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Relevant bibliographies by topics / High Performance Computing (HPC) / Dissertations / Theses

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Dissertations / Theses on the topic 'High Performance Computing (HPC)'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 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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Daillidis, Christos. "Establishing Linux Clusters for high-performance computing (HPC) at NPS." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2004. http://library.nps.navy.mil/uhtbin/hyperion/04Sept%5FDaillidis.pdf.

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3

Lanore, Vincent. "On Scalable Reconfigurable Component Models for High-Performance Computing." Thesis, Lyon, École normale supérieure, 2015. http://www.theses.fr/2015ENSL1051/document.

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La programmation à base de composants est un paradigme de programmation qui facilite la réutilisation de code et la séparation des préoccupations. Les modèles à composants dits « reconfigurables » permettent de modifier en cours d'exécution la structure d'une application. Toutefois, ces modèles ne sont pas adaptés au calcul haute performance (HPC) car ils reposent sur des mécanismes ne passant pas à l'échelle.L'objectif de cette thèse est de fournir des modèles, des algorithmes et des outils pour faciliter le développement d'applications HPC reconfigurables à base de composants. La principale

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4

Melas, Panagiotis. "The performance evaluation of workstation clusters." Thesis, University of Southampton, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.326395.

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5

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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6

KhoshgoftarMonfared, Alireza. "Tactical HPC: Scheduling high performance computers in a geographical region." Diss., Georgia Institute of Technology, 2016. http://hdl.handle.net/1853/54934.

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Mobile devices are often expected to perform computational tasks that may be beyond their processing or battery capability. Cloud computing techniques have been proposed as a means to offload a mobile device's computation to more powerful resources. In this thesis, we consider the case where powerful computing resources are made available by utilizing vehicles. These vehicles can be repositioned in real time to receive computational tasks from user-carried devices. They can be either equipped with rugged high-performance computers to provide both computation and communication service, or they

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7

Berg, Gustaf, and Magnus Brattlöf. "Distributed Checkpointing with Docker Containers in High Performance Computing." Thesis, Högskolan Väst, Avdelningen för data-, elektro- och lantmäteriteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:hv:diva-11645.

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Container-virtualisering har blivit mer och mer använt efter att uppdateringar till cgroups och namespace-funktionerna släpptes i Linuxkärnan. Samtidigt så lider industrins högpresterande beräkningskluster av dyra licenskostnader som skulle kunna hanteras av virtualisering. I den här uppsatsen utformades experiment för att ta reda på om Dockers funktion checkpoint, som fortfarande är under utveckling, skulle kunna utnyttjas i industrins beräkningskluster. Genom att demonstrera detta koncept och dess möjligheter att pausa distribuerade containrar, som kör parallella processer inuti, användes de

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8

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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Zhang, Jie Zhang. "Designing and Building Efficient HPC Cloud with Modern Networking Technologies on Heterogeneous HPC Clusters." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1532737201524604.

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10

Abraham, Subil. "On the Use of Containers in High Performance Computing." Thesis, Virginia Tech, 2020. http://hdl.handle.net/10919/99319.

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The lightweight, portable, and flexible nature of containers is driving their widespread adoption in cloud solutions. Data analysis and deep learning applications have especially benefited from containerized solutions. As such data analysis is also being utilized in the high performance computing (HPC) domain, the need for container support in HPC has become paramount. However, container adoption in HPC face crucial performance and I/O challenges. One obstacle is that while there have been container solutions for HPC, such solutions have not been thoroughly investigated, especially from the as

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11

Capra, Antoine. "Virtualisation en contexte HPC." Thesis, Bordeaux, 2015. http://www.theses.fr/2015BORD0436/document.

