Relevant bibliographies by topics / Parallel numerical computing

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Parallel numerical computing'

Author: Grafiati
Published: 5 June 2025
Last updated: 16 July 2025

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Journal articles on the topic "Parallel numerical computing"

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Migdalas, A., G. Toraldo, and V. Kumar. "Parallel computing in numerical optimization." Parallel Computing 29, no. 4 (2003): 373. http://dx.doi.org/10.1016/s0167-8191(03)00012-7.

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Karelkhan, N., P. S. Gapbarova, and O. A. Alshynbayev. "Theoretical and practical foundations of the use of parallel computing in solving problems of numerical methods in the educational process." BULLETIN of the L.N. Gumilyov Eurasian National University. PEDAGOGY. PSYCHOLOGY. SOCIOLOGY Series 143, no. 2 (2023): 158–68. http://dx.doi.org/10.32523/2616-6895-2023-143-2-158-168.

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Currently, the development of high-performance parallel computing is one of the modern requirements. There are many unsolved problems in the world. Many of these tasks require highperformance calculations. Therefore, in the field of education, there is a need to use parallel computing in solving problems of numerical methods. This requires professionals who can use parallel computing. This article makes a theoretical analysis of the learning conditions using parallel computing in solving problems of numerical methods in universities around the world and the Republic. The necessity of using par
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SCHEININE, ALAN LOUIS. "PARALLEL COMPUTING AT CRS4." International Journal of Modern Physics C 04, no. 06 (1993): 1315–21. http://dx.doi.org/10.1142/s0129183193001038.

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An overview is given of parallel computing work being done at CRS4 (Centro di Ricerca, Sviluppo e Studi Superiori in Sardegna). Parallel computation projects include: parallelization of a simulation of the interaction of high energy particles with matter (GEANT), domain decomposition for numerical solution of partial differential equations, seismic migration for oil prospecting, finite-element structural analysis, parallel molecular dynamics, a C++ library for distributed processing of specific functions, and real-time visualization of a computer simulation that runs as distributed processes.
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Wu, Qing, Maksym Spiryagin, Ingemar Persson, Chris Bosomworth, and Colin Cole. "Parallel computing of wheel-rail contact." Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit 234, no. 10 (2019): 1109–16. http://dx.doi.org/10.1177/0954409719880737.

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Railway wheel–rail contact simulations are the most important and time-consuming tasks when simulating the system dynamics of vehicles. Parallel computing is a good approach for improving the numerical computing speed. This paper reports the advances in parallel computing of the wheel–rail contact simulations. The proposed method uses OpenMP to parallelise the multiple contact points of all the wheel–rail interfaces of a locomotive model. The method has been implemented in the vehicle system dynamics simulation package GENSYS. Simulations were conducted using two numerical solvers (4th Runge-K
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Wachmann, B., and S. Schwarzer. "Three-Dimensional Massively Parallel Computing of Suspensions." International Journal of Modern Physics C 09, no. 05 (1998): 759–75. http://dx.doi.org/10.1142/s0129183198000662.

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Numerical simulations of suspensions often suffer from the fact that the simulated systems are rather small compared to experimental setups. We present a numerical scheme for non-Brownian particle-liquid mixtures in three dimensions at particle Reynolds numbers between 0.01 and 20 and describe its parallel implementation. The fluid equations are solved by a time-explicit pressure-implicit Navier–Stokes algorithm and the particle motion is tracked by molecular-dynamics methods. The two are coupled by imposing no-slip boundary conditions between the particles and the fluid. We integrate the stre
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Quintana-Ortí, Gregorio, and Enrique S. Quintana-Ortí. "Parallel codes for computing the numerical rank." Linear Algebra and its Applications 275-276 (May 1998): 451–70. http://dx.doi.org/10.1016/s0024-3795(97)10032-5.

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Sharapov, Dmitry. "Building accurate numerical models." E3S Web of Conferences 583 (2024): 07012. http://dx.doi.org/10.1051/e3sconf/202458307012.

