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» Improving Data Locality by Chunking
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106
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IPPS
2010
IEEE
14 years 9 months ago
Improving MapReduce performance through data placement in heterogeneous Hadoop clusters
MapReduce has become an important distributed processing model for large-scale data-intensive applications like data mining and web indexing. Hadoop
Jiong Xie, Shu Yin, Xiaojun Ruan, Zhiyang Ding, Yu...
111
Voted
ICML
2008
IEEE
16 years 14 days ago
A unified architecture for natural language processing: deep neural networks with multitask learning
We describe a single convolutional neural network architecture that, given a sentence, outputs a host of language processing predictions: part-of-speech tags, chunks, named entity...
Ronan Collobert, Jason Weston
ICDCS
2009
IEEE
15 years 8 months ago
ISP Friend or Foe? Making P2P Live Streaming ISP-Aware
Abstract: Current peer-to-peer systems are network-agnostic, often generating large volumes of unnecessary inter-ISP traffic. Although recent work has shown the benefits of ISP-a...
Fabio Picconi, Laurent Massoulié
JDWM
2006
178views more  JDWM 2006»
14 years 11 months ago
Improved Data Partitioning for Building Large ROLAP Data Cubes in Parallel
The pre-computation of data cubes is critical to improving the response time of On-Line Analytical Processing (OLAP) systems and can be instrumental in accelerating data mining ta...
Ying Chen, Frank K. H. A. Dehne, Todd Eavis, Andre...
88
Voted
POPL
1995
ACM
15 years 3 months ago
Total Correctness by Local Improvement in Program Transformation
The goal of program transformation is to improve efficiency while preserving meaning. One of the best known transformation techniques is Burstall and Darlington’s unfold-fold me...
David Sands