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» Approximation Algorithms for Clustering Problems
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TNN
2010
176views Management» more  TNN 2010»
15 years 2 months ago
Sparse approximation through boosting for learning large scale kernel machines
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...
Ping Sun, Xin Yao
CHARME
1997
Springer
105views Hardware» more  CHARME 1997»
15 years 11 months ago
Simulation-based verification of network protocols performance
Formal verification techniques need to deal with the complexity of the systems rified. Most often, this problem is solved by taking an abstract model of the system and aiming at a...
Mario Baldi, Fulvio Corno, Maurizio Rebaudengo, Pa...
HPDC
2007
IEEE
16 years 1 months ago
A fast topology inference: a building block for network-aware parallel processing
Adapting to the network is the key to achieving high performance for communication-intensive applications, including scientific computing, data intensive computing, and multicast...
Tatsuya Shirai, Hideo Saito, Kenjiro Taura
IEEEPACT
2008
IEEE
16 years 2 months ago
Multi-mode energy management for multi-tier server clusters
This paper presents an energy management policy for reconfigurable clusters running a multi-tier application, exploiting DVS together with multiple sleep states. We develop a the...
Tibor Horvath, Kevin Skadron
KAIS
2011
129views more  KAIS 2011»
15 years 2 months ago
Counting triangles in real-world networks using projections
Triangle counting is an important problem in graph mining. Two frequently used metrics in complex network analysis which require the count of triangles are the clustering coefficie...
Charalampos E. Tsourakakis