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Numerical modeling has emerged as a crucial tool across various scientific and engineering disciplines, enabling the simulation and prediction of complex systems. This paper explores the comprehensive process of numerical model development, encompassing problem definition, mathematical formulation, discretization, implementation, and validation. High-performance computing (HPC) technologies, including supercomputers and parallel processing, play a pivotal role in managing large-scale simulations and enhancing computational efficiency. Key strategies such as algorithm optimization, parallel com
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Lai, Jianqi, Fengshun Lu, Xingzhi Hu, Lin Hou, Zhiren Wang, and Xiong Jiang. "Numerical simulation of supersonic combustion chemical reactions based on multi-GPUs." Journal of Physics: Conference Series 2764, no. 1 (2024): 012044. http://dx.doi.org/10.1088/1742-6596/2764/1/012044.

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Abstract To achieve a large-scale and efficient numerical solution to supersonic combustion chemical reaction problems, a numerical simulation algorithm for combustion chemical reactions was established on a graphics processing unit (GPU). Numerical simulation of the combustion chemical reaction of a hydrocarbon fuel/air mixture in a supersonic combustor was conducted to verify the accuracy of GPU parallel calculation results and analyze its parallel performance. Numerical results show that GPU parallel computing can accurately simulate the complex flowfield in the combustor. The distribution
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Yu, Zongze, Yuguang Wei, and Chuxuan Hu. "Numerical simulation and parallel implementation of freight train air brake system." PLOS One 20, no. 6 (2025): e0326844. https://doi.org/10.1371/journal.pone.0326844.

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Numerical simulations of railway air brake systems are becoming increasingly computationally demanding due to the growing complexity and length of trains. This study introduces a parallel computing-enhanced model for simulating pressure dynamics in heavy-haul trains. The proposed approach assigns dedicated threads to each vehicle, with additional threads managing the interface fluxes of brake pipe connections, and is implemented in C# using the ThreadPool and Parallel libraries. A train configuration consisting of one locomotive and 116 vehicles was simulated under various brake pipe pressure
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Makhmut, E., T. S. Imankulov, and B. Matkerim. "Design and development of a hybrid (mpi+cuda) parallel program for solving the oil displacement problem." Bulletin of the National Engineering Academy of the Republic of Kazakhstan 91, no. 1 (2024): 72–82. http://dx.doi.org/10.47533/2024.1606-146x.08.

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In this work, a numerical model of oil displacement was developed using parallel computing technology through the Buckley-Leverett method. Used the hybrid (MPI + CUDA (2 GPU)) high-performance parallel computing technologies. The main goal of this work is by using these two GPU to implement computing processes of distributed data through the MPI, as well as to make a comparative analysis of the computing time and acceleration of parallel algorithms. The MPI, CUDA, hybrid (MPI + CUDA) parallel computing algorithm and the parallel program were realized, and the results were analyzed.
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Dissertations / Theses on the topic "Parallel numerical computing"

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Yang, Yong. "Efficient parallel genetic algorithms applied to numerical optimisation." Thesis, Southampton Solent University, 2008. http://ssudl.solent.ac.uk/631/.

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This research is concerned with the optimisation of multi-modal numerical problems using genetic algorithms (GAs). GAs use randomised operators operating over a population of candidate solutions to generate new points in the search space. As the scale and complexity of target applications increase, run time becomes a major inhibitor. Parallel genetic algorithms (PGAs) have therefore become an important area of research. Coarse-grained implementations are one of the most popular models and many researchers are concerned primarily with this area. The island model was the only one class of parall
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Albaiz, Abdulaziz (Abdulaziz Mohammad). "MPI-based scalable computing platform for parallel numerical application." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/95562.

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Thesis: S.M., Massachusetts Institute of Technology, Computation for Design and Optimization Program, 2014.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (page 61).<br>Developing parallel numerical applications, such as simulators and solvers, involves a variety of challenges in dealing with data partitioning, workload balancing, data dependencies, and synchronization. Many numerical applications share the need for an underlying parallel framework for parallelization on multi-core/multi-machine hardware. In this thesis, a computing platform for parallel numeri
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Kumar, Ravi R. "NUMERICAL INVESTIGATION AND PARALLEL COMPUTING FOR THERMAL TRANSPORT MECHANISM DURING NANOMACHINING." UKnowledge, 2007. http://uknowledge.uky.edu/gradschool_theses/425.

