46 lines
1.5 KiB
Python
46 lines
1.5 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([int(x) for x in """2470621494
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2375100932
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2670296613
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2645401007
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2876843895
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1166193957""".replace(' ',',').replace('\n','').split(",")])
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xpoints = np.array([(i) for i, x in enumerate(ypoints, 1)])
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ypoints1 = np.array([int(x) for x in """2273131353
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2561823604
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2693697356
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2606093836
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2631231896
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1161666024""".replace(' ',',').replace('\n','').split(",")])
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xpoints1 = np.array([(i) for i, x in enumerate(ypoints1, 1)])
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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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L1D_TLB
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The counter counts each Memory-read operation or Memory-write operation that causes a TLB
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access to at least the Level 1 data or unified TLB.
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Each access to a TLB entry is counted including multiple accesses caused by single instructions
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such as LDM or STM.
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'''
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# 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 Histogram large")
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plt.xlabel("time in seconds")
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plt.ylabel("L1 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('tlb_l1_data.png') |