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Dissertations / Theses on the topic 'Scalable Performance'

Author: Grafiati

Published: 5 June 2025

Last updated: 16 July 2025

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1

Gamblin, Todd Reed Daniel A. "Scalable performance measurement and analysis." Chapel Hill, N.C. : University of North Carolina at Chapel Hill, 2009. http://dc.lib.unc.edu/u?/etd,2811.

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Thesis (Ph. D.)--University of North Carolina at Chapel Hill, 2009.<br>Title from electronic title page (viewed Mar. 10, 2010). "... in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Computer Science." Discipline: Computer Science; Department/School: Computer Science.

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2

Leiserson, William Mitchell. "Defining scalable high performance programming with DEF." Thesis, Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/128317.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2020<br>Cataloged from PDF of thesis.<br>Includes bibliographical references (pages 149-156).<br>Performance engineering is performed in languages that are close to the machine, especially C and C++, but these languages have little native support for concurrency. We're deep into the multicore era of computer hardware, however, meaning that scalability is dependent upon concurrent data structures. Contrast this with modern systems languages, like Go, that provide support for concurr

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3

Santiago, Alexandre José Batista. "HEVC scalable analysis : performance and bitrate control." Master's thesis, Universidade de Aveiro, 2016. http://hdl.handle.net/10773/21689.

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Mestrado em Engenharia Eletrónica e Telecomunicações<br>Esta dissertação apresenta um estudo da norma de codificação de vídeo de alta eficiência (HEVC) e a sua extensão para vídeo escalável, SHVC. A norma de vídeo SHVC proporciona um melhor desempenho quando codifica várias camadas em simultâneo do que quando se usa o codificador HEVC numa configuração simulcast. Ambos os codificadores de referência, tanto para a camada base como para a camada superior usam o mesmo modelo de controlo de débito, modelo R-λ, que foi otimizado para o HEVC. Nenhuma otimização de alocação de débito entre camadas fo

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4

Aguilar, Xavier. "Towards Scalable Performance Analysis of MPI Parallel Applications." Licentiate thesis, KTH, High Performance Computing and Visualization (HPCViz), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-165043.

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A considerably fraction of science discovery is nowadays relying on computer simulations. High Performance Computing (HPC) provides scientists with the means to simulate processes ranging from climate modeling to protein folding. However, achieving good application performance and making an optimal use of HPC resources is a heroic task due to the complexity of parallel software. Therefore, performance tools and runtime systems that help users to execute applications in the most optimal way are of utmost importance in the landscape of HPC. In this thesis, we explore different techniques to

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5

Buehrer, Gregory T. "Scalable mining on emerging architectures." Columbus, Ohio : Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1198866625.

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6

Liu, Jiuxing. "Designing high performance and scalable MPI over InfiniBand." The Ohio State University, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=osu1095296555.

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7

Putnam, Patrick P. "Scalable, High-Performance Forward Time Population Genetic Simulation." University of Cincinnati / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1522419645847035.

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8

Hayden, Richard Alexander. "Scalable performance analysis of massively parallel stochastic systems." Thesis, Imperial College London, 2011. http://hdl.handle.net/10044/1/9109.

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The accurate performance analysis of large-scale computer and communication systems is directly inhibited by an exponential growth in the state-space of the underlying Markovian performance model. This is particularly true when considering massively-parallel architectures such as cloud or grid computing infrastructures. Nevertheless, an ability to extract quantitative performance measures such as passage-time distributions from performance models of these systems is critical for providers of these services. Indeed, without such an ability, they remain unable to offer realistic end-to-end servi

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9

Weil, Sage A. "Ceph : reliable, scalable, and high-performance distributed storage /." Diss., Digital Dissertations Database. Restricted to UC campuses, 2007. http://uclibs.org/PID/11984.

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10

Buehrer, Gregory T. "Scalable mining on emerging architectures." The Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=osu1198866625.

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11

Fürlinger, Karl [Verfasser]. "Scalable Automated Online Performance Analysis of Applications using Performance Properties / Karl Fürlinger." Aachen : Shaker, 2006. http://d-nb.info/1186583169/34.

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12

Morari, Alessadro. "Scalable system software for high performance large-scale applications." Doctoral thesis, Universitat Politècnica de Catalunya, 2014. http://hdl.handle.net/10803/144564.

