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Статті в журналах з теми "Large-scale parallel simulations"
Kwon, Sung Jin, Young Min Lee, and Se Young Im. "Parallel Computation of Large-Scale Molecular Dynamics Simulations." Key Engineering Materials 326-328 (December 2006): 341–44. http://dx.doi.org/10.4028/www.scientific.net/kem.326-328.341.
Повний текст джерелаEller, Paul R., Jing-Ru C. Cheng, Hung V. Nguyen, and Robert S. Maier. "Improving parallel performance of large-scale watershed simulations." Procedia Computer Science 1, no. 1 (May 2010): 801–8. http://dx.doi.org/10.1016/j.procs.2010.04.086.
Повний текст джерелаWalther, Jens H., and Ivo F. Sbalzarini. "Large‐scale parallel discrete element simulations of granular flow." Engineering Computations 26, no. 6 (August 21, 2009): 688–97. http://dx.doi.org/10.1108/02644400910975478.
Повний текст джерелаBerrone, Stefano, Sandra Pieraccini, Stefano Scialò, and Fabio Vicini. "A Parallel Solver for Large Scale DFN Flow Simulations." SIAM Journal on Scientific Computing 37, no. 3 (January 2015): C285—C306. http://dx.doi.org/10.1137/140984014.
Повний текст джерелаFujimoto, Y., N. Fukuda, and T. Akabane. "Massively parallel architectures for large scale neural network simulations." IEEE Transactions on Neural Networks 3, no. 6 (1992): 876–88. http://dx.doi.org/10.1109/72.165590.
Повний текст джерелаCytowski, Maciej, and Zuzanna Szymanska. "Large-Scale Parallel Simulations of 3D Cell Colony Dynamics." Computing in Science & Engineering 16, no. 5 (September 2014): 86–95. http://dx.doi.org/10.1109/mcse.2014.2.
Повний текст джерелаKurowski, Krzysztof, Tomasz Piontek, Piotr Kopta, Mariusz Mamoński, and Bartosz Bosak. "Parallel Large Scale Simulations in the PL-Grid Environment." Computational Methods in Science and Technology Special Issue, no. 1 (2010): 47–56. http://dx.doi.org/10.12921/cmst.2010.si.01.47-56.
Повний текст джерелаPolizzi, Eric, and Ahmed Sameh. "Parallel Algorithms for Large-Scale Nanoelectronics Simulations Using NESSIE." Journal of Computational Electronics 3, no. 3-4 (October 2004): 363–66. http://dx.doi.org/10.1007/s10825-004-7078-1.
Повний текст джерелаFlanigan, M., and P. Tamayo. "Parallel cluster labeling for large-scale Monte Carlo simulations." Physica A: Statistical Mechanics and its Applications 215, no. 4 (May 1995): 461–80. http://dx.doi.org/10.1016/0378-4371(95)00019-4.
Повний текст джерелаRadeke, Charles A., Benjamin J. Glasser, and Johannes G. Khinast. "Large-scale powder mixer simulations using massively parallel GPUarchitectures." Chemical Engineering Science 65, no. 24 (December 2010): 6435–42. http://dx.doi.org/10.1016/j.ces.2010.09.035.
Повний текст джерелаДисертації з теми "Large-scale parallel simulations"
Benson, Kirk C. "Adaptive Control of Large-Scale Simulations." Diss., Georgia Institute of Technology, 2004. http://hdl.handle.net/1853/5002.
Повний текст джерелаPulla, Gautam. "High Performance Computing Issues in Large-Scale Molecular Statics Simulations." Thesis, Virginia Tech, 1999. http://hdl.handle.net/10919/33206.
Повний текст джерелаMaster of Science
Kamal, Tariq. "Computational Cost Analysis of Large-Scale Agent-Based Epidemic Simulations." Diss., Virginia Tech, 2016. http://hdl.handle.net/10919/82507.
Повний текст джерелаPh. D.
De, Grande Robson E. "Dynamic Load Balancing Schemes for Large-scale HLA-based Simulations." Thèse, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/23110.
Повний текст джерелаLi, Qiang. "Simulations of turbulent boundary layers with heat transfer." Licentiate thesis, Stockholm : Skolan för teknikvetenskap, Kungliga Tekniska högskolan, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-11320.
Повний текст джерелаVerma, Poonam Santosh. "Large Scale Computer Investigations of Non-Equilibrium Surface Growth for Surfaces From Parallel Discrete Event Simulations." MSSTATE, 2004. http://sun.library.msstate.edu/ETD-db/theses/available/etd-04192004-140532/.
