Дисертації з теми "Large-scale parallel simulations"
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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.
Sornil, Ohm. "Parallel Inverted Indices for Large-Scale, Dynamic Digital Libraries." Diss., Virginia Tech, 2001. http://hdl.handle.net/10919/26131.
Повний текст джерелаPh. D.
Gusukuma, Luke. "GPU Based Large Scale Multi-Agent Crowd Simulation and Path Planning." Thesis, Virginia Tech, 2015. http://hdl.handle.net/10919/78098.
Повний текст джерелаMaster of Science
Kodukula, Surya Ravikiran. "An Adaptive Time Window Algorithm for Large Scale Network Emulation." Thesis, Virginia Tech, 2002. http://hdl.handle.net/10919/31160.
Повний текст джерелаMaster of Science
Liu, Xing. "High-performance algorithms and software for large-scale molecular simulation." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/53487.
Повний текст джерелаPerumalla, Kalyan S. "Techniques for efficient parallel simulation and their application to large-scale telecommunication network models." Diss., Georgia Institute of Technology, 1999. http://hdl.handle.net/1853/13086.
Повний текст джерелаUppala, Roshni. "Simulating Large Scale Memristor Based Crossbar for Neuromorphic Applications." University of Dayton / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1429296073.
Повний текст джерелаSun, Yi. "High Performance Simulation of DEVS Based Large Scale Cellular Space Models." Digital Archive @ GSU, 2009. http://digitalarchive.gsu.edu/cs_diss/40.
Повний текст джерелаAhn, Tae-Hyuk. "Computational Techniques for the Analysis of Large Scale Biological Systems." Diss., Virginia Tech, 2012. http://hdl.handle.net/10919/77162.
Повний текст джерелаPh. D.
Zönnchen, Benedikt Sebastian [Verfasser], Hans-Joachim [Akademischer Betreuer] Bungartz, Hans-Joachim [Gutachter] Bungartz, and Gerta [Gutachter] Köster. "Efficient parallel algorithms for large-scale pedestrian simulation / Benedikt Sebastian Zönnchen ; Gutachter: Hans-Joachim Bungartz, Gerta Köster ; Betreuer: Hans-Joachim Bungartz." München : Universitätsbibliothek der TU München, 2021. http://d-nb.info/1237048850/34.
Повний текст джерелаTiew, Chin-Yaw. "On improving the performance of parallel fault simulation for synchronous sequential circuits." Thesis, This resource online, 1993. http://scholar.lib.vt.edu/theses/available/etd-03042009-040323/.
Повний текст джерелаManalo, Kevin. "Detailed analysis of phase space effects in fuel burnup/depletion for PWR assembly & full core models using large-scale parallel computation." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/50351.
Повний текст джерелаLannez, Sébastien. "Optimisation des tournées d'inspection des voies." Phd thesis, INSA de Toulouse, 2010. http://tel.archives-ouvertes.fr/tel-00595070.
Повний текст джерелаAmeli, Mostafa. "Heuristic Methods for Calculating Dynamic Traffic Assignment Simulation-based dynamic traffic assignment: meta-heuristic solution methods with parallel computing Non-unicity of day-to-day multimodal user equilibrium: the network design history effect Improving traffic network performance with road banning strategy: a simulation approach comparing user equilibrium and system optimum." Thesis, Lyon, 2019. http://www.theses.fr/2019LYSET009.
Повний текст джерелаTransport systems are dynamically characterized not only by nonlinear interactions between the different components but also by feedback loops between the state of the network and the decisions of users. In particular, network congestion affects both the distribution of local demand by modifying route choices and overall multimodal demand. Depending on the conditions of the network, they may decide to change for example their transportation mode. Several equilibria can be defined for transportation systems. The user equilibrium corresponds to the situation where each user is allowed to behave selfishly and to minimize his own travel costs. The system optimum corresponds to a situation where the total transport cost of all the users is minimum. In this context, the study aims to calculate route flow patterns in a network considering different equilibrium conditions and study the network equilibrium in a dynamic setting. The study focuses on traffic models capable of representing large-scale urban traffic dynamics. Three main issues are addressed. First, fast heuristic and meta-heuristic methods are developed to determine equilibria with different types of traffic patterns. Secondly, the existence and uniqueness of user equilibria is studied. When there is no uniqueness, the relationship between multiple equilibria is examined. Moreover, the impact of network history is analyzed. Thirdly, a new approach is developed to analyze the network equilibrium as a function of the level of demand. This approach compares user and system optimums and aims to design control strategies in order to move the user equilibrium situation towards the system optimum
Malakar, Preeti. "Integrated Parallel Simulations and Visualization for Large-Scale Weather Applications." Thesis, 2013. http://etd.iisc.ernet.in/2005/3907.