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In the last decades, high-performance large-scale systems have been a fundamental tool for scientific discovery and engineering advances. The sustained growth of supercomputing performance and the concurrent reduction in cost have made this technology available for a large number of scientists and engineers working on many different problems. The design of next-generation supercomputers will include traditional HPC requirements as well as the new requirements to handle data-intensive computations. Data intensive applications will hence play an important role in a variety of fields, and are the

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13

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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14

Schorr, Aric. "Performance analysis of a scalable hardware FPGA Skein implementation /." Online version of thesis, 2010. http://hdl.handle.net/1850/11729.

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15

Hsieh, Cheng-Liang. "Design and Implementation of Scalable High-Performance Network Functions." OpenSIUC, 2017. https://opensiuc.lib.siu.edu/dissertations/1416.

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Service Function Chaining (SFC) enriches the network functionalities to fulfill the increasing demand of value-added services. By leveraging SDN and NFV for SFC, it becomes possible to meet the demand fluctuation and construct a dynamic SFc. However, the integration of SDN with NFV requires packet header modifications, generates excessive network traffics, and induces additional I/O overheads for packet processing. These additional overheads result in a lower system performance, scalability, and agility. To improve the system performance, a co-optimized solution is proposed to implemented NF t

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16

Li, Dong. "Scalable and Energy Efficient Execution Methods for Multicore Systems." Diss., Virginia Tech, 2011. http://hdl.handle.net/10919/26098.

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Multicore architectures impose great pressure on resource management. The exploration spaces available for resource management increase explosively, especially for large-scale high end computing systems. The availability of abundant parallelism causes scalability concerns at all levels. Multicore architectures also impose pressure on power management. Growth in the number of cores causes continuous growth in power. In this dissertation, we introduce methods and techniques to enable scalable and energy efficient execution of parallel applications on multicore architectures. We study strategies

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17

Helal, Ahmed Elmohamadi Mohamed. "Automated Runtime Analysis and Adaptation for Scalable Heterogeneous Computing." Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/96607.

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In the last decade, there have been tectonic shifts in computer hardware because of reaching the physical limits of the sequential CPU performance. As a consequence, current high-performance computing (HPC) systems integrate a wide variety of compute resources with different capabilities and execution models, ranging from multi-core CPUs to many-core accelerators. While such heterogeneous systems can enable dramatic acceleration of user applications, extracting optimal performance via manual analysis and optimization is a complicated and time-consuming process. This dissertation presents grap

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18

Kang, Seong-Ryong. "Performance analysis and network path characterization for scalable internet streaming." Texas A&M University, 2008. http://hdl.handle.net/1969.1/85912.

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Delivering high-quality of video to end users over the best-effort Internet is a challenging task since quality of streaming video is highly subject to network conditions. A fundamental issue in this area is how real-time applications cope with network dynamics and adapt their operational behavior to offer a favorable streaming environment to end users. As an effort towards providing such streaming environment, the first half of this work focuses on analyzing the performance of video streaming in best-effort networks and developing a new streaming framework that effectively utilizes unequal im

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19

Knüpfer, Andreas. "Advanced Memory Data Structures for Scalable Event Trace Analysis." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2009. http://nbn-resolving.de/urn:nbn:de:bsz:14-ds-1239979718089-56362.

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The thesis presents a contribution to the analysis and visualization of computational performance based on event traces with a particular focus on parallel programs and High Performance Computing (HPC). Event traces contain detailed information about speciﬁed incidents (events) during run-time of programs and allow minute investigation of dynamic program behavior, various performance metrics, and possible causes of performance ﬂaws. Due to long running and highly parallel programs and very ﬁne detail resolutions, event traces can accumulate huge amounts of data which become a challenge for int

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20

Schöne, Robert, Joseph Schuchart, Thomas Ilsche, and Daniel Hackenberg. "Scalable Tools for Non-Intrusive Performance Debugging of Parallel Linux Workloads." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-156199.

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There is a variety of tools to measure the performance of Linux systems and the applications running on them. However, the resulting performance data is often presented in plain text format or only with a very basic user interface. For large systems with many cores and concurrent threads, it is increasingly difficult to present the data in a clear way for analysis. Moreover, certain performance analysis and debugging tasks require the use of a high-resolution time-line based approach, again entailing data visualization challenges. Tools in the area of High Performance Computing (HPC) have long

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21

Tran, Viet-Trung. "Scalable data-management systems for Big Data." Phd thesis, École normale supérieure de Cachan - ENS Cachan, 2013. http://tel.archives-ouvertes.fr/tel-00920432.

