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Relevant bibliographies by topics / Heterogeneous computing / Dissertations / Theses

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Dissertations / Theses on the topic 'Heterogeneous computing'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Lu, Howard J. (Howard Jason). "Heterogeneous multithreaded computing." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/36584.

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2

Jackson, Robert Owen. "Heterogeneous parallel computing." Thesis, University of Birmingham, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.366162.

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3

Fagg, Graham Edward. "Enabling technologies for parallel heterogeneous computing." Thesis, University of Reading, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.266150.

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4

Scogland, Thomas R. "Runtime Adaptation for Autonomic Heterogeneous Computing." Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/71315.

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Heterogeneity is increasing across all levels of computing, with the rise of accelerators such as GPUs, FPGAs, and other coprocessors into everything from cell phones to supercomputers. More quietly it is increasing with the rise of NUMA systems, hierarchical caching, OS noise, and a myriad of other factors. As heterogeneity becomes a fact of life, efficiently managing heterogeneous compute resources is becoming a critical, and ever more complex, task. The focus of this dissertation is to lay the foundation for an autonomic system for heterogeneous computing, employing runtime adaptation to im

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Shum, Kam Hong. "Adaptive parallelism for computing on heterogeneous clusters." Thesis, University of Cambridge, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.627563.

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6

Lee, Jaekyu. "Shared resource management for efficient heterogeneous computing." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/50217.

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The demand for heterogeneous computing, because of its performance and energy efficiency, has made on-chip heterogeneous chip multi-processors (HCMP) become the mainstream computing platform, as the recent trend shows in a wide spectrum of platforms from smartphone application processors to desktop and low-end server processors. The performance of on-chip GPUs is not yet comparable to that of discrete GPU cards, but vendors have integrated more powerful GPUs and this trend will continue in upcoming processors. In this architecture, several system resources are shared between CPUs and GPUs. T

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7

Herdman, Andy. "The readying of applications for heterogeneous computing." Thesis, University of Warwick, 2017. http://wrap.warwick.ac.uk/102343/.

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High performance computing is approaching a potentially significant change in architectural design. With pressures on the cost and sheer amount of power, additional architectural features are emerging which require a re-think to the programming models deployed over the last two decades. Today's emerging high performance computing (HPC) systems are maximising performance per unit of power consumed resulting in the constituent parts of the system to be made up of a range of different specialised building blocks, each with their own purpose. This heterogeneity is not just limited to the hardware

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8

Sarjanoja, S. (Sampsa). "BM3D image denoising using heterogeneous computing platforms." Master's thesis, University of Oulu, 2015. http://urn.fi/URN:NBN:fi:oulu-201504141380.

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Noise reduction is one of the most fundamental digital image processing problems, and is often designed to be solved at an early stage of the image processing path. Noise appears on the images in many different ways, and it is inevitable. In general, various image processing algorithms perform better if their input is as error-free as possible. In order to keep the processing delays small in different computing platforms, it is important that the noise reduction is performed swiftly. The recent progress in the entertainment industry has led to major improvements in the computing capabilities o

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Elteir, Marwa Khamis. "A MapReduce Framework for Heterogeneous Computing Architectures." Diss., Virginia Tech, 2012. http://hdl.handle.net/10919/28786.

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Nowadays, an increasing number of computational systems are equipped with heterogeneous compute resources, i.e., following different architecture. This applies to the level of a single chip, a single node and even supercomputers and large-scale clusters. With its impressive price-to-performance ratio as well as power efficiently compared to traditional multicore processors, graphics processing units (GPUs) has become an integrated part of these systems. GPUs deliver high peak performance; however efficiently exploiting their computational power requires the exploration of a multi-dimensional s

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10

Lee, Young Choon. "Problem-centric scheduling for heterogeneous computing systems." Thesis, The University of Sydney, 2007. http://hdl.handle.net/2123/9321.

