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In this paper, we discuss a fault-tolerant mechanism under Linux circumstance to improve the fault-tolerant ability of the system, namely a scheme and frame to form the stable computing platform.
This technology is shock proof, quiet, produces less heat and is energy saving for reliable and stable computing on-the-go.
To ensure stable computing, our algorithm automatically calculates the possible maximum number of threads per block according to the parameters R and h.
The value of α can be set to higher ones for more variable computing environments, such as virtualized clouds, and lower ones for more stable computing environments, such as real clusters.
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Only stable, compute-intensive operations are accelerated by FPGA engines.
Through employing a reliable and stable basic computing platform, and conducting practical improvement and optimization on it, the performance will be greatly improved.
In the presence of shot noise, the computed lifetime values were found to be reasonably stable, while computed amplitudes demonstrated more variability.
Bifurcation analysis has been studied with varying clearance sizes, corresponding to two different values of crank angular velocity; then some intervals in which the periodic orbit embedded in the system response becomes stable are computed.
Based on this observation, an efficient and numerically stable algorithm for computing the singular points is devised, and inversion formulae for the singular points are derived.
A major part of the work is the development of an efficient search procedure for computing stable models for this kernel language.
The method is capable of computing stable and unstable periodic solutions with equal ease, and it determines the stability automatically by using a numerical implementation of Floquet theory.
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