Why this Great 'SpeedUp'?

Error or SuperHiperPower optimization???

[OCDER]

I'm voting for SuperLowResolutionImage, SuperVagueQuestion, and SuperCamelCaseUser... Read this if you want an answer in the far future:

https://www.mathworks.com/matlabcentral/answers/6200-tutorial-how-to-ask-a-question-on-answers-and-get-a-fast-answer

[andre barbieri]

First, my original image was 1920x1080 but this forum did a downsampling. And who are you?

[David Goodmanson]

Hello andre,

Donald is a regular contributor to this site with 49 accepted answers.

Downsampling or not, the print is too small to read. Would you care to repost it in a different format?

[Cedric]

Right click on the image and view, you'll have the original.

[David Goodmanson]

thanks Cedric

[OCDER]

Hi Andre, I'm just a volunteer trying to answer questions or point towards resources to help people get answers.

Your question "Error or SuperHiperPower optimization???", would yield an Error vs Optimization choice answer, which probably won't satisfy your curiousity. The answer would be optimization since no errors are being returned.

If you want to know "What did MathWorks do to make lu faster in 2017b than in 2017a?", then we can try a bit more to help. BUT, turns out lu is a built-in compiled function with protection against viewing the source code optimization... Wish we could help you more by investigating changes made, but seems like we can't:

https://www.mathworks.com/matlabcentral/answers/98627-how-do-i-access-the-source-code-for-built-in-functions-in-matlab

Answer 1

[Steven Lord]

First note that you should not compare the results of running different versions of bench on different releases as bench may very well change from release to release. We mention that in the help for bench as well as at the bottom of the figure containing the numeric results of the bench run. [I don't know offhand if it did for release R2017b or not.] If you must compare two releases, run the older version of bench on both releases.

Even if the LU task did not change between release R2017a and R2017b the machine on which it was run appears to have changed. In R2017a the machine claiming the top spot in the table was listed as a Windows 7 machine; in R2017b it was listed as a Windows 10 machine.

[andre barbieri]

win7 -> win10 Gain 100% speedUp LU for same cpu?! Look picture or you can run bench() in R2017a vs R2017b

[Jan]

@andre: The code of bench is subject to changes. You have to run the same bench.m file in both Matlab versions for a comparison. The 2016b version of the LU test is:

n = 2400;
A = randn(n, n);
tic
B = lu(A); 
t = toc;

What do you see in the bench functions for 2017a and b? If they are equal, this would mean that LU uses faster methods: More cores or AVX code?

[andre barbieri]

'1.46x speedup' for LU only in the First Cpu (same cpu, just change 2017a to 2017b) !!! Think that this was an error..