72 lines
1.8 KiB
Python
72 lines
1.8 KiB
Python
import matplotlib.pyplot as plt
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import numpy as np
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# ypoints = np.array([19636392729, 9856229208,9445728437,5148906386])
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# xpoints = np.array([5,10,15,20])
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# ypoints1 = np.array([10062197042, 9873241615,12034929886,5118684853])
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# xpoints1 = np.array([5,10,15,20])
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ypoints = np.array([78303,
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34734,
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129682,
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93214,
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59616,
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111134,
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75559,
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85767,
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96804,
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87956,
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83874,
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72777,
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80302,
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59289,
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105762,
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62793,
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78365,
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77091])
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xpoints = np.array([1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18])
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ypoints1 = np.array([127978,
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79046,
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67101,
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99081,
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186824,
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111734,
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120426,
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65293,
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112589,
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113350,
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110875,
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74596,
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86142,
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77054,
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106211,
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133301,
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109764,
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68751])
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xpoints1 = np.array([1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18])
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plt.plot(xpoints, ypoints,label='Malloc Physically contigous with bounds')
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plt.plot(xpoints1, ypoints1,label='System memory allocator')
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'''
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DTLB_WALK
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The counter counts each Memory-read operation or Memory-write operation that causes a
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TLB access to at least the Level 2 data or unified TLB.
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Each access to a TLB entry is counted including refills
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of Level 1 TLBs.
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The counter does not count the access if the access i
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s due to a TLB maintenance instruction.
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'''
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# plt.title("Level 2 data TLB acces, read \n ARM Performance counter: L2D_TLB \n The counter counts each Memory-read operation or Memory-write operation that causes a TLB access to at least the Level 2 data or unified TLB. \n Kmeans C program with Cluster size 3")
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plt.xlabel("time in seconds")
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plt.ylabel("L2 DTLB reads")
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# plt.plot(xpoints1, ypoints1)
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plt.legend()
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# plt.show()
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plt.savefig('l2_tlb_kmeans_3_dimentions.png') |