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Big Data can be characterized by 3 V's. * Big Volume refers to the unprecedented growth in the amount of data. * Big Velocity refers to the growth in the speed of moving data in and out management systems. * Big Variety refers to the growth in the number of different data formats. Managing Big Data requires fundamental changes in the architecture of data management systems. Data storage should continue being innovated in order to adapt to the growth of data. They need to be scalable while maintaining high performance regarding data accesses. This thesis focuses on building scalable data manage

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22

Knüpfer, Andreas. "Advanced Memory Data Structures for Scalable Event Trace Analysis." Doctoral thesis, Technische Universität Dresden, 2008. https://tud.qucosa.de/id/qucosa%3A23611.

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The thesis presents a contribution to the analysis and visualization of computational performance based on event traces with a particular focus on parallel programs and High Performance Computing (HPC). Event traces contain detailed information about speciﬁed incidents (events) during run-time of programs and allow minute investigation of dynamic program behavior, various performance metrics, and possible causes of performance ﬂaws. Due to long running and highly parallel programs and very ﬁne detail resolutions, event traces can accumulate huge amounts of data which become a challenge for int

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23

Raghavan, Venkatesh. "VAMANA -- A high performance, scalable and cost driven XPath engine." Link to electronic thesis, 2004. http://www.wpi.edu/Pubs/ETD/Available/etd-0505104-185545/.

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24

Leung, Raymond Electrical Engineering &amp Telecommunications Faculty of Engineering UNSW. "Scalable video compression with optimized visual performance and random accessibility." Awarded by:University of New South Wales. Electrical Engineering and Telecommunications, 2006. http://handle.unsw.edu.au/1959.4/24192.

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This thesis is concerned with maximizing the coding efficiency, random accessibility and visual performance of scalable compressed video. The unifying theme behind this work is the use of finely embedded localized coding structures, which govern the extent to which these goals may be jointly achieved. The first part focuses on scalable volumetric image compression. We investigate 3D transform and coding techniques which exploit inter-slice statistical redundancies without compromising slice accessibility. Our study shows that the motion-compensated temporal discrete wavelet transform (MC-TDWT)

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25

Forsgren, Daniel. "Robust scalable video multicast and performance issues in wireless LANs /." Stockholm, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-509.

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26

Vairavanathan, Emalayan. "Towards a high-performance scalable storage system for workflow applications." Thesis, University of British Columbia, 2012. http://hdl.handle.net/2429/43664.

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This thesis is motivated by the fact that there is an urgent need to run scientific many-task workflow applications efficiently and easily on large-scale machines. These applications run at large scale on supercomputers and perform large amount of storage I/O. The storage system is identified as the main bottleneck on large-scale computers for many-task workflow applications. The goal of this thesis is to identify the opportunities and recommend solutions to improve the performance of many-task workflow applications. To achieve the above goal this thesis proposes a two-step solution. As the f

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27

Ke, Yu-Kung. "Scalable mechanisms for IP QoS-based routing with performance objective." Diss., Georgia Institute of Technology, 2002. http://hdl.handle.net/1853/13753.

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28

Abu, Doleh Anas. "High Performance and Scalable Matching and Assembly of Biological Sequences." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1469092998.

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29

Dagnely, Pierre. "Scalable Performance Assessment of Industrial Assets: A Data Mining Approach." Doctoral thesis, Universite Libre de Bruxelles, 2019. https://dipot.ulb.ac.be/dspace/bitstream/2013/288650/5/contratPD.pdf.

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Nowadays, more and more industrial assets are continuously monitored and generate vast amount of event logs and sensor data. Data Mining is the field concerned with the exploration and exploitation of these data. Despite the fact that data mining has been researched for decades, the event log data are still underexploited in most data mining workflows although they could provide valuable insights on the asset behavior as they represent the internal processes of an asset. However, exploitation of event log data is challenging, mainly as: 1) event labels are not consistent across manufacturers,

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30

Schöne, Robert, Joseph Schuchart, Thomas Ilsche, and Daniel Hackenberg. "Scalable Tools for Non-Intrusive Performance Debugging of Parallel Linux Workloads." Ottawa Linux Symposium Comittee, 2014. https://tud.qucosa.de/id/qucosa%3A28410.

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There is a variety of tools to measure the performance of Linux systems and the applications running on them. However, the resulting performance data is often presented in plain text format or only with a very basic user interface. For large systems with many cores and concurrent threads, it is increasingly difficult to present the data in a clear way for analysis. Moreover, certain performance analysis and debugging tasks require the use of a high-resolution time-line based approach, again entailing data visualization challenges. Tools in the area of High Performance Computing (HPC) have long

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31

Thievenaz, Hugo. "Scalable Trace-based Compile-Time Memory Allocation." Electronic Thesis or Diss., Lyon, École normale supérieure, 2024. http://www.theses.fr/2024ENSL0108.

