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» Large-Scale Parallel Data Clustering
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PLDI
2010
ACM
15 years 2 months ago
Bamboo: a data-centric, object-oriented approach to many-core software
Traditional data-oriented programming languages such as dataflow s and stream languages provide a natural abstraction for parallel programming. In these languages, a developer fo...
Jin Zhou, Brian Demsky
SIGMOD
2010
ACM
321views Database» more  SIGMOD 2010»
15 years 2 months ago
HadoopDB in action: building real world applications
HadoopDB is a hybrid of MapReduce and DBMS technologies, designed to meet the growing demand of analyzing massive datasets on very large clusters of machines. Our previous work ha...
Azza Abouzied, Kamil Bajda-Pawlikowski, Jiewen Hua...
IHI
2010
198views Healthcare» more  IHI 2010»
14 years 4 months ago
Large-scale multimodal mining for healthcare with mapreduce
Recent advances in healthcare and bioscience technologies and proliferation of portable medical devices are producing massive amounts of multimodal data. The need for parallel pro...
Fei Wang, Vuk Ercegovac, Tanveer Fathima Syeda-Mah...
ESCIENCE
2007
IEEE
15 years 4 months ago
Distributed and Generic Maximum Likelihood Evaluation
This paper presents GMLE 1 , a generic and distributed framework for maximum likelihood evaluation. GMLE is currently being applied to astroinformatics for determining the shape o...
Travis J. Desell, Nathan Cole, Malik Magdon-Ismail...
HPDC
2010
IEEE
14 years 11 months ago
Comparison of resource platform selection approaches for scientific workflows
Cloud computing is increasingly considered as an additional computational resource platform for scientific workflows. The cloud offers opportunity to scale-out applications from d...
Yogesh L. Simmhan, Lavanya Ramakrishnan