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Relevant bibliographies by topics / High performance scientific computing / Dissertations / Theses

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Dissertations / Theses on the topic 'High performance scientific computing'

Author: Grafiati

Published: 10 December 2022

Last updated: 31 July 2025

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1

Balakrishnan, Suresh Reuben A/L. "Hybrid High Performance Computing (HPC) + Cloud for Scientific Computing." Thesis, Curtin University, 2022. http://hdl.handle.net/20.500.11937/89123.

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The HPC+Cloud framework has been built to enable on-premise HPC jobs to use resources from cloud computing nodes. As part of designing the software framework, public cloud providers, namely Amazon AWS, Microsoft Azure and NeCTAR were benchmarked against one another, and Microsoft Azure was determined to be the most suitable cloud component in the proposed HPC+Cloud software framework. Finally, an HPC+Cloud cluster was built using the HPC+Cloud software framework and then was validated by conducting HPC processing benchmarks.

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2

Bentz, Jonathan Lee. "Hybrid programming in high performance scientific computing." [Ames, Iowa : Iowa State University], 2006.

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3

Calatrava, Arroyo Amanda. "High Performance Scientific Computing over Hybrid Cloud Platforms." Doctoral thesis, Universitat Politècnica de València, 2016. http://hdl.handle.net/10251/75265.

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Scientific applications generally require large computational requirements, memory and data management for their execution. Such applications have traditionally used high-performance resources, such as shared memory supercomputers, clusters of PCs with distributed memory, or resources from Grid infrastructures on which the application needs to be adapted to run successfully. In recent years, the advent of virtualization techniques, together with the emergence of Cloud Computing, has caused a major shift in the way these applications are executed. However, the execution management of scientific

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4

Agarwal, Dinesh. "Scientific High Performance Computing (HPC) Applications On The Azure Cloud Platform." Digital Archive @ GSU, 2013. http://digitalarchive.gsu.edu/cs_diss/75.

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Cloud computing is emerging as a promising platform for compute and data intensive scientific applications. Thanks to the on-demand elastic provisioning capabilities, cloud computing has instigated curiosity among researchers from a wide range of disciplines. However, even though many vendors have rolled out their commercial cloud infrastructures, the service offerings are usually only best-effort based without any performance guarantees. Utilization of these resources will be questionable if it can not meet the performance expectations of deployed applications. Additionally, the lack of the f

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5

Gulabani, Teena Pratap. "Development of high performance scientific components for interoperability of computing packages." [Ames, Iowa : Iowa State University], 2008.

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6

Kaplan, Ali. "Collaborative framework for high-performance p2p-based data transfer in scientific computing." [Bloomington, Ind.] : Indiana University, 2009. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3380091.

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Thesis (Ph.D.)--Indiana University, Dept. of Computer Science, 2009.<br>Title from PDF t.p. (viewed on Jul 19, 2010). Source: Dissertation Abstracts International, Volume: 70-12, Section: B, page: 7668. Adviser: Geoffrey C. Fox.

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7

Steven, Monteiro Steena Dominica. "Statistical Techniques to Model and Optimize Performance of Scientific, Numerically Intensive Workloads." DigitalCommons@USU, 2016. https://digitalcommons.usu.edu/etd/5228.

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Projecting performance of applications and hardware is important to several market segments—hardware designers, software developers, supercomputing centers, and end users. Hardware designers estimate performance of current applications on future systems when designing new hardware. Software developers make performance estimates to evaluate performance of their code on different architectures and input datasets. Supercomputing centers try to optimize the process of matching computing resources to computing needs. End users requesting time on supercomputers must provide estimates of their applic

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8

Lin, Tien-Ju. "Web-based front-end design and scientific computing for material stress simulation software." Thesis, Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/53101.

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A precise simulation requires a large amount of input data such as geometrical descriptions of the crystal structure, the external forces and loads, and quantitative properties of the material. Although some powerful applications already exist for research purposes, they are not widely used in education due to complex structure and unintuitive operation. To cater to the generic user base, a front-end application for material simulation software is introduced. With a graphic interface, it provides a more efficient way to conduct the simulation and to educate students who want to enlarge knowled

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9

Krishnan, Manoj Kumar. "ProLAS a novel dynamic load balancing library for advanced scientific computing /." Master's thesis, Mississippi State : Mississippi State University, 2003. http://library.msstate.edu/etd/show.asp?etd=etd-11102003-184622.