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Afin de répondre aux besoins croissants de la simulation numérique et de rester à la pointe de la technologie, les supercalculateurs doivent d’être constamment améliorés. Ces améliorations peuvent être d’ordre matériel ou logiciel. Cela force les applications à s’adapter à un nouvel environnement de programmation au fil de son développement. Il devient alors nécessaire de se poser la question de la pérennité des applications et de leur portabilité d’une machine à une autre. L’utilisation de machines virtuelles peut être une première réponse à ce besoin de pérennisation en stabilisant les envir

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Nigro, Michele. "Progettazione di un cluster sul cloud con il framework HPC." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/20316/.

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Nell'ambito del calcolo distribuito, Microsoft HPC Pack offre un importante strumento per la gestione delle risorse computazionali in maniera efficiente orchestrando lo scheduling delle unità di lavoro all’interno dell’infrastruttura. HPC supporta nativamente l’integrazione sul cloud di Microsoft Azure tramite strategie di networking e virtualizzazione ben definite. Dopo una breve presentazione di Prometeia, presso cui il progetto ha avuto luogo, sono presentate nel dettaglio le tecnologie Microsoft utilizzate nel percorso. Segue una presentazione del progetto, che si compone di due passi: il

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13

Keck, Jean-Baptiste. "Numerical modelling and High Performance Computing for sediment flows." Thesis, Université Grenoble Alpes (ComUE), 2019. http://www.theses.fr/2019GREAM067.

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La dynamique des écoulements sédimentaires est un sujet qui concerne de nombreuses applications en géophysiques, qui vont des questions d'ensablement des estuaires à la compréhension des bassins sédimentaires. Le sujet de cette thèse porte sur la modélisation numérique à haute résolution de ces écoulements et l'implémentation des algorithmes associés sur accélérateurs. Les écoulements sédimentaires font intervenir plusieurs phases qui interagissent, donnant lieu à plusieurs types d'instabilités comme les instabilités de Rayleigh-Taylor et de double diffusivité. Les difficultés pour la simulati

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14

Lofstead, Gerald Fredrick. "Extreme scale data management in high performance computing." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/37232.

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Extreme scale data management in high performance computing requires consideration of the end-to-end scientific workflow process. Of particular importance for runtime performance, the write-read cycle must be addressed as a complete unit. Any optimization made to enhance writing performance must consider the subsequent impact on reading performance. Only by addressing the full write-read cycle can scientific productivity be enhanced. The ADIOS middleware developed as part of this thesis provides an API nearly as simple as the standard POSIX interface, but with the flexibilty to choose what tr

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Etinski, Maja. "DVFS power management in HPC systems." Doctoral thesis, Universitat Politècnica de Catalunya, 2012. http://hdl.handle.net/10803/96192.

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Recent increase in performance of High Performance Computing (HPC) systems has been followed by even higher increase in power consumption. Power draw of modern supercomputers leads to very high operating costs and reliability concerns. Furthermore, it has negative consequences on the environment. Accordingly, over the last decade there have been many works dealing with power/energy management in HPC systems. Since CPUs accounts for a high portion of the total system power consumption, our work aims at CPU power reduction. Dynamic Voltage Frequency Scaling (DVFS) is a widely used techniqu

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Egwutuoha, Ifeanyi Paulinus. "A proactive fault tolerance framework for high performance computing (HPC) systems in the cloud." Thesis, The University of Sydney, 2013. http://hdl.handle.net/2123/11484.

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High Performance Computing (HPC) systems have been widely used by scientists and researchers in both industry and university laboratories to solve advanced computation problems. Most advanced computation problems are either data-intensive or computation-intensive. They may take hours, days or even weeks to complete execution. For example, some of the traditional HPC systems computations run on 100,000 processors for weeks. Consequently traditional HPC systems often require huge capital investments. As a result, scientists and researchers sometimes have to wait in long queues to access shared,

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Satchwell, Steven Tanner. "Isolation of Temporary Storage in High Performance Computing via Linux Namespacing." BYU ScholarsArchive, 2018. https://scholarsarchive.byu.edu/etd/6873.

