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Thèses sur le sujet « Distribute and Parallel Computing »

Auteur : Grafiati

Publié le 9 mars 2023

Mis à jour le 31 juillet 2025

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1

Xu, Lei. "Cellular distributed and parallel computing." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:88ffe124-c2fd-4144-86fe-47b35f4908bd.

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This thesis focuses on novel approaches to distributed and parallel computing that are inspired by the mechanism and functioning of biological cells. We refer to this concept as cellular distributed and parallel computing which focuses on three important principles: simplicity, parallelism, and locality. We first give a parallel polynomial-time solution to the constraint satisfaction problem (CSP) based on a theoretical model of cellular distributed and parallel computing, which is known as neural-like P systems (or neural-like membrane systems). We then design a class of simple neural-like P

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Xiang, Yonghong. "Interconnection networks for parallel and distributed computing." Thesis, Durham University, 2008. http://etheses.dur.ac.uk/2156/.

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Parallel computers are generally either shared-memory machines or distributed- memory machines. There are currently technological limitations on shared-memory architectures and so parallel computers utilizing a large number of processors tend tube distributed-memory machines. We are concerned solely with distributed-memory multiprocessors. In such machines, the dominant factor inhibiting faster global computations is inter-processor communication. Communication is dependent upon the topology of the interconnection network, the routing mechanism, the flow control policy, and the method of switc

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Kim, Young Man. "Some problems in parallel and distributed computing /." The Ohio State University, 1992. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487776210795651.

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Freeh, Vincent William 1959. "Software support for distributed and parallel computing." Diss., The University of Arizona, 1996. http://hdl.handle.net/10150/290588.

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This dissertation addresses creating portable and efficient parallel programs for scientific computing. Both of these aspects are important. Portability means the program can execute on any parallel machine. Efficiency means there is little or no penalty for using our solution instead of hand-coded, architecture-specific programs. Although parallel programming is necessarily more difficult than sequential programming, it is currently more complicated than it has to be. The Filaments package provides fine-grain parallelism and a shared memory programming model. It can be viewed as a "least comm

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Jin, Xiaoming. "A practical realization of parallel disks for a distributed parallel computing system." [Gainesville, Fla.] : University of Florida, 2000. http://etd.fcla.edu/etd/uf/2000/ane5954/master.PDF.

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Thesis (M.S.)--University of Florida, 2000.<br>Title from first page of PDF file. Document formatted into pages; contains ix, 41 p.; also contains graphics. Vita. Includes bibliographical references (p. 39-40).

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馬家駒 and Ka-kui Ma. "Transparent process migration for parallel Java computing." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2001. http://hub.hku.hk/bib/B31226474.

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Ma, Ka-kui. "Transparent process migration for parallel Java computing /." Hong Kong : University of Hong Kong, 2001. http://sunzi.lib.hku.hk/hkuto/record.jsp?B23589371.

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Dutta, Sourav. "PERFORMANCE ESTIMATION AND SCHEDULING FOR PARALLEL PROGRAMS WITH CRITICAL SECTIONS." OpenSIUC, 2017. https://opensiuc.lib.siu.edu/dissertations/1353.

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A fundamental problem in multithreaded parallel programs is the partial serialization that is imposed due to the presence of mutual exclusion variables or critical sections. In this work we investigate a model that considers the threads consisting of an equal number L of functional blocks, where each functional block has the same duration and either accesses a critical section or executes non-critical code. We derived formulas to estimate the average time spent in a critical section in presence of synchronization barrier and in absence of it. We also develop and establish the optimality of a f

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Winter, Stephen Charles. "A distributed reduction architecture for real-time computing." Thesis, University of Westminster, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.238722.

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Valente, Fredy Joao. "An integrated parallel/distributed environment for high performance computing." Thesis, University of Southampton, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.362138.

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Wong, K. W. (Kwok Wa Dennis) Carleton University Dissertation Computer Science. "Partitioning B+-tree in parallel and distributed computing environment." Ottawa, 1994.

