Готові списки джерел за темами / Parallel Smoothers

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Автор: Grafiati
Опубліковано: 6 вересня 2023

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Статті в журналах з теми "Parallel Smoothers"

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Xie, Dexuan. "Analysis of a Class of Parallel Multigrid Smoothers." BIT Numerical Mathematics 44, no. 4 (December 2004): 813–28. http://dx.doi.org/10.1007/s10543-004-3830-y.

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Yang, Xiang, and Rajat Mittal. "Efficient relaxed-Jacobi smoothers for multigrid on parallel computers." Journal of Computational Physics 332 (March 2017): 135–42. http://dx.doi.org/10.1016/j.jcp.2016.12.010.

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Poddar, Shashi, and John L. Crassidis. "Adaptive Lag Smoother for State Estimation." Sensors 22, no. 14 (July 15, 2022): 5310. http://dx.doi.org/10.3390/s22145310.

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Fixed-lag smoothing has been used across different disciplines for offline analysis in many applications. With rising computational power and parallel processing architectures, fixed-lag smoothers are increasingly integrated into online processing system with small delays. This delay is directly related to the lag-length used in system design, which needs to be chosen appropriately. In this work, an adaptive approach is devised to choose an appropriate lag-length that provides a good trade-off between accuracy and computational requirements. The analysis shown in this paper for the error dynamics of the fixed-lag smoother over the lags helps in understanding its saturation over increasing lags. In order to provide the empirical results, simulations are carried out over a second-order Newtonian system, single-axis attitude estimation, Van der Pol’s oscillator, and three-axis attitude estimation. The simulation results demonstrate the performance achieved with an adaptive-lag smoother as compared to a fixed-lag smoother with very high lag-length.
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CIEGIS, R., F. GASPAR, and C. RODRIGO. "On The Parallel Multiblock Geometric Multigrid Algorithm." Computational Methods in Applied Mathematics 8, no. 3 (2008): 223–36. http://dx.doi.org/10.2478/cmam-2008-0016.

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Abstract The application of a parallel multiblock geometric multigrid is consid-ered. It is applied to solve a two-dimensional poroelastic model. This system of PDEs is approximated by a special stabilized monotone finite-difference scheme. The obtained system of linear algebraic equations is solved by a multigrid method, when a domain is partitioned into structured blocks. A new strategy for the solution of the discrete problem on the coarsest grid is proposed and the efficiency of the obtained algorithm is investigated. The geometrical structure of the sequential multigrid method is used to develop a parallel version of the multigrid algorithm. The convergence properties of several smoothers are investigated and some computational results are presented.
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Axelsson, O. "Analysis of incomplete matrix factorizations as multigrid smoothers for vector and parallel computers." Applied Mathematics and Computation 19, no. 1-4 (July 1986): 3–22. http://dx.doi.org/10.1016/0096-3003(86)90094-9.

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John, Volker, and Lutz Tobiska. "Numerical performance of smoothers in coupled multigrid methods for the parallel solution of the incompressible Navier-Stokes equations." International Journal for Numerical Methods in Fluids 33, no. 4 (2000): 453–73. http://dx.doi.org/10.1002/1097-0363(20000630)33:4<453::aid-fld15>3.0.co;2-0.

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Holmes, Steven J., Peter J. Wright, and Robert J. Fryer. "Evidence from survey data for regional variability in cod dynamics in the North Sea and West of Scotland." ICES Journal of Marine Science 65, no. 2 (January 25, 2008): 206–15. http://dx.doi.org/10.1093/icesjms/fsm192.

