Relevant bibliographies by topics / Benchmarking and High-Performance Computing / Dissertations / Theses
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Dissertations / Theses on the topic 'Benchmarking and High-Performance Computing'

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Published: 3 June 2025
Last updated: 20 July 2025

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1

Ravindrudu, Rahul. "Benchmarking More Aspects of High Performance Computing." Ames, Iowa : Oak Ridge, Tenn. : Ames Laboratory ; distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2004. http://www.osti.gov/servlets/purl/837280-06M7ga/webviewable/.

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Thesis (M.S.); Submitted to Iowa State Univ., Ames, IA (US); 19 Dec 2004.<br>Published through the Information Bridge: DOE Scientific and Technical Information. "IS-T 2196" Rahul Ravindrudu. US Department of Energy 12/19/2004. Report is also available in paper and microfiche from NTIS.
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2

Sangroya, Amit. "Towards dependability and performance benchmarking for cloud computing services." Thesis, Grenoble, 2014. http://www.theses.fr/2014GRENM016/document.

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Le Cloud Computing est en plein essor, grace a ses divers avantages, telsl'elasticite, le cout, ou encore son importante exibilite dans le developpementd'applications. Il demeure cependant des problemes en suspens, lies auxperformances, a la disponibilite, la fiabilite, ou encore la securite. De nombreusesetudes se focalisent sur la fiabilite et les performance dans les servicesdu Cloud, qui sont les points critiques pour le client. On retrouve parmicelles-ci plusieurs themes emergents, allant de l'ordonnancement de tachesau placement de donnees et leur replication, en passant par la tolerance
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3

Jayasinghe, Indika D. "An automated approach to create, manage and analyze large- scale experiments for elastic n-tier application in clouds." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/49098.

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Cloud computing has revolutionized the computing landscape by providing on-demand, pay-as-you-go access to elastically scalable resources. Many applications are now being migrated from on-premises data centers to public clouds; yet, the transition to the cloud is not always straightforward and smooth. An application that performed well in an on-premise data center may not perform identically in public computing clouds, because many variables like virtualization can impact the application's performance. By collecting significant performance data through experimental study, the cloud's complexit
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Soni, Neha. "An Empirical Performance Analysis Of IaaS Clouds With CloudStone Web 2.0 Benchmarking Tool." UNF Digital Commons, 2015. http://digitalcommons.unf.edu/etd/583.

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Web 2.0 applications have become ubiquitous over the past few years because they provide useful features such as a rich, responsive graphical user interface that supports interactive and dynamic content. Social networking websites, blogs, auctions, online banking, online shopping and video sharing websites are noteworthy examples of Web 2.0 applications. The market for public cloud service providers is growing rapidly, and cloud providers offer an ever-growing list of services. As a result, developers and researchers find it challenging when deciding which public cloud service to use for deplo
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Muthiah, Karthika Ms. "Performance Evaluation of Hadoop based Big Data Applications with HiBench Benchmarking tool on IaaS Cloud Platforms." UNF Digital Commons, 2017. https://digitalcommons.unf.edu/etd/771.

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Cloud computing is a computing paradigm where large numbers of devices are connected through networks that provide a dynamically scalable infrastructure for applications, data and storage. Currently, many businesses, from small scale to big companies and industries, are changing their operations to utilize cloud services because cloud platforms could increase company’s growth through process efficiency and reduction in information technology spending [Coles16]. Companies are relying on cloud platforms like Amazon Web Services, Google Compute Engine, and Microsoft Azure, etc., for their busines
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6

Nielson, Curtis R. "A Descriptive Performance Model of Small, Low Cost, Diskless Beowulf Clusters." Diss., CLICK HERE for online access, 2003. http://contentdm.lib.byu.edu/ETD/image/etd280.pdf.

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7

Deval, Niharika. "Empirical Evaluation of Cloud IAAS Platforms using System-level Benchmarks." UNF Digital Commons, 2017. https://digitalcommons.unf.edu/etd/765.