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12

Karl, Holger. "Responsive Execution of Parallel Programs in Distributed Computing Environments." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät II, 1999. http://dx.doi.org/10.18452/14455.

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Vernetzte Standardarbeitsplatzrechner (sog. Cluster) sind eine attraktive Umgebung zur Ausf"uhrung paralleler Programme; f"ur einige Anwendungsgebiete bestehen jedoch noch immer ungel"oste Probleme. Ein solches Problem ist die Verl"asslichkeit und Rechtzeitigkeit der Programmausf"uhrung: In vielen Anwendungen ist es wichtig, sich auf die rechtzeitige Fertigstellung eines Programms verlassen zu k"onnen. Mechanismen zur Kombination dieser Eigenschaften f"ur parallele Programme in verteilten Rechenumgebungen sind das Hauptanliegen dieser Arbeit. Zur Behandlung dieses Anliegens ist eine gemein

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Petit, Quentin. "Distributed and Parallel Computing for very Large Neural Networks." Electronic Thesis or Diss., université Paris-Saclay, 2025. http://www.theses.fr/2025UPASG002.

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Les modèles de très grande taille sont aujourd'hui utilisés dans une multitude de domaines variés et ont permis de généraliser et de populariser l'utilisation du Deep Learning pour de nouvelles applications. Cependant, le traitement de ces tâches toujours plus générales a demandé une augmentation exponentielle de la taille de ces modèles, ce qui a également nécessité une puissance de calcul tout aussi importante pour les entraîner. Des solutions innovantes doivent être trouvées et déployées pour à la fois réduire la complexité des algorithmes existants et améliorer le déploiement de ces dernie

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Papay, Juraj. "Performance characterisation of distributed memory MIMD computations." Thesis, University of Warwick, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.310021.

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Bennett, Sidney Page. "Designing a Compiler for a Distributed Memory Parallel Computing System." Thesis, Virginia Tech, 2003. http://hdl.handle.net/10919/9684.

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The SCMP processor presents a unique approach to processor design: integrating multiple processors, a network, and memory onto a single chip. The benefits to this design include a reduction in overhead incurred by synchronization, communication, and memory accesses. To properly determine its effectiveness, the SCMP architecture must be exercised under a wide variety of workloads, creating the need for a variety of applications. A compiler can relieve the time spent developing these applications by allowing the use of languages such as C and Fortran. However, compiler development is a research

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Kore, Anand. "Using idle workstations for distributed computing." Ohio : Ohio University, 1998. http://www.ohiolink.edu/etd/view.cgi?ohiou1176488008.

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Stuart, Mary Bernadette. "The Eigensolution of symmetric matrices on distributed memory computers." Thesis, Queen's University Belfast, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.295449.

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Pyla, Hari Krishna. "Tempest: A Framework for High Performance Thermal-Aware Distributed Computing." Thesis, Virginia Tech, 2007. http://hdl.handle.net/10919/33198.

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Compute clusters are consuming more power at higher densities than ever before. This results in increased thermal dissipation, the need for powerful cooling systems, and ultimately a reduction in system reliability as temperatures increase. Over the past several years, the research community has reacted to this problem by producing software tools such as HotSpot and Mercury to estimate system thermal characteristics and validate thermal-management techniques. While these tools are flexible and useful, they suffer several limitations: for the average user such simulation tools can be cumbersome

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Souza, Paulo Sergio Lopes de. "AMIGO: Uma contribuição para a convergência na área de escalonamento de processos." Universidade de São Paulo, 2000. http://www.teses.usp.br/teses/disponiveis/76/76132/tde-25032014-152613/.