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10

Malenta, Mateusz. "Exploring the dynamic radio sky with many-core high-performance computing." Thesis, University of Manchester, 2018. https://www.research.manchester.ac.uk/portal/en/theses/exploring-the-dynamic-radio-sky-with-manycore-highperformance-computing(fe86c963-e253-48c0-a907-f8b59c44cf53).html.

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As new radio telescopes and processing facilities are being built, the amount of data that has to be processed is growing continuously. This poses significant challenges, especially if the real-time processing is required, which is important for surveys looking for poorly understood objects, such as Fast Radio Bursts, where quick detection and localisation can enable rapid follow-up observations at different frequencies. With the data rates increasing all the time, new processing techniques using the newest hardware, such as GPUs, have to be developed. A new pipeline, called PAFINDER, has been

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11

Li, Shaomeng. "Wavelet Compression for Visualization and Analysis on High Performance Computers." Thesis, University of Oregon, 2018. http://hdl.handle.net/1794/23905.

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As HPC systems move towards exascale, the discrepancy between computational power and I/O transfer rate is only growing larger. Lossy in situ compression is a promising solution to address this gap, since it alleviates I/O constraints while still enabling traditional post hoc analysis. This dissertation explores the viability of such a solution with respect to a specific kind of compressor — wavelets. We especially examine three aspects of concern regarding the viability of wavelets: 1) information loss after compression, 2) its capability to fit within in situ constraints, and 3) the compress

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12

Zheng, Fang. "Middleware for online scientific data analytics at extreme scale." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/51847.

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Scientific simulations running on High End Computing machines in domains like Fusion, Astrophysics, and Combustion now routinely generate terabytes of data in a single run, and these data volumes are only expected to increase. Since such massive simulation outputs are key to scientific discovery, the ability to rapidly store, move, analyze, and visualize data is critical to scientists' productivity. Yet there are already serious I/O bottlenecks on current supercomputers, and movement toward the Exascale is further accelerating this trend. This dissertation is concerned with the design, impleme

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13

Kumar, Vijay Shiv. "Specification, Configuration and Execution of Data-intensive Scientific Applications." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1286570224.

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14

Obermiller, Dan. "High Performance Portability with RAJA and Agency." Scholarship @ Claremont, 2017. http://scholarship.claremont.edu/cmc_theses/1557.

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High performance and scientific computing take advantage of high-end and high-spec computer architectures. As these architectures evolve, and new architectures are created, applications may be able to run at greater and greater speeds. These changes persent challenges to implementors who wish to take advantage of the newest features and machines. Portability layers such as RAJA and Agency seek to abstract away machine-specific details and allow scientists to take advantage of new features as they become available. We enhance RAJA with a lower-level framework, Agency, to determine if these laye

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15

Futral, Jeremy Stephen. "A method of evaluation of high-performance computing batch schedulers." UNF Digital Commons, 2019. https://digitalcommons.unf.edu/etd/869.

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According to Sterling et al., a batch scheduler, also called workload management, is an application or set of services that provide a method to monitor and manage the flow of work through the system [Sterling01]. The purpose of this research was to develop a method to assess the execution speed of workloads that are submitted to a batch scheduler. While previous research exists, this research is different in that more complex jobs were devised that fully exercised the scheduler with established benchmarks. This research is important because the reduction of latency even if it is miniscule can

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16

Jamaliannasrabadi, Saba. "High Performance Computing as a Service in the Cloud Using Software-Defined Networking." Bowling Green State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1433963448.

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17

López, Huguet Sergio. "Elastic, Interoperable and Container-based Cloud Infrastructures for High Performance Computing." Doctoral thesis, Universitat Politècnica de València, 2021. http://hdl.handle.net/10251/172327.

