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» Optimizing for parallelism and data locality
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DCOSS
2007
Springer
15 years 11 months ago
An Adaptive Scheduling Protocol for Multi-scale Sensor Network Architecture
In self-organizing networks of battery-powered wireless sensors that can sense, process, and communicate, energy is the most crucial and scarce resource. However, since sensor netw...
Santashil PalChaudhuri, David B. Johnson
NIPS
2008
15 years 6 months ago
Bayesian Kernel Shaping for Learning Control
In kernel-based regression learning, optimizing each kernel individually is useful when the data density, curvature of regression surfaces (or decision boundaries) or magnitude of...
Jo-Anne Ting, Mrinal Kalakrishnan, Sethu Vijayakum...
DATE
2003
IEEE
90views Hardware» more  DATE 2003»
15 years 10 months ago
Interactive Ray Tracing on Reconfigurable SIMD MorphoSys
MorphoSys is a reconfigurable SIMD architecture. In this paper, a BSP-based ray tracing is gracefully mapped onto MorphoSys. The mapping highly exploits ray-tracing parallelism. A...
Haitao Du, Marcos Sanchez-Elez, Nozar Tabrizi, Nad...
UAI
2003
15 years 6 months ago
Bayesian Hierarchical Mixtures of Experts
The Hierarchical Mixture of Experts (HME) is a well-known tree-structured model for regression and classification, based on soft probabilistic splits of the input space. In its o...
Christopher M. Bishop, Markus Svensén
CORR
2010
Springer
205views Education» more  CORR 2010»
15 years 5 months ago
Behavioral Simulations in MapReduce
In many scientific domains, researchers are turning to large-scale behavioral simulations to better understand real-world phenomena. While there has been a great deal of work on s...
Guozhang Wang, Marcos Antonio Vaz Salles, Benjamin...