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Abstract Holmes, S. J., Wright, P. J., and Fryer, R. J. 2008. Evidence from survey data for regional variability in cod dynamics in the North Sea and West of Scotland. – ICES Journal of Marine Science, 65: 206–215. Although cod (Gadus morhua) in the North Sea and ICES Division VIa are assessed as single units, recent research suggests that the stocks consist of reproductively isolated subpopulations within a metapopulation. We investigate whether temporal trends in stock indicators are asynchronous across subpopulations, which would support the metapopulation hypothesis. First quarter trawl survey data for the years 1983–2005 were aggregated into putative areas of high spawner fidelity (three in VIa, seven in the North Sea) to obtain indices of spawning–stock biomass (SSB) and recruitment (numbers-at-age 1). Asynchrony was investigated by fitting a smoother to the data for each of the ten spawning areas and testing whether the smoothers were parallel. Trends in SSB differed between spawning areas in both VIa and the North Sea. In VIa, SSB collapsed in the most southwesterly area, but remained more constant elsewhere. In the North Sea, there was a general decline in SSB, but areas thought to contain resident inshore populations showed more rapid declines than those in adjacent offshore areas. Recruitment results offered less support for a metapopulation, although recruitment in the southern North Sea declined rapidly before any trend was seen for the North Sea as a whole.
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Gräbel, Jens, Bruno Lang, and Peer Ueberholz. "Performance Optimization for the Parallel Gauss-Seidel Smoother." PAMM 5, no. 1 (December 2005): 831–32. http://dx.doi.org/10.1002/pamm.200510387.

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Soanca, Andrada, Alexandra Roman, Andreea Ciurea, Iulia Cristina Micu, Andrei Picos, and Sofia Iozon (Ene). "The evaluation of root surface modifications after different subgingival mechanical instrumentation techniques – an in vitro study." Romanian Journal of Stomatology 69, no. 1 (March 31, 2023): 43–49. http://dx.doi.org/10.37897/rjs.2023.1.8.

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Анотація:
Objectives. The aim of this in vitro study was to observe through scanning electron microscopy (SEM) the surface morphology of root samples treated with different mechanical instrumentation methods and the additional application of a nano-colloidal silver-based antiseptic solution. Material and methods. Root samples were prepared from extracted molars and divided in four groups: group 1 of samples was instrumented with Gracey curette (7/8), group 2 of samples was instrumented with ultrasonic tip 1S, group 3 of samples was instrumented with ultrasonic tips 1S plus H4R/L, group 4 of samples was treated with ultrasonic tips 1S plus H4R/L and application of the silver-based antiseptic solution. All samples were then subjected to SEM examination. Outcomes. Group 1 of samples presented a smoother surface compared to the samples in the other groups. Group 2, 3 and 4 displayed superficial grooves parallel to the direction of action of the ultrasonic tip. In group 3 and 4, root planning with tip H4R/L did not ameliorate the smoothness of the surface. The smear layer was present, regardless the instrumentation method. In group 4, the additional application of the antiseptic solution did not influence the surface morphology or the amount of smear layer. Conclusions. Gracey curettes created a smoother radicular surface compared to ultrasonic tips. Smear layer was obvious on the radicular surfaces, no matter the instrumentation method. The application of the silver-based antiseptic solution had no additional impact on surface morphology.
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Wang, Zhaojie, Feifeng Zheng, and Ming Liu. "Identical Parallel Machine Scheduling Considering Workload Smoothness Index." Applied Sciences 13, no. 15 (July 28, 2023): 8720. http://dx.doi.org/10.3390/app13158720.

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Анотація:
Workload balance is significant in the manufacturing industry. However, on the one hand, some existing specific criteria cannot achieve the minimization workload imbalance of parallel machines. On the other hand, there are few algorithms in existing studies that can effectively solve the parallel machine scheduling problem with the objective of minimizing workload imbalance. Inspired by this, we investigate an identical parallel machine scheduling problem with the objective of the minimum workload smoothness index. We first establish a mathematical model for the considered problem and then linearize its objective function. We prove the NP-hardness of the problem by reducing the PARTITION problem to it, and we provide both the upper bound and lower bound of the studied problem. An efficient genetic algorithm and an improved list scheduling algorithm are also proposed to efficiently address the considered problem. The numerical results demonstrate the effectiveness of the proposed methods.
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Більше джерел

Дисертації з теми "Parallel Smoothers"

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Joginipelly, Arjun. "Implementation of Separable & Steerable Gaussian Smoothers on an FPGA." ScholarWorks@UNO, 2010. http://scholarworks.uno.edu/td/98.