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Cette thèse, intitulée “Compilation d'allocation mémoire par analyse de trace avec passage à l'échelle”, étudie l’utilisation de l’analyse dynamique pour en déduire des réductions de trace mémoire. Le but plus large est d’exploiter les informations du programme qui sont disponibles à l’éxecution pour aller plus vite que les techniques d’analyses statiques tradictionnelles, car elles ne parviennent pas à passer à l’échelle pour des noyaux de programmes qui sont plus lourds en termes de nombres d’instructions et qui sont de dimension élevée.La méthodologie de recherche a été d’étudier l’état de

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32

Safranek, Robert J. "Enhancements to the scalable coherent interface cache protocol." PDXScholar, 1999. https://pdxscholar.library.pdx.edu/open_access_etds/3977.

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As the number of NUMA system's cache coherency protocols based on the IEEE Std. 1596-1992, Standard for Scalable Coherent Interface (SCI) Specification increases, it is important to review this complex protocol to determine if the protocol can be enhanced in any way. This research provides two realizable extensions to the standard SCI cache protocol. Both of these extensions lie in the basic confines of the SCI architectures. The first extension is a simplification to the SCI protocol in the area of prepending to a sharing list. Depending if the cache line is marked "Fresh" or "Gone", the flow

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Mohror, Kathryn Marie. "Scalable event tracking on high-end parallel systems." PDXScholar, 2010. https://pdxscholar.library.pdx.edu/open_access_etds/2811.

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Accurate performance analysis of high end systems requires event-based traces to correctly identify the root cause of a number of the complex performance problems that arise on these highly parallel systems. These high-end architectures contain tens to hundreds of thousands of processors, pushing application scalability challenges to new heights. Unfortunately, the collection of event-based data presents scalability challenges itself: the large volume of collected data increases tool overhead, and results in data files that are difficult to store and analyze. Our solution to these problems is

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34

Gordon, Michael I. (Michael Ian) 1978. "Compiler techniques for scalable performance of stream programs on multicore architectures." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/60146.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 211-222).<br>Given the ubiquity of multicore processors, there is an acute need to enable the development of scalable parallel applications without unduly burdening programmers. Currently, programmers are asked not only to explicitly expose parallelism but also concern themselves with issues of granularity, load-balancing, synchronization, and communication. This thesis demonstrates that when algo

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35

Tang, Seok Yee. "Performance analysis of scalable resource allocation for future mobile communication systems." Thesis, University of Surrey, 2004. http://epubs.surrey.ac.uk/844410/.

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The mobile communications industry has undergone rapid developments in the last decade. Consumers and businesses have become increasingly technology savvy and are likely to expect creative wireless access to many services. Consequently, future mobile systems are envisioned to support a wide variety of applications. The support of these diverse services (e.g. data and multimedia) has led to different bandwidth requirements, inevitably rendering many of the traditional radio resource management (RRM) mechanisms deficient. For one, the present radio resource dimensioning strategy that dimensions

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36

Hu, Zhi Ph D. Massachusetts Institute of Technology. "Scalable design of high-performance on-chip Terahertz source and imager." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/113973.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 77-80).<br>In this thesis, two chip designs using the scalable array architecture are introduced. Firstly, we introduce a scalable architecture of coherent harmonic oscillator array for high-power and collimated radiation beam at mid-THz band. The array is 2D-coupled, and each element achieves these functions: (i) maximize oscillation at fundamental frequency fo= 2 50 GHz; (ii) synchronize ph

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37

Sur, Sayantan. "Scalable and high-performance MPI design for very large infiniband clusters." The Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=osu1190049034.

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VAIDYANATHAN, KARTHIKEYAN. "HIGH PERFORMANCE AND SCALABLE SOFT SHARED STATE FOR NEXT-GENERATION DATACENTERS." The Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=osu1211893641.

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Narravula, Sundeep. "Designing High Performance and Scalable Distributed Datacenter Services over Modern Interconnects." The Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=osu1218604342.

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Noronha, Ranjit Mario. "Designing High-Performance And Scalable Clustered Network Attached Storage With Infiniband." The Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=osu1218608130.

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Chakraborty, Sourav. "High Performance and Scalable Cooperative Communication Middleware for Next Generation Architectures." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1563484522149971.

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42

Araujo, Soto Víctor Estuardo. "Performance evaluation of scalable and distributed iot platforms for smart regions." Thesis, Luleå tekniska universitet, Datavetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-65343.