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This project addresses key scheduling problems in heterogeneous computing environments. Heterogeneous computing systems (HCSs) have received increased attention since the 1990s, particularly over the past 10 years with the popularity of grid computing systems. These computing environments consist of a variety of resources interconnected by a high-speed network. Many parallel and distributed applications can take advantage of this computing platform; however, resource heterogeneity and dynamism impose scheduling restrictions. It is extremely difficult for a single scheduling scheme to efficient

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11

Sai, Ranga Prashanth C. "Algorithms for task scheduling in heterogeneous computing environments." Auburn, Ala., 2006. http://repo.lib.auburn.edu/2006%20Fall/SAI_RANGA_58.pdf.

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12

Chen, Keping. "Self-Organised computing in a dynamic heterogeneous environment." Thesis, University of Manchester, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.492715.

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In a distributed, dynamic, and heterogeneous environment, achieving acceptable performance is challenging. This thesis describes research inspired by work in grid performance control and the vision of autonomic computing. It can be summarised in two parts: autonomous performance control and self-organised scheduling.

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Rodrigues, Gabriel Siqueira. "Autonomic goal-driven deployment in heterogeneous computing environments." reponame:Repositório Institucional da UnB, 2016. http://repositorio.unb.br/handle/10482/23185.

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Dissertação (mestrado)—Universidade de Brasília, Instituto de Ciências Exatas, Departamento de Ciência da Computação, 2016.<br>Submitted by Fernanda Percia França (fernandafranca@bce.unb.br) on 2017-03-03T18:16:47Z No. of bitstreams: 1 2016_GabrielSiqueiraRodrigues.pdf: 1418859 bytes, checksum: 2ee51220d6f243fc8432fb73a19952c2 (MD5)<br>Approved for entry into archive by Raquel Viana(raquelviana@bce.unb.br) on 2017-04-04T21:54:40Z (GMT) No. of bitstreams: 1 2016_GabrielSiqueiraRodrigues.pdf: 1418859 bytes, checksum: 2ee51220d6f243fc8432fb73a19952c2 (MD5)<br>Made available in DSpace on 2017-04-

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14

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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Bijanapalli, Chakri Ramakrishna. "Enabling the use of Heterogeneous Computing for Bioinformatics." Thesis, Virginia Tech, 2013. http://hdl.handle.net/10919/23866.

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The huge amount of information in the encoded sequence of DNA and increasing interest in uncovering new discoveries has spurred interest in accelerating the DNA sequencing and alignment processes. The use of heterogeneous systems, that use different types of computational units, has seen a new light in high performance computing in recent years; However expertise in multiple domains and skills required to program these systems is causing an hindrance to bioinformaticians in rapidly deploying their applications into these heterogeneous systems. This work attempts to make an heterogeneous system

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Winkleblack, Scott Kenneth swinkleb. "ReGen: Optimizing Genetic Selection Algorithms for Heterogeneous Computing." DigitalCommons@CalPoly, 2014. https://digitalcommons.calpoly.edu/theses/1236.

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GenSel is a genetic selection analysis tool used to determine which genetic markers are informational for a given trait. Performing genetic selection related analyses is a time consuming and computationally expensive task. Due to an expected increase in the number of genotyped individuals, analysis times will increase dramatically. Therefore, optimization efforts must be made to keep analysis times reasonable. This thesis focuses on optimizing one of GenSel’s underlying algorithms for heterogeneous computing. The resulting algorithm exposes task-level parallelism and data-level parallelism pre

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17

FANFARILLO, ALESSANDRO. "Parallel programming techniques for heterogeneous exascale computing platforms." Doctoral thesis, Università degli Studi di Roma "Tor Vergata", 2014. http://hdl.handle.net/2108/202339.

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Nowadays, the most powerful supercomputers in the world, needed for solving complex models and simulations of critical scientific problems, are able to perform tens of quadrillion (1015) floating point operations per second (tens of PetaFLOPS). Although such big amount of computational power may seem enough, scientists and engineers always need to solve more accurate models, run broader simulations and analyze huge amount of data in less time. In particular, experiments that are currently impossible, dangerous, or too expensive to be realized, can be accurately simulated by solving comp

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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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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/.