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Cloud Computing is an emerging paradigm in the field of computing where scalable IT enabled capabilities are delivered ‘as-a-service’ using Internet technology. The Cloud industry adopted three basic types of computing service models based on software level abstraction: Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS), and Software-as-a-Service (SaaS). Infrastructure-as-a-Service allows customers to outsource fundamental computing resources such as servers, networking, storage, as well as services where the provider owns and manages the entire infrastructure. This allows custom
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8

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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9

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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10

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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11

Steen, Adrianus Jan van der. "Benchmarking of high performance computers for scientific and technical computation." [S.l.] : Utrecht : [s.n.] ; Universiteitsbibliotheek Utrecht [Host], 1997. http://www.ubu.ruu.nl/cgi-bin/grsn2url?01761909.

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12

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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13

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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14

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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15

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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16

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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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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18

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

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19

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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20

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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23

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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24

Wong, Yee Lok Ph D. Massachusetts Institute of Technology. "High-performance computing with PetaBricks and Julia." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/67818.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mathematics, 2011.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 163-170).<br>We present two recent parallel programming languages, PetaBricks and Julia, and demonstrate how we can use these two languages to re-examine classic numerical algorithms in new approaches for high-performance computing. PetaBricks is an implicitly parallel language that allows programmers to naturally express algorithmic choice explicitly at the language level. The PetaBricks compiler and autotuner is not only able
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25

Jararweh, Yaser. "Autonomic Programming Paradigm for High Performance Computing." Diss., The University of Arizona, 2010. http://hdl.handle.net/10150/193527.

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The advances in computing and communication technologies and software tools have resulted in an explosive growth in networked applications and information services that cover all aspects of our life. These services and applications are inherently complex, dynamic and heterogeneous. In a similar way, the underlying information infrastructure, e.g. the Internet, is large, complex, heterogeneous and dynamic, globally aggregating large numbers of independent computing and communication resources. The combination of the two results in application development and management complexities that break c
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HEMMATPOUR, MASOUD. "High Performance Computing using Infiniband-based clusters." Doctoral thesis, Politecnico di Torino, 2019. http://hdl.handle.net/11583/2750549.

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27

Petkov, Ventsislav [Verfasser]. "Automatic Performance Engineering Workflows for High Performance Computing / Ventsislav Petkov." München : Verlag Dr. Hut, 2014. http://d-nb.info/1051549671/34.

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28

Beserra, David Willians dos Santos Cavalcanti. "Performance analysis of virtualization technologies in high performance computing enviroments." Universidade Federal de Sergipe, 2016. https://ri.ufs.br/handle/riufs/3382.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES<br>Computação de Alto Desempenho (CAD) agrega poder computacional com o objetivo de solucionar problemas complexos e de grande escala em diferentes áreas do conhecimento, como ciência e engenharias, variando desde aplicações medias 3D ate a simulação do universo. Atualmente, os usuários de CAD podem utilizar infraestruturas de Nuvem como uma alternativa de baixo custo para a execução de suas aplicações. Apesar de ser possível utilizar as infraestruturas de nuvem como plataformas de CAD, muitas questões referentes as sobre
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Roloff, Eduardo. "Viability and performance of high-performance computing in the cloud." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2013. http://hdl.handle.net/10183/79594.

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Computação em nuvem é um novo paradigma, onde recursos computacionais são disponibilizados como serviços. Neste cenário, o usuário não tem a necessidade de adquirir infraestrutura, ele pode alugar os recursos de um provedor e usá-los durante um certo período de tempo. Além disso, o usuário pode facilmente alocar e desalocar quantos recursos ele desejar, num ambiente totalmente elástico. O usuário só é cobrado pelo efetivo uso que for feito dos recursos alocados, isso significa que ele somente pagará pelo que for utilizado. Por outro lado, usuários de processamento de alto desempenho (PAD) tem
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30

Nassar, Samuel. "High performance parallel Java with Javaparty." Thesis, Monterey, Calif. : Naval Postgraduate School, 2008. http://handle.dtic.mil/100.2/ADA483466.

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Thesis (M.S. in Electrical Engineering)--Naval Postgraduate School, June 2008.<br>Thesis Advisor(s): Su, Weilian. "June 2008." Description based on title screen as viewed on August 26, 2008. Includes bibliographical references (p. 59-60). Also available in print.
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Hutchins, Richard Chad. "Feasibility of virtual machine and cloud computing technologies for high performance computing." Thesis, Monterey, California. Naval Postgraduate School, 2013. http://hdl.handle.net/10945/42447.