Повний текст джерелаKelling, Jeffrey [Verfasser], Sibylle [Akademischer Betreuer] Gemming, Sibylle [Gutachter] Gemming, and Martin [Gutachter] Weigel. "Efficient Parallel Monte-Carlo Simulations for Large-Scale Studies of Surface Growth Processes / Jeffrey Kelling ; Gutachter: Sibylle Gemming, Martin Weigel ; Betreuer: Sibylle Gemming." Chemnitz : Technische Universität Chemnitz, 2018. http://d-nb.info/121482109X/34.
Повний текст джерелаDad, Cherifa. "Méthodologie et algorithmes pour la distribution large échelle de co-simulations de systèmes complexes : application aux réseaux électriques intelligents (Smart Grids)." Electronic Thesis or Diss., CentraleSupélec, 2018. http://www.theses.fr/2018CSUP0004.
Повний текст джерелаThe emergence of Smart Grids is causing profound changes in the electricity distribution business. Indeed, these networks are seeing new uses (electric vehicles, air conditioning) and new decentralized producers (photovoltaic, wind), which make it more difficult to ensure a balance between electricity supply and demand, and imposes to introduce a form of distributed intelligence between their different components. Considering its complexity and the extent of its implementation, it is necessary to co-simulate it in order to validate its performances. In the RISEGrid institute, CentraleSupélec and EDF R&D have developed a co-simulation platform based on the FMI2 (Functional Mock-up Interface) standard called DACCOSIM, permitting to design and develop Smart Grids. The key components of this platform are represented as gray boxes called FMUs (Functional Mock-up Unit). In addition, simulators of the physical systems of Smart Grids can make backtracking when an inaccuracy is suspected in FMU computations, unlike discrete simulators (control units) that often can only advance in time. In order these different simulators collaborate, we designed a hybrid solution that takes into account the constraints of all the components, and precisely identifies the types of the events that system is facing. This study has led to a FMI standard change proposal. Moreover, it is difficult to rapidly design an efficient Smart Grid simulation, especially when the problem has a national or even a regional scale.To fill this gap,we have focused on the most computationally intensive part, which is the simulation of physical devices. We have therefore proposed methodologies, approaches and algorithms to quickly and efficiently distribute these different FMUs on distributed architectures. The implementation of these algorithms has already allowed simulating large-scale business cases on a multi-core PC cluster. The integration of these methods into DACCOSIM will enable EDF engineers to design « large scale Smart Grids » which will be more resistant to breakdowns
Tarabay, Ranine. "Simulations des écoulements sanguins dans des réseaux vasculaires complexes." Thesis, Strasbourg, 2016. http://www.theses.fr/2016STRAD034/document.
Повний текст джерелаTowards a large scale 3D computational model of physiological hemodynamics, remarkable progress has been made in simulating blood flow in realistic anatomical models constructed from three-dimensional medical imaging data in the past few decades. When accurate anatomic models are of primary importance in simulating blood flow, realistic boundary conditions are equally important in computing velocity and pressure fields. Thus, the first target of this thesis was to investigate the convergence analysis of the unknown fields for various types of boundary conditions allowing for a flexible framework with respect to the type of input data (velocity, pressure, flow rate, ...). In order to deal with the associated large computational cost, requiring high performance computing, we were interested in comparing the performance of two block preconditioners; the least-squared commutator preconditioner and the pressure convection diffusion preconditioner. We implemented the latter, in the context of this thesis, in the Feel++ library. With the purpose of handling the fluid-structure interaction, we focused of the approximation of the force exerted by the fluid on the structure, a field that is essential while setting the continuity condition to ensure the coupling of the fluid model with the structure model. Finally, in order to assess our numerical choices, two benchmarks (the FDA benchmark and the Phantom benchmark) were carried out, and a comparison with respect to experimental and numerical data was established and validated
Grass, Thomas. "Simulation methodologies for future large-scale parallel systems." Doctoral thesis, Universitat Politècnica de Catalunya, 2017. http://hdl.handle.net/10803/461198.