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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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Vasanta, Harikrishna. "Secure, privacy assured mechanisms for heterogeneous contextual environments." Thesis, Queensland University of Technology, 2006. https://eprints.qut.edu.au/16177/1/Harikrishna_Vasanta_Thesis.pdf.

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Location information is used to provide a diverse range of services to users such as emergency, navigation, billing, security, information and advertising services. This information is derived from a broad range of indoor and outdoor technologies. The location information thus derived is of different granularity, different co-ordination system and is controlled by numerous service providers. In addition to this, broad selections of devices are used for providing these services. Having a diverse range of applications requiring location information at different levels of granularity, the need

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Vasanta, Harikrishna. "Secure, privacy assured mechanisms for heterogeneous contextual environments." Queensland University of Technology, 2006. http://eprints.qut.edu.au/16177/.

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Location information is used to provide a diverse range of services to users such as emergency, navigation, billing, security, information and advertising services. This information is derived from a broad range of indoor and outdoor technologies. The location information thus derived is of different granularity, different co-ordination system and is controlled by numerous service providers. In addition to this, broad selections of devices are used for providing these services. Having a diverse range of applications requiring location information at different levels of granularity, the need to

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Grewe, Dominik. "Mapping parallel programs to heterogeneous multi-core systems." Thesis, University of Edinburgh, 2014. http://hdl.handle.net/1842/8852.

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Heterogeneous computer systems are ubiquitous in all areas of computing, from mobile to high-performance computing. They promise to deliver increased performance at lower energy cost than purely homogeneous, CPU-based systems. In recent years GPU-based heterogeneous systems have become increasingly popular. They combine a programmable GPU with a multi-core CPU. GPUs have become flexible enough to not only handle graphics workloads but also various kinds of general-purpose algorithms. They are thus used as a coprocessor or accelerator alongside the CPU. Developing applications for GPU-based het

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23

Gelado, Fernández Isaac. "On the programmability of heterogeneous massively-parallel computing systems." Doctoral thesis, Universitat Politècnica de Catalunya, 2010. http://hdl.handle.net/10803/6031.

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Heterogeneous parallel computing combines general purpose processors with accelerators to efficiently execute both sequential control-intensive and data-parallel phases of applications. Existing programming models for heterogeneous parallel computing impose added coding complexity when compared to traditional sequential shared-memory programming models for homogeneous systems. This extra code complexity is assumable in supercomputing environments, where programmability is sacrificed in pursuit of high performance. However, heterogeneous parallel systems are massively reaching the desktop marke

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Banino-Rokkones, Cyril. "Algorithmic and Scheduling Techniques for Heterogeneous and Distributed Computing." Doctoral thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2007. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-1462.

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<p>The computing and communication resources of high performance computing systems are becoming heterogeneous, are exhibiting performance fluctuations and are failing in an unforeseeable manner. The Master-Slave (MS) paradigm, that decomposes the computational load into independent tasks, is well-suited for operating in these environments due to its loose synchronization requirements. The application tasks can be computed in any order, by any slave, and can be resubmitted in case of slave failures. Although, the MS paradigm naturally adapts to dynamic and unreliable environments, it neverthel

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Krommydas, Konstantinos. "Towards Enhancing Performance, Programmability, and Portability in Heterogeneous Computing." Diss., Virginia Tech, 2017. http://hdl.handle.net/10919/77582.

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The proliferation of a diverse set of heterogeneous computing platforms in conjunction with the plethora of programming languages and optimization techniques on each language for each underlying architecture exacerbate widespread adoption of such platforms. This is especially true for novice programmers and the non-technical-savvy masses that are largely precluded from enjoying the advantages of high-performance computing. Moreover, different groups within the heterogeneous computing community (e.g., hardware architects, tool developers, and programmers) are presented with new challenges with

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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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Daga, Mayank. "Architecture-Aware Mapping and Optimization on Heterogeneous Computing Systems." Thesis, Virginia Tech, 2011. http://hdl.handle.net/10919/32535.