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Approved for public release; distribution is unlimited<br>Reissued May 2014 with additions to the acknowledgments<br>Knowing the future weather on the battlefield with high certainty can result in a higher advantage over the adversary. To create this advantage for the United States, the U.S. Navy utilizes the Coupled Ocean/Atmosphere Mesoscale Prediction System (COAMPS) to create high spatial resolution, regional, numerical weather prediction (NWP) forecasts. To compute a forecast, COAMPS runs on high performance computing (HPC) systems. These HPC systems are large, dedicated supercomputers wi
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32

Ge, Rong. "Theories and Techniques for Efficient High-End Computing." Diss., Virginia Tech, 2007. http://hdl.handle.net/10919/28863.

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Today, power consumption costs supercomputer centers millions of dollars annually and the heat produced can reduce system reliability and availability. Achieving high performance while reducing power consumption is challenging since power and performance are inextricably interwoven; reducing power often results in degradation in performance. This thesis aims to address these challenges by providing theories, techniques, and tools to 1) accurately predict performance and improve it in systems with advanced hierarchical memories, 2) understand and evaluate power and its impacts on performance,
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33

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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34

Lee, Dongwon. "High-performance computer system architectures for embedded computing." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/42766.

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The main objective of this thesis is to propose new methods for designing high-performance embedded computer system architectures. To achieve the goal, three major components - multi-core processing elements (PEs), DRAM main memory systems, and on/off-chip interconnection networks - in multi-processor embedded systems are examined in each section respectively. The first section of this thesis presents architectural enhancements to graphics processing units (GPUs), one of the multi- or many-core PEs, for improving performance of embedded applications. An embedded application is first mapped ont
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35

Andrade, Jorge. "Grid and High-Performance Computing for Applied Bioinformatics." Doctoral thesis, Stockholm : Bioteknologi, Kungliga Tekniska högskolan, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4573.

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36

Starke, Christoph [Verfasser]. "High Performance Computing zur technischen Finanzmarktanalyse / Christoph Starke." Kiel : Universitätsbibliothek Kiel, 2012. http://d-nb.info/1026442737/34.

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37

Mukhamedov, Farukh. "High performance computing for the discontinuous Galerkin methods." Thesis, Brunel University, 2018. http://bura.brunel.ac.uk/handle/2438/16769.

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Discontinuous Galerkin methods form a class of numerical methods to find a solution of partial differential equations by combining features of finite element and finite volume methods. Methods are defined using a weak form of a particular model problem, allowing for discontinuities in the discrete trial and test spaces. Using a discontinuous discrete space mesh provides proper flexibility and a compact discretisation pattern, allowing a multidomain and multiphysics simulation. Discontinuous Galerkin methods with a higher approximation polynomial order, the socalled p-version, performs better i
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Luchangco, Victor. "Memory consistency models for high performance distributed computing." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/86772.

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Thesis (Sc. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2001.<br>Includes bibliographical references (p. 195-205) and index.<br>This thesis develops a mathematical framework for specifying the consistency guarantees of high performance distributed shared memory multiprocessors. This framework is based on computations, which specify the operations requested and constraints on how these operations may be applied; we call the framework computation-centric. This framework is expressive enough to specify high level synchronization mechanisms such as locks. We use th
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Istoan, Matei Valentin. "High-performance coarse operators for FPGA-based computing." Thesis, Lyon, 2017. http://www.theses.fr/2017LYSEI030/document.

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Les FPGA (Field Programmable Gate Arrays) constituent un type de circuit reprogrammable qui, sous certaines conditions, peuvent avoir de meilleures performances que les microprocesseurs classiques. Les FPGA utilisent le circuit comme paradigme de programmation, ce qui permet d'effectuer des calculs parallèles propres à l'application visée. Ils permettent aussi d’atteindre l’efficacité arithmétique: un bit ne doit être calculé que s'il est utile dans le résultat final. Pour ce faire, l’arithmétique utilisée par les FPGA ne peut se limiter qu’à des fonctions conçues pour les microprocesseurs. Ce
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Adhinarayanan, Vignesh. "Models and Techniques for Green High-Performance Computing." Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/98660.

