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ASPDAC
2004
ACM
107views Hardware» more  ASPDAC 2004»
16 years 3 days ago
Fast, predictable and low energy memory references through architecture-aware compilation
The design of future high-performance embedded systems is hampered by two problems: First, the required hardware needs more energy than is available from batteries. Second, curren...
Peter Marwedel, Lars Wehmeyer, Manish Verma, Stefa...
MICAI
2004
Springer
16 years 18 hour ago
Extracting Temporal Patterns from Time Series Data Bases for Prediction of Electrical Demand
In this paper we present a technique for prediction of electrical demand based on multiple models. The multiple models are composed by several local models, each one describing a r...
J. Jesus Rico Melgoza, Juan J. Flores, Constantino...
CAEPIA
2003
Springer
15 years 12 months ago
Time-Series Prediction: Application to the Short-Term Electric Energy Demand
This paper describes a time-series prediction method based on the kNN technique. The proposed methodology is applied to the 24hour load forecasting problem. Also, based on recorded...
Alicia Troncoso Lora, Jesús Riquelme Santos...
ICCS
2003
Springer
15 years 12 months ago
A Performance Prediction Framework for Scientific Applications
This work presents a performance modeling framework, developed by the Performance Modeling and Characterization (PMaC) Lab at the San Diego Supercomputer Center, that is faster tha...
Laura Carrington, Allan Snavely, Xiaofeng Gao, Nic...
ICDM
2002
IEEE
131views Data Mining» more  ICDM 2002»
15 years 11 months ago
Using Sequential and Non-Sequential Patterns in Predictive Web Usage Mining Tasks
We describe an efficient framework for Web personalization based on sequential and non-sequential pattern discovery from usage data. Our experimental results performed on real us...
Bamshad Mobasher, Honghua Dai, Tao Luo, Miki Nakag...