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» Accelerating Large Data Analysis by Exploiting Regularities
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OSDI
2008
ACM
15 years 10 months ago
HiLighter: Automatically Building Robust Signatures of Performance Behavior for Small- and Large-Scale Systems
Previous work showed that statistical analysis techniques could successfully be used to construct compact signatures of distinct operational problems in Internet server systems. B...
Armando Fox, Moisés Goldszmidt, Peter Bod&i...
CCGRID
2011
IEEE
14 years 1 months ago
Small Discrete Fourier Transforms on GPUs
– Efficient implementations of the Discrete Fourier Transform (DFT) for GPUs provide good performance with large data sizes, but are not competitive with CPU code for small data ...
S. Mitra, A. Srinivasan
FAST
2007
14 years 11 months ago
Failure Trends in a Large Disk Drive Population
It is estimated that over 90% of all new information produced in the world is being stored on magnetic media, most of it on hard disk drives. Despite their importance, there is re...
Eduardo Pinheiro, Wolf-Dietrich Weber, Luiz Andr&e...
ICCV
2009
IEEE
16 years 2 months ago
Domain Adaptive Semantic Diffusion for Large Scale Context-Based Video Annotation
Learning to cope with domain change has been known as a challenging problem in many real-world applications. This paper proposes a novel and efficient approach, named domain ada...
Yu-Gang Jiang, Jun Wang, Shih-Fu Chang, Chong-Wah ...
VLDB
2004
ACM
119views Database» more  VLDB 2004»
15 years 10 months ago
Evaluating holistic aggregators efficiently for very large datasets
Indatawarehousingapplications,numerousOLAP queries involve the processing of holistic aggregators such as computing the "top n," median, quantiles, etc. In this paper, we...
Lixin Fu, Sanguthevar Rajasekaran