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High-performance computing (HPC) systems have become power limited. For instance, the U.S. Department of Energy set a power envelope of 20MW in 2008 for the first exascale supercomputer now expected to arrive in 2021--22. Toward this end, we seek to improve the greenness of HPC systems by improving their performance per watt at the allocated power budget. In this dissertation, we develop a series of models and techniques to manage power at micro-, meso-, and macro-levels of the system hierarchy, specifically addressing data movement and heterogeneity. We target the chip interconnect at the mi
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Aji, Ashwin M. "Programming High-Performance Clusters with Heterogeneous Computing Devices." Diss., Virginia Tech, 2015. http://hdl.handle.net/10919/52366.

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Today's high-performance computing (HPC) clusters are seeing an increase in the adoption of accelerators like GPUs, FPGAs and co-processors, leading to heterogeneity in the computation and memory subsystems. To program such systems, application developers typically employ a hybrid programming model of MPI across the compute nodes in the cluster and an accelerator-specific library (e.g.; CUDA, OpenCL, OpenMP, OpenACC) across the accelerator devices within each compute node. Such explicit management of disjointed computation and memory resources leads to reduced productivity and performance. Thi
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Ali, Nawab. "Rethinking I/O in High-Performance Computing Environments." The Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1259094051.

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Stock, Kevin Alan. "Vectorization and Register Reuse in High Performance Computing." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1408969385.

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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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45

Aitken, Michael James. "A reconfigurable accelerator card for high performance computing." Master's thesis, University of Cape Town, 2008. http://hdl.handle.net/11427/5234.

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Includes abstract.<br>Includes bibliographical references (leaves 68-70).<br>This thesis describes the design, implementation, and testing of a reconfigurable accelerator card. The goal of the project was to provide a hardware platform for future students to carry out research into reconfigurable computing. Our accelerator design is an expansion card for a traditional Von Neumann host machine, and contains two field-programmable gate arrays. By inserting the card into a host machine, intrinsically parallel processing tasks can be exported to the FPGAs. This is similar to the way in which video
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Barrett, Brian W. "One-sided communication for high performance computing applications." [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:3354909.

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Thesis (Ph.D.)--Indiana University, Dept. of Computer Science, 2009.<br>Title from PDF t.p. (viewed on Feb. 4, 2010). Source: Dissertation Abstracts International, Volume: 70-04, Section: B, page: 2379. Adviser: Andrew Lumsdaine.
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Ahmed, Kishwar. "Energy Demand Response for High-Performance Computing Systems." FIU Digital Commons, 2018. https://digitalcommons.fiu.edu/etd/3569.

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The growing computational demand of scientific applications has greatly motivated the development of large-scale high-performance computing (HPC) systems in the past decade. To accommodate the increasing demand of applications, HPC systems have been going through dramatic architectural changes (e.g., introduction of many-core and multi-core systems, rapid growth of complex interconnection network for efficient communication between thousands of nodes), as well as significant increase in size (e.g., modern supercomputers consist of hundreds of thousands of nodes). With such changes in architect
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48

Chiesi, Matteo <1984&gt. "Heterogeneous Multi-core Architectures for High Performance Computing." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amsdottorato.unibo.it/6469/1/strutt.pdf.

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This thesis deals with heterogeneous architectures in standard workstations. Heterogeneous architectures represent an appealing alternative to traditional supercomputers because they are based on commodity components fabricated in large quantities. Hence their price-performance ratio is unparalleled in the world of high performance computing (HPC). In particular, different aspects related to the performance and consumption of heterogeneous architectures have been explored. The thesis initially focuses on an efficient implementation of a parallel application, where the execution time
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49

Chiesi, Matteo <1984&gt. "Heterogeneous Multi-core Architectures for High Performance Computing." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amsdottorato.unibo.it/6469/.

Full text
Abstract:
This thesis deals with heterogeneous architectures in standard workstations. Heterogeneous architectures represent an appealing alternative to traditional supercomputers because they are based on commodity components fabricated in large quantities. Hence their price-performance ratio is unparalleled in the world of high performance computing (HPC). In particular, different aspects related to the performance and consumption of heterogeneous architectures have been explored. The thesis initially focuses on an efficient implementation of a parallel application, where the execution time
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50

AZIMI, SARAH. "Digital design techniques for dependable High-Performance Computing." Doctoral thesis, Politecnico di Torino, 2019. http://hdl.handle.net/11583/2734213.

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