Повний текст джерелаDes dels principis dels anys 2000, els sistemes d'ordinadors han experimentat una transició de sistemes d'un sol nucli a sistemes de múltiples nuclis. Mentre els sistemes d'un sol nucli incloïen només un nucli en un xip, els sistemes actuals de múltiples nuclis n'inclouen desenes, una tendència que probablement continuarà en el futur. Avui en dia, els processadors de múltiples nuclis són omnipresents. Es fan servir en totes les classes de sistemes de computació, de telèfons mòbils de baix cost fins a sistemes de computació d'alt rendiment. Dissenyar els futurs sistemes de múltiples nuclis és un repte important. L'eina principal usada pels arquitectes de computadors, tant a l'acadèmia com a la indústria, és la simulació. Simular un ordinador executant un programa típicament és múltiples ordres de magnitud més lent que executar el mateix programa en un sistema real. Per tant, es necessiten noves tècniques per accelerar la simulació i permetre l'exploració de grans espais de disseny en un temps raonable. Una manera d'accelerar la velocitat de simulació és la simulació mostrejada. La simulació mostrejada redueix el temps de simulació simulant en detall només un subconjunt representatiu d¿un programa. En aquesta tesi es presenta una anàlisi de rendiment d'una col·lecció de programes basats en tasques. Com a resultat d'aquesta anàlisi, proposem TaskPoint, una metodologia de simulació mostrejada per programes basats en tasques. Els models de programació basats en tasques poden reduir els costos de sincronització de programes paral·lels executats en sistemes de múltiples nuclis i actualment estan guanyant importància. Finalment, presentem MUSA, una metodologia de simulació per simular aplicacions executant-se en milers de nuclis d'un sistema híbrid, que consisteix en nodes de memòria compartida que formen un sistema de memòria distribuïda. El temps que requereixen les simulacions amb MUSA és comparable amb el temps que triga l'execució nativa en un sistema d'alt rendiment en producció. Les tècniques desenvolupades al llarg d'aquesta tesi permeten simular execucions de programes que abans no eren viables, tant als investigadors com als enginyers que treballen en l'arquitectura de computadors. Per tant, aquest treball habilita futura recerca en el camp d'arquitectura de sistemes de memòria compartida o distribuïda, o bé de sistemes híbrids, a gran escala.
A principios de los años 2000, los sistemas de ordenadores experimentaron una transición de sistemas con un núcleo a sistemas con múltiples núcleos. Mientras los sistemas single-core incluían un sólo núcleo, los sistemas multi-core incluyen decenas de núcleos en el mismo chip, una tendencia que probablemente continuará en el futuro. Hoy en día, los procesadores multi-core son omnipresentes. Se utilizan en todas las clases de sistemas de computación, de teléfonos móviles de bajo coste hasta sistemas de alto rendimiento. Diseñar sistemas multi-core del futuro es un reto importante. La herramienta principal usada por arquitectos de computadores, tanto en la academia como en la industria, es la simulación. Simular un computador ejecutando un programa típicamente es múltiples ordenes de magnitud más lento que ejecutar el mismo programa en un sistema real. Por ese motivo se necesitan nuevas técnicas para acelerar la simulación y permitir la exploración de grandes espacios de diseño dentro de un tiempo razonable. Una manera de aumentar la velocidad de simulación es la simulación muestreada. La simulación muestreada reduce el tiempo de simulación simulando en detalle sólo un subconjunto representativo de la ejecución entera de un programa. En esta tesis presentamos un análisis de rendimiento de una colección de programas basados en tareas. Como resultado de este análisis presentamos TaskPoint, una metodología de simulación muestreada para programas basados en tareas. Los modelos de programación basados en tareas pueden reducir los costes de sincronización de programas paralelos ejecutados en sistemas multi-core y actualmente están ganando importancia. Finalmente, presentamos MUSA, una metodología para simular aplicaciones ejecutadas en miles de núcleos de un sistema híbrido, compuesto de nodos de memoria compartida que forman un sistema de memoria distribuida. El tiempo de simulación que requieren las simulaciones con MUSA es comparable con el tiempo necesario para la ejecución del programa simulado en un sistema de alto rendimiento en producción. Las técnicas desarolladas al largo de esta tesis permiten a los investigadores e ingenieros trabajando en la arquitectura de computadores simular ejecuciones largas, que antes no se podían simular. Nuestro trabajo facilita nuevos caminos de investigación en los campos de sistemas de memoria compartida o distribuida y en sistemas híbridos.
Книги з теми "Large-scale parallel simulations"
Dinavahi, Venkata, and Ning Lin. Parallel Dynamic and Transient Simulation of Large-Scale Power Systems. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-86782-9.
