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» Multiply-constrained distributed constraint optimization
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EMO
2009
Springer
174views Optimization» more  EMO 2009»
15 years 9 months ago
Constraint Programming
To model combinatorial decision problems involving uncertainty and probability, we introduce stochastic constraint programming. Stochastic constraint programs contain both decision...
Pascal Van Hentenryck
IPPS
2010
IEEE
15 years 1 months ago
A distributed diffusive heuristic for clustering a virtual P2P supercomputer
Abstract--For the management of a virtual P2P supercomputer one is interested in subgroups of processors that can communicate with each other efficiently. The task of finding these...
Joachim Gehweiler, Henning Meyerhenke
CAV
2010
Springer
194views Hardware» more  CAV 2010»
15 years 7 months ago
LTSmin: Distributed and Symbolic Reachability
ions of ODE models (MAPLE, GNA). On the algorithmic side (Sec. 3.2), it supports two main streams in high-performance model checking: reachability analysis based on BDDs (symbolic)...
Stefan Blom, Jaco van de Pol, Michael Weber
DAC
2006
ACM
16 years 4 months ago
An efficient and versatile scheduling algorithm based on SDC formulation
Scheduling plays a central role in the behavioral synthesis process, which automatically compiles high-level specifications into optimized hardware implementations. However, most ...
Jason Cong, Zhiru Zhang
ICC
2007
IEEE
150views Communications» more  ICC 2007»
15 years 9 months ago
Capacity-Achieving Discrete Signaling over Additive Noise Channels
— Discrete input distributions are capacity-achieving for a variety of noise distributions whenever the input is subject to peak power or other bounding constraints. In this pape...
Anke Feiten, Rudolf Mathar