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Smoothing filters have been extensively used for noise removal and image restoration. Directional filters are widely used in computer vision and image processing tasks such as motion analysis, edge detection, line parameter estimation and texture analysis. It is practically impossible to tune the filters to all possible positions and orientations in real time due to huge computation requirement. The efficient way is to design a few basis filters, and express the output of a directional filter as a weighted sum of the basis filter outputs. Directional filters having these properties are called "Steerable Filters." This thesis work emphasis is on the implementation of proposed computationally efficient separable and steerable Gaussian smoothers on a Xilinx VirtexII Pro FPGA platform. FPGAs are Field Programmable Gate Arrays which consist of a collection of logic blocks including lookup tables, flip flops and some amount of Random Access Memory. All blocks are wired together using an array of interconnects. The proposed technique [2] is implemented on a FPGA hardware taking the advantage of parallelism and pipelining.
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Fleissner, Florian. "Parallel object oriented simulation with Lagrangian particle methods." Aachen Shaker, 2009. http://d-nb.info/1000976742/04.

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Gathmann-Hüttemann, Stefan. "Untersuchungen über objektorientierte Design-Patterns für massiv-parallele Teilchensimulationsverfahren anhand von smoothed particle hydrodynamics." [S.l. : s.n.], 2002. http://deposit.ddb.de/cgi-bin/dokserv?idn=964104091.

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Lundqvist, Viktor. "A smoothed particle hydrodynamic simulation utilizing the parallel processing capabilites of the GPUs." Thesis, Linköping University, Department of Science and Technology, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-21761.

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Simulating fluid behavior has proven to be a demanding challenge which requires complex computational models and highly efficient data structures. Smoothed Particle Hydrodynamics (SPH) is a particle based computational model used to simulate fluid behavior that has been found capable of producing convincing results. However, the SPH algorithm is computational heavy which makes it cumbersome to work with.

This master thesis describes how the SPH algorithm can be accelerated by utilizing the GPU’s computational resources. It describes a model for how to distribute the work load on the GPU and presents a suitable data structure. In addition, it proposes a method to represent and handle moving objects in the fluids surroundings. Finally, the performance gain due to the GPU is evaluated by comparing processing times with an identical implementation running solely on the CPU.

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Eliasson, André, and Pontus Franzén. "Accelerating IISPH : A Parallel GPGPU Solution Using CUDA." Thesis, Blekinge Tekniska Högskola, Institutionen för kreativa teknologier, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-10429.

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Context. Simulating realistic fluid behavior in incompressible fluids for computer graphics has been pioneered with the implicit incompressible smoothed particle hydrodynamics (IISPH) solver. The algorithm converges faster than other incompressible SPH-solvers, but real-time performance (in the perspective of video games, 30 frames per second) is still an issue when the particle count increases. Objectives. This thesis aims at improving the performance of the IISPH-solver by proposing a parallel solution that runs on the GPU using CUDA. The solution should not compromise the physical accuracy of the original solution. Investigated aspects are execution time, memory usage and physical accuracy. Methods. The proposed implementation uses a fine-grained approach where each particle is calculated on a separate thread. It is compared to a sequential and a parallel OpenMP implementation running on the CPU. Results and Conclusions. It is shown that the parallel CUDA solution allow for real-time performance for approximately 19 times the amount of particles than that of the sequential implementation. For approximately 175 000 particles the simulation runs at the constraint of real-time performance, more particles are still considered interactive. The visual result of the proposed implementation deviated slightly from the ones on the CPU.
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Góes, Marciana Lima. "Desenvolvimento de um simulador numérico empregando o método Smoothed Particle Hydrodynamics para a resolução de escoamentos incompressíveis. Implementação computacional em paralelo (CUDA)." Universidade do Estado do Rio de Janeiro, 2012. http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=4029.