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Tesis por compendio<br>[ES] Las aplicaciones científicas implican generalmente una carga computacional variable y no predecible a la que las instituciones deben hacer frente variando dinámicamente la asignación de recursos en función de las distintas necesidades computacionales. Las aplicaciones científicas pueden necesitar grandes requisitos. Por ejemplo, una gran cantidad de recursos computacionales para el procesado de numerosos trabajos independientes (High Throughput Computing o HTC) o recursos de alto rendimiento para la resolución de un problema individual (High Performance Computing o

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18

Neuwirth, Sarah Marie [Verfasser], and Ulrich [Akademischer Betreuer] Brüning. "Accelerating Network Communication and I/O in Scientific High Performance Computing Environments / Sarah Marie Neuwirth ; Betreuer: Ulrich Brüning." Heidelberg : Universitätsbibliothek Heidelberg, 2019. http://d-nb.info/1177045133/34.

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Neuwirth, Sarah [Verfasser], and Ulrich [Akademischer Betreuer] Brüning. "Accelerating Network Communication and I/O in Scientific High Performance Computing Environments / Sarah Marie Neuwirth ; Betreuer: Ulrich Brüning." Heidelberg : Universitätsbibliothek Heidelberg, 2019. http://d-nb.info/1177045133/34.

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20

Bas, Erdeniz Ozgun. "Load-Balancing Spatially Located Computations using Rectangular Partitions." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1306909831.

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21

Lemon, Alexander Michael. "A Shared-Memory Coupled Architecture to Leverage Big Data Frameworks in Prototyping and In-Situ Analytics for Data Intensive Scientific Workflows." BYU ScholarsArchive, 2019. https://scholarsarchive.byu.edu/etd/7545.

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There is a pressing need for creative new data analysis methods whichcan sift through scientific simulation data and produce meaningfulresults. The types of analyses and the amount of data handled by currentmethods are still quite restricted, and new methods could providescientists with a large productivity boost. New methods could be simpleto develop in big data processing systems such as Apache Spark, which isdesigned to process many input files in parallel while treating themlogically as one large dataset. This distributed model, combined withthe large number of analysis libraries created f

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22

Lundgren, Jacob. "Pricing of American Options by Adaptive Tree Methods on GPUs." Thesis, Uppsala universitet, Avdelningen för beräkningsvetenskap, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-265257.

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An assembled algorithm for pricing American options with absolute, discrete dividends using adaptive lattice methods is described. Considerations for hardware-conscious programming on both CPU and GPU platforms are discussed, to provide a foundation for the investigation of several approaches for deploying the program onto GPU architectures. The performance results of the approaches are compared to that of a central processing unit reference implementation, and to each other. In particular, an approach of designating subtrees to be calculated in parallel by allowing multiple calculation of ove

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23

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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24

Dirand, Estelle. "Développement d'un système in situ à base de tâches pour un code de dynamique moléculaire classique adapté aux machines exaflopiques." Thesis, Université Grenoble Alpes (ComUE), 2018. http://www.theses.fr/2018GREAM065/document.

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L’ère de l’exascale creusera encore plus l’écart entre la vitesse de génération des données de simulations et la vitesse d’écriture et de lecture pour analyser ces données en post-traitement. Le temps jusqu’à la découverte scientifique sera donc grandement impacté et de nouvelles techniques de traitement des données doivent être mises en place. Les méthodes in situ réduisent le besoin d’écrire des données en les analysant directement là où elles sont produites. Il existe plusieurs techniques, en exécutant les analyses sur les mêmes nœuds de calcul que la simulation (in situ), en utilisant des

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25

Johnson, Buxton L. Sr. "HYBRID PARALLELIZATION OF THE NASA GEMINI ELECTROMAGNETIC MODELING TOOL." UKnowledge, 2017. http://uknowledge.uky.edu/ece_etds/99.

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Understanding, predicting, and controlling electromagnetic field interactions on and between complex RF platforms requires high fidelity computational electromagnetic (CEM) simulation. The primary CEM tool within NASA is GEMINI, an integral equation based method-of-moments (MoM) code for frequency domain electromagnetic modeling. However, GEMINI is currently limited in the size and complexity of problems that can be effectively handled. To extend GEMINI’S CEM capabilities beyond those currently available, primary research is devoted to integrating the MFDlib library developed at the University

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26

Abbasi, Mohammad Hasan. "Data services: bringing I/O processing to petascale." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/42694.

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The increasing size of high performance computing systems and the associated increase in the volume of generated data, has resulted in an I/O bottleneck for these applications. This bottleneck is further exacerbated by the imbalance in the growth of processing capability compared to storage capability, due mainly to the power and cost requirements of scaling the storage. This thesis introduces data services, a new abstraction which provides significant benefits for data intensive applications. Data services combine low overhead data movement with flexible placement of data manipulation operati

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27

Su, Yu. "Big Data Management Framework based on Virtualization and Bitmap Data Summarization." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1420738636.

