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» Optimizing the distribution of large data sets in theory and...
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ICDE
2012
IEEE
267views Database» more  ICDE 2012»
11 years 11 months ago
Scalable and Numerically Stable Descriptive Statistics in SystemML
—With the exponential growth in the amount of data that is being generated in recent years, there is a pressing need for applying machine learning algorithms to large data sets. ...
Yuanyuan Tian, Shirish Tatikonda, Berthold Reinwal...
ICDIM
2008
IEEE
14 years 3 months ago
A holographic associative memory recommender system
We describe a recommender system based on Dynamically Structured Holographic Memory (DSHM), a cognitive model of associative memory that uses holographic reduced representations a...
Matthew Rutledge-Taylor, Andre Vellino, Robert L. ...
BTW
2009
Springer
132views Database» more  BTW 2009»
14 years 9 days ago
End-to-End Performance Monitoring of Databases in Distributed Environments
: This demonstration features the IBM DB2 Performance Expert for Linux, Unix and Windows, a high-end database monitoring tool that is capable of end-to-end monitoring in distribute...
Stefanie Scherzinger, H. Karn, T. Steinbach
CCGRID
2010
IEEE
13 years 6 months ago
Dynamic Load-Balanced Multicast for Data-Intensive Applications on Clouds
Data-intensive parallel applications on clouds need to deploy large data sets from the cloud's storage facility to all compute nodes as fast as possible. Many multicast algori...
Tatsuhiro Chiba, Mathijs den Burger, Thilo Kielman...
ICS
2010
Tsinghua U.
13 years 11 months ago
InterferenceRemoval: removing interference of disk access for MPI programs through data replication
As the number of I/O-intensive MPI programs becomes increasingly large, many efforts have been made to improve I/O performance, on both software and architecture sides. On the sof...
Xuechen Zhang, Song Jiang