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Per job isolation of temporary file storage in High Performance Computing (HPC) environments provide benefits in security, efficiency, and administration. HPC system administrators can use the mount_isolation Slurm task plugin to improve security by isolating temporary files where no isolation previously existed. The mount_isolation plugin also increases efficiency by removing obsolete temporary files immediately after each job terminates. This frees valuable disk space in the HPC environment to be used by other jobs. These two improvements reduce the amount of work system administrators must

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Marathe, Aniruddha Prakash. "Evaluation and Optimization of Turnaround Time and Cost of HPC Applications on the Cloud." Diss., The University of Arizona, 2014. http://hdl.handle.net/10150/332825.

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The popularity of Amazon's EC2 cloud platform has increased in commercial and scientific high-performance computing (HPC) applications domain in recent years. However, many HPC users consider dedicated high-performance clusters, typically found in large compute centers such as those in national laboratories, to be far superior to EC2 because of significant communication overhead of the latter. We find this view to be quite narrow and the proper metrics for comparing high-performance clusters to EC2 is turnaround time and cost. In this work, we first compare the HPC-grade EC2 cluster to top-of-

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Gonzalo, P. Rodrigo. "HPC scheduling in a brave new world." Doctoral thesis, Umeå universitet, Institutionen för datavetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-132983.

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Many breakthroughs in scientific and industrial research are supported by simulations and calculations performed on high performance computing (HPC) systems. These systems typically consist of uniform, largely parallel compute resources and high bandwidth concurrent file systems interconnected by low latency synchronous networks. HPC systems are managed by batch schedulers that order the execution of application jobs to maximize utilization while steering turnaround time. In the past, demands for greater capacity were met by building more powerful systems with more compute nodes, greater trans

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GANDHI, SACHIN. "AN FPGA IMPLEMENTATIN OF FDTD CODES FOR RECONFIGURABLE HIGH PERFORMANCE COMPUTING." University of Cincinnati / OhioLINK, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1100550013.

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Brown, Lloyd T. "Representing Multi-Parent Organizational Structures for Use in High Performance Computing Resource Scheduling Algorithms." Diss., CLICK HERE for online access, 2010. http://contentdm.lib.byu.edu/ETD/image/etd3369.pdf.

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TANGHERLONI, ANDREA. "High-Performance Computing to tackle complex problems in life sciences." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2019. http://hdl.handle.net/10281/241217.

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Nuovi ed efficienti metodi computazionali sono attualmente necessari per elaborare la ingente mole di dati generata dalle più recenti tecnologie sviluppate in svariati settori delle scienze della vita, tra cui la biologia computazionale e l’imaging medicale. In altre discipline, come la biologia dei sistemi in cui si modellano matematicamente le reti biochimiche, è necessario affrontare problemi relativi alla mancanza di dati quantitativi, e allo stesso tempo simulare efficacemente le dinamiche emergenti di queste reti. In questi contesti applicativi, le infrastrutture di calcolo ad elevate p

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Alam, Md Maksudul. "HPC-based Parallel Algorithms for Generating Random Networks and Some Other Network Analysis Problems." Diss., Virginia Tech, 2016. http://hdl.handle.net/10919/73582.

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The advancement of modern technologies has resulted in an explosive growth of complex systems, such as the Internet, biological, social, and various infrastructure networks, which have, in turn, contributed to the rise of massive networks. During the past decade, analyzing and mining of these networks has become an emerging research area with many real-world applications. The most relevant problems in this area include: collecting and managing networks, modeling and generating random networks, and developing network mining algorithms. In the era of big data, speed is not an option anymore for

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Remediani, Valerio. "Data-driven Job Scheduling in Constraint Programming for HPC Systems." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/15236/.