Повний текст джерелаEUROSIM '96 (1996 Delft, Netherlands). EUROSIM '96, HPCN challenges in telecomp and telecom: Parallel simulation of complex systems and large-scale applications : proceedings of the EUROSIM international conference, 10-12 June 1996, Delft, The Netherlands. Amsterdam: Elsevier, 1996.
Знайти повний текст джерела(Editor), L. Dekker, W. Smit (Editor), and J. C. Zuidervaart (Editor), eds. HPCN Challenges in Telecomp and Telecom: Parallel Simulation of Complex Systems and Large-Scale Applications. Elsevier Science Pub Co, 1996.
Знайти повний текст джерелаLin, Ning, and Venkata Dinavahi. Parallel Dynamic and Transient Simulation of Large-Scale Power Systems: A High-Performance Computing Solution. Springer International Publishing AG, 2021.
Знайти повний текст джерелаЧастини книг з теми "Large-scale parallel simulations"
Nagel, Kai, Marcus Rickert, and Christopher L. Barrett. "Large scale traffic simulations." In Vector and Parallel Processing — VECPAR'96, 380–402. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-62828-2_131.
Повний текст джерелаMasson, Roland, Philippe Quandalle, Stéphane Requena, and Robert Scheichl. "Parallel Preconditioning for Sedimentary Basin Simulations." In Large-Scale Scientific Computing, 93–102. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24588-9_9.
Повний текст джерелаKosturski, N., S. Margenov, and Y. Vutov. "Improving the Efficiency of Parallel FEM Simulations on Voxel Domains." In Large-Scale Scientific Computing, 574–81. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29843-1_65.
Повний текст джерелаShankar, Vijaya, Adour Kabakian, Chris Rowell, and Touraj Sahely. "Large-Scale Parallel Simulations in Computational Electromagnetics." In Computational Fluid Dynamics 2000, 411–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-56535-9_61.
Повний текст джерелаAntonelli, Laura, Pasqua D’Ambra, Francesco Gregoretti, Gennaro Oliva, and Paola Belardini. "A Parallel Combustion Solver within an Operator Splitting Context for Engine Simulations on Grids." In Large-Scale Scientific Computing, 167–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-78827-0_17.
Повний текст джерелаWu, Xingfu, Benchun Duan, and Valerie Taylor. "Parallel Earthquake Simulations on Large-Scale Multicore Supercomputers." In Handbook of Data Intensive Computing, 539–62. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-1415-5_21.
Повний текст джерелаKwon, Sung Jin, Young Min Lee, and Se Young Im. "Parallel Computation of Large-Scale Molecular Dynamics Simulations." In Experimental Mechanics in Nano and Biotechnology, 341–44. Stafa: Trans Tech Publications Ltd., 2006. http://dx.doi.org/10.4028/0-87849-415-4.341.
Повний текст джерелаCui, Yifeng, Reagan Moore, Kim Olsen, Amit Chourasia, Philip Maechling, Bernard Minster, Steven Day, et al. "Enabling Very-Large Scale Earthquake Simulations on Parallel Machines." In Computational Science – ICCS 2007, 46–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-72584-8_7.
Повний текст джерелаSilva, Rômulo M., Benaia S. J. Lima, José J. Camata, Renato N. Elias, and Alvaro L. G. A. Coutinho. "Communication–Free Parallel Mesh Multiplication for Large Scale Simulations." In High Performance Computing for Computational Science – VECPAR 2018, 3–15. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15996-2_1.
Повний текст джерелаLöhner, R., J. D. Baum, Ch Charman, and D. Pelessone. "Large-Scale Fluid-Structure Interaction Simulations Using Parallel Computers." In Lecture Notes in Computational Science and Engineering, 3–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-642-55919-8_1.
Повний текст джерелаТези доповідей конференцій з теми "Large-scale parallel simulations"
Chen, Yan, Hui Liu, Kun Wang, Zhangxin Chen, Yanfeng He, Bo Yang, and Peng Zhang. "Large-Scale Reservoir Simulations on Parallel Computers." In 2016 IEEE 2nd International Conference on Big Data Security on Cloud (BigDataSecurity), IEEE International Conference on High Performance and Smart Computing (HPSC) and IEEE International Conference on Intelligent Data and Security (IDS). IEEE, 2016. http://dx.doi.org/10.1109/bigdatasecurity-hpsc-ids.2016.20.