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Анотація:
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Neste trabalho, foi desenvolvido um simulador numérico baseado no método livre de malhas Smoothed Particle Hydrodynamics (SPH) para a resolução de escoamentos de fluidos newtonianos incompressíveis. Diferentemente da maioria das versões existentes deste método, o código numérico faz uso de uma técnica iterativa na determinação do campo de pressões. Este procedimento emprega a forma diferencial de uma equação de estado para um fluido compressível e a equação da continuidade a fim de que a correção da pressão seja determinada. Uma versão paralelizada do simulador numérico foi implementada usando a linguagem de programação C/C++ e a Compute Unified Device Architecture (CUDA) da NVIDIA Corporation. Foram simulados três problemas, o problema unidimensional do escoamento de Couette e os problemas bidimensionais do escoamento no interior de uma Cavidade (Shear Driven Cavity Problem) e da Quebra de Barragem (Dambreak).
In this work a numerical simulator was developed based on the mesh-free Smoothed Particle Hydrodynamics (SPH) method to solve incompressible newtonian fluid flows. Unlike most existing versions of this method, the numerical code uses an iterative technique in the pressure field determination. This approach employs a differential state equation for a compressible fluid and the continuity equation to calculate the pressure correction. A parallel version of the numerical code was implemented using the Programming Language C/C++ and Compute Unified Device Architecture (CUDA) from the NVIDIA Corporation. The numerical results were validated and the speed-up evaluated for an one-dimensional Couette flow and two-dimensional Shear Driven Cavity and Dambreak problems.
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Góes, Josecley Fialho. "Resolução numérica de escoamentos compressíveis empregando um método de partículas livre de malhas e o processamento em paralelo (CUDA)." Universidade do Estado do Rio de Janeiro, 2011. http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=3082.

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Анотація:
Os métodos numéricos convencionais, baseados em malhas, têm sido amplamente aplicados na resolução de problemas da Dinâmica dos Fluidos Computacional. Entretanto, em problemas de escoamento de fluidos que envolvem superfícies livres, grandes explosões, grandes deformações, descontinuidades, ondas de choque etc., estes métodos podem apresentar algumas dificuldades práticas quando da resolução destes problemas. Como uma alternativa viável, existem os métodos de partículas livre de malhas. Neste trabalho é feita uma introdução ao método Lagrangeano de partículas, livre de malhas, Smoothed Particle Hydrodynamics (SPH) voltado para a simulação numérica de escoamentos de fluidos newtonianos compressíveis e quase-incompressíveis. Dois códigos numéricos foram desenvolvidos, uma versão serial e outra em paralelo, empregando a linguagem de programação C/C++ e a Compute Unified Device Architecture (CUDA), que possibilita o processamento em paralelo empregando os núcleos das Graphics Processing Units (GPUs) das placas de vídeo da NVIDIA Corporation. Os resultados numéricos foram validados e a eficiência computacional avaliada considerandose a resolução dos problemas unidimensionais Shock Tube e Blast Wave e bidimensional da Cavidade (Shear Driven Cavity Problem).
The conventional mesh-based numerical methods have been widely applied to solving problems in Computational Fluid Dynamics. However, in problems involving fluid flow free surfaces, large explosions, large deformations, discontinuities, shock waves etc. these methods suffer from some inherent difficulties which limit their applications to solving these problems. Meshfree particle methods have emerged as an alternative to the conventional grid-based methods. This work introduces the Smoothed Particle Hydrodynamics (SPH), a meshfree Lagrangian particle method to solve compressible flows. Two numerical codes have been developed, serial and parallel versions, using the Programming Language C/C++ and Compute Unified Device Architecture (CUDA). CUDA is NVIDIAs parallel computing architecture that enables dramatic increasing in computing performance by harnessing the power of the Graphics Processing Units (GPUs). The numerical results were validated and the speedup evaluated for the Shock Tube and Blast Wave one-dimensional problems and Shear Driven Cavity Problem.
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Yeylaghi, Shahab. "A parallel explicit incompressible smoothed particle hydrodynamics (ISPH) model for nonlinear hydrodynamic applications." Thesis, 2016. http://hdl.handle.net/1828/7661.

