Title
Energy-Efficient Computing for Extreme-Scale Science
Abstract
A many-core processor design for high-performance systems draws from embedded computing's low-power architectures and design processes, providing a radical alternative to cluster solutions.
Year
DOI
Venue
2009
10.1109/MC.2009.353
IEEE Computer
Keywords
DocType
Volume
cluster solutions,power aware computing,extreme-scale science,Application-driven design,Climate modeling,design process,many-core processor design,low-power architecture,Extreme-scale computing,embedded computing,logic design,cluster solution,Embedded systems,high-performance system,Chip architectures,radical alternative,energy-efficient computing,Green Flash,embedded systems,low-power architectures
Journal
42
Issue
ISSN
Citations 
11
0018-9162
31
PageRank 
References 
Authors
2.37
4
8
Name
Order
Citations
PageRank
David Donofrio113316.02
leonid oliker21358145.15
John Shalf32353211.77
Michael Wehner410013.13
Chris Rowen510418.64
Jens Krueger617612.20
Shoaib Kamil766366.76
Marghoob Mohiyuddin817911.27