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pyplot/MatrixMultiply/Size200/TLB-L1-DATA-ACCESS.py

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+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')