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» Simulation Optimization: Methods and Applications
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DAC
2009
ACM
16 years 6 months ago
Multicore parallel min-cost flow algorithm for CAD applications
Computational complexity has been the primary challenge of many VLSI CAD applications. The emerging multicore and manycore microprocessors have the potential to offer scalable perf...
Yinghai Lu, Hai Zhou, Li Shang, Xuan Zeng
165
Voted
IPPS
1997
IEEE
15 years 9 months ago
Enhancing Software DSM for Compiler-Parallelized Applications
Current parallelizing compilers for message-passing machines only support a limited class of data-parallel applications. One method for eliminating this restriction is to combine ...
Peter J. Keleher, Chau-Wen Tseng
148
Voted
DATE
2006
IEEE
128views Hardware» more  DATE 2006»
15 years 8 months ago
Platform-based design of wireless sensor networks for industrial applications
We present a methodology, an environment and supporting tools to map an application on a wireless sensor network (WSN). While the method is quite general, we use extensively an exa...
Alvise Bonivento, Luca P. Carloni, Alberto L. Sang...
NETWORKING
2008
15 years 6 months ago
On the Applicability of Knowledge Based NAT-Traversal for Home Networks
The presence of Network Address Translation (NAT) is a hindrance when accessing services within home networks, because NAT breaks the end-to-end connectivity model of the Internet ...
Andreas Müller, Andreas Klenk, Georg Carle
179
Voted
ICASSP
2011
IEEE
14 years 8 months ago
Application specific loss minimization using gradient boosting
Gradient boosting is a flexible machine learning technique that produces accurate predictions by combining many weak learners. In this work, we investigate its use in two applica...
Bin Zhang, Abhinav Sethy, Tara N. Sainath, Bhuvana...