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28

Schepke, Claudio. "Distribuição de dados para implementações paralelas do Método de Lattice Boltzmann." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2007. http://hdl.handle.net/10183/8810.

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A Dinâmica de Fluidos Computacional é uma importante área de pesquisa no contexto da Computação Científica. Através da modelagem e simulação das propriedades de líquidos e gases é possível obter resultados numéricos para diferentes estruturas e fenômenos físicos cotidianos e de grande importância econômica. A evolução dos sistemas computacionais possibilitou a essa área o surgimento de novas técnicas e abordagens de simulação. Uma das técnicas computacionais atualmente empregadas é o Método de Lattice Boltzmann, um método numérico iterativo para a modelagem e simulação mesoscópica da dinâmica

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29

Venkatasubramanian, Sundaresan. "Tuned and asynchronous stencil kernels for CPU/GPU systems." Thesis, Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/29728.

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Thesis (M. S.)--Computing, Georgia Institute of Technology, 2009.<br>Committee Chair: Vuduc, Richard; Committee Member: Kim, Hyesoon; Committee Member: Vetter, Jeffrey. Part of the SMARTech Electronic Thesis and Dissertation Collection.

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30

Gueunet, Charles. "Calcul haute performance pour l'analyse topologique de données par ensembles de niveaux." Electronic Thesis or Diss., Sorbonne université, 2019. http://www.theses.fr/2019SORUS120.

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L'analyse de données topologique nécessite des algorithmes de plus en plus efficaces pour être capable de traiter des jeux de données dont la taille et le niveau de détail augmente continûment. Dans cette thèse, nous nous concentrons sur trois abstractions topologiques fondamentales dérivées des ensembles de niveaux : l'arbre de jointure, l'arbre de contour et le graphe de Reeb. Nous proposons trois nouveaux algorithmes parallèles efficaces pour leur calcul sur des stations de travail composées de processeurs multi-cœur en mémoire partagée. Le premier algorithme élaboré durant cette thèse se b

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31

Ferreira, Davi Morais. "IntegraÃÃo de bibliotecas cientÃficas de propÃsito especial em uma plataforma de componentes paralelos." Universidade Federal do CearÃ, 2010. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=7166.

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FundaÃÃo Cearense de Apoio ao Desenvolvimento Cientifico e TecnolÃgico<br>A contribuiÃÃo das tradicionais bibliotecas cientÃcas mostra-se consolidada na construÃÃo de aplicaÃÃes de alto desempenho. No entanto, tal artefato de desenvolvimento possui algumas limitaÃÃes de integraÃÃo, de produtividade em aplicaÃÃes de larga escala e de exibilidade para mudanÃas no contexto do problema. Por outro lado, a tecnologia de desenvolvimento baseada em componentes, recentemente proposta como alternativa viÃvel para a arquitetura de aplicaÃÃes de ComputaÃÃo de Alto Desempenho (CAD), tem fornecido meios par

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32

Lee, Joo Hong. "Hybrid Parallel Computing Strategies for Scientific Computing Applications." Diss., Virginia Tech, 2012. http://hdl.handle.net/10919/28882.

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Multi-core, multi-processor, and Graphics Processing Unit (GPU) computer architectures pose significant challenges with respect to the efficient exploitation of parallelism for large-scale, scientific computing simulations. For example, a simulation of the human tonsil at the cellular level involves the computation of the motion and interaction of millions of cells over extended periods of time. Also, the simulation of Radiative Heat Transfer (RHT) effects by the Photon Monte Carlo (PMC) method is an extremely computationally demanding problem. The PMC method is example of the Monte Carlo simu

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33

KHAN, OMAR USMAN. "High Performance Computing using GPGPU's." Doctoral thesis, Politecnico di Torino, 2013. http://hdl.handle.net/11583/2506369.

