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» Optimizing Power Consumption in Large Scale Storage Systems
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CLUSTER
2007
IEEE
13 years 11 months ago
Identifying energy-efficient concurrency levels using machine learning
Abstract-- Multicore microprocessors have been largely motivated by the diminishing returns in performance and the increased power consumption of single-threaded ILP microprocessor...
Matthew Curtis-Maury, Karan Singh, Sally A. McKee,...
RTAS
1998
IEEE
13 years 12 months ago
Managing Memory Requirements in the Synthesis of Real-Time Systems from Processing Graphs
In the past, environmental restrictions on size, weight, and power consumption have severely limited both the processing and storage capacity of embedded signal processing systems...
Steve Goddard, Kevin Jeffay
ASPDAC
2006
ACM
109views Hardware» more  ASPDAC 2006»
14 years 1 months ago
Energy savings through embedded processing on disk system
Abstract— Many of today’s data-intensive applications manipulate disk-resident data sets. As a result, their overall behavior is tightly coupled with their disk performance. Un...
Seung Woo Son, Guangyu Chen, Mahmut T. Kandemir, F...
LISA
2007
13 years 10 months ago
Network Patterns in Cfengine and Scalable Data Aggregation
Network patterns are based on generic algorithms that execute on tree-based overlays. A set of such patterns has been developed at KTH to support distributed monitoring in network...
Mark Burgess, Matthew Disney, Rolf Stadler
GECCO
2008
Springer
199views Optimization» more  GECCO 2008»
13 years 8 months ago
Analysis of multi-objective evolutionary algorithms to optimize dynamic data types in embedded systems
New multimedia embedded applications are increasingly dynamic, and rely on Dynamically-allocated Data Types (DDTs) to store their data. The optimization of DDTs for each target em...
José Ignacio Hidalgo, José L. Risco-...