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» Simulated Annealing for Convex Optimization
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140
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CISS
2008
IEEE
15 years 10 months ago
Near optimal lossy source coding and compression-based denoising via Markov chain Monte Carlo
— We propose an implementable new universal lossy source coding algorithm. The new algorithm utilizes two wellknown tools from statistical physics and computer science: Gibbs sam...
Shirin Jalali, Tsachy Weissman
125
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ASPDAC
2007
ACM
110views Hardware» more  ASPDAC 2007»
15 years 7 months ago
Fast Placement Optimization of Power Supply Pads
Power grid networks in VLSI circuits are required to provide adequate input supply to ensure reliable performance. In this paper, we propose algorithms to find the placement of pow...
Yu Zhong, Martin D. F. Wong
121
Voted
BIOINFORMATICS
2007
76views more  BIOINFORMATICS 2007»
15 years 3 months ago
Optimization of primer design for the detection of variable genomic lesions in cancer
Primer approximation multiplex PCR (PAMP) is a new experimental protocol for efficiently assaying structural variation in genomes. PAMP is particularly suited to cancer genomes w...
Ali Bashir, Yu-Tsueng Liu, Benjamin J. Raphael, De...
HIPC
2009
Springer
15 years 1 months ago
Optimizing the use of GPU memory in applications with large data sets
Abstract--With General Purpose programmable GPUs becoming more and more popular, automated tools are needed to bridge the gap between achievable performance from highly parallel ar...
Nadathur Satish, Narayanan Sundaram, Kurt Keutzer
129
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ASPDAC
2000
ACM
154views Hardware» more  ASPDAC 2000»
15 years 8 months ago
Dynamic weighting Monte Carlo for constrained floorplan designs in mixed signal application
Simulated annealing has been one of the most popular stochastic optimization methods used in the VLSI CAD field in the past two decades for handling NP-hard optimization problems...
Jason Cong, Tianming Kong, Faming Liang, Jun S. Li...