Files
FAT-Allocator/pyplot/MatrixMultiply/Size200/TLB-L1-DATA-ACCESS.py

31 lines
1.1 KiB
Python

import matplotlib.pyplot as plt
import numpy as np
# ypoints = np.array([19636392729, 9856229208,9445728437,5148906386])
# xpoints = np.array([5,10,15,20])
# ypoints1 = np.array([10062197042, 9873241615,12034929886,5118684853])
# xpoints1 = np.array([5,10,15,20])
ypoints = np.array([399876441,380500198])
xpoints = ["Malloc Physically contigous with bounds","System memory allocator"]
plt.bar(xpoints, ypoints,label='Malloc Physically contigous with bounds')
'''
L1D_TLB
The counter counts each Memory-read operation or Memory-write operation that causes a TLB
access to at least the Level 1 data or unified TLB.
Each access to a TLB entry is counted including multiple accesses caused by single instructions
such as LDM or STM.
'''
# plt.title("Level 1 data TLB access, read \n ARM Performance counter: L1D_TLB_RD \n This counter counts each access counted by \n L1D_TLB that is a Memory-read operation. \n Matrix multiply size 200")
plt.xlabel("time in seconds")
plt.ylabel("L1 DTLB reads")
# plt.plot(xpoints1, ypoints1)
# plt.legend()
# plt.show()
plt.savefig('l1_tlb_200_MatrixMultiply.png')