Does not using 'clc' command increase the computation time?
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Hello, I am running a code that test different parameters performance on an algorithm and I write results to command line as below. However the program starts fast but than begin to slower and slower nearly after 30000 steps. Normally it does samething, and there is no workload that comes from different parameter. Dou you know what can cause such problems? Thank you.
A part of code:
for mi=1:length(matris_size)
for gi=[2 3 4]
gauss_f=f_gauss_dagilimi(gauss(gi).n, gauss(gi).sigma, gauss(gi).window_size);
for peak_threshold=[0.01 : 0.2: 1.41 ]
for en_buyuk_kac_deger=[1:15:91]
for min_value=[0.05 : 0.10: 0.45 ]
for kanal_indis=kanallar
%algorithm
end
end
end
end
end
end
a sample output:
22000 -> subject [ 1]: 1 2 4 1 2 0.01 31 0.25 --45.00 -0.15
22001 -> subject [ 1]: 1 2 5 1 2 0.01 31 0.25 --65.00 0.26
22002 -> subject [ 1]: 1 2 6 1 2 0.01 31 0.25 --55.00 0.06
22003 -> subject [ 1]: 1 2 7 1 2 0.01 31 0.25 --60.00 0.12
22004 -> subject [ 1]: 1 2 8 1 2 0.01 31 0.25 --45.00 -0.17
22005 -> subject [ 1]: 1 2 9 1 2 0.01 31 0.25 --40.00 -0.29
22006 -> subject [ 1]: 1 2 10 1 2 0.01 31 0.25 --55.00 0.02
22007 -> subject [ 1]: 1 2 11 1 2 0.01 31 0.25 --50.00 -0.08
22008 -> subject [ 1]: 1 2 12 1 2 0.01 31 0.25 --60.00 0.14
22009 -> subject [ 1]: 1 2 13 1 2 0.01 31 0.25 --45.00 -0.17
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Antworten (1)
Ameer Hamza
am 15 Okt. 2020
Not using clc does not slow down your code. The display in command does not have a direct relation with the execution speed of your code. At least not enough to have a significant impact on your execution speed. One of the main reasons why execution speed becomes significantly slower is if you are expanding your arrays dynamically. Are you pre-allocating your arrays?
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