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Анотація:
Fluid structure interactions in the presence of a free surface includes complex phenomena, such as slamming, air entrainment, transient loads, complex free surface profiles and turbulence. Hence, an appropriate and efficient numerical method is required to deal with these type of problems (efficient both in problem setup and numerical solution). Eulerian mesh-based methods can be used to solve different types of problems, however they have difficulties in problems involving moving boundaries and discontinuities (e.g. fluid structure interactions in the presence of a free surface). Smoothed Particle Hydrodynamics (SPH) is a mesh-less Lagrangian particle method, ideal for solving problems with large deformation and fragmentation such as complex free surface flows. The SPH method was originally invented to study astrophysical applications and requires modifications in order to be applied for hydrodynamic applications. Applying solid boundary conditions for hydrodynamic applications in SPH is a key difference to the original SPH developed for astrophysics. There are several methods available in literature to apply solid boundaries in SPH. In this research, an accurate solid boundary condition is used to calculate the pressure at the boundary particles based on the surrounding fluid particles. The two main methods to calculate the pressure in the SPH method are the weakly compressible SPH (WCSPH) and the incompressible SPH (ISPH) approaches. The WCSPH uses the equation of state while ISPH solves Poisson's equation to determine the pressure. In this dissertation, an explicit incompressible SPH (ISPH) method is used to study nonlinear free surface applications. In the explicit ISPH method, Poisson's equation is explicitly solved to calculate the pressure within a projection based algorithm. This method does not require solving a set of algebraic equations for pressure at each time step unlike the implicit method. Here, an accurate boundary condition along with an accurate source term for Poisson's equation is used within the explicit method. Also, the sub-particle turbulent calculation is applied to the explicit ISPH method (which handles large-scale turbulent structures implicitly) in order to calculate the flow field quantities and consequently forces on the device more accurately. The SPH method is typically computationally more expensive than Eulerian-based CFD methods. Therefore, parallelization methods are required to improve the performance of the method, especially for 3D simulations. In this dissertation, two novel parallel schemes are developed based on Open Multi Processing (OpenMP) and Message Passing Interface (MPI) standards. The explicit ISPH approach is an advantage for parallel computing but our proposed method could also be applied to the WCSPH or implicit ISPH. The proposed SPH model is used to simulate and analyze several nonlinear free surface problems. First, the proposed explicit ISPH method is used to simulate a transient wave overtopping on a horizontal deck. Second, a wave impacting on a scaled oscillating wave surge converter (OWSC) is simulated and studied. Third, the performance and accuracy of the code is tested for a dam-break impacting on tall and short structures. Forth, the hydrodynamic loads from the spar of a scaled self-reacting point absorber wave energy converter (WEC) design is studied. Finally, a comprehensive set of landslide generated waves are modeled and analyzed and a new technique is proposed to calculate the motion of a slide on an inclined ramp implicitly without using a prescribed motion.
Graduate
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Xiao, Jun-Yi, and 蕭鈞懌. "Parallel Multilevel Smoothed Aggregation Schwarz Preconditioned Newton-Krylov Algorithms for Poisson-Boltzmann Problem." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/s7re35.

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Анотація:
碩士
國立中央大學
數學系
104
The use of multi-grid (Multigrid method) extending algorithm as preconditioner parallel Newton-Krylov-Schwarz algorithms to reduce the number of iterations and calculation time determined to accelerate the solution of nonlinear equations large relaxation. The group, this nonlinear system is mediated by the finite element method, as in the three-dimensional discrete Poisson-Boltzmann equation; in glial scientific applications, do the three-dimensional numerical simulation of charged colloidal particles in the electrolyte, and to further explore symmetric and asymmetric electrolyte solution for electric field and the potential energy of the impact. Poisson-Boltzmann equation for the description of charged colloidal particles in the electrolyte, the potential energy distribution formula. And conduct research on parallel performance, optimization iterations, and time, and compare the effectiveness of different aggregation methods.
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Gathmann-Hüttemann, Stefan [Verfasser]. "Untersuchungen über objektorientierte Design-Patterns für massiv-parallele Teilchensimulationsverfahren anhand von smoothed particle hydrodynamics / vorgelegt von Stefan Gathmann genannt Hüttemann." 2002. http://d-nb.info/964104091/34.