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La presente tesi si colloca nell'ambito dei sistemi eterogenei High-Performance-Computing (da ora in poi denominati HPC), che hanno la peculiarità di utilizzare svariati tipi di risorse. In particolare, l’attenzione sarà concentrata sulle tecniche di scheduling che agiscono all’interno di questi sistemi, laddove per scheduling si intendono i metodi funzionali ad elaborare i vari jobs che vengono sottomessi dagli utenti ai sistemi stessi. La trattazione si aprirà con una prima parte di tipo teorico necessaria a delineare le premesse necessarie all’applicazione pratica ad un caso specifico che s

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Monteiro, André Frederico Guilhoto. "HPC management and engineering in the hybrid cloud." Doctoral thesis, Universidade de Aveiro, 2015. http://hdl.handle.net/10773/15737.

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Doutoramento em Informática<br>The evolution and maturation of Cloud Computing created an opportunity for the emergence of new Cloud applications. High-performance Computing, a complex problem solving class, arises as a new business consumer by taking advantage of the Cloud premises and leaving the expensive datacenter management and difficult grid development. Standing on an advanced maturing phase, today’s Cloud discarded many of its drawbacks, becoming more and more efficient and widespread. Performance enhancements, prices drops due to massification and customizable services on demand tri

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Baratta, Giovanni. "Machine Learning Techniques for Predicting the Completion State of High Performance Computing Jobs: a Preliminary Analysis." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020.

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Gli HPC sono complessi sistemi in grado di eseguire applicazioni altamente parallelizzabili che richiedono molte risorse computazionali. Data la presenza di un numero estremamente elevato di componenti nasce l’esigenza di ridurre al minimo i tempi di manutenzione e riparazione e per quanto possibile anticipare eventuali guasti. Per fare questo, tali sistemi sono dotati di avanzati sistemi di monitoraggio che collezionano diversi gigabyte di dati al giorno al fine di essere analizzati per individuare pattern e anomalie. Sono stati già presentati diversi lavori che affrontano questo problema, qu

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Ramiro, Sánchez Carla. "MIMOPack: A High Performance Computing Library for MIMO Communication Systems." Doctoral thesis, Universitat Politècnica de València, 2015. http://hdl.handle.net/10251/53930.

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[EN] Nowadays, several communication standards are emerging and evolving, searching higher transmission rates, reliability and coverage. This expansion is primarily driven by the continued increase in consumption of mobile multimedia services due to the emergence of new handheld devices such as smartphones and tablets. One of the most significant techniques employed to meet these demands is the use of multiple transmit and receive antennas, known as MIMO systems. The use of this technology allows to increase the transmission rate and the quality of the transmission through the use of multipl

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Hashmi, Jahanzeb Maqbool. "Designing High Performance Shared-Address-Space and Adaptive Communication Middlewares for Next-Generation HPC Systems." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1588038721555713.

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Li, Zongze. "Event Sequence Identification and Deep Learning Classification for Anomaly Detection and Predication on High-Performance Computing Systems." Thesis, University of North Texas, 2019. https://digital.library.unt.edu/ark:/67531/metadc1609172/.

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High-performance computing (HPC) systems continue growing in both scale and complexity. These large-scale, heterogeneous systems generate tens of millions of log messages every day. Effective log analysis for understanding system behaviors and identifying system anomalies and failures is highly challenging. Existing log analysis approaches use line-by-line message processing. They are not effective for discovering subtle behavior patterns and their transitions, and thus may overlook some critical anomalies. In this dissertation research, I propose a system log event block detection (SLEBD) met

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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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Rosenvinge, Einar Magnus. "Online Task Scheduling on Heterogeneous Clusters : An Experimental Study." Thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2004. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-278.

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<p>We study the problem of scheduling applications composed of a large number of tasks on heterogeneous clusters. Tasks are identical, independent from each other, and can hence be computed in any order. The goal is to execute all the tasks as quickly as possible. We use the Master-Worker paradigm, where tasks are maintained by the master which will hand out batches of a variable amount of tasks to requesting workers. We introduce a new scheduling strategy, the Monitor strategy, and compare it to other strategies suggested in the literature. An image filtering application, known as matched fil

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Saillard, Emmanuelle. "Static/Dynamic Analyses for Validation and Improvements of Multi-Model HPC Applications." Thesis, Bordeaux, 2015. http://www.theses.fr/2015BORD0176/document.

