Efficient Parallelization of a Three-Dimensional High-Order Particle-in-Cell Method for the Simulation of a 170 GHz Gyrotron Resonator

Neudorfer, J.; Stock, A.; Schneider, R.; Roller, Sabine; Munz, Claus‐Dieter

doi:10.1109/tps.2012.2229298

Cited by 16 publications

(3 citation statements)

References 24 publications

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“…The load factor has been derived by a parameter study and needs to be adjusted depending on the methods used for the different modules of the PIC and DSMC schemes. A more detailed description and investigation of the applied parallelization scheme can be found in [30].…”

Section: Parallelizationmentioning

confidence: 99%

Coupled Particle-In-Cell and Direct Simulation Monte Carlo method for simulating reactive plasma flows

Munz

Auweter‐Kurtz²,

Fasoulas

et al. 2014

Comptes Rendus. Mécanique

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Plasma flows with high Knudsen numbers cannot be treated with classic continuum methods, as represented for example by the Navier-Stokes or the magnetohydrodynamic equations. Instead, the more fundamental Boltzmann equation has to be solved, which is done here approximately by particle based methods that also allow for thermal and chemical non-equilibrium. The Particle-In-Cell method is used to treat the collisionless Vlasov-Maxwell system, while neutral reactive flows are treated by the Direct Simulation Monte Carlo method. In this article, a combined approach is presented that allows the simulation of reactive, partially or fully ionized plasma flows. Both particle methods are briefly outlined and the coupling and parallelization strategies are described. As an example, the results of a streamer discharge simulation are presented and discussed in order to demonstrate the capabilities of the coupled method.

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Section: Parallelizationmentioning

confidence: 99%

Coupled Particle-In-Cell and Direct Simulation Monte Carlo method for simulating reactive plasma flows

Munz

Auweter‐Kurtz²,

Fasoulas

et al. 2014

Comptes Rendus. Mécanique

Self Cite

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“…Their 'heaviness' is caused not by algorithmically demanding tasks (i.e., in NN models) but rather by the high number of simpler ones. In other research fields, where a significant number of simulations is also employed for analysis, scholars adopt a parallel computing approach when the simulations are independent of one anotherfor example, in physics [24] or statistics [22].…”

Section: Introductionmentioning

confidence: 99%

Optimizing ASReview simulations: A generic multiprocessing solution for 'light-data' and 'heavy-data' users

Romanov,

Siqueira,

de Bruin

et al. 2023

Preprint

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Active learning (AL) can be used for optimizing and speeding up the screening phase of systematic reviews. Running simulation studies mimicking the screening process can be used to test the performance of different machine-learning models or to study the impact of different training data. In this paper, we present an architecture design with a multiprocessing computational strategy for running many such simulation studies in parallel, using the ASReview Makita workflow generator and Kubernetes software for the purposes of deployment with cloud technologies. We provide a technical explanation of the proposed cloud architecture and its usage. In addition to that, we conducted 1140 simulations investigating the computational time using various numbers of CPUs and RAM settings. Our analysis demonstrates the degree to which simulations can be accelerated with multiprocessing computing usage. The parallel computation strategy and the architecture design that was developed in the present paper can contribute to future research with more optimal simulation time and, at the same time, ensure the safe completion of the needed processes.

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“…Particle-in-cell (PIC) simulation is a feasible method to study the nonlinear plasma-wave interactions [11,12] . So far, many simulation studies based on PIC method have been carried out in the electron cyclotron range of frequencies [13,14] , and the ion cyclotron range of frequencies [15,16] . However, in the lower hybrid range of frequencies (LHRF), as the RF frequency is much lower than the electron gyro-frequency, the traditional PIC simulations are hard to carry out for LHWs, and most of the studies focus on boundary coupling problems [17−19] .…”

Section: Introductionmentioning

confidence: 99%

Benchmark Simulations of Gyro-Kinetic Electron and Fully-Kinetic Ion Model for Lower Hybrid Waves in Linear Region

Li¹,

Xiang²,

Lin³

et al. 2014

Plasma Sci. Technol.

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Particle-in-cell (PIC) simulation method has been proved to be a good candidate to study the interactions between plasmas and radio-frequency waves. However, for waves in the lower hybrid range of frequencies, a full PIC simulation is not efficient due to its high computational cost. In this work, a gyro-kinetic electron and fully-kinetic ion (GeFi) particle simulation model is applied to study the propagations and mode conversion processes of lower hybrid waves (LHWs) in plasmas. With this method, the computational efficiency of LHW simulations is greatly increased by using a larger grid size and time step. The simulation results in the linear regime are validated by comparison with the linear theory.

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Efficient Parallelization of a Three-Dimensional High-Order Particle-in-Cell Method for the Simulation of a 170 GHz Gyrotron Resonator

Cited by 16 publications

References 24 publications

Coupled Particle-In-Cell and Direct Simulation Monte Carlo method for simulating reactive plasma flows

Coupled Particle-In-Cell and Direct Simulation Monte Carlo method for simulating reactive plasma flows

Optimizing ASReview simulations: A generic multiprocessing solution for 'light-data' and 'heavy-data' users

Benchmark Simulations of Gyro-Kinetic Electron and Fully-Kinetic Ion Model for Lower Hybrid Waves in Linear Region

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