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ICPP
2008
IEEE
15 years 6 months ago
Machine Learning Models to Predict Performance of Computer System Design Alternatives
Computer manufacturers spend a huge amount of time, resources, and money in designing new systems and newer configurations, and their ability to reduce costs, charge competitive p...
Berkin Özisikyilmaz, Gokhan Memik, Alok N. Ch...
IJCNN
2008
IEEE
15 years 6 months ago
Evolving a neural network using dyadic connections
—Since machine learning has become a tool to make more efficient design of sophisticated systems, we present in this paper a novel methodology to create powerful neural network ...
Andreas Huemer, Mario A. Góngora, David A. ...
ISCA
2008
IEEE
113views Hardware» more  ISCA 2008»
15 years 6 months ago
A Two-Level Load/Store Queue Based on Execution Locality
Multicore processors have emerged as a powerful platform on which to efficiently exploit thread-level parallelism (TLP). However, due to Amdahl’s Law, such designs will be incr...
Miquel Pericàs, Adrián Cristal, Fran...
ISPASS
2008
IEEE
15 years 6 months ago
Configurational Workload Characterization
Although the best processor design for executing a specific workload does depend on the characteristics of the workload, it can not be determined without factoring-in the effect o...
Hashem Hashemi Najaf-abadi, Eric Rotenberg
SP
2008
IEEE
176views Security Privacy» more  SP 2008»
15 years 6 months ago
Casting out Demons: Sanitizing Training Data for Anomaly Sensors
The efficacy of Anomaly Detection (AD) sensors depends heavily on the quality of the data used to train them. Artificial or contrived training data may not provide a realistic v...
Gabriela F. Cretu, Angelos Stavrou, Michael E. Loc...