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WSC
2007
15 years 1 months ago
Parallel cross-entropy optimization
The Cross-Entropy (CE) method is a modern and effective optimization method well suited to parallel implementations. There is a vast array of problems today, some of which are hig...
Gareth E. Evans, Jonathan M. Keith, Dirk P. Kroese
SIGMOD
2009
ACM
140views Database» more  SIGMOD 2009»
15 years 11 months ago
Distributed data-parallel computing using a high-level programming language
The Dryad and DryadLINQ systems offer a new programming model for large scale data-parallel computing. They generalize previous execution environments such as SQL and MapReduce in...
Michael Isard, Yuan Yu
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ATAL
2010
Springer
15 years 8 days ago
Distributed BDD-based BMC for the verification of multi-agent systems
We present a method of distributed model checking of multiagent systems specified by a branching-time temporal-epistemic logic. We introduce a serial algorithm, central to the dis...
Andrew V. Jones, Alessio Lomuscio
ASPLOS
2010
ACM
15 years 4 months ago
An asymmetric distributed shared memory model for heterogeneous parallel systems
Heterogeneous computing combines general purpose CPUs with accelerators to efficiently execute both sequential control-intensive and data-parallel phases of applications. Existin...
Isaac Gelado, Javier Cabezas, Nacho Navarro, John ...
ICCV
2005
IEEE
16 years 1 months ago
Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
Zhuowen Tu