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DAC
2011
ACM
14 years 6 months ago
Modeling adaptive streaming applications with parameterized polyhedral process networks
The Kahn Process Network (KPN) model is a widely used modelof-computation to specify and map streaming applications onto multiprocessor systems-on-chips. In general, KPNs are difï...
Jiali Teddy Zhai, Hristo Nikolov, Todor Stefanov
DAC
2005
ACM
15 years 8 months ago
Mapping statistical process variations toward circuit performance variability: an analytical modeling approach
A physical yet compact gate delay model is developed integrating short-channel effects and the Alpha-power law based timing model. This analytical approach accurately predicts bot...
Yu Cao, Lawrence T. Clark
ANSS
2006
IEEE
16 years 14 days ago
A New Approach for Computing Conditional Probabilities of General Stochastic Processes
In this paper Hidden Markov Model algorithms are considered as a method for computing conditional properties of continuous-time stochastic simulation models. The goal is to develo...
Fabian Wickborn, Claudia Isensee, Thomas Simon, Sa...
WOSP
2000
ACM
15 years 10 months ago
Visual representation of stochastic process algebra models
Performance models are of increasing interest to professionals who do not have a background in mathematical analysis, it is important to provide additional mechanisms by developer...
Nigel Thomas, Malcolm Munro, Peter J. B. King, Rob...

Publication
576views
17 years 6 months ago
Within-die Process Variations: How Accurately can They Be Statistically Modeled?
Within-die process variations arise during integrated circuit (IC) fabrication in the sub-100nm regime. These variations are of paramount concern as they deviate the performance of...
Brendan Hargreaves, Henrik Hult, Sherief Reda