scholarly journals NEW OPPORTUNITIES FOR HIGH-PERFORMANCE SIMULATIONS OF NANOSYSTEM USING METROPOLIS SOFTWARE

2021 ◽  
pp. 624-638
Author(s):  
Денис Николаевич Соколов ◽  
Николай Юрьевич Сдобняков ◽  
Ксения Геннадьевна Савина ◽  
Андрей Юрьевич Колосов ◽  
Владимир Сергеевич Мясниченко
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Software Package ◽  
High Performance ◽  
Tight Binding ◽  
Binding Potential ◽  
Graphics Processors ◽  
Many Body ◽  
The Monte Carlo Method ◽  
Software Implementations

Описана архитектура и программное обеспечение Metropolis для проведения компьютерного моделирования методом Монте-Карло, а также его модификации. В качестве потенциала используется потенциал сильной связи, однако это не исключает возможности использования других модификаций апробированных многочастичных потенциалов. В сравнении с предыдущими программными реализациями метода Монте-Карло данная модификация увеличила скорость расчетов в 700 раз для выбранного размера наночастицы. Представлены данные по сходимости результатов моделирования методом Монте-Карло на примере температуры плавления. Разработанный программный комплекс постоянно апробируется для расчетов различных моно- и многокомпонентных наночастиц и наносистем. Полученные результаты показывают достаточно хорошее согласие с другими численными методами, в первую очередь с молекулярной динамикой, и реальным экспериментом. Дальнейшее развитие программного комплекса и улучшение показателей эффективности его работы планируется с использованием параллелизации вычислений и использование технологии вычислений на графических процессорах CUDA. The architecture and software Metropolis for computer simulation by the Monte Carlo method, as well as its modifications, are described. The tight-binding potential that does not exclude the possibility of using other modifications of many-body potentials. In comparison with previous software implementations of the Monte Carlo method, this modification has increased the rate of calculations by 700 times for a selected nanoparticle size. The data on the convergence of the results of modeling by the Monte Carlo method are presented on the example of the melting point. The developed software package is constantly tested for calculations of various mono- and multicomponent nanoparticles and nanosystems. The results obtained show fairly good agreement with other numerical methods, primarily molecular dynamics, and real experiment. Further development of the software package and its performance indicators are planned to be improved using parallelization of computations and the use of computing technology on graphics processors CUDA.

scholarly journals Monte Carlo method and High Performance Computing for solving Fokker–Planck equation of minority plasma particles

2015 ◽  
Vol 81 (3) ◽  
Author(s):  
E. Hirvijoki ◽  
T. Kurki-Suonio ◽  
S. Äkäslompolo ◽  
J. Varje ◽  
T. Koskela ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
High Performance Computing ◽  
High Performance ◽  
Collision Operator ◽  
Planck Equation ◽  
Energetic Ions ◽  
The Monte Carlo Method ◽  
Particle Simulations ◽  
Performance Computing

This paper explains how to obtain the distribution function of minority ions in tokamak plasmas using the Monte Carlo method. Since the emphasis is on energetic ions, the guiding-center transformation is outlined, including also the transformation of the collision operator. Even within the guiding-center formalism, the fast particle simulations can still be very CPU intensive and, therefore, we introduce the reader also to the world of high-performance computing. The paper is concluded with a few examples where the presented method has been applied.

DAREUS Software Package for Modeling the Dynamics of Solution Reactors Using the Monte Carlo Method

2018 ◽  
Vol 81 (8) ◽  
pp. 1180-1186
Author(s):  
E. A. Gomin ◽  
V. D. Davidenko ◽  
O. V. Davidenko ◽  
A. A. Kovalishin ◽  
M. N. Laletin ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Software Package ◽  
The Monte Carlo Method

scholarly journals A High Performance Digital Time Interval Spectrometer: An Embedded, FPGA-Based System With Reduced Dead Time Behaviour

