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» Dynamic feature selection for hardware prediction
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102
Voted
ISCA
2008
IEEE
92views Hardware» more  ISCA 2008»
15 years 10 months ago
Counting Dependence Predictors
Modern processors rely on memory dependence prediction to execute load instructions as early as possible, speculating that they are not dependent on an earlier, unissued store. To...
Franziska Roesner, Doug Burger, Stephen W. Keckler
122
Voted
IWMM
2004
Springer
98views Hardware» more  IWMM 2004»
15 years 8 months ago
Dynamic object sampling for pretenuring
Many state-of-the-art garbage collectors are generational, collecting the young nursery objects more frequently than old objects. These collectors perform well because young objec...
Maria Jump, Stephen M. Blackburn, Kathryn S. McKin...
137
Voted
DATE
2007
IEEE
95views Hardware» more  DATE 2007»
15 years 9 months ago
Memory bank aware dynamic loop scheduling
In a parallel system with multiple CPUs, one of the key problems is to assign loop iterations to processors. This problem, known as the loop scheduling problem, has been studied i...
Mahmut T. Kandemir, Taylan Yemliha, Seung Woo Son,...
CEC
2005
IEEE
15 years 9 months ago
CasGP: building cascaded hierarchical models using niching
— A Cascaded model is introduced for mining large datasets using Genetic Programming without recourse to specialist hardware. Such an algorithm satisfies the seeming conflictin...
Peter Lichodzijewski, Malcolm I. Heywood, A. Nur Z...
118
Voted
ICPR
2010
IEEE
15 years 10 months ago
Discrimination of Moderate and Acute Drowsiness Based on Spontaneous Facial Expressions
It is important for drowsiness detection systems to warn the driver before the critical stages of drowsiness arise and thus to provide sufficient intervention time for the driver...
Esra Vural, Marian Stewart Bartlett, Gwen Littlewo...