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» Optimizing for Reduced Code Space using Genetic Algorithms
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EUROSYS
2007
ACM
15 years 11 months ago
Removing the memory limitations of sensor networks with flash-based virtual memory
Virtual memory has been successfully used in different domains to extend the amount of memory available to applications. We have adapted this mechanism to sensor networks, where,...
Andreas Lachenmann, Pedro José Marró...
DCC
1995
IEEE
15 years 5 months ago
Constrained-Storage Vector Quantization with a Universal Codebook
— Many image compression techniques require the quantization of multiple vector sources with significantly different distributions. With vector quantization (VQ), these sources ...
Sangeeta Ramakrishnan, Kenneth Rose, Allen Gersho
PE
2011
Springer
167views Optimization» more  PE 2011»
14 years 8 months ago
Passage-time computation and aggregation strategies for large semi-Markov processes
High-level semi-Markov modelling paradigms such as semi-Markov stochastic Petri nets and process algebras are used to capture realistic performance models of computer and communic...
Marcel C. Guenther, Nicholas J. Dingle, Jeremy T. ...
141
Voted
DAC
2004
ACM
15 years 5 months ago
Practical repeater insertion for low power: what repeater library do we need?
In this paper, we investigate the problem of repeater insertion for low power under a given timing budget. We propose a novel repeater insertion algorithm to compute the optimal r...
Xun Liu, Yuantao Peng, Marios C. Papaefthymiou
SIGMOD
2009
ACM
171views Database» more  SIGMOD 2009»
16 years 2 months ago
GAMPS: compressing multi sensor data by grouping and amplitude scaling
We consider the problem of collectively approximating a set of sensor signals using the least amount of space so that any individual signal can be efficiently reconstructed within...
Sorabh Gandhi, Suman Nath, Subhash Suri, Jie Liu