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» Clustering performance data efficiently at massive scales
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120
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HPDC
2010
IEEE
15 years 24 days ago
A GPU accelerated storage system
Massively multicore processors, like, for example, Graphics Processing Units (GPUs), provide, at a comparable price, a one order of magnitude higher peak performance than traditio...
Abdullah Gharaibeh, Samer Al-Kiswany, Sathish Gopa...
93
Voted
NSDI
2010
15 years 2 months ago
ElasticTree: Saving Energy in Data Center Networks
Networks are a shared resource connecting critical IT infrastructure, and the general practice is to always leave them on. Yet, meaningful energy savings can result from improving...
Brandon Heller, Srinivasan Seetharaman, Priya Maha...
108
Voted
COMCOM
2007
168views more  COMCOM 2007»
15 years 17 days ago
An efficient cluster-based multi-channel management protocol for wireless Ad Hoc networks
—In Ad Hoc networking, cluster-based communication protocol can reduce large amount of flooding packets in route establishment process. However, the 802.11 medium access control ...
Gwo-Jong Yu, Chih-Yung Chang
145
Voted
BMCBI
2006
374views more  BMCBI 2006»
15 years 19 days ago
AMDA: an R package for the automated microarray data analysis
Background: Microarrays are routinely used to assess mRNA transcript levels on a genome-wide scale. Large amount of microarray datasets are now available in several databases, and...
Mattia Pelizzola, Norman Pavelka, Maria Foti, Paol...
117
Voted
SBBD
2004
89views Database» more  SBBD 2004»
15 years 1 months ago
DBM-Tree: A Dynamic Metric Access Method Sensitive to Local Density Data
Metric Access Methods (MAM) are employed to accelerate the processing of similarity queries, such as the range and the k-nearest neighbor queries. Current methods improve the quer...
Marcos R. Vieira, Caetano Traina Jr., Fabio Jun Ta...