execution speed changes by sequence of running the code

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hamed amini
hamed amini 2017-4-4
回答： Steven Lord 2017-4-4
the question updated: the sequence of running different codes changes the run time.
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initially it appeared to be due to difference in file name: any similar experience? changing the function name is changing the execution time (picture attached).
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Steven Lord
Steven Lord 2017-4-4
What else was running on your machine when you ran HAPP_dry_KX3 that was not running when HAPP_dry_KX1 was running? Include Windows "phoning home" to look for updates, virus scanners scanning your machine, etc.
Had you run HAPP_dry_KX1 prior to capturing that picture, then run HAPP_dry_KX3 for the first time while generating that picture? If so, in a new MATLAB session try running HAPP_dry_KX3 multiple times then run HAPP_dry_KX1 for the first time.
hamed amini
hamed amini 2017-4-4
- Tnx. Closed the Matlab session and opened a new one. The timing became the same indeed (both took the longer time).
- computer is not busy with other applications
- These (HAPP_dry_KX1 & HAPP_dry_KX3) are part of optimization algorithms with rather large parameter space (7-D). I also have another version of the optimization algorithm (HAPP_dry_KX2 & HAPP_dry_KX4) with less number of variables (shorter run time). After running HAPP_dry_KX1 and HAPP_dry_KX3 several time, I ran HAPP_dry_KX2, and again HAPP_dry_KX1 and HAPP_dry_KX3; this time both (1 & 3) have shorter run time.
- It seems the sequence of running of these codes makes a difference; however could not find the logic behind this behavior.

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Steven Lord
Steven Lord 2017-4-4
There is some first run overhead (see the "Tips for Measuring Performance" section of that page.) So if you compare the Nth (N > 1) run of one function and the 1st run of another function that contains the same code in a different file, in the latter case you'll measure the overhead in addition to the execution of the code.

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