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The emergence of scientific applications embedded with multiple modes of parallelism has made heterogeneous computing systems indispensable in high performance computing. The popularity of such systems is evident from the fact that three out of the top five fastest supercomputers in the world employ heterogeneous computing, i.e., they use dissimilar computational units. A closer look at the performance of these supercomputers reveals that they achieve only around 50% of their theoretical peak performance. This suggests that applications that were tuned for erstwhile homogeneous computing may n

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Adurti, Devi Abhiseshu, and Mohit Battu. "Optimization of Heterogeneous Parallel Computing Systems using Machine Learning." Thesis, Blekinge Tekniska Högskola, Institutionen för datavetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-21834.

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Background: Heterogeneous parallel computing systems utilize the combination of different resources CPUs and GPUs to achieve high performance and, reduced latency and energy consumption. Programming applications that target various processing units requires employing different tools and programming models/languages. Furthermore, selecting the most optimal implementation, which may either target different processing units (i.e. CPU or GPU) or implement the various algorithms, is not trivial for a given context. In this thesis, we investigate the use of machine learning to address the selection

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Srivatsan, Siddhartha Eluppai. "Integrating heterogeneous computing resources to form a campus grid." [Gainesville, Fla.] : University of Florida, 2009. http://purl.fcla.edu/fcla/etd/UFE0024690.

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Vella, Kevin J. "Seamless parallel computing on heterogeneous networks of multiprocessor workstations." Thesis, University of Kent, 1998. https://kar.kent.ac.uk/21580/.

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This thesis is concerned with portable, efficient, and, above all, seamless parallel programming of heterogeneous networks of shared memory multiprocessor workstations. The CSP model of concurrency as embodied in the occam language is used to purvey an architecture-independent and elegant view of concurrent systems. Tools and techniques for efficiently executing finely decomposed parallel programs on uniprocessor workstations, shared memory multiprocessor workstations and networks of both are examined in some detail. In particular, scheduling strategies that batch related processes together to

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Di, Giovanni Pasquale. "Enhancing Ubiquitous Computing Environments Through Composition of Heterogeneous Services." Doctoral thesis, Universita degli studi di Salerno, 2016. http://hdl.handle.net/10556/2231.

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2012 - 2013<br>In recent years the substantial advancements in Information and Communication Technologies enabled the development of original software solutions that can provide support to problems people face in their daily activities. Among the technical advancements that have fostered the development of such innovative applications, the gradual transition from stand-alone and centralized architectures to distributed ones and the explosive growth in the area of mobile communication have played a central role. The pro table combination of these advancements has led to the rise of the s

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MA, LIANG. "Low power and high performance heterogeneous computing on FPGAs." Doctoral thesis, Politecnico di Torino, 2019. http://hdl.handle.net/11583/2727228.

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Ribeiro, Tiago Filipe Rodrigues. "Developing and evaluating clopencl applications for heterogeneous clusters." Master's thesis, Instituto Politécnico de Bragança, Escola Superior de Tecnologia e Gestão, 2012. http://hdl.handle.net/10198/7948.

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In the last few years, the computing systems processing capabilities have increased significantly, changing from single-core to multi-core and even many-core systems. Accompanying this evolution, local networks have also become faster, with multi-gigabit technologies like Infiniband, Myrinet and 10G Ethernet. Parallel/distributed programming tools and standards, like POSIX Threads, OpenMP and MPI, have helped to explore these technologies and have been frequently combined, giving rise to Hybrid Programming Models. Recently, co-processors like GPUs and FPGAs, started to be used as accelerators

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Lu, Kai. "Decentralized load balancing in heterogeneous computational grids." Thesis, The University of Sydney, 2007. http://hdl.handle.net/2123/9382.

