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VLSID
2006
IEEE
112views VLSI» more  VLSID 2006»
15 years 9 months ago
Handling Constraints in Multi-Objective GA for Embedded System Design
Design space exploration is central to embedded system design. Typically this is a multi-objective search problem, where performance, power, area etc. are the different optimizati...
Biman Chakraborty, Ting Chen, Tulika Mitra, Abhik ...
FLAIRS
2008
15 years 5 months ago
Using Genetic Programming to Increase Rule Quality
Rule extraction is a technique aimed at transforming highly accurate opaque models like neural networks into comprehensible models without losing accuracy. G-REX is a rule extract...
Rikard König, Ulf Johansson, Lars Niklasson
ICSE
2009
IEEE-ACM
16 years 3 months ago
Automatically finding patches using genetic programming
Automatic repair of programs has been a longstanding goal in software engineering, yet debugging remains a largely manual process. We introduce a fully automated method for locati...
Westley Weimer, ThanhVu Nguyen, Claire Le Goues, S...
ECRTS
2005
IEEE
15 years 8 months ago
Cache Contents Selection for Statically-Locked Instruction Caches: An Algorithm Comparison
Cache memories have been extensively used to bridge the gap between high speed processors and relatively slower main memories. However, they are sources of predictability problems...
Antonio Martí Campoy, Isabelle Puaut, Angel...
HIPEAC
2005
Springer
15 years 8 months ago
Power Aware External Bus Arbitration for System-on-a-Chip Embedded Systems
Abstract. Power efficiency has become a key design trade-off in embedded system designs. For system-on-a-chip embedded systems, an external bus interconnects embedded processor co...
Ke Ning, David R. Kaeli