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L’utilisation du parallélisme des architectures actuelles dans le domaine du calcul hautes performances, oblige à recourir à différents langages parallèles. Ainsi, l’utilisation conjointe de MPI pour le parallélisme gros grain, à mémoire distribuée et OpenMP pour du parallélisme de thread, fait partie des pratiques de développement d’applications pour supercalculateurs. Des erreurs, liées à l’utilisation conjointe de ces langages de parallélisme, sont actuellement difficiles à détecter et cela limite l’écriture de codes, permettant des interactions plus poussées entre ces niveaux de parallélis

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Bhuiyan, Md Hasanuzzaman. "Parallel Algorithms for Switching Edges and Generating Random Graphs from Given Degree Sequences using HPC Platforms." Diss., Virginia Tech, 2017. http://hdl.handle.net/10919/80299.

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Networks (or graphs) are an effective abstraction for representing many real-world complex systems. Analyzing various structural properties of and dynamics on such networks reveal valuable insights about the behavior of such systems. In today's data-rich world, we are deluged by the massive amount of heterogeneous data from various sources, such as the web, infrastructure, and online social media. Analyzing this huge amount of data may take a prohibitively long time and even may not fit into the main memory of a single processing unit, thus motivating the necessity of efficient parallel algori

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Di, Felice Marco. "Unsupervised anomaly detection in HPC systems." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019.

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Alla base di questo studio vi è l'analisi di tecniche non supervisionate applicate per il rilevamento di stati anomali in sistemi HPC, complessi calcolatori capaci di raggiungere prestazioni dell'ordine dei PetaFLOPS. Nel mondo HPC, per anomalia si intende un particolare stato che induce un cambiamento delle prestazioni rispetto al normale funzionamento del sistema. Le anomalie possono essere di natura diversa come il guasto che può riguardare un componente, una configurazione errata o un'applicazione che entra in uno stato inatteso provocando una prematura interruzione dei processi. I dataset

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Shankar, Dipti. "Designing Fast, Resilient and Heterogeneity-Aware Key-Value Storage on Modern HPC Clusters." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1563522337179638.

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Raja, Chandrasekar Raghunath. "Designing Scalable and Efficient I/O Middleware for Fault-Resilient High-Performance Computing Clusters." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1417733721.

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Villamayor, Leguizamón Jorge Luis. "Fault tolerance configuration and management for HPC applications using RADIC architecture." Doctoral thesis, Universitat Autònoma de Barcelona, 2018. http://hdl.handle.net/10803/666057.

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Los sistemas de computación de alto rendimiento (HPC) continúan creciendo exponencialmente en términos de cantidad y densidad de componentes para lograr mayor potencia de cálculo. Al mismo tiempo, cloud computing se está volviendo popular, ya que las características clave tales como escalabilidad, pay-per-use y alta disponibilidad continúan evolucionando. También se está convirtiendo en una plataforma competitiva para ejecutar aplicaciones paralelas HPC debido al rendimiento cada vez mayor de instancias virtualizadas y de alta disponibilidad. Sin embargo, aumentar la cantidad de component

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Čech, Martin. "Řešení pro clusterování serverů." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2009. http://www.nusl.cz/ntk/nusl-218058.

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The work is given an analysis of Open Source Software (further referred as OSS), which allows use and create computer clusters. It explored the issue of clustering and construction of clusters. All installations, configuration and cluster management have been done on the operating system GNU / Linux. Presented OSS makes possible to compile a storage cluster, cluster with load distribution, cluster with high availability and computing cluster. Different types of benchmarks was theoretically analyzed, and practically used for measuring cluster’s performance. Results were compared with others, eg

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Paul, Arnab Kumar. "An Application-Attuned Framework for Optimizing HPC Storage Systems." Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/99793.