2015 ◽  
Vol 22 (4) ◽  
pp. 601-619 ◽  
Author(s):  
Mohammad Arkani
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
High Performance ◽  
Dead Time ◽  
Time Spectrum ◽  
Time Interval ◽  
Prototype System ◽  
Short Time Interval ◽  
Time Model ◽  
The Monte Carlo Method

AbstractIn this work, a fast 32-bit one-million-channel time interval spectrometer is proposed based onfield programmable gate arrays(FPGAs). The time resolution is adjustable down to 3.33 ns (=T, the digitization/discretization period) based on a prototype system hardware. The system is capable to collect billions of time interval data arranged in one million timing channels. This huge number of channels makes it an ideal measuring tool for very short to very long time intervals of nuclear particle detection systems. The data are stored and updated in a built-in SRAM memory during the measuring process, and then transferred to the computer. Twotime-to-digital converters(TDCs) working in parallel are implemented in the design to immune the system against loss of the first short time interval events (namely below 10 ns considering the tests performed on the prototype hardware platform of the system). Additionally, the theory of multiple count loss effect is investigated analytically. Using the Monte Carlo method, losses of counts up to 100million events per second(Meps) are calculated and the effective system dead time is estimated by curve fitting of a non-extendable dead time model to the results (τNE= 2.26 ns). An important dead time effect on a measured random process is the distortion on the time spectrum; using the Monte Carlo method this effect is also studied. The uncertainty of the system is analysed experimentally. The standard deviation of the system is estimated as ± 36.6 ×T(T= 3.33 ns) for a one-second time interval test signal (300 millionTin the time interval).

High-Performance Methods for Analyzing the Statistical Strength of Welded Pipelines and Pressure Vessels Using the Monte Carlo Method

2020 ◽  
Vol 52 (11) ◽  
pp. 12-27
Author(s):  
Elena A. Velikoivanenko ◽  
Alexey S. Milenin ◽  
Alexander V. Popov ◽  
Vladimir A. Sidoruk ◽  
Alexander N. Khimich
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
High Performance ◽  
Pressure Vessels ◽  
Statistical Strength ◽  
The Monte Carlo Method

UGR CALCULATION BASED ON THE LUMINANCE SPATIAL-ANGULAR DISTRIBUTION

2020 ◽  
Vol 2020 (4) ◽  
pp. 25-32
Author(s):  
Viktor Zheltov ◽  
Viktor Chembaev
Keyword(s):  
Monte Carlo ◽  
Angular Distribution ◽  
Monte Carlo Method ◽  
Visual Task ◽  
New Method ◽  
Lighting System ◽  
Preliminary Assessment ◽  
System A ◽  
The Monte Carlo Method

The article has considered the calculation of the unified glare rating (UGR) based on the luminance spatial-angular distribution (LSAD). The method of local estimations of the Monte Carlo method is proposed as a method for modeling LSAD. On the basis of LSAD, it becomes possible to evaluate the quality of lighting by many criteria, including the generally accepted UGR. UGR allows preliminary assessment of the level of comfort for performing a visual task in a lighting system. A new method of "pixel-by-pixel" calculation of UGR based on LSAD is proposed.

PSHA software review based on the Monte Carlo method

2020 ◽  
pp. 14-24
Author(s):  
V.A. Mironov ◽  
S.A. Peretokin ◽  
K.V. Simonov
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Seismic Hazard ◽  
Hazard Analysis ◽  
Software Review ◽  
Seismic Hazard Analysis ◽  
Probabilistic Seismic Hazard ◽  
Test Calculation ◽  
Seismic Surveys ◽  
The Monte Carlo Method

The article is a continuation of the software research to perform probabilistic seismic hazard analysis (PSHA) as one of the main stages in engineering seismic surveys. The article provides an overview of modern software for PSHA based on the Monte Carlo method, describes in detail the work of foreign programs OpenQuake Engine and EqHaz. A test calculation of seismic hazard was carried out to compare the functionality of domestic and foreign software.

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