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» Hiding Communication Latency in Data Parallel Applications
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CLOUD
2010
ACM
15 years 8 months ago
Stateful bulk processing for incremental analytics
This work addresses the need for stateful dataflow programs that can rapidly sift through huge, evolving data sets. These data-intensive applications perform complex multi-step c...
Dionysios Logothetis, Christopher Olston, Benjamin...
APPT
2005
Springer
15 years 8 months ago
Principal Component Analysis for Distributed Data Sets with Updating
Identifying the patterns of large data sets is a key requirement in data mining. A powerful technique for this purpose is the principal component analysis (PCA). PCA-based clusteri...
Zheng-Jian Bai, Raymond H. Chan, Franklin T. Luk
IPPS
2006
IEEE
15 years 9 months ago
An overview of data aggregation architecture for real-time tracking with sensor networks
Abstract— Since sensor nodes normally have limited resources in terms of energy, bandwidth and computation capability, efficiency is a key design goal in sensor network research...
Tian He, Lin Gu, Liqian Luo, Ting Yan, John A. Sta...
FTTCS
2006
132views more  FTTCS 2006»
15 years 3 months ago
Algorithms and Data Structures for External Memory
Data sets in large applications are often too massive to fit completely inside the computer's internal memory. The resulting input/output communication (or I/O) between fast ...
Jeffrey Scott Vitter
104
Voted
CF
2004
ACM
15 years 8 months ago
MaRS: a macro-pipelined reconfigurable system
We introduce MaRS, a reconfigurable, parallel computing engine with special emphasis on scalability, lending itself to the computation-/data-intensive multimedia data processing a...
Nozar Tabrizi, Nader Bagherzadeh, Amir Hosein Kama...