How to apply stop time condition with multiple time intervals?

n=100;

tic

Time = 0;

for i = 1:n

if Time >= 35

fprintf('You run out of time')

break

end

A = rand(12000,4400);

Time1 = toc;

B = rand(12000,4400);

tic

C = A.*B;

Time2 = toc;

tic

D = A./B;

Time3 = toc;

E = A.*A;

tic

E = B.*B;

Time4 = toc;

Time = Time1 + Time2 + Time3 + Time4;

end

I want to stop the code when Time = 35 sec, I have tried the above but my code is not terminating the code at specified time?

Answer 1

[Davide Masiello]

n=100;
time = 0;

for i = 1:n
    if sum(time) >= 35
       fprintf('You run out of time')
       break
    end
    
    tic
    A = rand(12000,4400);
    t1(i) = toc;
    
    
    B = rand(12000,4400);
    
    tic
    C = A.*B;
    t2(i) = toc;
    
    tic
    D = A./B;
    t3(i) = toc;
    
    E = A.*A;
    
    tic
    E = B.*B;
    t4(i) = toc;
    time(i) = t1(i)+t2(i)+t3(i)+t4(i);
    disp(sum(time))
end

T = table((1:i-1)',t1',t2',t3',t4',cumsum(time)');
T.Properties.VariableNames = {'Iter.','t1','t2','t3','t4','Total time'}

[Noor Fatima]

@Davide Masiello Sorry but it is computing the time of overall code but I need the total time of different time intervals.

[Davide Masiello]

Understood. I will assume that you would also like to visualize these intervals in some way.

I have modified my answer above so that it displays a table with single interval times at each iteration plus the total cumulative time in the last column.

Mind that if you run this online it won't work, because it'll take longer than 55 seconds, which is Matlab's runtime cutoff online.

The reason why it takes longer than 35s is that you are not counting the time needed for some operations such as

E = A.*A;

I run it on my PC and it worked just fine.

I obtained the following result

T =

73×6 table

Iter. t1 t2 t3 t4 Total time

_____ _______ ________ ________ ________ __________

1 0.36939 0.068282 0.062946 0.035976 0.53659

2 0.37888 0.048764 0.046185 0.034659 1.0451

3 0.35138 0.049733 0.045011 0.035079 1.5263

4 0.34368 0.049401 0.044619 0.035098 1.9991

5 0.35859 0.049233 0.044094 0.034975 2.486

6 0.34777 0.048913 0.043947 0.034611 2.9612

7 0.34229 0.049768 0.043808 0.03503 3.4321

8 0.3427 0.048232 0.043639 0.035583 3.9023

9 0.34194 0.05184 0.044397 0.034535 4.375

10 0.33466 0.048371 0.047798 0.03501 4.8408

11 0.34679 0.051393 0.047315 0.035554 5.3219

12 0.34171 0.04984 0.045351 0.034455 5.7932

13 0.34365 0.052302 0.043544 0.035486 6.2682

14 0.33695 0.051611 0.046274 0.036184 6.7392

15 0.36399 0.051459 0.044339 0.034732 7.2337

16 0.37215 0.049525 0.044569 0.035415 7.7354

17 0.35725 0.049478 0.046472 0.035136 8.2237

18 0.37066 0.048594 0.05014 0.035303 8.7284

19 0.33719 0.044721 0.043755 0.034421 9.1885

20 0.35062 0.049076 0.047046 0.034546 9.6698

21 0.35845 0.049139 0.047191 0.035541 10.16

22 0.35675 0.04527 0.048512 0.034678 10.645

23 0.34079 0.054753 0.045062 0.034532 11.12

24 0.3687 0.049977 0.043941 0.034611 11.618

25 0.33985 0.048851 0.046382 0.035164 12.088

26 0.3429 0.044942 0.04464 0.03497 12.555

27 0.36748 0.049056 0.048524 0.034779 13.055

28 0.34472 0.049342 0.044766 0.034986 13.529

29 0.36218 0.050626 0.045363 0.034661 14.022

30 0.36545 0.050014 0.044266 0.035955 14.518

31 0.33707 0.053633 0.044236 0.035049 14.988

32 0.34205 0.048684 0.049069 0.035021 15.462

33 0.34096 0.048564 0.047281 0.034843 15.934

34 0.34483 0.05002 0.04479 0.034955 16.409

35 0.3486 0.048555 0.046611 0.034456 16.887

36 0.41002 0.049711 0.044558 0.034498 17.426

37 0.33541 0.044762 0.045437 0.039099 17.89

38 0.34224 0.048564 0.045476 0.034788 18.361

39 0.34035 0.050783 0.044695 0.034843 18.832

40 0.35756 0.049778 0.044396 0.035087 19.319

41 0.36009 0.046751 0.044817 0.035935 19.807

42 0.39459 0.050433 0.043778 0.037127 20.332

43 0.34884 0.048504 0.04566 0.035078 20.811

44 0.34405 0.049823 0.04368 0.034994 21.283

45 0.33656 0.051724 0.049868 0.034597 21.756

46 0.36171 0.048757 0.045144 0.034488 22.246

47 0.34071 0.048463 0.046175 0.035084 22.716

48 0.34944 0.04906 0.046477 0.036401 23.198

49 0.33494 0.048195 0.045897 0.034958 23.662

50 0.34986 0.047678 0.044767 0.035154 24.139

51 0.34773 0.048137 0.045249 0.039057 24.619

52 0.34926 0.056467 0.0448 0.034575 25.104

53 0.34466 0.04823 0.047419 0.041498 25.586

54 0.38337 0.050785 0.044854 0.035539 26.101

55 0.33795 0.048054 0.043818 0.035378 26.566

56 0.34112 0.049547 0.050481 0.034612 27.042

57 0.36411 0.050886 0.046011 0.03456 27.537

58 0.34991 0.048303 0.046958 0.034947 28.017

59 0.33776 0.049369 0.046196 0.037852 28.489

60 0.34505 0.048388 0.043728 0.034452 28.96

61 0.35878 0.048209 0.044458 0.03511 29.447

62 0.40436 0.049268 0.047189 0.034544 29.982

63 0.3523 0.048919 0.048061 0.035648 30.467

64 0.35395 0.051569 0.05037 0.034398 30.957

65 0.37335 0.050237 0.050272 0.035661 31.467

66 0.37425 0.050641 0.047039 0.041582 31.98

67 0.41363 0.049155 0.046312 0.035153 32.525

68 0.37333 0.049417 0.047219 0.035022 33.03

69 0.35292 0.049107 0.046173 0.035683 33.514

70 0.36 0.049019 0.044233 0.039235 34.006

71 0.35941 0.05211 0.044699 0.035086 34.497

72 0.36071 0.049099 0.047193 0.035966 34.99

73 0.36268 0.047597 0.044428 0.034712 35.48

[Noor Fatima]

@Davide Masiello Thank you!