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» Parameterised system design based on genetic algorithms
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GECCO
2008
Springer
121views Optimization» more  GECCO 2008»
15 years 7 months ago
Fast rule representation for continuous attributes in genetics-based machine learning
Genetic-Based Machine Learning Systems (GBML) are comparable in accuracy with other learning methods. However, efficiency is a significant drawback. This paper presents a new rep...
Jaume Bacardit, Natalio Krasnogor
ICS
2011
Tsinghua U.
14 years 10 months ago
Hystor: making the best use of solid state drives in high performance storage systems
With the fast technical improvement, flash memory based Solid State Drives (SSDs) are becoming an important part of the computer storage hierarchy to significantly improve perfo...
Feng Chen, David A. Koufaty, Xiaodong Zhang
INFOCOM
1998
IEEE
15 years 10 months ago
Demand-based Radio Network Planning of Cellular Mobile Communication Systems
: This paper presents a demand-based engineering method for designing radio networks of cellularmobile communicationsystems. The proposed procedure is based on a forward-engineerin...
Kurt Tutschku
ASPDAC
2006
ACM
105views Hardware» more  ASPDAC 2006»
16 years 16 days ago
Speed binning aware design methodology to improve profit under parameter variations
—Designing high-performance systems with high yield under parameter variations has raised serious design challenges in nanometer technologies. In this paper, we propose a profit-...
Animesh Datta, Swarup Bhunia, Jung Hwan Choi, Saib...
GLVLSI
2009
IEEE
142views VLSI» more  GLVLSI 2009»
15 years 10 months ago
Design tools for emerging technologies
The rapidly expanding diversity of technology available at the nanoscale is disrupting the existing transistorcentric microelectronics design paradigm, resulting in nearly decade-l...
Jacob White