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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… 
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Related topics

Related topics

28 relations
Apache HadoopApache HiveBig dataC++

Broader (1)

Parallel computing

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2012
2012
Cloud Computing: Data-Intensive Computing and Scheduling
As more and more data is generated at a faster-than-ever rate, processing large volumes of data is becoming a challenge for data… 
Highly Cited
2011
Highly Cited
2011
Comparing High Level MapReduce Query Languages
The MapReduce parallel computational model is of increasing importance. A number of High Level Query Languages (HLQLs) have been… 
Highly Cited
2006
Highly Cited
2006
A software architecture-based framework for highly distributed and data intensive scientific applications
Modern scientific research is increasingly conducted by virtual communities of scientists distributed around the world. The data… 
Highly Cited
2005
Highly Cited
2005
Novel mediator architectures for Grid information systems
Highly Cited
2002
Highly Cited
2002
OFDM: Back to the Wireless Future
The key limitation for wireless technologies has been slow transmission rates that didn't come close to providing the… 
Highly Cited
2002
Highly Cited
2002
Multiversion Data Broadcast
Recently, broadcasting has attracted considerable attention as a means of disseminating information to large client populations… 
Highly Cited
2000
Highly Cited
2000
Integrating Database and Dialogue Design
Abstract. The user interface of data-intensive information systems may be described as a collection of semi-independent dialogues… 
1999
1999
Intelligent mobile agents: towards network fault management automation
Mobile agents, equipped with intelligence, provide a relatively new technology that will help automate network management… 
Highly Cited
1996
Highly Cited
1996
Module assignment for low power
We investigate the problem of minimizing the total power consumption during the binding of operations to functional units in a… 
Highly Cited
1990
Highly Cited
1990
Enhancing Performance in a Persistent Object Store: Clustering Strategies in O2
We address the problem of clustering complex data on disk to minimize the number of I/O operations in data intensive applications… 
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