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High performance computing (HPC) is routinely employed in diverse domains such as life sciences, and Geology, to simulate and understand the behavior of complex phenomena. Big data driven scientific simulations are resource intensive and require both computing and I/O capabilities at scale. There is a crucial need for revisiting the HPC I/O subsystem to better optimize for and manage the increased pressure on the underlying storage systems from big data processing. Extant HPC storage systems are designed and tuned for a specific set of applications targeting a range of workload characteristics

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Ling, Cheng. "High performance bioinformatics and computational biology on general-purpose graphics processing units." Thesis, University of Edinburgh, 2012. http://hdl.handle.net/1842/6260.

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Bioinformatics and Computational Biology (BCB) is a relatively new multidisciplinary field which brings together many aspects of the fields of biology, computer science, statistics, and engineering. Bioinformatics extracts useful information from biological data and makes these more intuitive and understandable by applying principles of information sciences, while computational biology harnesses computational approaches and technologies to answer biological questions conveniently. Recent years have seen an explosion of the size of biological data at a rate which outpaces the rate of increases

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Didelot, Sylvain. "Improving memory consumption and performance scalability of HPC applications with multi-threaded network communications." Thesis, Versailles-St Quentin en Yvelines, 2014. http://www.theses.fr/2014VERS0029/document.

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La tendance en HPC est à l'accroissement du nombre de coeurs par noeud de calcul pour une quantité totale de mémoire par noeud constante. A large échelle, l'un des principaux défis pour les applications parallèles est de garder une faible consommation mémoire. Cette thèse présente une couche de communication multi-threadée sur Infiniband, laquelle fournie de bonnes performances et une faible consommation mémoire. Nous ciblons les applications scientifiques parallélisées grâce à la bibliothèque MPI ou bien combinées avec un modèle de programmation en mémoire partagée. En partant du constat que

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Bandet, Alexis. "Caractérisation des I/O des applications HPC pour l’ordonnancement." Electronic Thesis or Diss., Bordeaux, 2024. http://www.theses.fr/2024BORD0354.

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L’informatique haute performance est une composante essentielle du flux de travail scientifique d’aujourd’hui. La conception d’aéronefs, la simulation météorologique, la médecine ou la recherche en astronomie ne sont que quelques-uns de ses nombreux domaines d’application. Mais l’émergence récente d’une convergence entre le HPC et le Big Data exerce une forte pression sur les infrastructures d’entrée/sortie (E/S). Contrairement aux ressources de calcul, qui sont attribuées en accès exclusif à une application, les ressources d’E/S sont généralement partagées par toutes les applications, ce qui

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Holmes, Daniel John. "McMPI : a managed-code message passing interface library for high performance communication in C#." Thesis, University of Edinburgh, 2012. http://hdl.handle.net/1842/7732.

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This work endeavours to achieve technology transfer between established best-practice in academic high-performance computing and current techniques in commercial high-productivity computing. It shows that a credible high-performance message-passing communication library, with semantics and syntax following the Message-Passing Interface (MPI) Standard, can be built in pure C# (one of the .Net suite of computer languages). Message-passing has been the dominant paradigm in high-performance parallel programming of distributed-memory computer architectures for three decades. The MPI Standard origin

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Guilloteau, Quentin. "Une approche autonomique à la régulation en ligne de systèmes HPC, avec un support pour la reproductibilité des expériences." Electronic Thesis or Diss., Université Grenoble Alpes, 2023. http://www.theses.fr/2023GRALM075.

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Les systèmes de calcul haute performance (HPC) sont devenus de plus en plus complexes, et leurs performances ainsi que leur consommation d'énergie les rendent de moins en moins prévisibles.Cette imprévisibilité nécessite une gestion en ligne et prudente, afin garantir une qualité de service acceptable aux utilisateurs.Un tel problème de régulation se pose dans le contexte de l'intergiciel de grille de calcul CiGri qui vise à récolter les ressources inutilisées d'un ensemble de grappes via l'injection de tâches faiblement prioritaires.Une stratégie de récolte trop agressive peut conduire à la d

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Berti, Matteo. "Anomalous Activity Detection with Temporal Convolutional Networks in HPC Systems." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/22185/.

