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Data-intensive computing

Known as: Data-intensive research, Data intensive, Data-intensive tasks 
Data-intensive computing is a class of parallel computing applications which use a data parallel approach to processing large volumes of data… Expand
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Papers overview

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Review
2019
Review
2019
The quest of `can machines think' and `can machines do what human do' are quests that drive the development of artificial… Expand
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Review
2018
Review
2018
This article presents an up-to-date tutorial review of nonlinear Bayesian estimation. State estimation for nonlinear systems has… Expand
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Review
2017
Review
2017
ABSTRACT Digital Earth has seen great progress during the last 19 years. When it entered into the era of big data, Digital Earth… Expand
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Highly Cited
2013
Highly Cited
2013
Recently, the computational requirements for large-scale data-intensive analysis of scientific data have grown significantly. In… Expand
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Highly Cited
2011
Highly Cited
2011
Hyracks is a new partitioned-parallel software platform designed to run data-intensive computations on large shared-nothing… Expand
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Highly Cited
2010
Highly Cited
2010
MapReduce and its variants have been highly successful in implementing large-scale data-intensive applications on commodity… Expand
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Highly Cited
2009
Highly Cited
2009
This presentation will set out the eScience agenda by explaining the current scientific data deluge and the case for a “Fourth… Expand
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Highly Cited
2009
Highly Cited
2009
This paper addresses the problem of scheduling concurrent jobs on clusters where application data is stored on the computing… Expand
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Highly Cited
2009
Highly Cited
2009
Through the development of new classes of software, algorithms, and hardware, data-intensive applications provide timely and… Expand
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Highly Cited
2002
Highly Cited
2002
In high-energy physics, bioinformatics, and other disciplines, we encounter applications involving numerous, loosely coupled jobs… Expand
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