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Nano-scale machining, or Nanomachining is a hybrid process in which the total thermal energy necessary to remove atoms from a work-piece surface is applied from external sources. In the current study, the total thermal energy necessary to remove atoms from a work-piece surface is applied from two sources: (1) localized energy from a laser beam focused to a micron-scale spot to preheat the work-piece, and (2) a high-precision electron-beam emitted from the tips of carbon nano-tubes to remove material via evaporation/sublimation. Macro-to-nano scale heat transfer models are discussed for underst
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Baladron, Pezoa Javier. "Exploring the neural codes using parallel hardware." Phd thesis, Université Nice Sophia Antipolis, 2013. http://tel.archives-ouvertes.fr/tel-00847333.

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The aim of this thesis is to understand the dynamics of large interconnected populations of neurons. The method we use to reach this objective is a mixture of mesoscopic modeling and high performance computing. The rst allows us to reduce the complexity of the network and the second to perform large scale simulations. In the rst part of this thesis a new mean eld approach for conductance based neurons is used to study numerically the eects of noise on extremely large ensembles of neurons. Also, the same approach is used to create a model of one hypercolumn from the primary visual cortex where
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Dias, dos Santos Jose. "Implementation and comparison of numerical algorithms for the solution of linear systems using transputer networks." Thesis, University of Kent, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.256255.

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Eisenlohr, John Merrick. "Parallel ILU Preconditioning for Structured Grid Matrices." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1429820221.

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Karaismail, Ertan. "Numerical Simulation Of Radiating Flows." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12606452/index.pdf.

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Predictive accuracy of the previously developed coupled code for the solution of the time-dependent Navier-Stokes equations in conjunction with the radiative transfer equation was first assessed by applying it to the prediction of thermally radiating, hydrodynamically developed laminar pipe flow for which the numerical solution had been reported in the literature. The effect of radiation on flow and temperature fields was demonstrated for different values of conduction to radiation ratio. It was found that the steady-state temperature predictions of the code agree well with the benchmark solut
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Tarhan, Tanil. "Numerical Simulation Of Laminar Reacting Flows." Phd thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/2/12605307/index.pdf.

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Novel sequential and parallel computational fluid dynamic (CFD) codes based on method of lines (MOL) approach were developed for the numerical simulation of multi-component reacting flows using detailed transport and thermodynamic models. Both codes were applied to the prediction of a confined axisymmetric laminar co-flowing methane-air diffusion flame for which experimental data were available in the literature. Flame-sheet model for infinite-rate chemistry and one-, two-, and five- and ten-step reduced finite-rate reaction mechanisms were employed for methane-air combustion sub-model. A seco
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Kazazakis, Nikolaos. "Parallel computing, interval derivative methods, heuristic algorithms, and their implementation in a numerical solver, for deterministic global optimization." Thesis, Imperial College London, 2016. http://hdl.handle.net/10044/1/45359.

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This thesis presents new algorithms for the deterministic global optimization of general non-linear programming problems (NLPs). It is proven that the αBB general underestimator may provide exact lower bounds on a function only if rigorous conditions are satisfied. These conditions are derived and the μ-subenergy methodology is proposed to achieve tighter αBB underestimation when they are violated. An interval lower bounding test is proposed to improve αBB lower bounds and avoid expensive algorithmic steps. Piecewise-linear relaxations (PLR) are proposed for the underestimation of general func
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Skjerven, Brian M. "A parallel implementation of an agent-based brain tumor model." Link to electronic thesis, 2007. http://www.wpi.edu/Pubs/ETD/Available/etd-060507-172337/.

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Thesis (M.S.) -- Worcester Polytechnic Institute.<br>Keywords: Visualization; Numerical analysis; Computational biology; Scientific computation; High-performance computing. Includes bibliographical references (p.19).
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Books on the topic "Parallel numerical computing"

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H, Press William, ed. Numerical recipes in Fortran 90: The art of parallel scientific computing. 2nd ed. Cambridge University Press, 1996.

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Bahi, Jacques Mohcine. Parallel iterative algorithms: From sequential to grid computing. Chapman & Hall/CRC, 2008.

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International Symposium on Computing Methods in Applied Sciences and Engineering (7th 1985 Versailles, France). Computing methods in applied sciences and engineering, VII: Proceedings of the Seventh International Symposium on Computing Methods in Applied Sciences and Engineering, Versailles, France, December 9-13, 1985. North-Holland, 1986.

