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» Stochastic Analysis of Dynamic Processes
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DAC
2010
ACM
15 years 1 months ago
On the costs and benefits of stochasticity in stream processing
With the end of clock-frequency scaling, parallelism has emerged as the key driver of chip-performance growth. Yet, several factors undermine efficient simultaneous use of onchip ...
Raj R. Nadakuditi, Igor L. Markov
CMSB
2009
Springer
15 years 4 months ago
Approximation of Event Probabilities in Noisy Cellular Processes
Molecular noise, which arises from the randomness of the discrete events in the cell, significantly influences fundamental biological processes. Discrete-state continuous-time st...
Frédéric Didier, Thomas A. Henzinger...
IPL
2007
79views more  IPL 2007»
14 years 9 months ago
Analysis of noise-induced phase synchronization in nervous systems: from algorithmic perspective
In many cases, a key step in neuronal information processing is phase synchronization of neurons (as oscillators). Substantial evidence suggests that an universal mechanism is beh...
Dawei Hong
MEMOCODE
2006
IEEE
15 years 3 months ago
A scenario-aware data flow model for combined long-run average and worst-case performance analysis
Data flow models are used for specifying and analysing signal processing and streaming applications. However, traditional data flow models are either not capable of expressing t...
Bart D. Theelen, Marc Geilen, Twan Basten, Jeroen ...
CCE
2004
14 years 9 months ago
An algorithmic framework for improving heuristic solutions: Part II. A new version of the stochastic traveling salesman problem
The algorithmic framework developed for improving heuristic solutions of the new version of deterministic TSP [Choi et al., 2002] is extended to the stochastic case. To verify the...
Jaein Choi, Jay H. Lee, Matthew J. Realff