comp.programming

Ramine

4/4/2016 1:47:00 AM

On 4/3/2016 6:32 PM, Ramine wrote:
> Hello,
>
>
> I will a little bit explain my USL program...
>
> If you have took a look at this link:
>
> https://cran.r-project.org/web/packages/usl/vignett...
>
> You will notice that the performance data for the raytracer
> in the link above is the same as the performance data
> inside the data.csv file inside my zip file of my USL software..
>
> And as you have noticed in the link above the peak scalability
> number is at: 449 processors.
>
> So if you run my program against this same performance data
> like this at the command prompt:
>
> usl data.csv
>
> So the output is of my program is:
>
> --
> Peak number is: 449.188
> Predicted scalability peak is: 18.434
> Coefficient of determination R-squared is: 0.995
> --
>
> So as you have noticed that the peak number that
> is the peak number of processors is: 449.188
> this is the same result as the link above.
>
> So my program is working correctly.
>
> But this is not the end of the story..
>
> You have to optimize the criterion of the cost for a better QoS,
> and for this i have supplied you with a second option
> called -d that you have to run for that, so you have
> to type at the command prompt:
>
> usl data.csv -d 0.3 0.1
>
>
> the 0.3 is the slop of the secant with a step 0.1,

I mean: the 0.3 is the slope of the secant with a step 0.1

> so since the step is 0.1 so this will approximate
> a derivative of the USL equation that equal 0.3,
> so here is the output of my program when you run
> it with -d 0.3 0.1:
>
> --
> Peak number is: 449.188
> Predicted scalability peak is: 18.434
> Coefficient of determination R-squared is: 0.995
> The derivative of the USL equation at delta(y)/delta(x)=0.300 with a
> step delta(x)=0.100, gives a good approximation of a number and a
> derivative delta(y)/delta (x) of: 16.600 and 0.300
> --
>
> So as you have noticed that a good approximation for the
> derivative of the USL equation will arrive at the 16.600 cores
> and this gives also a derivative of the secant that approximate the
> derivative of the USL equation.
>
> So to optimize more the criterion of the cost for a better QoS,
> you have to choose a good delta(y)/delta(x) to optimize the criterion of
> the cost of your system and you have to balance better between the
> performance and the cost.
>
> You can download my USL program with the source code from:
>
> https://sites.google.com/site/aminer68/universal-scalability-law-for-delphi-and-...
>
>
>
>
> Thank you,
> Amine Moulay Ramdane.
>
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