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With the rapid development of high-speed wide-area networks and powerful yet low-cost computational resources, grid computing has emerged as an attractive computing paradigm. The space limitations of conventional distributed systems can thus be overcome, to fully exploit the resources of under-utilised computing resources in every region around the world for distributed jobs. Workload and resource management are key grid services at the service level of grid software infrastructure, where issues of load balancing represent a common concern for most grid infrastructure developers. Although

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Padhye, Mohini. "Coordinating heterogeneous web services through handhelds using SyD." unrestricted, 2004. http://etd.gsu.edu/theses/available/etd-12062004-125228/.

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Thesis (M.S.)--Georgia State University, 2004.<br>Title from title screen. Sushil K. Prasad, committee chair; Anu Bourgeois, Alex Zelikovsky, committee members. Description based on contents viewed Feb. 26, 2007. Includes bibliographical references (p. 55-59). Source code: p. 75-123.

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Li, Yue. "Edge computing-based access network selection for heterogeneous wireless networks." Thesis, Rennes 1, 2017. http://www.theses.fr/2017REN1S042/document.

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Au cours de ces dernières décennies, les réseaux de télécommunications mobiles ont évolué de la 1G à la 4G. La 4G permet la coexistence de différents réseaux d'accès. Ainsi, les utilisateurs ont la capacité de se connecter à un réseau hétérogène, constitué de plusieurs réseaux d'accès. Toutefois, la sélection du réseau approprié n'est pas une tâche facile pour les utilisateurs mobiles puisque les conditions de chaque réseau d'accès changent rapidement. Par ailleurs, en termes d'usage, le streaming vidéo devient le service principal de transfert de données sur les réseaux mobiles, ce qui amène

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

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

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Kao, Yi-Hsuan. "Optimizing task assignment for collaborative computing over heterogeneous network devices." Thesis, University of Southern California, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10124490.

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<p> The Internet of Things promises to enable a wide range of new applications involving sensors, embedded devices and mobile devices. Different from traditional cloud computing, where the centralized and powerful servers offer high quality computing service, in the era of the Internet of Things, there are abundant computational resources distributed over the network. These devices are not as powerful as servers, but are easier to access with faster setup and short-range communication. However, because of energy, computation, and bandwidth constraints on smart things and other edge devices, it

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Schultek, Brian Robert. "Design and Implementation of the Heterogeneous Computing Device Management Architecture." University of Dayton / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1417801414.

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Pagani, Marco. "Enabling Predictable Hardware Acceleration in Heterogeneous SoC-FPGA Computing Platforms." Thesis, Lille 1, 2020. http://www.theses.fr/2020LIL1I016.

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Les architectures informatiques modernes pour les systèmes intégrés évoluent vers des plateformes de plus en plus hétérogènes, comprenant différents types de processeurs et d'accélérateurs. Cette évolution est entraînée par la nécessité de répondre à la demande croissante de capacité de calcul par les systèmes cyber-physiques modernes. Ces systèmes doivent acquérir et traiter de grandes quantités de données, provenant de différents capteurs, afin d'exécuter les tâches de contrôle et de surveillance nécessaires. Ces exigences se traduisent par la nécessité d'exécuter des charges de calcul compl

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Brown, Grant Donald. "Application Of Heterogeneous Computing Techniques To Compartmental Spatiotemporal Epidemic Models." Diss., University of Iowa, 2015. https://ir.uiowa.edu/etd/1554.

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The application of spatial methods to epidemic estimation and prediction problems is a vibrant and active area of research. In many cases, however, well thought out and laboratory supported models for epidemic patterns may be easy to specify but extremely difficult to fit efficiently. While this problem exists in many scientific disciplines, epidemic modeling is particularly prone to this challenge due to the rate at which the problem scope grows as a function of the size of the spatial and temporal domains involved. An additional barrier to widespread use of spatiotemporal epidemic models is

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Cumming, Benjamin Donald. "Modelling sea water intrusion in coastal aquifers using heterogeneous computing." Thesis, Queensland University of Technology, 2012. https://eprints.qut.edu.au/61038/1/Benjamin_Cumming_Thesis.pdf.