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Este trabalho propõe e descreve em detalhes o projeto do AMIGO (DynAMical FlexIble SchedulinG EnvirOnment), uma nova ferramenta de software capaz de viabilizar a união de diferentes algoritmos de escalonamento, de uma maneira completamente transparente ao usuário. O AMIGO é capaz de flexibilizar o escalonamento (em tempo de execução da aplicação) desde a sua configuração até a sua efetiva aplicação. Além da flexibilidade dinâmica e da transparência, o AMIGO também é modular: o seu projeto está dividido em módulos que, entre outras vantagens, facilitam sua execução em diferentes plataformas. Es

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Sziveri, Janos. "Parallel computational techniques for explicit finite element analysis." Thesis, Heriot-Watt University, 1997. http://hdl.handle.net/10399/1254.

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McMahon, Adam. "Rendering Animations with Distributed Applets over the Internet." Scholarly Repository, 2009. http://scholarlyrepository.miami.edu/oa_theses/189.

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High quality 3D rendering requires massive computing resources. In order to render animations within a reasonable amount of time, the rendering process is often distributed among a cluster of computers, typically called a rendering farm. However, most individuals and small studios do not have the resources to purchase or lease a rendering farm. In the late 1990?s, Java technology brought a hope that distributed applets could be utilized as an alternative to traditional network rendering models. Yet, this hope was never realized, nor was it fully implemented. Taking into account new devel

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Jacob, Aju. "Distributed configuration management for reconfigurable cluster computing." [Gainesville, Fla.] : University of Florida, 2004. http://purl.fcla.edu/fcla/etd/UFE0007181.

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Cosenza, Biagio. "Efficient distributed load balancing for parallel algorithms." Doctoral thesis, Universita degli studi di Salerno, 2011. http://hdl.handle.net/10556/205.

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2009 - 2010<br>With the advent of massive parallel processing technology, exploiting the power offered by hundreds, or even thousands of processors is all but a trivial task. Computing by using multi-processor, multi-core or many-core adds a number of additional challenges related to the cooperation and communication of multiple processing units. The uneven distribution of data among the various processors, i.e. the load imbalance, represents one of the major problems in data parallel applications. Without good load distribution strategies, we cannot reach good speedup, thus good effic

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Shan, Meijuan. "Distributed object-oriented parallel computing on heterogeneous workstation clusters using Java." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/mq43403.pdf.

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Stewart, Robert. "Reliable massively parallel symbolic computing : fault tolerance for a distributed Haskell." Thesis, Heriot-Watt University, 2013. http://hdl.handle.net/10399/2834.

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As the number of cores in manycore systems grows exponentially, the number of failures is also predicted to grow exponentially. Hence massively parallel computations must be able to tolerate faults. Moreover new approaches to language design and system architecture are needed to address the resilience of massively parallel heterogeneous architectures. Symbolic computation has underpinned key advances in Mathematics and Computer Science, for example in number theory, cryptography, and coding theory. Computer algebra software systems facilitate symbolic mathematics. Developing these at scale has

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Janjic, Vladimir. "Load balancing of irregular parallel applications on heterogeneous computing environments." Thesis, University of St Andrews, 2012. http://hdl.handle.net/10023/2540.

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Large-scale heterogeneous distributed computing environments (such as Computational Grids and Clouds) offer the promise of access to a vast amount of computing resources at a relatively low cost. In order to ease the application development and deployment on such complex environments, high-level parallel programming languages exist that need to be supported by sophisticated runtime systems. One of the main problems that these runtime systems need to address is dynamic load balancing that ensures that no resources in the environment are underutilised or overloaded with work. This thesis deals w

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Djemame, Karim. "Distributed simulation of high-level algebraic Petri nets." Thesis, University of Glasgow, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.301624.

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Pulla, Gautam. "High Performance Computing Issues in Large-Scale Molecular Statics Simulations." Thesis, Virginia Tech, 1999. http://hdl.handle.net/10919/33206.

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Successful application of parallel high performance computing to practical problems requires overcoming several challenges. These range from the need to make sequential and parallel improvements in programs to the implementation of software tools which create an environment that aids sharing of high performance hardware resources and limits losses caused by hardware and software failures. In this thesis we describe our approach to meeting these challenges in the context of a Molecular Statics code. We describe sequential and parallel optimizations made to the code and also a suite of tools con

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Kazilas, Panagiotis. "Augmenting MPI Programming Process with Cognitive Computing." Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-88913.

