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» Scalable, Parallel, Scientific Databases
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MICRO
2010
IEEE
153views Hardware» more  MICRO 2010»
13 years 5 months ago
Scalable Speculative Parallelization on Commodity Clusters
While clusters of commodity servers and switches are the most popular form of large-scale parallel computers, many programs are not easily parallelized for execution upon them. In...
Hanjun Kim, Arun Raman, Feng Liu, Jae W. Lee, Davi...
ICWS
2009
IEEE
13 years 5 months ago
A MapReduce-Enabled Scientific Workflow Composition Framework
MapReduce has recently gained a lot of attention as a parallel programming model for scalable data-intensive business and scientific analysis. In order to benefit from this powerf...
Xubo Fei, Shiyong Lu, Cui Lin
HIPC
2000
Springer
13 years 11 months ago
Meta-data Management System for High-Performance Large-Scale Scientific Data Access
Many scientific applications manipulate large amount of data and, therefore, are parallelized on high-performance computing systems to take advantage of their computational power a...
Wei-keng Liao, Xiaohui Shen, Alok N. Choudhary
USENIX
2008
13 years 10 months ago
A Comparative Experimental Study of Parallel File Systems for Large-Scale Data Processing
Large-scale scientific and business applications require data processing of ever-increasing amounts of data, fueling a demand for scalable parallel file systems comprising hundred...
Zoe Sebepou, Kostas Magoutis, Manolis Marazakis, A...
ICDE
2009
IEEE
290views Database» more  ICDE 2009»
14 years 9 months ago
GraphSig: A Scalable Approach to Mining Significant Subgraphs in Large Graph Databases
Graphs are being increasingly used to model a wide range of scientific data. Such widespread usage of graphs has generated considerable interest in mining patterns from graph datab...
Sayan Ranu, Ambuj K. Singh