loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Exploiting Workload Parallelism for Performance and Power Optimization in Blue Gene
September/October 2006 (vol. 26 no. 5)
pp. 67-81
ASCII Text
x 
 
Valentina Salapura, Robert Walkup, Alan Gara, "Exploiting Workload Parallelism for Performance and Power Optimization in Blue Gene," IEEE Micro, vol. 26, no. 5, pp. 67-81, September/October, 2006.
 
 
BibTex
x
 
@article{ 10.1109/MM.2006.89,
author = {Valentina Salapura and Robert Walkup and Alan Gara},
title = {Exploiting Workload Parallelism for Performance and Power Optimization in Blue Gene},
journal ={IEEE Micro},
volume = {26},
number = {5},
issn = {0272-1732},
year = {2006},
pages = {67-81},
doi = {http://doi.ieeecomputersociety.org/10.1109/MM.2006.89},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - IEEE Micro
TI - Exploiting Workload Parallelism for Performance and Power Optimization in Blue Gene
IS - 5
SN - 0272-1732
SP67
EP81
EPD - 67-81
A1 - Valentina Salapura,
A1 - Robert Walkup,
A1 - Alan Gara,
PY - 2006
KW - computer systems organization
KW - application studies resulting in better multiple-processor systems
KW - super (very large) computers
KW - computer system implementation
KW - architecture
KW - interprocessor communications
KW - processor architectures
KW - parallelism
KW - parallelism
KW - Blue Gene/L system
KW - power optimization
VL - 26
JA - IEEE Micro
ER -
 
Valentina Salapura, IBM T.J. Watson Research Center
Robert Walkup, IBM T.J. Watson Research Center
Alan Gara, IBM T.J. Watson Research Center
Optimizing future supercomputing applications will depend on delivering the best performance for a given power budget. To determine the effect on efficiency of application-scaling parameters, this article analyzes system power and performance measurement results for real-world applications exploiting thread- and data-level parallelism on the Blue Gene/L system.
Index Terms:
computer systems organization, application studies resulting in better multiple-processor systems, super (very large) computers, computer system implementation, architecture, interprocessor communications, processor architectures, parallelism, parallelism, Blue Gene/L system, power optimization
Citation:
Valentina Salapura, Robert Walkup, Alan Gara, "Exploiting Workload Parallelism for Performance and Power Optimization in Blue Gene," IEEE Micro, vol. 26, no. 5, pp. 67-81, Sep./Oct. 2006, doi:10.1109/MM.2006.89
Usage of this product signifies your acceptance of the Terms of Use.