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Книги з теми "Parallel Smoothers"

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Dubanov, Aleksandr. Computer simulation in pursuit problems. ru: Publishing Center RIOR, 2022. http://dx.doi.org/10.29039/02102-6.

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Анотація:
Currently, computer simulation in virtual reality systems has a special status. In order for a computer model to meet the requirements of the tasks it models, it is necessary that the mathematical apparatus correctly describe the simulated phenomena. In this monograph, the simulation of pursuit problems is carried out. An adaptive modeling of the behavior of both pursuers and targets is carried out. An iterative calculation of the trajectories of the participants in the pursuit problem is carried out. The main attention is paid to the methods of pursuit and parallel rendezvous. These methods are taken as the basis of the study and are modified in the future. The scientific novelty of the study is the iterative calculation of the trajectories of the participants in the pursuit task when moving at a constant speed, while following the predicted trajectories. The predicted trajectories form a one-parameter network of continuous lines of the first order of smoothness. The predicted trajectories are calculated taking into account the restrictions on the curvature of the participant in the pursuit problem. The fact of restrictions on curvature can be interpreted as restrictions on the angular frequency of rotation of the object of the pursuit problem. Also, the novelty is the calculation of the iterative process of group pursuit of multiple targets, when targets are hit simultaneously or at specified intervals. The calculation of the parameters of the network of predicted trajectories is carried out with a curvature variation in order to achieve the desired temporal effect. The work also simulates the adaptive behavior of the pursuer and the target. The principle of behavior can be expressed on the example of a pursuer with a simple phrase: "You go to the left - I go to the left." This happens at each iteration step in terms of choosing the direction of rotation. For the purpose, the principle of adaptive behavior is expressed by the phrase: "You go to the left - I go to the right." The studies, algorithms and models presented in the monograph can be in demand in the design of autonomously controlled unmanned aerial vehicles with elements of artificial intelligence. The task models in the monograph are supplemented with many animated images, where you can see the research process. Also, the tasks have an implementation in a computer mathematics system and can be transferred to virtual reality systems if necessary.
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Частини книг з теми "Parallel Smoothers"

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Bolten, Matthias, and Oliver Letterer. "Increasing Arithmetic Intensity in Multigrid Methods on GPUs Using Block Smoothers." In Parallel Processing and Applied Mathematics, 515–25. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32149-3_48.

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Douglas, Craig C., Sachit Malhotra, and Martin H. Schultz. "“Transpose Free” Alternating Direction Smoothers for Serial and Parallel Multigrid Methods." In Advances in Computational Mathematics, 39–52. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003419839-3.

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Krzyżanowski, Piotr. "A Class of Block Smoothers for Multigrid Solution of Saddle Point Problems with Application to Fluid Flow." In Parallel Processing and Applied Mathematics, 1006–13. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24669-5_130.

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Reiter, Sebastian, Andreas Vogel, Arne Nägel, and Gabriel Wittum. "A Massively Parallel Multigrid Method with Level Dependent Smoothers for Problems with High Anisotropies." In High Performance Computing in Science and Engineering ´16, 667–75. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47066-5_45.

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Heuveline, Vincent, Dimitar Lukarski, Nico Trost, and Jan-Philipp Weiss. "Parallel Smoothers for Matrix-Based Geometric Multigrid Methods on Locally Refined Meshes Using Multicore CPUs and GPUs." In Facing the Multicore - Challenge II, 158–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30397-5_14.

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Nakasato, N., M. Mori, and K. Nomoto. "Smoothed Particle Hydrodynamics with Parallel Virtual Machine." In Astrophysics and Space Science Library, 269–72. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-010-0864-8_34.