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The objective of this PhD research program is to investigate numerical methods for simulating variably-saturated flow and sea water intrusion in coastal aquifers in a high-performance computing environment. The work is divided into three overlapping tasks: to develop an accurate and stable finite volume discretisation and numerical solution strategy for the variably-saturated flow and salt transport equations; to implement the chosen approach in a high performance computing environment that may have multiple GPUs or CPU cores; and to verify and test the implementation. The geological descr

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Faticanti, Francescomaria. "Resource Allocation Strategies in Highly Distributed and Heterogeneous Computing Systems." Doctoral thesis, Università degli studi di Trento, 2021. http://hdl.handle.net/11572/321482.

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The spread of IoT devices has led to the design of new extensions of cloud computing, such as fog computing, providing IoT applications with reduced latency, location-awareness and mobility support. The term cloud-to-things continuum in this context refers to the fact that the computation is no longer confined to a few data centers but workloads can be displaced from the central cloud to the edge of network involving multiple infrastructure owners and several devices with different computational characteristics. This heterogeneity impacts the capability of the infrastructure owner of satisfyin

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Kerr, Andrew. "A model of dynamic compilation for heterogeneous compute platforms." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/47719.

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Trends in computer engineering place renewed emphasis on increasing parallelism and heterogeneity. The rise of parallelism adds an additional dimension to the challenge of portability, as different processors support different notions of parallelism, whether vector parallelism executing in a few threads on multicore CPUs or large-scale thread hierarchies on GPUs. Thus, software experiences obstacles to portability and efficient execution beyond differences in instruction sets; rather, the underlying execution models of radically different architectures may not be compatible. Dynamic compilatio

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Raman, Pirabhu. "GEMS Gossip-Enabled Monitoring Service for heterogeneous distributed systems /." [Gainesville, Fla.] : University of Florida, 2002. http://purl.fcla.edu/fcla/etd/UFE0000598.

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Chang, He. "Server selection for heterogeneous cloud video services." HKBU Institutional Repository, 2017. http://repository.hkbu.edu.hk/etd_oa/419.

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Server selection is an important problem of cloud computing in which cloud service providers direct user demands to servers in one of the multiple data centers located in different geographical locations. The existing solutions usually assume homogeneity of cloud services (i.e., all users request the same type of service) and handle user demands in an individual basis which incurs high computational overhead. In this study, we propose a new and effective server selection scheme in which diversities of cloud services are taken into account. We focus on a specific cloud service, i.e., online vid

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Rafique, Muhammad Mustafa. "An Adaptive Framework for Managing Heterogeneous Many-Core Clusters." Diss., Virginia Tech, 2011. http://hdl.handle.net/10919/29119.

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The computing needs and the input and result datasets of modern scientific and enterprise applications are growing exponentially. To support such applications, High-Performance Computing (HPC) systems need to employ thousands of cores and innovative data management. At the same time, an emerging trend in designing HPC systems is to leverage specialized asymmetric multicores, such as IBM Cell and AMD Fusion APUs, and commodity computational accelerators, such as programmable GPUs, which exhibit excellent price to performance ratio as well as the much needed high energy efficiency. While such ac

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Huang, Jun. "Heterogeneity-aware approaches to optimizing performance of computing and communication tasks." Auburn, Ala., 2005. http://repo.lib.auburn.edu/2005%20Fall/Dissertation/HUANG_JUN_28.pdf.

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Porter, N. Wayne. "Resource usage for adaptive C4I models in a heterogeneous computing environment." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1999. http://handle.dtic.mil/100.2/ADA366190.

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Abstract:

Thesis (M.S. in Computer Science) Naval Postgraduate School, June 1999.<br>"June 1999". Thesis advisor(s): Debra Hensgen, William G. Kemple. Includes bibliographical references (p. 175-179). Also available online.

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

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