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Heterogeneous (HG) blankets consist of a layer of poro-elastic media with small embedded masses that replicate the behavior of a distributed mass spring damper system.
Interestingly, this type of locality-driven strategy, which seeks to align the logical behavior of a distributed system with the shape of its physical deployment, can be transposed to cloud-based infrastructures, with substantial performance gains as exemplified by Camdoop [56].
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Afterwards, a multi-agent architecture is proposed in the design process to describe the behavior of testing a distributed chat group application on high level of abstraction.
We emphasize that the effects of intrinsic neuronal variability on spiking behavior require a distributed mode of synaptic input and can be eliminated by strongly correlated input.
In addition to a distributed architecture affecting the stability of memory pattern behavior and modulating activity enabling the occurrence of complimentary patterned behaviors, certain working memory pattern behaviors apparently are exclusively a function of a distributed architecture rather than the facilitation mechanism alone.
In this paper, we present an introduction to the Python and Fortran interfaces of pyCTQW, discuss various numerical methods of calculating the matrix exponential, and demonstrate the performance behavior of pyCTQW on a distributed memory cluster.
This MCC work describes the behavior of experts in a distributed supervisory coordination framework, which extends supervisory control/command and control models of human task performance.
We will describe the behavior of the distributed algorithm from a network (global) point of view with the corresponding vector/matrix notation.
HESSE is a simulation tool that can reproduce or predict the performance behavior of a (possibly heterogeneous) distributed system for a given application, under different computing and network load conditions.
Figure 1 Convergence behavior of the distributed algorithm in case of noisy measurements for different values of, and. Figure 2 Convergence behavior of the distributed algorithm in case of noisy measurements for different values of the step sizes and.
Figure 3 Convergence behavior of the distributed algorithm in case of noisy measurements,, for the biased and unbiased case.
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