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Computer based simulation software having a basis in numerical methods play a major role in research in the area of natural and physical sciences. These tools allow scientists to attempt problems that are too large to solve using analytical methods. But even these tools can fail to give solutions due to computational or storage limits. However, as the performance of computer hardware gets better and better, the computational limits can be also addressed. One such area of work is that of magnetic field modeling, which plays a crucial role in various fields of research, especially those relate

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34

ROOZMEH, MEHDI. "High Performance Computing via High Level Synthesis." Doctoral thesis, Politecnico di Torino, 2018. http://hdl.handle.net/11583/2710706.

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As more and more powerful integrated circuits are appearing on the market, more and more applications, with very different requirements and workloads, are making use of the available computing power. This thesis is in particular devoted to High Performance Computing applications, where those trends are carried to the extreme. In this domain, the primary aspects to be taken into consideration are (1) performance (by definition) and (2) energy consumption (since operational costs dominate over procurement costs). These requirements can be satisfied more easily by deploying heterogeneous platfor

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35

Mayer, Anthony Edward. "Composite construction of high performance scientific applications." Thesis, Imperial College London, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.252520.

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36

Roberts, Stephen I. "Energy-aware performance engineering in high performance computing." Thesis, University of Warwick, 2017. http://wrap.warwick.ac.uk/107784/.

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Advances in processor design have delivered performance improvements for decades. As physical limits are reached, however, refinements to the same basic technologies are beginning to yield diminishing returns. Unsustainable increases in energy consumption are forcing hardware manufacturers to prioritise energy efficiency in their designs. Research suggests that software modifications will be needed to exploit the resulting improvements in current and future hardware. New tools are required to capitalise on this new class of optimisation. This thesis investigates the field of energy-aware perfo

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37

Palamadai, Natarajan Ekanathan. "Portable and productive high-performance computing." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/108988.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 115-120).<br>Performance portability of computer programs, and programmer productivity in writing them are key expectations in software engineering. These expectations lead to the following questions: Can programmers write code once, and execute it at optimal speed on any machine configuration? Can programmers write parallel code to simple models that hide the complex details of parallel pr

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38

Zhou, He. "High Performance Computing Architecture with Security." Diss., The University of Arizona, 2015. http://hdl.handle.net/10150/578611.

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Multi-processor embedded system is the future promise of high performance computing architecture. However, it still suffers low network efficiency and security threat. Simply upgrading to multi-core systems has been proven to provide only minor speedup compared with single core systems. Router architecture of network-on-chip (NoC) uses shared input buffers such as virtual channels and crossbar switches that only allow sequential data access. The speed and efficiency of on-chip communication is limited. In addition, the performance of conventional NoC topology is limited by routing latency and

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39

Mani, Sindhu. "Empirical Performance Analysis of High Performance Computing Benchmarks Across Variations in Cloud Computing." UNF Digital Commons, 2012. http://digitalcommons.unf.edu/etd/418.

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High Performance Computing (HPC) applications are data-intensive scientific software requiring significant CPU and data storage capabilities. Researchers have examined the performance of Amazon Elastic Compute Cloud (EC2) environment across several HPC benchmarks; however, an extensive HPC benchmark study and a comparison between Amazon EC2 and Windows Azure (Microsoft’s cloud computing platform), with metrics such as memory bandwidth, Input/Output (I/O) performance, and communication computational performance, are largely absent. The purpose of this study is to perform an exhaustive HPC bench

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40

De, la Cruz Raúl. "Leveraging performance of 3D finite difference schemes in large scientific computing simulations." Doctoral thesis, Universitat Politècnica de Catalunya, 2015. http://hdl.handle.net/10803/325139.

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Gone are the days when engineers and scientists conducted most of their experiments empirically. During these decades, actual tests were carried out in order to assess the robustness and reliability of forthcoming product designs and prove theoretical models. With the advent of the computational era, scientific computing has definetely become a feasible solution compared with empirical methods, in terms of effort, cost and reliability. Large and massively parallel computational resources have reduced the simulation execution times and have improved their numerical results due to the refinement

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Azhar, Rizwan. "Upgrading and Performance Analysis of Thin Clients in Server Based Scientific Computing." Thesis, Linköpings universitet, Kommunikationssystem, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-65900.

