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Reseach Article

Evaluate the Prediction Accuracy and Confidence Intervals of Intel Nehalem base on Regression Model

by Mahmoud Askari
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 92 - Number 3
Year of Publication: 2014
Authors: Mahmoud Askari

Mahmoud Askari . Evaluate the Prediction Accuracy and Confidence Intervals of Intel Nehalem base on Regression Model. International Journal of Computer Applications. 92, 3 ( April 2014), 6-9. DOI=10.5120/15987-4927

@article{ 10.5120/15987-4927,
author = { Mahmoud Askari },
title = { Evaluate the Prediction Accuracy and Confidence Intervals of Intel Nehalem base on Regression Model },
journal = { International Journal of Computer Applications },
issue_date = { April 2014 },
volume = { 92 },
number = { 3 },
month = { April },
year = { 2014 },
issn = { 0975-8887 },
pages = { 6-9 },
numpages = {9},
url = { },
doi = { 10.5120/15987-4927 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T22:13:18.517344+05:30
%A Mahmoud Askari
%T Evaluate the Prediction Accuracy and Confidence Intervals of Intel Nehalem base on Regression Model
%J International Journal of Computer Applications
%@ 0975-8887
%V 92
%N 3
%P 6-9
%D 2014
%I Foundation of Computer Science (FCS), NY, USA

In this paper, has been investigated the predicted accuracy and confidence intervals of performance on multi–core processor i5–460M in various modes of processor included: single, parallel and hyper–threading on SPEC CPU2000 with fixed point operations. The experiments have been performed by Intel–vtune 2013 and have been modeled base on two methods of regression analysis that are Multi–linear and Robust regression along with the accuracy of their predictions. Result of this paper is applicable for producers and users of operating systems and applications due to more accurate models have a lower risk in prediction and thus they can contribute to the better scheduling of applications.

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Index Terms

Computer Science
Information Sciences


Nehalem Performance SPEC CPU2000 Regression Prediction accuracy Confidence interval