Повний текст джерела"Large-scale Reservoir Simulations on Distributed-memory Parallel Computers." In 2016 Spring Simulation Multi-Conference. Society for Modeling and Simulation International (SCS), 2016. http://dx.doi.org/10.22360/springsim.2016.hpc.034.
Повний текст джерелаKamal, Tariq, Keith R. Bisset, Ali R. Butt, Youngyun Chungbaek, and Madhav Marathe. "Load balancing in large-scale epidemiological simulations." In HPDC'13: The 22nd International Symposium on High-Performance Parallel and Distributed Computing. New York, NY, USA: ACM, 2013. http://dx.doi.org/10.1145/2462902.2462929.
Повний текст джерелаLi, Xinyuan, Huang Ye, and Jian Zhang. "Large-scale Simulations of Peridynamics on Sunway Taihulight Supercomputer." In ICPP '20: 49th International Conference on Parallel Processing. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3404397.3404421.
Повний текст джерелаLiu, Xing, and Edmond Chow. "Large-Scale Hydrodynamic Brownian Simulations on Multicore and Manycore Architectures." In 2014 IEEE International Parallel & Distributed Processing Symposium (IPDPS). IEEE, 2014. http://dx.doi.org/10.1109/ipdps.2014.65.
Повний текст джерелаRoss, Caitlin, Christopher D. Carothers, Misbah Mubarak, Philip Carns, Robert Ross, Jianping Kelvin Li, and Kwan-Liu Ma. "Visual Data-Analytics of Large-Scale Parallel Discrete-Event Simulations." In 2016 7th International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS). IEEE, 2016. http://dx.doi.org/10.1109/pmbs.2016.014.
Повний текст джерелаNakano, Aiichiro. "Large-scale molecular dynamics simulations of materials on parallel computers." In ADVANCED COMPUTING AND ANALYSIS TECHNIQUES IN PHYSICS RESEARCH: VII International Workshop; ACAT 2000. AIP, 2001. http://dx.doi.org/10.1063/1.1405262.
Повний текст джерелаPolizzi and Sameh. "Numerical parallel algorithms for large-scale nanoelectronics simulations using NESSIE." In Electrical Performance of Electronic Packaging. IEEE, 2004. http://dx.doi.org/10.1109/iwce.2004.1407326.
Повний текст джерелаQiu, Haozhong, Chuanfu Xu, Dali Li, Haoyu Wang, Jie Li, and Zheng Wang. "Parallelizing and Balancing Coupled DSMC/PIC for Large-scale Particle Simulations." In 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS). IEEE, 2022. http://dx.doi.org/10.1109/ipdps53621.2022.00045.
Повний текст джерелаHou, Bonan, Yiping Yao, and Shaoliang Peng. "Empirical Study on Entity Interaction Graph of Large-Scale Parallel Simulations." In 2011 ACM/IEEE/SCS 25th Workshop on Principles of Advanced and Distributed Simulation (PADS). IEEE, 2011. http://dx.doi.org/10.1109/pads.2011.5936762.
Повний текст джерелаЗвіти організацій з теми "Large-scale parallel simulations"
Bader, Brett William, Roger Patrick Pawlowski, and Tamara Gibson Kolda. Robust large-scale parallel nonlinear solvers for simulations. Office of Scientific and Technical Information (OSTI), November 2005. http://dx.doi.org/10.2172/876345.
Повний текст джерелаHiremath, Varun, Steven R. Lantz, Haifeng Wang, and Stephen B. Pope. Large-Scale Parallel Simulations of Turbulent Combustion using Combined Dimension Reduction and Tabulation of Chemistry. Fort Belvoir, VA: Defense Technical Information Center, May 2012. http://dx.doi.org/10.21236/ada569795.
Повний текст джерелаMahinthakumar, K. Multigrid and Krylov Solvers for Large Scale Finite Element Groundwater Flow Simulations on Distributed Memory Parallel Platforms. Office of Scientific and Technical Information (OSTI), January 1997. http://dx.doi.org/10.2172/814802.
Повний текст джерелаBauer, Andrew. In situ and time. Engineer Research and Development Center (U.S.), December 2022. http://dx.doi.org/10.21079/11681/46162.
Повний текст джерелаCarothers, Christopher, and Elsa Gonsiorowski. Modeling Large Scale Circuits Using Massively Parallel Descrete-Event Simulation. Fort Belvoir, VA: Defense Technical Information Center, June 2013. http://dx.doi.org/10.21236/ada586802.
Повний текст джерела