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» Minimization and Partitioning Method Reducing Input Sets
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ASPDAC
2008
ACM
135views Hardware» more  ASPDAC 2008»
14 years 11 months ago
Temperature-aware MPSoC scheduling for reducing hot spots and gradients
Thermal hot spots and temperature gradients on the die need to be minimized to manufacture reliable systems while meeting energy and performance constraints. In this work, we solve...
Ayse Kivilcim Coskun, Tajana Simunic Rosing, Keith...
OSDI
2004
ACM
15 years 9 months ago
MapReduce: Simplified Data Processing on Large Clusters
MapReduce is a programming model and an associated implementation for processing and generating large data sets. Users specify a map function that processes a key/value pair to ge...
Jeffrey Dean, Sanjay Ghemawat
SIAMSC
2008
198views more  SIAMSC 2008»
14 years 9 months ago
Model Reduction for Large-Scale Systems with High-Dimensional Parametric Input Space
A model-constrained adaptive sampling methodology is proposed for reduction of large-scale systems with high-dimensional parametric input spaces. Our model reduction method uses a ...
T. Bui-Thanh, Karen Willcox, Omar Ghattas
ICPR
2008
IEEE
15 years 4 months ago
Watershed framework to region-based image segmentation
This paper proposes a new framework to image segmentation which combines edge- and region-based information with spectral techniques through the morphological algorithm of watersh...
Fernando Jorge Coutinho Monteiro, Aurélio C...
ATS
2003
IEEE
105views Hardware» more  ATS 2003»
15 years 2 months ago
Minimizing Defective Part Level Using a Linear Programming-Based Optimal Test Selection Method
Recent probabilistic test generation approaches have proven that detecting single stuck-at faults multiple times is effective at reducing the defective part level (DPL). Unfortuna...
Yuxin Tian, Michael R. Grimaila, Weiping Shi, M. R...