- cmsg cancel <nep6df$n9m$4@dont-email.me> - 4 Updates
- I have come to an interesting subject... - 1 Update
- Read this about USL, it is important... - 1 Update
- Becareful of this R package for USL - 2 Updates
| bleachbot <bleachbot@httrack.com>: Apr 15 12:46AM +0200 |
| bleachbot <bleachbot@httrack.com>: Apr 15 12:57AM +0200 |
| bleachbot <bleachbot@httrack.com>: Apr 15 01:18AM +0200 |
| bleachbot <bleachbot@httrack.com>: Apr 15 03:07AM +0200 |
| Ramine <ramine@1.1>: Apr 14 09:09PM -0700 Hello.... I have come to an interesting subject... I will now give my critics of the methodology of USL that is using Dr. Gunther the author of USL.. Here is his methodology of USL represented in an R package: https://cran.r-project.org/web/packages/usl/ And read Dr. Gunther about USL here: http://www.perfdynamics.com/Manifesto/USLscalability.html I have just thought about his methodology of using Parallel systems as a black box using mathematical regression to quantify and predict scalability, and i think he is wrong doing it so.. Because when the serial part is for example 1/8 of the parallel part, you can probalistically get much more scalability with less parallel threads and less cores than when testing with more and more cores, because with more and more cores you will get more and more contention on the serial part , so the Dr. Gunther methodology fails , because it is testing the system with less cores and less threads, so it will not get and predict the right or a better approximation of the scalability, so i say that Dr. Gunther methodology of USL fails and is not the right tool, and more than that , as i said before it is not suited for critical systems that demand and require us to know the worst-case performance. Thank you, Amine Moulay Ramdane. |
| Ramine <ramine@1.1>: Apr 14 07:20PM -0700 Hello.... Read this about USL, it is important... I have finally understood how to implement nonlinear regressipn using the Simplex method as minimization for USL, and i have understood how to implement polynomial regression for USL... But i will talk this time about the contribution that is Universal scalability Law (USL) of Dr. Gunther... Here it is: http://www.perfdynamics.com/Manifesto/USLscalability.html I want to tell you that i am not satisfied with this contribution because the Dr. Gunther contribution of USL learn us how to threat the system as a black box and testing it and passing the collected statistics about the performance to the USL program to predict scalability, but i think that the contribution of Dr. Gunther is not efficient, because the empirical collecting of the statistical data is not an exact representation of the worst case scenario, so how can we then use it in critical systems that demand and require that we know what is the worst case performance, so the Dr. Gunther contribution has a weakness because it can not in general be used in critical systems. But although the Dr. Gunther contribution has its weakness in critical systems, it is still useful. Thank you, Amine Moulay Ramdane. . |
| Ramine <ramine@1.1>: Apr 14 06:47PM -0700 Hello..... Please look at this R package from the Dr. Gunther the author of USL: https://cran.r-project.org/web/packages/usl/ Becareful of this USL package , because the nonlinear regressions that are supported by R and that is using this USL package is not efficient, because you can not set the bounds on the the regression parameters between 0.0 and 1.0 , this is required for USL, so the nonlinear regression of this R package is not efficient.. so i have thought more about this problem , and i am currently implementing the Simplex method as a minimization method for the the nonlinear regression and this will allow me to set the bounds of the regression parameters, and this will work much more efficiently and better than the R package , this is all about mathematics and i am currently implementing it in my USL programs, i have just tested it and it is working much more efficiently than the R package for USL. It will take me one day to implement this nonlinear regression using the Simplex method as minimization method. So i will provide you with the best USL programs around. Thank you, Amine Moulay Ramdane. |
| Ramine <ramine@1.1>: Apr 14 06:59PM -0700 Hello, Sorry i have made a mistake: Because look at this: https://cran.r-project.org/web/packages/nlmrt/nlmrt.pdf As you have noticed you can set the the bounds of the parameters with the nlxb R function, here it is: nlxb(formula, start, trace=FALSE, data, lower=-Inf, upper=Inf, masked=NULL, control, ...) So the R pacakge for USL is efficient. Thank you, Amine Moulay Ramdane. |
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