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Cognitive Computing is a new and quickly advancing technology. In thelast decade Cognitive Computing has been used to assist researchers in theirendeavors in many different scientific fields such as Health & medicine,Education, Marketing, Psychology and Financial Services. On the otherhand, Parallel programming is a more complex concept than sequentialprogramming. The additional complexity of Parallel Programming isintroduced by its nature that requires implementations of more complexalgorithms and it introduces additional concepts to the developers, namelythe communication between the pro

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Kohler, Peter. "Concept and implementation of an efficient communication network for distributed parallel computing /." Zürich, 1997. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=12169.

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Chinthamani, Meemakshisundaram R. "Future effectiveness of centralized and distributed memory architectures for parallel computing systems." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape7/PQDD_0019/NQ37877.pdf.

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LUZZI, Cinzia. "Enabling parallel and interactive distributed computing data analysis for the ALICE experiment." Doctoral thesis, Università degli studi di Ferrara, 2014. http://hdl.handle.net/11392/2388941.

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AliEn (ALICE Environment) is the production environment developed by the ALICE collaboration at CERN. It provides a set of Grid tools enabling the full offline computational work-flow of the experiment (simulation, reconstruction and data analysis) in a distributed and heterogeneous computing environment. In addition to the analysis on the Grid, ALICE users perform local interactive analysis using ROOT and the Parallel ROOT Facility (PROOF). PROOF enables physicists to analyse in parallel medium-sized (200-300 TB) data sets in a short time scale. The default installation of PROOF is o

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MAJ, CARLO. "Sensitivity analysis for computational models of biochemical systems." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2014. http://hdl.handle.net/10281/50494.

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Systems biology is an integrated area of science which aims at the analysis of biochemical systems using an holistic perspective. In this context, sensitivity analysis, a technique studying how the output variation of a computational model can be associated to its input state plays a pivotal role. In the thesis it is described how to properly apply the different sensitivity analysis techniques according to the specific case study (i.e., continuous deterministic rather than discrete stochastic output). Moreover, we explicitly consider aspects that have been often neglected in the analysis of co

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Wu, Jiande. "Parallel Computing of Particle Filtering Algorithms for Target Tracking Applications." ScholarWorks@UNO, 2014. http://scholarworks.uno.edu/td/1953.

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Particle filtering has been a very popular method to solve nonlinear/non-Gaussian state estimation problems for more than twenty years. Particle filters (PFs) have found lots of applications in areas that include nonlinear filtering of noisy signals and data, especially in target tracking. However, implementation of high dimensional PFs in real-time for large-scale problems is a very challenging computational task. Parallel & distributed (P&D) computing is a promising way to deal with the computational challenges of PF methods. The main goal of this dissertation is to develop, implement and ev

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Marucci, Evandro Augusto. "Paralelização da ferramenta de alinhamento de sequências MUSCLE para um ambiente distribuído /." São José do Rio Preto : [s.n.], 2009. http://hdl.handle.net/11449/89349.

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Orientador: José Márcio Machado<br>Banca: Liria Matsumoto Sato<br>Banca: Aleardo Manacero Junior<br>Resumo: Devido a crescente quantidade de dados genômicos para comparação, a computação paralela está se tornando cada vez mais necessária para realizar uma das operaçoes mais importantes da bioinformática, o alinhamento múltiplo de sequências. Atualmente, muitas ferramentas computacionais são utilizadas para resolver alinhamentos e o uso da computação paralela está se tornando cada vez mais generalizado. Entretanto, embora diferentes algoritmos paralelos tenham sido desenvolvidos para suportar a

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Rezvoy, Clément. "Large Scale Parallel Inference of Protein and Protein Domain families." Phd thesis, Ecole normale supérieure de lyon - ENS LYON, 2011. http://tel.archives-ouvertes.fr/tel-00682495.