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Detecting suspicious or unauthorized activities is an important concern for High-Performance Computing (HPC) systems administrators. Automatic classification of programs running on these systems could be a valuable aid towards this goal. This thesis proposes a machine learning model capable of classifying programs running on a HPC system into various types by monitoring metrics associated with different physical and architectural system components. As a specific case study, we consider the problem of detecting password-cracking programs that may have been introduced into the normal workload o

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Ceccolini, Enrico. "A Machine Learning and Constraint Programming Approach to Power-Aware Job Dispatching in HPC Systems." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/20585/.

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The demand for more powerful supercomputers continues to increase along with the types of applications submitted by researchers. Recent developments in the analysis of big data and new paradigms of programming as the map-reduce, put further emphasis on short jobs. Hence, HPC job dispatcher have to rapidly process a large number of short jobs in real time taking into account their energy needs. Since these can be similar, it is effective to exploit past executions information quickly. The existing Machine Learning methods need to be trained on new data, so we build a very simple data-driven mo

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Brescia, Silvia. "Towards predictive maintenance in High Performance Computing using Deep autoencoder networks: a preliminary study on Marconi100 supercomputer." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/23803/.

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I sistemi HPC, sono macchine complesse con componenti eterogenei che possono rompersi o avere dei malfunzionamenti. Queste problematiche possono provocare ingenti danni sia a livello economico che all’infrastruttura stessa. Allo stato dell’arte il rilevamento automatico delle anomalie su questi sistemi è una attività molto complicata e critica. Quello da cui si può trarre vantaggio per questo scopo è l’enorme quantità di dati provenienti da infrastrutture di monitoraggio di cui questi sistemi sono equipaggiati. Infatti la novità introdotta degli algoritmi di Machine Learning è la capacità di a

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Onder, Ibrahim Seckin. "Execution Of Distributed Database Queries On A Hpc System." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/2/12611524/index.pdf.

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Increasing performance of computers and ability to connect computers with high speed communication networks make distributed databases systems an attractive research area. In this study, we evaluate communication and data processing capabilities of a HPC machine. We calculate accurate cost formulas for high volume data communication between processing nodes and experimentally measure sorting times. A left deep query plan executer has been implemented and experimentally used for executing plans generated by two different genetic algorithms for a distributed database environment using message pa

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Ferreri, Jacopo Ferdinando. "Strip packing bidimensionale con items deformabili con applicazione allo scheduling di task in ambito HPC." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2022. http://amslaurea.unibo.it/25089/.

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La tesi presenta un nuovo problema di ottimizzazione combinatoria, noto come strip packing bidimensionale con elementi deformabili, che modella alcune applicazioni tipiche dello scheduling di task in contesti di High Performance Computing. Per il problema in esame vengono proposte diverse formulazione di programmazione lineare intera e alcuni algoritmi euristici e metaeuristici di soluzione. Tutti gli algoritmi sono stati implementati in codici di calcolo e sono stati testati su un ampio benchmark di istanze derivanti da problemi test della letteratura, al fine di valutare le prestazioni,

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Honore, Valentin. "Convergence HPC - Big Data : Gestion de différentes catégories d'applications sur des infrastructures HPC." Thesis, Bordeaux, 2020. http://www.theses.fr/2020BORD0145.

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Le calcul haute performance est un domaine scientifique dans lequel de très complexes et intensifs calculs sont réalisés sur des infrastructures de calcul à très large échelle appelées supercalculateurs. Leur puissance calculatoire phénoménale permet aux supercalculateurs de générer un flot de données gigantesque qu'il est aujourd'hui difficile d'appréhender, que ce soit d'un point de vue du stockage en mémoire que de l'extraction des résultats les plus importants pour les applications.Nous assistons depuis quelques années à une convergence entre le calcul haute performance et des domaines tel

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