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Emans, Maximilian. "Combining Smoother and Residual Calculation in v-cycle AMG for Symmetric Problems." In Parallel Processing and Applied Mathematics, 651–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31464-3_66.

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Moon, Sung-Whan, Padmanabhan Pillai, and Kang G. Shin. "STREAMER: Hardware Support for Smoothed Transmission of Stored Video over ATM." In Parallel Computer Routing and Communication, 75–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/3-540-69352-1_7.

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Domínguez, J. M., A. Barreiro, A. J. C. Crespo, O. García-Feal, and M. Gómez-Gesteira. "Parallel CPU/GPU Computing for Smoothed Particle Hydrodynamics Models." In Recent Advances in Fluid Dynamics with Environmental Applications, 477–91. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-27965-7_34.

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Titov, Alexander, Sergey Khrapov, Victor Radchenko, and Alexander Khoperskov. "Aerodynamic Models of Complicated Constructions Using Parallel Smoothed Particle Hydrodynamics." In Communications in Computer and Information Science, 173–84. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-05807-4_15.

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Тези доповідей конференцій з теми "Parallel Smoothers"

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Douglas, Craig C., and Gundolf Haase. "Parallel ADI Smoothers for Multigrid." In 2013 12th International Symposium on Distributed Computing and Applications to Business, Engineering & Science (DCABES). IEEE, 2013. http://dx.doi.org/10.1109/dcabes.2013.25.

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Yaghoobi, Fatemeh, Adrien Corenflos, Sakira Hassan, and Simo Sarkka. "Parallel Iterated Extended and Sigma-Point Kalman Smoothers." In ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2021. http://dx.doi.org/10.1109/icassp39728.2021.9413364.

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3

Kashi, Aditya, Syam Vangara, and Sivakumaran Nadarajah. "Asynchronous fine-grain parallel smoothers for computational fluid dynamics." In 2018 Fluid Dynamics Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2018. http://dx.doi.org/10.2514/6.2018-3558.

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Kashi, Aditya, Syam Vangara, and Sivakumaran Nadarajah. "Correction: Asynchronous fine-grain parallel smoothers for computational fluid dynamics." In 2018 Fluid Dynamics Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2018. http://dx.doi.org/10.2514/6.2018-3558.c1.

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Tuminaro, R. S., and C. Tong. "Parallel Smoothed Aggregation Multigrid : Aggregation Strategies on Massively Parallel Machines." In ACM/IEEE SC 2000 Conference. IEEE, 2000. http://dx.doi.org/10.1109/sc.2000.10008.

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Manea, A. M. "A Massively Parallel Restriction-Smoothed Basis Multiscale Solver on Multicore and GPU Architectures." In SPE Reservoir Simulation Conference. SPE, 2021. http://dx.doi.org/10.2118/203939-ms.

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Анотація:
Abstract Due to its simplicity, adaptability, and applicability to various grid formats, the restriction-smoothed basis multiscale method (MsRSB) (Møyner and Lie 2016) has received wide attention and has been extended to various flow problems in porous media. Unlike the standard multiscale methods, MsRSB relies on iterative smoothing to find the multiscale basis functions in an adaptive manner, giving it the ability to naturally adjust to various complex grid orientations often encountered in real-life industrial applications. In this work, we investigate the scalability of MsRSB on various state-of-the-art parallel architectures, including multicore systems and GPUs. While MsRSB is-like most other multiscale methods-directly amenable to parallelization, the dependence on a smoother to find the basis functions creates unique control- and data-flow patterns. These patterns require careful design and implementation in parallel environments to achieve good scalability. We extend the work on parallel multiscale methods in Manea et al. (2016) and Manea and Almani (2019) to map the MsRSB special kernels to the shared-memory parallel multicore and GPU architectures. The scalability of our optimized parallel MsRSB implementation is demonstrated using highly heterogeneous 3D problems derived from the SPE10 Benchmark (Christie and Blunt 2001). Those problems range in size from millions to tens of millions of cells. The multicore implementation is benchmarked on a shared memory multicore architecture consisting of two packages of Intel® Cascade Lake Xeon® Gold 6246 CPU, while the GPU implementation is benchmarked on a massively parallel architecture consisting of NVIDIA Volta V100 GPUs. We compare the multicore implementation to the GPU implementation for both the setup and solution stages. Finally, we compare our parallel MsRSB scalability to the scalability of the parallel algebraic multiscale solver (AMS) on multicore (Manea et al. 2016) and GPU (Manea and Almani 2019) architectures. To the best of our knowledge, this is the first parallel implementation and demonstration of the versatile MsRSB method on the GPU architecture.
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Manea, Abdulrahman. "GPU-Enabled Scalable Multiscale Solver for Reservoir Simulation." In International Petroleum Technology Conference. IPTC, 2022. http://dx.doi.org/10.2523/iptc-22024-ms.

