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DAC
2006
ACM
14 years 2 months ago
A fast on-chip decoupling capacitance budgeting algorithm using macromodeling and linear programming
We propose a novel and efficient charge-based decoupling capacitance budgeting algorithm. Our method uses the macromodeling technique and effective radius of decoupling capacitan...
Min Zhao, Rajendran Panda, Savithri Sundareswaran,...
JMLR
2006
99views more  JMLR 2006»
13 years 8 months ago
Worst-Case Analysis of Selective Sampling for Linear Classification
A selective sampling algorithm is a learning algorithm for classification that, based on the past observed data, decides whether to ask the label of each new instance to be classi...
Nicolò Cesa-Bianchi, Claudio Gentile, Luca ...
KDD
2009
ACM
194views Data Mining» more  KDD 2009»
14 years 9 months ago
Combining link and content for community detection: a discriminative approach
In this paper, we consider the problem of combining link and content analysis for community detection from networked data, such as paper citation networks and Word Wide Web. Most ...
Tianbao Yang, Rong Jin, Yun Chi, Shenghuo Zhu
DAC
2005
ACM
14 years 9 months ago
ICCAP: a linear time sparse transformation and reordering algorithm for 3D BEM capacitance extraction
This paper presents an efficient hierarchical 3D capacitance extraction algorithm -- ICCAP. Most previous capacitance extraction algorithms introduce intermediate variables to fac...
Rong Jiang, Yi-Hao Chang, Charlie Chung-Ping Chen
PC
2010
145views Management» more  PC 2010»
13 years 7 months ago
GPU computing with Kaczmarz's and other iterative algorithms for linear systems
The graphics processing unit (GPU) is used to solve large linear systems derived from partial differential equations. The differential equations studied are strongly convection-...
Joseph M. Elble, Nikolaos V. Sahinidis, Panagiotis...