Повний текст джерелаLIN, JUN-XIONG, and 林俊雄. "A parallel simulation model and its synchronization protocol for large scale discrete event simulations." Thesis, 1987. http://ndltd.ncl.edu.tw/handle/71848256931584644343.
Повний текст джерелаKelling, Jeffrey. "Efficient Parallel Monte-Carlo Simulations for Large-Scale Studies of Surface Growth Processes." 2017. https://monarch.qucosa.de/id/qucosa%3A31220.
Повний текст джерелаGitter-Monte-Carlo-Methoden werden zur Untersuchung von Systemen wie Oberflächenwachstum, Spinsystemen oder gemischten Feststoffen verwendet, welche fern eines Gleichgewichtes bleiben oder zu einem streben. Die Anwendungen reichen von der Bestimmung universellen Wachstums- und Alterungsverhaltens hin zu konkreten Systemen, in denen die Reifung von Nanokompositmaterialien oder die Selbstorganisation von funktionalen Nanostrukturen von Interesse sind. In solchen Studien müssen große Systemen über lange Zeiträume betrachtet werden, um Strukturwachstum über mehrere Größenordnungen zu erlauben. Dies erfordert massivparallele Simulationen. Diese Arbeit adressiert das Problem, dass parallele Verarbeitung Korrelationen in Monte-Carlo-Updates verursachen und entwickelt eine praktisch korrelationsfreie Domänenzerlegungsmethode, um es zu lösen. Der Einfluss von Korrelationen auf Skalierungs- und dynamische Eigenschaften von Oberflächenwachtums- sowie verwandten Gittergassystemen wird weitergehend durch den Vergleich von Ergebnissen aus korrelationsfreien und intrinsisch korrelierten Simulationen mit einem stochastischen zellulären Automaten untersucht. Effiziente massiv parallele Implementationen auf Grafikkarten wurden entwickelt, welche großskalige Simulationen und damit präzedenzlos genaue Ergebnisse ermöglichen. Das primäre Studienobjekt ist das (2 + 1)-dimensionale Kardar–Parisi–Zhang- Oberflächenwachstum, welches durch ein Dimer-Gittergas und das Kim-Kosterlitz-Modell simuliert wird. Durch massive Simulationen werden Thesen über Wachstums-, Autokorrelations- und Antworteigenschaften getestet und neue, präzise numerische Vorhersagen zu einigen universellen Parametern getroffen.:1. Introduction 1.1. Motivations and Goals 1.2. Overview 2. Methods and Models 2.1. Estimation of Scaling Exponents and Error Margins 2.2. From Continuum- to Atomistic Models 2.3. Models for Phase Ordering and Nanostructure Evolution 2.3.1. The Kinetic Metropolis Lattice Monte-Carlo Method 2.3.2. The Potts Model 2.4. The Kardar–Parisi–Zhang and Edwards–Wilkinson Universality Classes 2.4.0.1. Physical Aging 2.4.1. The Octahedron Model 2.4.2. The Restricted Solid on Solid Model 3. Parallel Implementation: Towards Large-Scale Simulations 3.1. Parallel Architectures and Programming Models 3.1.1. CPU 3.1.2. GPU 3.1.3. Heterogeneous Parallelism and MPI 3.1.4. Bit-Coding of Lattice Sites 3.2. Domain Decomposition for Stochastic Lattice Models 3.2.1. DD for Asynchronous Updates 3.2.1.1. Dead border (DB) 3.2.1.2. Double tiling (DT) 3.2.1.3. DT DD with random origin (DTr) 3.2.1.4. Implementation 3.2.2. Second DD Layer on GPUs 3.2.2.1. Single-Hit DT 3.2.2.2. Single-Hit dead border (DB) 3.2.2.3. DD Parameters for the Octahedron Model 3.2.3. Performance 3.3. Lattice Level DD: Stochastic Cellular Automaton 3.3.1. Local Approach for the Octahedron Model 3.3.2. Non-Local Approach for the Octahedron Model 3.3.2.1. Bit-Vectorized GPU Implementation 3.3.3. Performance of SCA Implementations 3.4. The Multi-Surface Coding Approach 3.4.0.1. Vectorization 3.4.0.2. Scalar Updates 3.4.0.3. Domain Decomposition 3.4.1. Implementation: SkyMC 3.4.1.1. 