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» Dynamic Data Driven Simulations in Stochastic Environments
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IPPS
2010
IEEE
13 years 5 months ago
Parallelization of tau-leap coarse-grained Monte Carlo simulations on GPUs
The Coarse-Grained Monte Carlo (CGMC) method is a multi-scale stochastic mathematical and simulation framework for spatially distributed systems. CGMC simulations are important too...
Lifan Xu, Michela Taufer, Stuart Collins, Dionisio...
WSC
2004
13 years 9 months ago
A Near Optimal Approach to Quality of Service Data Replication Scheduling
This paper describes an approach to real-time decisionmaking for quality of service based scheduling of distributed asynchronous data replication. The proposed approach addresses ...
Kevin Adams, Denis Gracanin, Dusan Teodorovic
SIGCOMM
1996
ACM
13 years 11 months ago
Receiver-Driven Layered Multicast
State of the art, real-time, rate-adaptive, multimedia applications adjust their transmission rate to match the available network capacity. Unfortunately, this source-based rate-a...
Steven McCanne, Van Jacobson, Martin Vetterli
MVA
1990
162views Computer Vision» more  MVA 1990»
13 years 8 months ago
Map-Driven Image Interpretation by Associative Model Indexing
d at a high abstraction level, and consists in an expectation-driven search starting from symbolic object descriptions and using a version of a distributed blackboard system for re...
Gian Luca Foresti, Vittorio Murino, Carlo S. Regaz...
ICRA
2009
IEEE
126views Robotics» more  ICRA 2009»
13 years 5 months ago
Time-bounded lattice for efficient planning in dynamic environments
For vehicles navigating initially unknown cluttered environments, current state-of-the-art planning algorithms are able to plan and re-plan dynamically-feasible paths efficiently a...
Aleksandr Kushleyev, Maxim Likhachev