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» Challenges for Data Mining in Distributed Sensor Networks
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SIGCOMM
2012
ACM
11 years 10 months ago
Finishing flows quickly with preemptive scheduling
Today’s data centers face extreme challenges in providing low latency. However, fair sharing, a principle commonly adopted in current congestion control protocols, is far from o...
Chi-Yao Hong, Matthew Caesar, Brighten Godfrey
DATE
2010
IEEE
154views Hardware» more  DATE 2010»
14 years 18 days ago
ERSA: Error Resilient System Architecture for probabilistic applications
There is a growing concern about the increasing vulnerability of future computing systems to errors in the underlying hardware. Traditional redundancy techniques are expensive for...
Larkhoon Leem, Hyungmin Cho, Jason Bau, Quinn A. J...
TIT
2010
138views Education» more  TIT 2010»
13 years 2 months ago
Functional compression through graph coloring
Motivated by applications to sensor networks and privacy preserving databases, we consider the problem of functional compression. The objective is to separately compress possibly c...
Vishal Doshi, Devavrat Shah, Muriel Médard,...
SIGMOD
2010
ACM
324views Database» more  SIGMOD 2010»
14 years 9 days ago
Similarity search and locality sensitive hashing using ternary content addressable memories
Similarity search methods are widely used as kernels in various data mining and machine learning applications including those in computational biology, web search/clustering. Near...
Rajendra Shinde, Ashish Goel, Pankaj Gupta, Debojy...
ICS
2010
Tsinghua U.
14 years 8 days ago
Large-scale FFT on GPU clusters
A GPU cluster is a cluster equipped with GPU devices. Excellent acceleration is achievable for computation-intensive tasks (e.g. matrix multiplication and LINPACK) and bandwidth-i...
Yifeng Chen, Xiang Cui, Hong Mei