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» On the Simulation of Tikhonov Random Processes
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WSC
2007
15 years 3 days ago
Feasibility study of variance reduction in the logistics composite model
The Logistics Composite Model (LCOM) is a stochastic, discrete-event simulation that relies on probabilities and random number generators to model scenarios in a maintenance unit ...
George P. Cole III, Alan W. Johnson, J. O. Miller
AC
2003
Springer
15 years 3 months ago
The Importance of Aggregation
Abstract—The dynamics of the survival of recruiting fish are analyzed as evolving random processes of aggregation and mortality. The analyses draw on recent advances in the phys...
Robbert van Renesse
INFOCOM
2006
IEEE
15 years 3 months ago
Accelerating Simulation of Large-Scale IP Networks: A Network Invariant Preserving Approach
— In this paper, we propose a simulation framework, TranSim, that reduces the rate at which packet-events are generated, in order to accelerate large-scale simulation of IP netwo...
Hwangnam Kim, Hyuk Lim, Jennifer C. Hou
ISPASS
2006
IEEE
15 years 3 months ago
Simulation sampling with live-points
Current simulation-sampling techniques construct accurate model state for each measurement by continuously warming large microarchitectural structures (e.g., caches and the branch...
Thomas F. Wenisch, Roland E. Wunderlich, Babak Fal...
ICCAD
1999
IEEE
81views Hardware» more  ICCAD 1999»
15 years 2 months ago
Modeling design constraints and biasing in simulation using BDDs
Constraining and input biasing are frequently used techniques in functional verification methodologies based on randomized simulation generation. Constraints confine the simulatio...
Jun Yuan, Kurt Shultz, Carl Pixley, Hillel Miller,...