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([int(x) for x in """66540 7859 23464 43214 27505 27462 46371 10104 65940 26508 18169 33410 35932 31967 61487 22289 61131 49936 8378 70970 64227 45327 14493 8585 34713 62427 27633 49391 28682 21025 30477 19946 34838 53935 51581 19594 17913 33452 57925 78362 9176 43589 57070 23447 28627 17297 54966 59315 52363 50624 26515 31190 106412 35441 10280 21075 9663 78816 48329 48742 40940 40585 33234 71473 21832 66627 18375 18306 34411 56034 24142 74324 34921 10427 65288 17961 30433 17538 33052 63611 15918 8983 47290 30154 68913 30144 68603 16772 76516 31663 50528 36797 27584 74728 9514 16252 34017 39159 73261 34238 9979 100145 30276 32994 26959 37082 82385 34030 65503 24471 22303 9260 24329 69294 34741 23791 43832 50302 98996 45543 35170 9195 9658 63685 21802 39287 35287 8836 113920 38764 23417 41543 11622 45682 57685 53500 13722 11203 22599 92580 40797 56990 81024 9030 45653 65413 17266 59900 33502 10976 28385 33838 61241 29094 36072 146101 8552 30128 51724 24090""".replace(' ',',').replace('\n','').split(",")]) xpoints = np.array([(i) for i, x in enumerate(ypoints, 1)]) ypoints1 = np.array([int(x) for x in """147309 24207 72608 53185 29916 62288 19733 20551 15416 33266 38374 37710 76787 38460 35339 15569 43172 40743 35956 52172 17231 32107 66245 78219 57454 37971 21077 38089 16171 26842 70623 61517 43946 16101 64700 15876 18604 52025 32854 48066 110412 74894 15982 16951 30104 67263 97568 71199 47570 60400 119246 46025 39649 61263 31674 18139 52567 106665 28508 50885 30868 64452 21987 104550 60096 35098 27626 26791 44735 24076 53037 18897 49820 44744 46927 58569 17651 45036 55358 31643 15816 75636 62402 17341 71459 41987 16640 15786 79108 60482 35872 21016 38518 17325 16738 84271 28477 52976 40236 51622 19197 15498 38114 34553 83946 108452 44795 39454 49442 22963 72816 64652 74099 22675 60850 76929 50585 61838 41130 45360 17933 70220 87695 19565 64806 78487 21187 56748 93777 53159 19220 33799 19743 31416 37750 67563 53070 18014 19133 39304 41509 16661 81493 53422 17376 15742 56450 49720 34734 47112 16915 17586 16895 79737 48293 35941 18742 54320 33438""".replace(' ',',').replace('\n','').split(",")]) xpoints1 = np.array([(i) for i, x in enumerate(ypoints1, 1)]) plt.plot(xpoints, ypoints,label='Malloc Physically contigous with bounds') plt.plot(xpoints1, ypoints1,label='System memory allocator') # 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 40") plt.xlabel("time in seconds") plt.ylabel("L2 DTLB reads") # plt.plot(xpoints1, ypoints1) plt.legend() # plt.show() plt.savefig('l2_tlb_40_dimentions.png')