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» Process variation dimension reduction based on SVD
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ICCAD
2006
IEEE
147views Hardware» more  ICCAD 2006»
14 years 4 months ago
Analysis and modeling of CD variation for statistical static timing
Statistical static timing analysis (SSTA) has become a key method for analyzing the effect of process variation in aggressively scaled CMOS technologies. Much research has focused...
Brian Cline, Kaviraj Chopra, David Blaauw, Yu Cao
DAC
2006
ACM
14 years 8 months ago
Standard cell characterization considering lithography induced variations
As VLSI technology scales toward 65nm and beyond, both timing and power performance of integrated circuits are increasingly affected by process variations. In practice, people oft...
Ke Cao, Sorin Dobre, Jiang Hu
IUI
2010
ACM
13 years 10 months ago
Finding your way in a multi-dimensional semantic space with luminoso
We present Luminoso, a tool that helps researchers to visualize and understand a dimensionality-reduced semantic space by exploring it interactively. It also streamlines the proce...
Robert Speer, Catherine Havasi, K. Nichole Treadwa...
AIPR
2003
IEEE
14 years 1 months ago
Band Selection Using Independent Component Analysis for Hyperspectral Image Processing
Although hyperspectral images provide abundant information about objects, their high dimensionality also substantially increases computational burden. Dimensionality reduction off...
Hongtao Du, Hairong Qi, Xiaoling Wang, Rajeev Rama...
WCNC
2008
IEEE
14 years 2 months ago
Neural Network-Based Approach for Adaptive Density Control and Reliability in Wireless Sensor Networks
A primary constraint in wireless sensor networks (WSNs) is obtaining reliable and prolonged network operation with power-limited sensor nodes. Most of the approaches to the energy ...
Renita Machado, Sirin Tekinay