2d Restricted Solid on Solid Model 3.4.1.2. 2d and 3d Potts Model 3.4.1.3. Sequential CPU Reference 3.4.2. SkyMC Benchmarks 3.5. Measurements 3.5.0.1. Measurement Intervals 3.5.0.2. Measuring using Heterogeneous Resources 4. Monte-Carlo Investigation of the Kardar–Parisi–Zhang Universality Class 4.1. Evolution of Surface Roughness 4.1.1. Comparison of Parallel Implementations of the Octahedron Model 4.1.1.1. The Growth Regime 4.1.1.2. Distribution of Interface Heights in the Growth Regime 4.1.1.3. KPZ Ansatz for the Growth Regime 4.1.1.4. The Steady State 4.1.2. Investigations using RSOS 4.1.2.1. The Growth Regime 4.1.2.2. The Steady State 4.1.2.3. Consistency of Fine-Size Scaling with Respect to DD 4.1.3. Results for Growth Phase and Steady State 4.2. Autocorrelation Functions 4.2.1. Comparison of DD Methods for RS Dynamics 4.2.1.1. Device-Layer DD 4.2.1.2. Block-Layer DD 4.2.2. Autocorrelation Properties under RS Dynamics 4.2.3. Autocorrelation Properties under SCA Dynamics 4.2.3.1. Autocorrelation of Heights 4.2.3.2. Autocorrelation of Slopes 4.2.4. Autocorrelation in the SCA Steady State 4.2.5. Autocorrelation in the EW Case under SCA 4.2.5.1. Autocorrelation of Heights 4.2.5.2. Autocorrelations of Slopes 4.3. Autoresponse Functions 4.3.1. Autoresponse Properties 4.3.1.1. Autoresponse of Heights 4.3.1.2. Autoresponse of Slopes 4.3.1.3. Self-Averaging 4.4. Summary 5. Further Topics 5.1. Investigations of the Potts Model 5.1.1. Testing Results from the Parallel Implementations 5.1.2. Domain Growth in Disordered Potts Models 5.2. Local Scale Invariance in KPZ Surface Growth 6. Conclusions and Outlook Acknowledgements A. Coding Details A.1. Bit-Coding A.2. Packing and Unpacking Signed Integers A.3. Random Number Generation
Zhang, Keni, George J. Moridis, Yu-Shu Wu, and Karsten Pruess. "A DOMAIN DECOMPOSITION APPROACH FOR LARGE-SCALE SIMULATIONS OF FLOW PROCESSES IN HYDRATE-BEARING GEOLOGIC MEDIA." 2008. http://hdl.handle.net/2429/1166.
Повний текст джерелаWang, Mingchao. "Large-Scale Simulation of Neural Networks with Biophysically Accurate Models on Graphics Processors." Thesis, 2012. http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11161.
Повний текст джерелаHu, Jingzhen. "Biophysically Accurate Brain Modeling and Simulation using Hybrid MPI/OpenMP Parallel Processing." Thesis, 2012. http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11226.
Повний текст джерелаJalili-Marandi, Vahid. "Acceleration of Transient Stability Simulation for Large-Scale Power Systems on Parallel and Distributed Hardware." Phd thesis, 2010. http://hdl.handle.net/10048/1266.
Повний текст джерелаEnergy Systems
Feng, Zhuo. "Modeling and Analysis of Large-Scale On-Chip Interconnects." 2009. http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7142.
Повний текст джерелаHeinze, Georg. "Molekulardynamische Simulation der Oxidation dünner Siliziumnanodrähte: Einfluss von Draht- und Prozessparametern auf die Struktur." 2018. https://monarch.qucosa.de/id/qucosa%3A32834.
Повний текст джерела