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International, Conference on Computing Methods in Applied Sciences and Engineering (10th 1992 Paris France). Proceedings of the 10th International Conference on Computing Methods in Applied Sciences and Engineering, Paris (Le Vésinet), France, February 11-14, 1992. Nova Science Publishers, 1991.

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service), SpringerLink (Online, ed. Applied Parallel and Scientific Computing: 10th International Conference, PARA 2010, Reykjavík, Iceland, June 6-9, 2010, Revised Selected Papers, Part II. Springer Berlin Heidelberg, 2012.

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service), SpringerLink (Online, ed. Applied Parallel and Scientific Computing: 10th International Conference, PARA 2010, Reykjavík, Iceland, June 6-9, 2010, Revised Selected Papers, Part I. Springer Berlin Heidelberg, 2012.

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Romania) International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (12th 2010 Timișoara. 12th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing: Proceedings : SYNASC 2010, 23-26 September 2010, Timișoara, Romania. IEEE Computer Society, 2010.

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Timișoara, Romania) International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (8th 2006. SYNASC 2006: Eighth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing : proceedings : 26-29 September, 2006, Timisoara, Romania. IEEE Computer Society, 2007.

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Romania) International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (9th 2007 Timișoara. Ninth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing: SYNASC 2007 : Timișoara, Romania : September 26-29, 2007 : proceedings. IEEE Computer Society, 2007.

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International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (10th 2008 Timișoara, Romania). Proceedings of the 10th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing: 26-29 September 2008, Timișoara, Romania. IEEE Computer Society, 2009.

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Book chapters on the topic "Parallel numerical computing"

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Kalé, Laxmikant V., Abhinav Bhatele, Eric J. Bohm, et al. "Numerical Algorithms." In Encyclopedia of Parallel Computing. Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-09766-4_2034.

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Kalé, Laxmikant V., Abhinav Bhatele, Eric J. Bohm, et al. "Numerical Libraries." In Encyclopedia of Parallel Computing. Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-09766-4_2035.

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Dongarra, Jack, Piotr Luszczek, Paul Feautrier, et al. "Libraries, Numerical." In Encyclopedia of Parallel Computing. Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-09766-4_2088.

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Magoulès, Frédéric, François-Xavier Roux, and Guillaume Houzeaux. "Basics of Numerical Matrix Analysis." In Parallel Scientific Computing. John Wiley & Sons, Inc., 2015. http://dx.doi.org/10.1002/9781118761687.ch4.

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Dongarra, Jack, Piotr Luszczek, Paul Feautrier, et al. "Linear Algebra, Numerical." In Encyclopedia of Parallel Computing. Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-09766-4_126.

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Kalé, Laxmikant V., Abhinav Bhatele, Eric J. Bohm, et al. "Numerical Linear Algebra." In Encyclopedia of Parallel Computing. Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-09766-4_2081.

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Choi, Jaeyoung, Jack J. Dongarra, Roldan Pozo, and David W. Walker. "Constructing numerical software libraries for high-performance computing environments." In Parallel Scientific Computing. Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/bfb0030144.

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Filippone, Salvatore, and Maria Loredana Sales. "Experiences in numerical software on IBM distributed memory architectures." In Parallel Scientific Computing. Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/bfb0030149.

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Blaheta, R., O. Jakl, J. Starý, and Erhan Turan. "Parallel Solvers for Numerical Upscaling." In Applied Parallel and Scientific Computing. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36803-5_27.

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Harrod, William J., and Majed Sidani. "Numerical algorithms for the Cray T3D (Cray massively parallel computer)." In Parallel Scientific Computing. Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/bfb0030158.

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Conference papers on the topic "Parallel numerical computing"

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Qinghai Miao, Min Huang, and Qing Wei. "Parallel computing of Numerical Manifold Method with OpenMP." In 2009 IEEE Youth Conference on Information, Computing and Telecommunication (YC-ICT). IEEE, 2009. http://dx.doi.org/10.1109/ycict.2009.5382399.

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Zhang, Jianan, Kai Ma, Feng Feng, Zhihao Zhao, Wei Zhang, and Qijun Zhang. "Distributed parallel computing technique for EM modeling." In 2015 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO). IEEE, 2015. http://dx.doi.org/10.1109/nemo.2015.7415019.

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BALAJI, V. "PARALLEL NUMERICAL KERNELS FOR CLIMATE MODELS." In Proceedings of the Ninth ECMWF Workshop on the Use of High Performance Computing in Meteorology. WORLD SCIENTIFIC, 2001. http://dx.doi.org/10.1142/9789812799685_0025.

