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» MapReduce: Simplified Data Processing on Large Clusters
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IHI
2010
198views Healthcare» more  IHI 2010»
13 years 2 months ago
Large-scale multimodal mining for healthcare with mapreduce
Recent advances in healthcare and bioscience technologies and proliferation of portable medical devices are producing massive amounts of multimodal data. The need for parallel pro...
Fei Wang, Vuk Ercegovac, Tanveer Fathima Syeda-Mah...
EUROPAR
2005
Springer
14 years 1 months ago
PerfMiner: Cluster-Wide Collection, Storage and Presentation of Application Level Hardware Performance Data
Abstract. We present PerfMiner, a system for the transparent collection, storage and presentation of thread-level hardware performance data across an entire cluster. Every sub-proc...
Philip Mucci, Daniel Ahlin, Johan Danielsson, Per ...
ICS
2010
Tsinghua U.
13 years 10 months ago
Clustering performance data efficiently at massive scales
Existing supercomputers have hundreds of thousands of processor cores, and future systems may have hundreds of millions. Developers need detailed performance measurements to tune ...
Todd Gamblin, Bronis R. de Supinski, Martin Schulz...
ICIP
2001
IEEE
14 years 9 months ago
Video similarity detection with video signature clustering
The proliferation of video content on the web makes similarity detection an indispensable tool in web data management, searching, and navigation. We have previously proposed a com...
Sen-Ching S. Cheung, Avideh Zakhor
IPPS
2003
IEEE
14 years 1 months ago
Quantifying Locality Effect in Data Access Delay: Memory logP
The application of hardware-parameterized models to distributed systems can result in omission of key bottlenecks such as the full cost of inter-node communication in a shared mem...
Kirk W. Cameron, Xian-He Sun