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» Power and performance optimization at the system level
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GECCO
2007
Springer
143views Optimization» more  GECCO 2007»
15 years 10 months ago
Learning and exploiting knowledge in multi-agent task allocation problems
Imagine a group of cooperating agents attempting to allocate tasks amongst themselves without knowledge of their own capabilities. Over time, they develop a belief of their own sk...
Adam Campbell, Annie S. Wu
ISLPED
2000
ACM
77views Hardware» more  ISLPED 2000»
15 years 9 months ago
A recursive algorithm for low-power memory partitioning
Memory-processor integration o ers new opportunities for reducing the energy of a system. In the case of embedded systems, one solution consists of mapping the most frequently acc...
Luca Benini, Alberto Macii, Massimo Poncino
JCP
2008
96views more  JCP 2008»
15 years 4 months ago
Energy Driven Application Self-Adaptation at Run-time
Until recently, there has been a lack of methods to trade-off energy use for quality of service at run-time in stand-alone embedded systems. Such systems are motivated by the need ...
Jorgen Peddersen, Sri Parameswaran
ISCA
2008
IEEE
188views Hardware» more  ISCA 2008»
15 years 11 months ago
MIRA: A Multi-layered On-Chip Interconnect Router Architecture
Recently, Network-on-Chip (NoC) architectures have gained popularity to address the interconnect delay problem for designing CMP / multi-core / SoC systems in deep sub-micron tech...
Dongkook Park, Soumya Eachempati, Reetuparna Das, ...
ACL
2006
15 years 6 months ago
Segment-Based Hidden Markov Models for Information Extraction
Hidden Markov models (HMMs) are powerful statistical models that have found successful applications in Information Extraction (IE). In current approaches to applying HMMs to IE, a...
Zhenmei Gu, Nick Cercone