Skip to search formSkip to main contentSkip to account menu

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… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2011
Highly Cited
2011
Much of the success of the Internet services model can be attributed to the popularity of a class of workloads that we call… 
Highly Cited
2011
Highly Cited
2011
The emergence of cost-effective cloud services offers organizations great opportunity to reduce their cost and increase… 
Highly Cited
2010
Highly Cited
2010
MapReduce and its variants have been highly successful in implementing large-scale data-intensive applications on commodity… 
Highly Cited
2010
Highly Cited
2010
Although there is tremendous interest in designing improved networks for data centers, very little is known about the network… 
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… 
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… 
Highly Cited
2003
Highly Cited
2003
We have designed and implemented the Google File System, a scalable distributed file system for large distributed data-intensive… 
Highly Cited
2002
Highly Cited
2002
In high-energy physics, bioinformatics, and other disciplines, we encounter applications involving numerous, loosely coupled jobs… 
Highly Cited
2001
Highly Cited
2001
An emerging class of data-intensive applications involve the geographically dispersed extraction of complex scientific… 
Review
1987
Review
1987
Object-oriented programming is well-suited to such data-intensive application domains as CAD/CAM, AI, and OIS (office information…