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» Accelerating Large Data Analysis by Exploiting Regularities
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PVLDB
2008
160views more  PVLDB 2008»
14 years 9 months ago
BayesStore: managing large, uncertain data repositories with probabilistic graphical models
Several real-world applications need to effectively manage and reason about large amounts of data that are inherently uncertain. For instance, pervasive computing applications mus...
Daisy Zhe Wang, Eirinaios Michelakis, Minos N. Gar...
SODA
2008
ACM
110views Algorithms» more  SODA 2008»
14 years 11 months ago
Why simple hash functions work: exploiting the entropy in a data stream
Hashing is fundamental to many algorithms and data structures widely used in practice. For theoretical analysis of hashing, there have been two main approaches. First, one can ass...
Michael Mitzenmacher, Salil P. Vadhan
ICDE
2012
IEEE
224views Database» more  ICDE 2012»
13 years 7 days ago
Exploiting Common Subexpressions for Cloud Query Processing
—Many companies now routinely run massive data analysis jobs – expressed in some scripting language – on large clusters of low-end servers. Many analysis scripts are complex ...
Yasin N. Silva, Paul-Ake Larson, Jingren Zhou
ISPASS
2008
IEEE
15 years 4 months ago
Pinpointing and Exploiting Opportunities for Enhancing Data Reuse
—The potential for improving the performance of data-intensive scientific programs by enhancing data reuse in cache is substantial because CPUs are significantly faster than me...
Gabriel Marin, John M. Mellor-Crummey
BMCBI
2010
109views more  BMCBI 2010»
14 years 10 months ago
FPGA acceleration of the phylogenetic likelihood function for Bayesian MCMC inference methods
Background: Likelihood (ML)-based phylogenetic inference has become a popular method for estimating the evolutionary relationships among species based on genomic sequence data. Th...
Stephanie Zierke, Jason D. Bakos