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ISPASS
2009
IEEE
14 years 4 months ago
Machine learning based online performance prediction for runtime parallelization and task scheduling
—With the emerging many-core paradigm, parallel programming must extend beyond its traditional realm of scientific applications. Converting existing sequential applications as w...
Jiangtian Li, Xiaosong Ma, Karan Singh, Martin Sch...
COREGRID
2007
Springer
14 years 3 months ago
Total Exchange Performance Prediction on Grid Environments
One of the most important collective communication patterns used in scientific applications is the complete exchange, also called All-to-All. Although efficient algorithms have b...
Luiz Angelo Steffenel, Emmanuel Jeannot
EUROPAR
2005
Springer
14 years 2 months ago
Performance Modeling: Understanding the Past and Predicting the Future
We present an overview of current research in performance modeling, focusing on efforts underway in the Performance Evaluation Research Center (PERC). Using some new techniques, w...
David H. Bailey, Allan Snavely
IWQOS
2001
Springer
14 years 1 months ago
On Creating Proportional Loss-Rate Differentiation: Predictability and Performance
— Recent extensions to the Internet architecture allow assignment of different levels of drop precedence to IP packets. This paper examines differentiation predictability and imp...
Ulf Bodin, Andreas Jonsson, Olov Schelén
ANLP
2000
109views more  ANLP 2000»
13 years 10 months ago
Predicting Automatic Speech Recognition Performance Using Prosodic Cues
In spoken dialogue systems, it is important for a system to know how likely a speech recognition hypothesis is to be correct, so it can reprompt for fresh input, or, in cases wher...
Diane J. Litman, Julia Hirschberg, Marc Swerts