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… (More)
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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… (More)
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Highly Cited
2013
Highly Cited
2013
This paper introduces a 3D-stacked logic-in-memory (LiM) system that integrates the 3D die-stacked DRAM architecture with the… (More)
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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… (More)
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Highly Cited
2011
Highly Cited
2011
The emergence of cost-effective cloud services offers organizations great opportunity to reduce their cost and increase… (More)
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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… (More)
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Highly Cited
2002
Highly Cited
2002
The Grid Datafarm (Gfarm) architecture is designed for global petascale data-intensive computing. It provides a global parallel… (More)
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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… (More)
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Highly Cited
2001
Highly Cited
2001
An emerging class of data-intensive applications involve the geographically dispersed extraction of complex scientific… (More)
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1998
1998
Computational science is expanding to include not only analyses based on simulations but those requiring manipulation of large… (More)
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1998
1998
A sudoku egy japán játék, mely célja, hogy számokat helyezzen el egy négy-zetrácsban úgy, hogy bizonyos szabályoknak eleget… (More)
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