Paper Info
Title
Dynamic Cluster Resizing
Abstract
Processor resources required for an effective execution of anapplication vary across different sections. We propose to takeadvantage of clustering to turn-off resources that do notcontribute to improve performance. First, we present a simplehardware scheme to dynamically compute the energy consumed by eachprocessor block and the energy-delay2 product for a given intervalof time. This scheme is used to compute the effectiveness of thecurrent configuration in terms of energy-delay2 and evaluate thebenefits of increasing/decreasing the number of active issuequeues. Performance evaluation shows an average energy-delay2product improvement of 18%, and up to 50% for some applications, ina quad-cluster architecture.
Year
DOI
Venue
2003
10.1109/ICCD.2003.1240922
ICCD
Keywords
Field
DocType
dynamic cluster resizing,ina quad-cluster architecture,energy-delay2 product,simplehardware scheme,effective execution,different section,intervalof time,eachprocessor block,performance evaluation,active issuequeues,energy-delay2product improvement,statistical analysis,queueing theory,computer architecture,resource allocation
Resizing,Computer science,Queue,Parallel computing,Real-time computing,Queueing theory,Resource allocation,Cluster analysis,Statistical analysis
Conference
ISSN
ISBN
Citations 
1063-6404
0-7695-2025-1
5
PageRank 
References 
Authors
0.86
8
2
Name
Order
Citations
PageRank
José González152635.85
Antonio González23178229.66