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BMCBI
2010
151views more  BMCBI 2010»
13 years 5 months ago
Data reduction for spectral clustering to analyze high throughput flow cytometry data
Background: Recent biological discoveries have shown that clustering large datasets is essential for better understanding biology in many areas. Spectral clustering in particular ...
Habil Zare, Parisa Shooshtari, Arvind Gupta, Ryan ...
ICCAD
2008
IEEE
98views Hardware» more  ICCAD 2008»
14 years 2 months ago
Scalable and scalably-verifiable sequential synthesis
This paper describes an efficient implementation of an effective sequential synthesis operation that uses induction to detect and merge sequentially-equivalent nodes. State-encodi...
Alan Mishchenko, Michael L. Case, Robert K. Brayto...
INFOCOM
2006
IEEE
13 years 11 months ago
Scalable Clustering of Internet Paths by Shared Congestion
— Internet paths sharing the same bottleneck can be identified using several shared congestion detection techniques. However, all of these techniques have been designed to detec...
Min Sik Kim, Taekhyun Kim, YongJune Shin, Simon S....
ICPP
2007
IEEE
13 years 11 months ago
Tempest: A portable tool to identify hot spots in parallel code
Compute clusters are consuming more power at higher densities than ever before. This results in increased thermal dissipation, the need for powerful cooling systems, and ultimatel...
Kirk W. Cameron, Hari K. Pyla, Srinidhi Varadaraja...
ICCS
2004
Springer
13 years 10 months ago
Parallel Importance Separation for Multiple Integrals and Integral Equations
In this paper we present error and performance analysis of a Monte Carlo variance reduction method for solving multidimensional integrals and integral equations. This method, calle...
Sofiya Ivanovska, Aneta Karaivanova