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Protein domains are recurring independent segment of proteins. The combinatorial arrangement of domains is at the root of the functional and structural diversity of proteins. Several methods have been developed to infer protein domain decomposition and domain family clustering from sequence information alone. MkDom2 is one of those methods. Mkdom2 infers domain families in a greedy fashion. Families are inferred one after the other in order to create a delineation of domains on proteins and a clustering of those domains in families. MkDom2 is instrumental in the building of the ProDom database

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Ni, Ze. "Comparative Evaluation of Spark andStratosphere." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-118226.

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Nowadays, although MapReduce is applied to the parallel processing on big data, it has some limitations: for instance, lack of generic but efficient and richly functional primitive parallel methods, incapability of entering multiple input parameters on the entry of parallel methods, and inefficiency in the way of handling iterative algorithms. Spark and Stratosphere are developed to deal with (partly) the shortcoming of MapReduce. The goal of this thesis is to evaluate Spark and Stratosphere both from the point of view of theoretical programming model and practical execution on specified appli

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Kannan, Vijayasarathy. "A Distributed Approach to EpiFast using Apache Spark." Thesis, Virginia Tech, 2015. http://hdl.handle.net/10919/55272.

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EpiFast is a parallel algorithm for large-scale epidemic simulations, based on an interpretation of the stochastic disease propagation in a contact network. The original EpiFast implementation is based on a master-slave computation model with a focus on distributed memory using message-passing-interface (MPI). However, it suffers from few shortcomings with respect to scale of networks being studied. This thesis addresses these shortcomings and provides two different implementations: Spark-EpiFast based on the Apache Spark big data processing engine and Charm-EpiFast based on the Charm++ parall

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Osman, Taha Mohammed. "FADI : a fault-tolerant environment for distributed processing systems." Thesis, Nottingham Trent University, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.388867.

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Liu, Linqian. "A Parallel and Distributed Computing Platform for Neural Networks Using Wireless Sensor Networks." University of Toledo / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1336159164.

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Wang, Chen. "Chemistry Inspired Middleware for Flexible Service Composition and Application." Phd thesis, INSA de Rennes, 2013. http://tel.archives-ouvertes.fr/tel-00932085.

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Les Architectures Orientées Services (SOA) sont adoptées aujourd'hui par de nombreuses entreprises car elles représentent une solution flexible pour la construction d'applications distribuées. Une Application Basée sur des Services (SBA) peut se définir comme un workflow qui coordonne de manière dynamique l'exécution distribuée d'un ensemble de services. Les services peuvent être sélectionnés et intégrés en temps réel en fonction de leur Qualité de Service (QoS), et la composition de services peut être dynamiquement modifiée pour réagir à des défaillances imprévues pendant l'exécution. Les bes

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Hernandez, Jesus Israel. "Reactive scheduling of DAG applications on heterogeneous and dynamic distributed computing systems." Thesis, University of Edinburgh, 2008. http://hdl.handle.net/1842/2336.

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Emerging technologies enable a set of distributed resources across a network to be linked together and used in a coordinated fashion to solve a particular parallel application at the same time. Such applications are often abstracted as directed acyclic graphs (DAGs), in which vertices represent application tasks and edges represent data dependencies between tasks. Effective scheduling mechanisms for DAG applications are essential to exploit the tremendous potential of computational resources. The core issues are that the availability and performance of resources, which are already by their nat

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Ghafoor, Sheikh Khaled. "Modeling of an adaptive parallel system with malleable applications in a distributed computing environment." Diss., Mississippi State : Mississippi State University, 2007. http://sun.library.msstate.edu/ETD-db/theses/available/etd-11092007-145420.

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Gupta, Sounak. "Pending Event Set Management in Parallel Discrete Event Simulation." University of Cincinnati / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1535701778479768.

