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» Hiding Communication Latency in Data Parallel Applications
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CLOUD
2010
ACM
15 years 5 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...
107
Voted
APPT
2005
Springer
15 years 6 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
86
Voted
IPPS
2006
IEEE
15 years 6 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...
118
Voted
FTTCS
2006
132views more  FTTCS 2006»
15 years 16 days 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
85
Voted
CF
2004
ACM
15 years 6 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...