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ICPP
2006
IEEE
16 years 1 months ago
Performance Modeling based on Multidimensional Surface Learning for Performance Predictions of Parallel Applications in Non-Dedi
Modeling the performance behavior of parallel applications to predict the execution times of the applications for larger problem sizes and number of processors has been an active ...
Jay Yagnik, H. A. Sanjay, Sathish S. Vadhiyar
ICCV
2005
IEEE
16 years 18 days ago
Learning Models for Predicting Recognition Performance
This paper addresses one of the fundamental problems encountered in performance prediction for object recognition. In particular we address the problems related to estimation of s...
Rong Wang, Bir Bhanu
205
Voted
ISPAN
2005
IEEE
16 years 18 days ago
A Scalable Method for Predicting Network Performance in Heterogeneous Clusters
An important requirement for the effective scheduling of parallel applications on large heterogeneous clusters is a current view of system resource availability. Maintaining such ...
Dimitrios Katramatos, Steve J. Chapin
209
Voted
DMIN
2006
122views Data Mining» more  DMIN 2006»
15 years 8 months ago
Cost-Sensitive Analysis in Multiple Time Series Prediction
- In this paper we propose a new methodology for Cost-Benefit analysis in a multiple time series prediction problem. The proposed model is evaluated in a real world application bas...
Chamila Walgampaya, Mehmed M. Kantardzic
ICS
2009
Tsinghua U.
15 years 4 months ago
Creating artificial global history to improve branch prediction accuracy
Modern processors require highly accurate branch prediction for good performance. As such, a number of branch predictors have been proposed with varying size and complexity. This ...
Leo Porter, Dean M. Tullsen