_size,omp_time, color='black')
plt.legend(["OMP(Threads=4)"])
plt.xlabel("Size Of Matrix")
plt.ylabel("Execution Time")
plt.show()

pthread_size = []
with open('/content/gdrive/MyDrive/ppr prj/pthread/size.txt','r') as f:
    pthread_size = list(map(int, f.readlines()))
print(pthread_size)

pthread_time = []
with open('/content/gdrive/MyDrive/ppr prj/pthread/time.txt','r') as g:
    pthread_time = list(map(float, g.readlines()))
    print(pthread_time)

plt.plot(pthread_size,pthread_time, color='red')
plt.legend(["PThread(Threads=4)"])
plt.xlabel("Size Of Matrix")
plt.ylabel("Execution Time")
plt.show()

plt.plot(omp_size,omp_time, color='black')
plt.plot(pthread_size,pthread_time, color = 'red')
plt.plot(seq_size,seq_time, color = 'blue')
plt.legend(["OMP_Parallel(Threads=4)", "Pthread_Parallel(Threads=4)", "Serial"])
plt.xlabel("Size Of Matrix")
plt.ylabel("Execution Time")
plt.show()

omp_thread_No = []
with open('/content/gdrive/MyDrive/ppr prj/omp/thread_No.txt','r') as f:
    omp_thread_No = list(map(int, f.readlines()))
print(omp_thread_No)

omp_thread_Time = []
with open('/content/gdrive/MyDrive/ppr prj/omp/thread_Time.txt','r') as f:
    omp_thread_Time = list(map(float, f.readlines()))
print(omp_thread_Time)

pthread_thread_No = []
with open('/content/gdrive/MyDrive/ppr prj/pthread/thread_No.txt','r') as f:
    pthread_thread_No = list(map(int, f.readlines()))
print(pthread_thread_No)

pthread_thread_Time = []
with open('/content/gdrive/MyDrive/ppr prj/pthread/thread_Time.txt','r') as f:
    pthread_thread_Time = list(map(float, f.readlines()))
print(pthread_thread_Time)

plt.plot(omp_thread_No,omp_thread_Time, color='red')
# plt.plot(omp_thread_Time, omp_thread_No, color='red')
plt.plot(pthread_thread_No,pthread_thread_Time, color='black')
# plt.plot(pthread_thread_Time,pthread_thread_No, color='black')

plt.legend(["OMP(N=2000)","PThread(N=2000)"])
plt.xlabel("Number of Threads")
plt.ylabel("Execution Time")
plt.show()