loading...
Measuring Productivity on High Performance Computers
Como, Italy September 19-September 22
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/METRICS.2005.3311th IEEE International Software Metr ...
 This Article 
 
Buy PURCHASE ARTICLE: $19
PDF
HTML
Buy IEEE Xplore Subscribers
 
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
ASCII Text
x 
 
Marvin Zelkowitz, Victor Basili, Sima Asgari, Lorin Hochstein, Jeff Hollingsworth, Taiga Nakamura, "Measuring Productivity on High Performance Computers," Software Metrics, IEEE International Symposium on, pp. 6, 11th IEEE International Software Metrics Symposium (METRICS'05), 2005.
 
 
BibTex
x
 
@article{ 10.1109/METRICS.2005.33,
author = {Marvin Zelkowitz and Victor Basili and Sima Asgari and Lorin Hochstein and Jeff Hollingsworth and Taiga Nakamura},
title = {Measuring Productivity on High Performance Computers},
journal ={Software Metrics, IEEE International Symposium on},
volume = {0},
year = {2005},
issn = {1530-1435},
pages = {6},
doi = {http://doi.ieeecomputersociety.org/10.1109/METRICS.2005.33},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Software Metrics, IEEE International Symposium on
TI - Measuring Productivity on High Performance Computers
SN - 1530-1435
SP
EP
A1 - Marvin Zelkowitz,
A1 - Victor Basili,
A1 - Sima Asgari,
A1 - Lorin Hochstein,
A1 - Jeff Hollingsworth,
A1 - Taiga Nakamura,
PY - 2005
KW - null
VL - 0
JA - Software Metrics, IEEE International Symposium on
ER -
 
Marvin Zelkowitz, University of Maryland at College Park and Fraunhofer Center Maryland
Victor Basili, University of Maryland at College Park and Fraunhofer Center Maryland
Sima Asgari, University of Maryland at College Park
Lorin Hochstein, University of Maryland at College Park
Jeff Hollingsworth, University of Maryland at College Park
Taiga Nakamura, University of Maryland at College Park
In the high performance computing domain, the speed of execution of a program has typically been the primary performance metric. But productivity is also of concern to high performance computing developers. In this paper we will discuss the problems of defining and measuring productivity for these machines and we develop a model of productivity that includes both a performance component and a component that measures the development time of the program. We ran several experiments using students in high performance courses at several universities, and we report on those results with respect to our model of productivity.
Citation:
Marvin Zelkowitz, Victor Basili, Sima Asgari, Lorin Hochstein, Jeff Hollingsworth, Taiga Nakamura, "Measuring Productivity on High Performance Computers," metrics, pp.6, 11th IEEE International Software Metrics Symposium (METRICS'05), 2005
Usage of this product signifies your acceptance of the Terms of Use.