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» Collecting Highly Parallel Data for Paraphrase Evaluation
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SSDBM
2010
IEEE
153views Database» more  SSDBM 2010»
14 years 2 months ago
Scalable Clustering Algorithm for N-Body Simulations in a Shared-Nothing Cluster
Abstract. Scientists’ ability to generate and collect massive-scale datasets is increasing. As a result, constraints in data analysis capability rather than limitations in the av...
YongChul Kwon, Dylan Nunley, Jeffrey P. Gardner, M...
SIGMOD
2009
ACM
136views Database» more  SIGMOD 2009»
14 years 9 months ago
A comparison of approaches to large-scale data analysis
There is currently considerable enthusiasm around the MapReduce (MR) paradigm for large-scale data analysis [17]. Although the basic control flow of this framework has existed in ...
Andrew Pavlo, Erik Paulson, Alexander Rasin, Danie...
ESCIENCE
2006
IEEE
14 years 3 months ago
A Middleware Framework for Maximum Likelihood Evaluation over Dynamic Grids
We have designed a maximum likelihood fitter using the actor model to distribute the computation over a heterogeneous network. The prototype implementation uses the SALSA program...
Wei-Jen Wang, Kaoutar El Maghraoui, John Cummings,...
TPDS
1998
112views more  TPDS 1998»
13 years 8 months ago
Parallel Computation in Biological Sequence Analysis
—A massive volume of biological sequence data is available in over 36 different databases worldwide, including the sequence data generated by the Human Genome project. These data...
Tieng K. Yap, Ophir Frieder, Robert L. Martino
CLUSTER
2008
IEEE
14 years 3 months ago
In search of sweet-spots in parallel performance monitoring
—Parallel performance monitoring extends parallel measurement systems with infrastructure and interfaces for online performance data access, communication, and analysis. At the s...
Aroon Nataraj, Allen D. Malony, Allen Morris, Dori...