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ICS
2001
Tsinghua U.
14 years 1 months ago
Global optimization techniques for automatic parallelization of hybrid applications
This paper presents a novel technique to perform global optimization of communication and preprocessing calls in the presence of array accesses with arbitrary subscripts. Our sche...
Dhruva R. Chakrabarti, Prithviraj Banerjee
VLSID
2008
IEEE
191views VLSI» more  VLSID 2008»
14 years 3 months ago
Programming and Performance Modelling of Automotive ECU Networks
The last decade has seen a phenomenal increase in the use of electronic components in automotive systems, resulting in the replacement of purely mechanical or hydraulic-implementa...
Samarjit Chakraborty, Sethu Ramesh
NECO
2007
129views more  NECO 2007»
13 years 8 months ago
Variational Bayes Solution of Linear Neural Networks and Its Generalization Performance
It is well-known that, in unidentifiable models, the Bayes estimation provides much better generalization performance than the maximum likelihood (ML) estimation. However, its ac...
Shinichi Nakajima, Sumio Watanabe
PPOPP
2012
ACM
12 years 4 months ago
Massively parallel breadth first search using a tree-structured memory model
Analysis of massive graphs has emerged as an important area for massively parallel computation. In this paper, it is shown how the Fresh Breeze trees-of-chunks memory model may be...
Tom St. John, Jack B. Dennis, Guang R. Gao
ICDE
2010
IEEE
227views Database» more  ICDE 2010»
14 years 3 months ago
Incorporating partitioning and parallel plans into the SCOPE optimizer
— Massive data analysis on large clusters presents new opportunities and challenges for query optimization. Data partitioning is crucial to performance in this environment. Howev...
Jingren Zhou, Per-Åke Larson, Ronnie Chaiken