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MICRO
2010
IEEE
119views Hardware» more  MICRO 2010»
14 years 8 months ago
A Predictive Model for Dynamic Microarchitectural Adaptivity Control
Abstract--Adaptive microarchitectures are a promising solution for designing high-performance, power-efficient microprocessors. They offer the ability to tailor computational resou...
Christophe Dubach, Timothy M. Jones, Edwin V. Boni...
CHI
2006
ACM
15 years 10 months ago
Generating automated predictions of behavior strategically adapted to specific performance objectives
It has been well established in Cognitive Psychology that humans are able to strategically adapt performance, even highly skilled performance, to meet explicit task goals such as ...
Katherine Eng, Richard L. Lewis, Irene Tollinger, ...
82
Voted
CP
2006
Springer
15 years 1 months ago
Performance Prediction and Automated Tuning of Randomized and Parametric Algorithms
Abstract. Machine learning can be utilized to build models that predict the runtime of search algorithms for hard combinatorial problems. Such empirical hardness models have previo...
Frank Hutter, Youssef Hamadi, Holger H. Hoos, Kevi...
ESWA
2010
163views more  ESWA 2010»
14 years 8 months ago
REIT volatility prediction for skew-GED distribution of the GARCH model
This study investigates how specification of return distribution for REIT influences the performance of volatility forecasting using three GARCH models (GARCH-N, GARCH-ST and GARC...
Yen-Hsien Lee, Tung-Yueh Pai
SC
2004
ACM
15 years 3 months ago
Predicting and Evaluating Distributed Communication Performance
–Application of hardware-parameterized models to distributed systems can result in omission of key bottlenecks such as the full cost of inter- and intra-node communication in a c...
Kirk W. Cameron, Rong Ge