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» A Paradigm for Parallel Matrix Algorithms:
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IJCNN
2006
IEEE
15 years 5 months ago
Divide and Conquer Strategies for MLP Training
— Over time, neural networks have proven to be extremely powerful tools for data exploration with the capability to discover previously unknown dependencies and relationships in ...
Smriti Bhagat, Dipti Deodhare
NIPS
2004
15 years 11 days ago
Hierarchical Eigensolver for Transition Matrices in Spectral Methods
We show how to build hierarchical, reduced-rank representation for large stochastic matrices and use this representation to design an efficient algorithm for computing the largest...
Chakra Chennubhotla, Allan D. Jepson
CVPR
2012
IEEE
13 years 1 months ago
A theory of multi-layer flat refractive geometry
Flat refractive geometry corresponds to a perspective camera looking through single/multiple parallel flat refractive mediums. We show that the underlying geometry of rays corres...
Amit Agrawal, Srikumar Ramalingam, Yuichi Taguchi,...
ASPLOS
2010
ACM
14 years 10 months ago
Best-effort semantic document search on GPUs
Semantic indexing is a popular technique used to access and organize large amounts of unstructured text data. We describe an optimized implementation of semantic indexing and docu...
Surendra Byna, Jiayuan Meng, Anand Raghunathan, Sr...
ICDE
2011
IEEE
258views Database» more  ICDE 2011»
14 years 2 months ago
SystemML: Declarative machine learning on MapReduce
Abstract—MapReduce is emerging as a generic parallel programming paradigm for large clusters of machines. This trend combined with the growing need to run machine learning (ML) a...
Amol Ghoting, Rajasekar Krishnamurthy, Edwin P. D....