Stochastic first passage time accelerated with CUDA

Pierro, V.; Troiano, Luigi; Mejuto, Elena; Филатрелла, Г.

doi:10.1016/j.jcp.2018.01.039

Cited by 11 publications

(4 citation statements)

References 41 publications

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“…Thus, the total simulation time for a single distribution is still feasible, although very long. Nevertheless, stochastic simulations can be extensively parallelized [78] taking advantage of fast and low cost general purpose graphic process units. The estimation of the minimum number of realizations required to detect the presence of a Lévy noise component can be done through a Kolmogorov-Smirnov (KS) test (see Ref.…”

Section: Resultsmentioning

confidence: 99%

Josephson-based Threshold Detector for Lévy-Distributed Current Fluctuations

et al. 2019

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We propose a threshold detector for Lévy distributed fluctuations based on a Josephson junction. The Lévy noise current added to a linearly ramped bias current results in clear changes in the distribution of switching currents out of the zero-voltage state of the junction. We observe that the analysis of the cumulative distribution function of the switching currents supplies information on both the characteristics shape parameter α of the Lévy statistics and the intensity of the fluctuations. Moreover, we discuss a theoretical model which allows to extract characteristic features of the Lévy fluctuations from a measured distribution of switching currents. In view of this results, this system can effectively find an application as a detector for a Lévy signal embedded in a noisy background. arXiv:1802.01095v3 [cond-mat.mes-hall]

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Section: Resultsmentioning

confidence: 99%

Josephson-based Threshold Detector for Lévy-Distributed Current Fluctuations

et al. 2019

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“…It would be interesting to extend the investigation to other configurations [26,27], to investigate the role of the resonator and JJ parameters, and to consider many more JJs. The latter case calls for much more demanding numerical simulations, that presumably are only possible with massive parallel computations, possibly on cheap CUDA hardware [39].…”

Section: Discussionmentioning

confidence: 99%

Noise and disorder effects in a series of birhythmic Josephson junctions coupled to a resonator

et al. 2019

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This paper deal the effects of uncorrelated white noise, in a serie of Josephson Junctions coupled to a linear RLC resonator. The junction are hysteretic, and hence can be considered birhythmic, that is capable to oscillate at different frequencies for the same set of parameters. Both Josephson Junctions with identical and disordered parameters are considered. With the uniform parameters, the array behaves similarly to single Josephson junctions, also in the presence of noise. The magnitude of the effective energy that characterizes the response to noise becomes smaller as the number of elements of the array increases, making the resonator less stable. Disorder in the parameters drastically changes the physics of the array. The disordered array of Josephson junctions misses the birhythmicity properties for large values of the variance of the disorder parameter. Nevertheless, the system remains birhythmic for low values of the disorder parameter. Finally, disorder makes it difficult to locate the separatrix, hinting to a more complex structure of the effective energy landscape.

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“…This paper used Tensorflow as the training platform, which integrates Compute Unified Device Architecture (CUDA) based Graphics Processing Unit (GPU) acceleration [45].…”

Section: Platform and Hardware For Training The Dnns Classifiermentioning

confidence: 99%

Non-intrusive classification of gas-liquid flow regimes in an S-shaped pipeline riser using a Doppler ultrasonic sensor and deep neural networks

Nnabuife

Kuang

Whidborne

et al. 2021

Chemical Engineering Journal

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Stochastic first passage time accelerated with CUDA

Cited by 11 publications

References 41 publications

Josephson-based Threshold Detector for Lévy-Distributed Current Fluctuations

Josephson-based Threshold Detector for Lévy-Distributed Current Fluctuations

Noise and disorder effects in a series of birhythmic Josephson junctions coupled to a resonator

Non-intrusive classification of gas-liquid flow regimes in an S-shaped pipeline riser using a Doppler ultrasonic sensor and deep neural networks

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