Full-system based simulations using a customized GEM5 simulator show that reliability can be improved by up to 52% using the proposed DRM scheme in a best-effort scenario with 2 9% performance penalty (using a user set target lifetime of 7 years) over the case when no DRM is employed.
System dynamics based simulation models are becoming increasingly popular in the analysis of important energy policy issues including global warming, deregulation, conservation and efficiency.
Facing the challenges in the reliability study of the interconnect system, physics based simulation and modeling is found to be essential, and finite element method (FEM) is a suitable tool.
Additionally we show that it is feasible to model the microfeatured geometry in a piecewise manner which includes extrapolating dispersed phase flow characteristics in the entire system based on simulations in smaller subdomains.
The methodology consists of several steps, including the building of a simulation model of the system, the development of regression model(s) of the system based on simulation and D-optimal design, and finally the development of a MINLP model.
The final results have shown that the diagnostic system based on simulation can efficiently diagnose misfire, including location and severity.
Techniques for compensating for response delay and for eliminating inertia force from measured aerodynamic force are applied to a developed system based on HVT simulations of aerodynamic vibration of elastic structures and structures exhibiting elasto-plastic behavior are performed by means of the newly developed system.
We answer in the affirmative for the (stochastic) Lorenz-63 system based on numerical simulations in which the uncertainty quantification method and the data assimilation method are adaptively selected by whether the dynamics is driven by Brownian motion and the near-Gaussianity of the measure to be updated, respectively.
There have been numerous publications addressing design and analysis of such broadcast ad hoc system based on the simulations.
The data center based simulation system uses two parallel sets of Nvidia computing systems.
A computer based simulation system was also implemented and a series of experiments was carried out in order to evaluate the ability of this approach.
