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ISPAN
2005
IEEE
14 years 1 months ago
Process Scheduling for the Parallel Desktop
Commodity hardware and software are growing increasingly more complex, with advances such as chip heterogeneity and specialization, deeper memory hierarchies, ne-grained power ma...
Eitan Frachtenberg
SIGMOD
2008
ACM
193views Database» more  SIGMOD 2008»
14 years 7 months ago
ARCube: supporting ranking aggregate queries in partially materialized data cubes
Supporting ranking queries in database systems has been a popular research topic recently. However, there is a lack of study on supporting ranking queries in data warehouses where...
Tianyi Wu, Dong Xin, Jiawei Han
MOBISYS
2010
ACM
13 years 10 months ago
NAPman: network-assisted power management for wifi devices
WiFi radios in smart-phones consume a significant amount of power when active. The 802.11 standard allows these devices to save power through an energy-conserving Power Save Mode ...
Eric Rozner, Vishnu Navda, Ramachandran Ramjee, Sh...
KDD
2009
ACM
198views Data Mining» more  KDD 2009»
14 years 8 months ago
Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix data
All Netflix Prize algorithms proposed so far are prohibitively costly for large-scale production systems. In this paper, we describe an efficient dataflow implementation of a coll...
Srivatsava Daruru, Nena M. Marin, Matt Walker, Joy...
DAMON
2008
Springer
13 years 9 months ago
CAM conscious integrated answering of frequent elements and top-k queries over data streams
Frequent elements and top-k queries constitute an important class of queries for data stream analysis applications. Certain applications require answers for both frequent elements...
Sudipto Das, Divyakant Agrawal, Amr El Abbadi