loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
A Methodology for Analyzing Commercial Processor Performance Numbers
October 2009 (vol. 42 no. 10)
pp. 70-76
ASCII Text
x 
 
Kenneth Hoste, Lieven Eeckhout, "A Methodology for Analyzing Commercial Processor Performance Numbers," Computer, vol. 42, no. 10, pp. 70-76, October, 2009.
 
 
BibTex
x
 
@article{ 10.1109/MC.2009.307,
author = {Kenneth Hoste and Lieven Eeckhout},
title = {A Methodology for Analyzing Commercial Processor Performance Numbers},
journal ={Computer},
volume = {42},
number = {10},
issn = {0018-9162},
year = {2009},
pages = {70-76},
doi = {http://doi.ieeecomputersociety.org/10.1109/MC.2009.307},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - Computer
TI - A Methodology for Analyzing Commercial Processor Performance Numbers
IS - 10
SN - 0018-9162
SP70
EP76
EPD - 70-76
A1 - Kenneth Hoste,
A1 - Lieven Eeckhout,
PY - 2009
KW - computer architecture modeling
KW - system performance
KW - computer systems organization
VL - 42
JA - Computer
ER -
 
Kenneth Hoste, Ghent University
Lieven Eeckhout, Ghent University
The wealth of performance numbers provided by benchmarking corporations makes it difficult to detect trends across commercial machines. A proposed methodology, based on statistical data analysis, simplifies exploration of these machines' large datasets.

1. R.A. Johnson and D.W. Wichern, Applied Multivariate Statistical Analysis, 5th ed., Prentice Hall, 2002.
2. M. Wolfe, "Compilers and More: Gloptimizations," HPCwire,9 Nov. 2007; www.hpcwire.com/topic/developertoolsCompilers_and_More_Gloptimizations.html .
3. K. Hoste and L. Eeckhout, "Microarchitecture-Independent Workload Characterization," IEEE Micro, May/June 2007, pp. 63-72.

Index Terms:
computer architecture modeling, system performance, computer systems organization
Citation:
Kenneth Hoste, Lieven Eeckhout, "A Methodology for Analyzing Commercial Processor Performance Numbers," Computer, vol. 42, no. 10, pp. 70-76, Oct. 2009, doi:10.1109/MC.2009.307
Usage of this product signifies your acceptance of the Terms of Use.