- cmsg cancel <ndmq9b$lr0$2@dont-email.me> - 3 Updates
- Validation of my USL program - 2 Updates
- Universal Scalability Law for Delphi and FreePascal was updated,to version 2.0 - 1 Update
| bleachbot <bleachbot@httrack.com>: Apr 01 11:50PM +0200 |
| bleachbot <bleachbot@httrack.com>: Apr 02 01:06AM +0200 |
| bleachbot <bleachbot@httrack.com>: Apr 02 01:15AM +0200 |
| Ramine <ramine@1.1>: Apr 01 07:07PM -0700 Hello, How can you be sure that my USL program works correctly ? Please take a look at this link: https://cran.r-project.org/web/packages/usl/vignettes/usl.pdf Notice the raytracer performance data, when they have analysed it, it gives a peak scalability of: 449 So try to run my program inside the zip against the the same raytracer performance data that you will find inside the data.csv file inside the zip, and this will give the same peak scalability at: 449. So as you have noticed, my program is working for this performance data of the raytracer, so i think that you can be confident with my program. I have included an executable called usl.exe inside the zip, please read the readme file to know how to use it, it is a very powerful tool. Thank you, Amine Moulay Ramdane. |
| Ramine <ramine@1.1>: Apr 01 07:16PM -0700 On 4/1/2016 7:07 PM, Ramine wrote: > https://cran.r-project.org/web/packages/usl/vignettes/usl.pdf > Notice the raytracer performance data, when they have > analysed it, it gives a peak scalability of: 449 I mean: It gives a peak scalability at: 449 |
| Ramine <ramine@1.1>: Apr 01 05:51PM -0700 Hello.. Universal Scalability Law for Delphi and FreePascal was updated to version 2.0 Now you have two options: You can type at the command prompt: usl data.csv -p 20 the -p option will give you the scalability for the data point 20 and you can type at the command prompt: usl data.csv -d 0.2 10 the -d option will give you the derivative of the USL equation at delta(y)/delta(x)=0.2 (it must be between 0 and 1) with a step delta(x)=10 that will output a good approximation of a number and a derivative to better optimize the criterion of the cost for a better QoS. You can download the new version 2.0 from: https://sites.google.com/site/aminer68/universal-scalability-law-for-delphi-and-freepascal Author: Amine Moulay Ramdane. Email: aminer@videotron.ca Description: This program analyzes system performance data with the Universal Scalability Law, and it compiles with Delphi XE versions and FreePascal. You have to supply the performance data as a csv file format, please take a look at the supplied csv file called "data.csv", the first line of the names of the colomuns of the csv file must be commented by "#" character. Just compile the usl.pas program and run it by executing it on the command prompt like this: usl data.csv The Universal Scalability Law (USL) was developed by Dr. Neil J. Gunther. It can be used to analyze system performance data in order to learn more about the scalability limitations of the system. Details are presented in the book *Guerrilla Capacity Planning*. Authors of Universal Scalability Law website: http://www.perfdynamics.com/ Please take a look at the source code in the zip file: When you compile the usl.pas , please type this in the command prompt: usl data.csv You can pass a second parameter that is a number to predict its scalability. Here is the output of my program: Peak number is: 449.188 Predicted scalability peak is: 18.434 Coefficient of determination R-squared is: 0.995 The peak number is the peak number of cores (look inside the csv file) that will give the Predicted scalability peak that is: 18.434X I have used a polynomial regression and i have done other approximations to find the predicted scalability peak when the derivative must equal an approximation of 0 and this when the USL coefficient beta equal 0. This is all about mathematics. You have two options: You can type at the command prompt: usl data.csv -p 20 the -p option will give you the scalability for the data point 20 and you can type at the command prompt: usl data.csv -d 0.2 10 the -d option will give you the derivative of the USL equation at delta(y)/delta(x)=0.2 (it must be between 0 and 1) with a step delta(x)=10 that will output a good approximation of a number and a derivative to better optimize the criterion of the cost for a better QoS. I have tested more my USL for Delphi and FreePascal and it is working perfectly. But to make it work best with multicores, you have to choose the first column of the number of cores of the csv to: 1,2,4,8,16 without going up to 32 and it will work ok, don't choose 1,2,3,4,5 because this will not be a good approximation and this will cause problems. I have used a polynomial regression and i have done other approximations to find the predicted scalability peak when the derivative must equal an approximation of 0 and this when the USL coefficient beta equal 0. This is all about mathematics. - Platform: Win32 ,Win64,Linux,OSX Thank you, Amine Moulay Ramdane. |
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