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Server Based Computing (SBC) technology allows applications to be deployed, managed, supported and executed on the server and not on the client; only the screen information is transmitted between the server and client. This architecture solves many fundamental problems with application deployment, technical support, data storage, hardware and software upgrades. This thesis is targeted at upgrading and evaluating performance of thin clients in scientific Server Based Computing (SBC). Performance of Linux based SBC was assessed via methods of both quantitative and qualitative research. Quantitat

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42

Ahrens, James P. "Scientific experiment management with high-performance distributed computation /." Thesis, Connect to this title online; UW restricted, 1996. http://hdl.handle.net/1773/6974.

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43

Choi, Jee Whan. "Power and performance modeling for high-performance computing algorithms." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/53561.

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The overarching goal of this thesis is to provide an algorithm-centric approach to analyzing the relationship between time, energy, and power. This research is aimed at algorithm designers and performance tuners so that they may be able to make decisions on how algorithms should be designed and tuned depending on whether the goal is to minimize time or to minimize energy on current and future systems. First, we present a simple analytical cost model for energy and power. Assuming a simple von Neumann architecture with a two-level memory hierarchy, this model pre- dicts energy and power for alg

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44

Beniamine, David. "Analyzing the memory behavior of parallel scientific applications." Thesis, Université Grenoble Alpes (ComUE), 2016. http://www.theses.fr/2016GREAM088/document.

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Depuis plusieurs décennies, afin de réduire la consommation énergétique des processeurs, les constructeurs fabriquent des ordinateurs de plus en plus parallèles.Dans le même temps, l'écart de fréquence entre les processeurs et la mémoire a significativement augmenté.Pour compenser cet écart, les processeurs modernes embarquent une hiérarchie de caches complexe.Développer un programme efficace sur de telles machines est une tâche complexe.Par conséquent, l'analyse de performance est devenue une étape majeure lors du développement d'applications requérant des performances.La plupart des outils d

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45

Orobitg, Cortada Miquel. "High performance computing on biological sequence alignment." Doctoral thesis, Universitat de Lleida, 2013. http://hdl.handle.net/10803/110930.

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L'Alineament Múltiple de Seqüències (MSA) és una eina molt potent per a aplicacions biològiques importants. Els MSA són computacionalment complexos de calcular, i la majoria de les formulacions porten a problemes d'optimització NP-Hard. Per a dur a terme alineaments de milers de seqüències, nous desafiaments necessiten ser resolts per adaptar els algoritmes a l'era de la computació d'altes prestacions. En aquesta tesi es proposen tres aportacions diferents per resoldre algunes limitacions dels mètodes MSA. La primera proposta consisteix en un algoritme de construcció d'arbres guia per mill

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Algire, Martin. "Distributed multi-processing for high performance computing." Thesis, McGill University, 2000. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=31180.

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Parallel computing can take many forms. From a user's perspective, it is important to consider the advantages and disadvantages of each methodology. The following project attempts to provide some perspective on the methods of parallel computing and indicate where the tradeoffs lie along the continuum. Problems that are parallelizable enable researchers to maximize the computing resources available for a problem, and thus push the limits of the problems that can be solved. Solving any particular problem in parallel will require some very important design decisions to be made. These decisions ma

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47

King, Graham A. "High performance computing systems for signal processing." Thesis, Southampton Solent University, 1996. http://ssudl.solent.ac.uk/2424/.

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The submission begins by demonstrating that the conditions required for consideration under the University's research degrees regulations have been met in full. There then follows a commentary which starts by explaining the origin of the research theme concerned and which continues by discussing the nature and significance of the work. This has been an extensive programme to devise new methods of improving the computational speed and efficiency required for effective implementation of FIR and IIR digital filters and transforms. The problems are analysed and initial experimental work is describ

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Debbage, Mark. "Reliable communication protocols for high-performance computing." Thesis, University of Southampton, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.358359.

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Cox, Simon J. "Development and applications of high performance computing." Thesis, University of Southampton, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.242712.

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Tavara, Shirin. "High-Performance Computing For Support Vector Machines." Licentiate thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-16556.

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Machine learning algorithms are very successful in solving classification and regression problems, however the immense amount of data created by digitalization slows down the training and predicting processes, if solvable at all. High-Performance Computing(HPC) and particularly parallel computing are promising tools for improving the performance of machine learning algorithms in terms of time. Support Vector Machines(SVM) is one of the most popular supervised machine learning techniques that enjoy the advancement of HPC to overcome the problems regarding big data, however, efficient parallel i

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