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As the vision of the Internet of Things (IoT) becomes a reality, thousands of devices will beconnected to IoT platforms in smart cities and regions. These devices will actively send dataupdates to cloud-based platforms, as part of smart applications in domains like healthcare, trafficand pollution monitoring. Therefore, it is important to study the ability of modern IoT systemsto handle high rates of data updates coming from devices. In this work we evaluated the per-formance of components of the Internet of Things Services Enablement Architecture of theEuropean initiative FIWARE. We developed

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Pandey, Bikesh. "Analysis of Protein-Protein Interaction Networks Using High Performance Scalable Tools." ScholarWorks@UNO, 2018. https://scholarworks.uno.edu/honors_theses/113.

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Protein-Protein Interaction (PPI) Research currently generates an extraordinary amount of publications and interest in fellow computer scientists and biologists alike because of the underlying potential of the source material that researchers can work with. PPI networks are the networks of protein complexes formed by biochemical events or electrostatic forces serving a biological function [1]. Since the analysis of the protein networks is now growing, we have more information regarding protein, genomes and their influence on life. Today, PPI networks are used to study diseases, improve drugs

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Hilbrich, Tobias. "Runtime MPI Correctness Checking with a Scalable Tools Infrastructure." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-175472.

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Increasing computational demand of simulations motivates the use of parallel computing systems. At the same time, this parallelism poses challenges to application developers. The Message Passing Interface (MPI) is a de-facto standard for distributed memory programming in high performance computing. However, its use also enables complex parallel programing errors such as races, communication errors, and deadlocks. Automatic tools can assist application developers in the detection and removal of such errors. This thesis considers tools that detect such errors during an application run and advanc

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45

Wadhwa, Bharti. "Scalable Data Management for Object-based Storage Systems." Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/99791.

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Parallel I/O performance is crucial to sustain scientific applications on large-scale High-Performance Computing (HPC) systems. Large scale distributed storage systems, in particular the object-based storage systems, face severe challenges for managing the data efficiently. Inefficient data management leads to poor I/O and storage performance in HPC applications and scientific workflows. Some of the main challenges for efficient data management arise from poor resource allocation, load imbalance in object storage targets, and inflexible data sharing between applications

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46

McNair, Daniel A. "Performance of a scalable wastewater treatment package unit and potential military applications." Thesis, Springfield, Va. : Available from National Technical Information Service, 1999. http://handle.dtic.mil/100.2/ADA371973.

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Rönnholm, Niklas. "A study of limitations and performance in scalable hosting using mobile devices." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-224646.

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At present day, distributed computing is a widely used technique, where volunteers support different computing power needs organizations might have. This thesis sought to benchmark distributed computing performance limited to mobile device support since this type of support is seldom done with mobile devices. This thesis proposes two approaches to harnessing computational power and infrastructure of a group of mobile devices. The problems used for benchmarking are small instances of deep learning training. One requirement posed by the mobile devices’ non-static nature was that this should be p

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48

Brunst, Holger. "Integrative concepts for scalable distributed performance analysis and visualization of parallel programs." Aachen Shaker, 2007. http://d-nb.info/987779389/04.

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49

Alrammal, Muath. "Algorithms for XML stream processing : massive data, external memory and scalable performance." Phd thesis, Université Paris-Est, 2011. http://tel.archives-ouvertes.fr/tel-00779309.

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Plusieurs applications modernes nécessitent un traitement de flux massifs de données XML, cela crée de défis techniques. Parmi ces derniers, il y a la conception et la mise en ouvre d'outils pour optimiser le traitement des requêtes XPath et fournir une estimation précise des coûts de ces requêtes traitées sur un flux massif de données XML. Dans cette thèse, nous proposons un nouveau modèle de prédiction de performance qui estime a priori le coût (en termes d'espace utilisé et de temps écoulé) pour les requêtes structurelles de Forward XPath. Ce faisant, nous réalisons une étude expérimentale

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Kraus, Petr. "Scalable Methodology for Performance-based Selection of Security Services for Distributed Systems." NSUWorks, 2011. http://nsuworks.nova.edu/gscis_etd/200.

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Distributed systems are shared by a large number of users that generate task-based workloads. The sharing of hardware and software by multiple workloads mandates the need for security mechanisms that protect the artifacts of individual tasks. Additionally, these systems must meet user-based performance expectations, a factor that must be addressed during the security service selection process. Current performance-based security service selection methodologies use flat GSPN models that suffer from exponential evaluation complexity as the model size increases. Due to this limitation, these metho

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