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AVI
2006
15 years 5 months ago
Input interactions and context component based modelisations: differences and similarities
Since several years, ubiquitous computing and pervasive computing has emerged and, in particular, context-aware computing. Using mobile devices, the context is perpetually evolvin...
Diane Lingrand, Michel Riveill
EUROPAR
2009
Springer
15 years 8 months ago
Distributed Data Partitioning for Heterogeneous Processors Based on Partial Estimation of Their Functional Performance Models
The paper presents a new data partitioning algorithm for parallel computing on heterogeneous processors. Like traditional functional partitioning algorithms, the algorithm assumes ...
Alexey L. Lastovetsky, Ravi Reddy
SC
2009
ACM
15 years 11 months ago
Kepler + Hadoop: a general architecture facilitating data-intensive applications in scientific workflow systems
MapReduce provides a parallel and scalable programming model for data-intensive business and scientific applications. MapReduce and its de facto open source project, called Hadoop...
Jianwu Wang, Daniel Crawl, Ilkay Altintas
TNN
2010
216views Management» more  TNN 2010»
14 years 10 months ago
Simplifying mixture models through function approximation
Finite mixture model is a powerful tool in many statistical learning problems. In this paper, we propose a general, structure-preserving approach to reduce its model complexity, w...
Kai Zhang, James T. Kwok
SIGSOFT
2005
ACM
16 years 4 months ago
Applying classification techniques to remotely-collected program execution data
There is an increasing interest in techniques that support measurement and analysis of fielded software systems. One of the main goals of these techniques is to better understand ...
Murali Haran, Alan F. Karr, Alessandro Orso, Adam ...