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Gao Shuang-wu and Qiang Hong-fu. "Parallel computing for SRM numerical simulation using a partitioned method." In 2011 IEEE International Conference on Computer Science and Automation Engineering (CSAE). IEEE, 2011. http://dx.doi.org/10.1109/csae.2011.5952663.

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Zeng, Yaoyuan, Wentao Zhao, and Zhenghua Wang. "Large-scale numerical simulation of laser propulsion by parallel computing." In 2nd International Symposium on Laser Interaction with Matter (LIMIS 2012), edited by Stefan Kaierle, Jingru Liu, and Jianlin Cao. SPIE, 2013. http://dx.doi.org/10.1117/12.2011249.

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Altybay, Arshyn, Aruzhan Nakiskhozhayeva, and Dauren Darkenbayev. "Numerical simulation and parallel computing of the acoustic wave equation." In INTERNATIONAL CONFERENCE ON ANALYSIS AND APPLIED MATHEMATICS (ICAAM 2022). AIP Publishing, 2024. http://dx.doi.org/10.1063/5.0194676.

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Kothari, S. C., Jaekyu Cho, Yunbo Deng, et al. "Software tools and parallel computing for numerical weather prediction models." In Proceedings 16th International Parallel and Distributed Processing Symposium. IPDPS 2002. IEEE, 2002. http://dx.doi.org/10.1109/ipdps.2002.1016656.

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Allen, Jeffrey B., and David L. Smith. "Numerical Modeling of Turbulent, Parallel, Round Jets." In 2010 DoD High Performance Computing Modernization Program Users Group Conference (HPCMP-UGC). IEEE, 2010. http://dx.doi.org/10.1109/hpcmp-ugc.2010.32.

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Wen, Peng, and Wei Qiu. "CIP and Parallel Computing Based Numerical Solutions of 3-D Slamming Problems." In ASME 2015 34th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/omae2015-41292.

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This paper presents the further development of numerical simulation method to solve 3-D highly non-linear slamming problems using parallel computing algorithms. The water entry problems are treated as multi-phase problems (solid, water and air) and governed by the Navier-Stokes (N-S) equations. They are solved by the three-dimensional constrained interpolation profile (CIP) method. The interfaces between different phases are captured using density functions. In the computation, the 3-D CIP method is employed for the advection phase of the N-S equations and a pressure-based algorithm is applied
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Choudhary, Niket K., Sandeep Navada, Rakesh Ginjupalli, and Gaurav Khanna. "An Exploration of OpenCL on Multiple Hardware Platforms for a Numerical Relativity Application." In Parallel and Distributed Computing and Systems. ACTAPRESS, 2012. http://dx.doi.org/10.2316/p.2012.757-018.

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Reports on the topic "Parallel numerical computing"

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Malej, Matt, Fengyan Shi, Nigel Tozer, et al. FUNWAVE-TVD testbed : analytical, laboratory, and field cases for validation and verification of the phase-resolving nearshore Boussinesq-type numerical wave model. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/49183.

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Over the last couple of decades, advancements in high-performance computing have allowed phase-resolving, Boussinesq-type numerical wave models to be more practical in addressing nearshore coastal wave processes. As such, the open-source Fully Nonlinear Wave model–Total Variation Diminishing (FUNWAVE-TVD) numerical wave model has become more ubiquitous across all scientific and engineering-focused R&amp;D organizations, including academic, government, and industry partners. In collaboration with the US Army Engineer Research and Development Center, Coastal and Hydraulics Laboratory; the Univer
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Tan, Peng, and Nicholas Sitar. Parallel Level-Set DEM (LS-DEM) Development and Application to the Study of Deformation and Flow of Granular Media. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, 2023. http://dx.doi.org/10.55461/kmiz5819.

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We present a systematic investigation of computational approaches to the modeling of granular materials. Granular materials are ubiquitous in everyday life and in a variety of engineering and industrial applications. Despite the apparent simplicity of the laws governing particle-scale interactions, predicting the continuum mechanical response of granular materials still poses extraordinary challenges. This is largely due to the complex history dependence resulting from continuous rearrangement of the microstructure of granular material, as well as the mechanical interlocking due to grain morph
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