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» Dynamic power management using machine learning
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113
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AMTA
2000
Springer
15 years 8 months ago
Oxygen: A Language Independent Linearization Engine
This paper describes a language independent linearization engine, oxyGen. This system compiles target language grammars into programs that take feature graphs as inputs and genera...
Nizar Habash
138
Voted
OSDI
2002
ACM
16 years 3 months ago
Vertigo: Automatic Performance-Setting for Linux
Combining high performance with low power consumption is becoming one of the primary objectives of processor designs. Instead of relying just on sleep mode for conserving power, a...
Krisztián Flautner, Trevor N. Mudge
137
Voted
ISCAS
2006
IEEE
133views Hardware» more  ISCAS 2006»
15 years 9 months ago
Neuronal ion-channel dynamics in silicon
Abstract— We present a simple silicon circuit for modelling voltagedependent ion channels found within neural cells, capturing both the gating particle’s sigmoidal activation (...
Kai M. Hynna, Kwabena Boahen
125
Voted
ITICSE
1999
ACM
15 years 8 months ago
A strategy for managing content complexity in algorithm animation
Computer animation is an excellent medium for capturing the dynamic nature of data structure manipulations, and can be used to advantage in the teaching of algorithms and data str...
Linda Stern, Harald Søndergaard, Lee Naish
145
Voted
OOPSLA
2010
Springer
15 years 2 months ago
Cross-language, type-safe, and transparent object sharing for co-located managed runtimes
As software becomes increasingly complex and difficult to analyze, it is more and more common for developers to use high-level, type-safe, object-oriented (OO) programming langua...
Michal Wegiel, Chandra Krintz