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Klein-Halmaghi, Cristian. "Cooperative Resource Management for Parallel and Distributed Systems." Phd thesis, Ecole normale supérieure de lyon - ENS LYON, 2012. http://tel.archives-ouvertes.fr/tel-00780719.

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High-Performance Computing (HPC) resources, such as Supercomputers, Clusters, Grids and HPC Clouds, are managed by Resource Management Systems (RMSs) that multiple resources among multiple users and decide how computing nodes are allocated to user applications. As more and more petascale computing resources are built and exascale is to be achieved by 2020, optimizing resource allocation to applications is critical to ensure their efficient execution. However, current RMSs, such as batch schedulers, only offer a limited interface. In most cases, the application has to blindly choose resources a

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Yao, Aixiang I. Song. "An Efficient Parallel Three-Level Preconditioner for Linear Partial Differential Equations." Thesis, Virginia Tech, 1998. http://hdl.handle.net/10919/36499.

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The primary motivation of this research is to develop and investigate parallel preconditioners for linear elliptic partial differential equations. Three preconditioners are studied: block-Jacobi preconditioner (BJ), a two-level tangential preconditioner (D0), and a three-level preconditioner (D1). Performance and scalability on a distributed memory parallel computer are considered. Communication cost and redundancy are explored as well. After experiments and analysis, we find that the three-level preconditioner D1 is the most efficient and scalable parallel preconditioner, compared

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Collet, Julien. "Exploration of parallel graph-processing algorithms on distributed architectures." Thesis, Compiègne, 2017. http://www.theses.fr/2017COMP2391/document.

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Avec l'explosion du volume de données produites chaque année, les applications du domaine du traitement de graphes ont de plus en plus besoin d'être parallélisées et déployées sur des architectures distribuées afin d'adresser le besoin en mémoire et en ressource de calcul. Si de telles architectures larges échelles existent, issue notamment du domaine du calcul haute performance (HPC), la complexité de programmation et de déploiement d’algorithmes de traitement de graphes sur de telles cibles est souvent un frein à leur utilisation. De plus, la difficile compréhension, a priori, du comportemen

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Andersson, Filip, and Simon Norberg. "Scalable applications in a distributed environment." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3917.

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As the amount of simultaneous users of distributed systems increase, scalability is becoming an important factor to consider during software development. Without sufficient scalability, systems might have a hard time to manage high loads, and might not be able to support a high amount of users. We have determined how scalability can best be implemented, and what extra costs this leads to. Our research is based on both a literature review, where we have looked at what others in the field of computer engineering thinks about scalability, and by implementing a highly scalable system of our own. I

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Cordeiro, Daniel. "The impact of cooperation on new high performance computing platforms." Phd thesis, Université de Grenoble, 2012. http://tel.archives-ouvertes.fr/tel-00690908.

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L'informatique a changé profondément les aspects méthodologiques du processus de découverte dans les différents domaines du savoir. Les chercheurs ont à leur disposition aujourd'hui de nouvelles capacités qui permettent d'envisager la résolution de nouveaux problèmes. Les plates-formes parallèles et distribuées composées de ressources partagées entre différents participants peuvent rendre ces nouvelles capacités accessibles à tout chercheur et offrent une puissance de calcul qui a été limitée jusqu'à présent aux projets scientifiques les plus grands (et les plus riches). Dans ce document qui r

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McMurtrey, Shannon Dale. "Training and Optimizing Distributed Neural Networks Using a Genetic Algorithm." NSUWorks, 2010. http://nsuworks.nova.edu/gscis_etd/243.

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Parallelizing neural networks is an active area of research. Current approaches surround the parallelization of the widely used back-propagation (BP) algorithm, which has a large amount of communication overhead, making it less than ideal for parallelization. An algorithm that does not depend on the calculation of derivatives, and the backward propagation of errors, better lends itself to a parallel implementation. One well known training algorithm for neural networks explicitly incorporates network structure in the objective function to be minimized which yields simpler neural networks. Prior

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