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Abstract As reservoir simulation models continue to grow in their size and complexity, the computational cost of reservoir simulation is constantly increasing. Since most of the reservoir simulation time is typically spent in the linear solver (being in the innermost part and the most challenging to parallelize and scale), efficient linear solvers are of utmost importance for reducing reservoir simulation turnaround times. In this work, we study the scalability of a versatile multiscale linear solver, namely the restriction-smoothed basis multiscale method (MsRSB) (Møyner and Lie (2016)) on the emerging massively parallel GPU architecture, and compare it to its performance on the multi-core CPU architecture. MsRSB, unlike traditional multiscale approaches, uses iterative smoothing to adaptively compute multiscale basis functions, allowing it to handle a wide range of difficult grid orientations seen in real-world industrial applications. While MsRSB can be parallelized directly, its reliance on a smoother to determine the basis of functions results in unusual control and data flow patterns. To achieve effective scalability, these patterns must be carefully designed and implemented on massively parallel systems. We extend Manea et al. (2016) and Manea and Almani (2019) work on parallel multiscale methods to move the MsRSB special kernels to shared-memory parallel multi-core and GPU architectures. Highly heterogeneous multimillion-cell 3D problems, adopted from the SPE10 Benchmark (Christie and Blunt (2001) have been used to illustrate the scalability of our parallel MsRSB development. The GPU implementation is benchmarked on a massively parallel architecture consisting of Nvidia Volta V100 GPUs, while the multi-core implementation is benchmarked on a shared memory multi-core architecture consisting of two packages of Intel's Haswell-EP Xeon(R) CPU E5-2667. For both the setup and solution stages, we compare the multi-core implementation versus the GPU implementation. The GPU-based MsRSB implementation shows great scalability, with over a 4-fold reduction in runtime when compared to the optimized multi-core implementation.
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Wu, Shikang, Hanyu Hong, Yu Shi, and Xia Hua. "Blind deblurring with image layer separation using relative smoothness." In Parallel Processing of Images and Optimization Techniques, edited by Bruce Hirsch, Hong Sun, and Chao Cai. SPIE, 2020. http://dx.doi.org/10.1117/12.2538072.

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Li, Jian, Zhenhua Li, Yao Liu, and Zhi-Li Zhang. "Do Twin Clouds Make Smoothness for Transoceanic Video Telephony?" In 2015 44th International Conference on Parallel Processing (ICPP). IEEE, 2015. http://dx.doi.org/10.1109/icpp.2015.35.

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Lukyanov, A., and C. Vuik. "Parallel Fully Implicit Smoothed Particle Hydrodynamics Based Multiscale Method." In ECMOR XV - 15th European Conference on the Mathematics of Oil Recovery. Netherlands: EAGE Publications BV, 2016. http://dx.doi.org/10.3997/2214-4609.201601748.

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Звіти організацій з теми "Parallel Smoothers"

1

Baker, A. H., R. D. Falgout, T. V. Kolev, and U. M. Yang. Multigrid Smoothers for Ultra-Parallel Computing: Additional Theory and Discussion. Office of Scientific and Technical Information (OSTI), June 2011. http://dx.doi.org/10.2172/1122232.

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