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» Statistical analysis of simulation output
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111
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ICCAD
1995
IEEE
88views Hardware» more  ICCAD 1995»
15 years 7 months ago
Estimation and bounding of energy consumption in burst-mode control circuits
This paper describes two techniques to quantify energy consumption of burst-modeasynchronous(clock-less)controlcircuits. The circuit specifications consideredare extended burst-m...
Peter A. Beerel, Kenneth Y. Yun, Steven M. Nowick,...
CGF
2010
106views more  CGF 2010»
15 years 3 months ago
Alleviating the Modifiable Areal Unit Problem within Probe-Based Geospatial Analyses
We present a probe-based interface for the exploration of the results of a geospatial simulation of urban growth. Because our interface allows the user great freedom in how they c...
Thomas Butkiewicz, Ross K. Meentemeyer, Douglas A....
128
Voted
TOG
2002
154views more  TOG 2002»
15 years 3 months ago
Image based flow visualization
A new method for the visualization of two-dimensional fluid flow is presented. The method is based on the advection and decay of dye. These processes are simulated by defining eac...
Jarke J. van Wijk
114
Voted
HPCA
2008
IEEE
16 years 4 months ago
Roughness of microarchitectural design topologies and its implications for optimization
Recent advances in statistical inference and machine learning close the divide between simulation and classical optimization, thereby enabling more rigorous and robust microarchit...
Benjamin C. Lee, David M. Brooks
126
Voted
NIPS
2001
15 years 5 months ago
The g Factor: Relating Distributions on Features to Distributions on Images
We describe the g-factor which relates probability distributions on image features to distributions on the images themselves. The g-factor depends only on our choice of features a...
James M. Coughlan, Alan L. Yuille