Relevant bibliographies by topics / Hybrid Computing

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Hybrid Computing'

Author: Grafiati
Published: 4 June 2021
Last updated: 11 February 2022

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Journal articles on the topic "Hybrid Computing"

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Li, Xianliang, and Hiroshi Okuda. "On Accuracy of Hybrid Computing for Evaluating Derivatives." Proceedings of OPTIS 2004.6 (2004): 215–19. http://dx.doi.org/10.1299/jsmeoptis.2004.6.215.

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Skopec, Robert. "Hybrid Quantum Computing Apocalypse." American International Journal of Multidisciplinary Scientific Research 1, no. 1 (August 22, 2018): 31–38. http://dx.doi.org/10.46281/aijmsr.v1i1.181.

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Chinese scientists won a major victory, by proving that the Majorana fermions – a particle we’ve found tantalizing hints for years – genuinely exists. This discovery has huge implications for quantum computing, and it might change the world. Don Lincoln, a senior physicist at Fermi lab, does research using the Large Hadrons Collider. He is the author of “The Large Hadrons Collider: The Extraordinary Story of the Higgs Boson and Other Stuff That Will Blow Your Mind”, and produces a series of science education videos. To the question: Why is there (in our Universe) something including cancer, rather than nothing? He is giving the simplest scientific answer: We shouldn’t exist at all.
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Wilson, Christopher, and Alan George. "CSP Hybrid Space Computing." Journal of Aerospace Information Systems 15, no. 4 (April 2018): 215–27. http://dx.doi.org/10.2514/1.i010572.

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Brooks, David. "CPUs, GPUs, and Hybrid Computing." IEEE Micro 31, no. 5 (September 2011): 4–6. http://dx.doi.org/10.1109/mm.2011.85.

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Laiho, Mika, Jennifer O. Hasler, Jiantao Zhou, Chao Du, Wei Lu, Eero Lehtonen, and Jussi H. Poikonen. "FPAA/Memristor Hybrid Computing Infrastructure." IEEE Transactions on Circuits and Systems I: Regular Papers 62, no. 3 (March 2015): 906–15. http://dx.doi.org/10.1109/tcsi.2014.2386773.

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Wu, Bin, and Xiao Guang Zou. "Computing Invariants for Hybrid Systems." Applied Mechanics and Materials 380-384 (August 2013): 556–61. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.556.

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This paper address the problem of generating invariants of hybrid systems. We present a new approach, for generating polynomial inequality invariants of hybrid systems through solving semi-algebraic systems and quantifier elimination. From the preliminary experiment results, we demonstrate the feasibility of our approach.
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Proctor, Timothy J., and Viv Kendon. "Hybrid quantum computing with ancillas." Contemporary Physics 57, no. 4 (March 15, 2016): 459–76. http://dx.doi.org/10.1080/00107514.2016.1152700.

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Jain, Tarun, and Jishnu Hazra. "Hybrid Cloud Computing Investment Strategies." Production and Operations Management 28, no. 5 (January 17, 2019): 1272–84. http://dx.doi.org/10.1111/poms.12991.

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Mateescu, Gabriel, Wolfgang Gentzsch, and Calvin J. Ribbens. "Hybrid Computing—Where HPC meets grid and Cloud Computing." Future Generation Computer Systems 27, no. 5 (May 2011): 440–53. http://dx.doi.org/10.1016/j.future.2010.11.003.

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Guo, Ping, Liping Su, Lijiang Ning, and Guangxiang Dan. "Hybrid Encryption Algorithms in Cloud Computing." Information Technology Journal 12, no. 14 (July 1, 2013): 3015–19. http://dx.doi.org/10.3923/itj.2013.3015.3019.

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Dissertations / Theses on the topic "Hybrid Computing"

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Grandin, Henrik. "Hybrid Quaternary/Binary Computing." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-305243.

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Due to scaling limitations and the end of Dennard scaling, energy efficiency has become a primary design goal. Approximate computing aims to solve this problem by sacrificing accuracy for efficiency. This project have evaluated a dual mode architecture that gives accuracy when needed and energy efficiency when it is possible. By combining binary and quaternary logic, up to half of the logic could be deactivated whenever absolute correctness is not critical. This project also proposes a hybrid mode, which aims to increase the number of cases where a more energy efficient representation could be used. By combining the two modes through using the more stable binary logic for the bits with higher significance, while at the same time using the energy efficient quaternary logic for the bits with the least significance, energy can still be saved while at the same time drastically limiting the potential size of the error. Simulations have shown that the hybrid mode not only succeeds in decreasing the maximum size of errors, but also reduces the total number of errors, compared to the quaternary mode. Results show increased energy efficiency of 10% without altering the perceived result at all. If we allow for some degradation of the result, the energy efficiency would improve with almost 40%.
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Lee, Joo Hong. "Hybrid Parallel Computing Strategies for Scientific Computing Applications." Diss., Virginia Tech, 2012. http://hdl.handle.net/10919/28882.

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Multi-core, multi-processor, and Graphics Processing Unit (GPU) computer architectures pose significant challenges with respect to the efficient exploitation of parallelism for large-scale, scientific computing simulations. For example, a simulation of the human tonsil at the cellular level involves the computation of the motion and interaction of millions of cells over extended periods of time. Also, the simulation of Radiative Heat Transfer (RHT) effects by the Photon Monte Carlo (PMC) method is an extremely computationally demanding problem. The PMC method is example of the Monte Carlo simulation method—an approach extensively used in wide of application areas. Although the basic algorithmic framework of these Monte Carlo methods is simple, they can be extremely computationally intensive. Therefore, an efficient parallel realization of these simulations depends on a careful analysis of the nature these problems and the development of an appropriate software framework. The overarching goal of this dissertation is develop and understand what the appropriate parallel programming model should be to exploit these disparate architectures, both from the metric of efficiency, as well as from a software engineering perspective. In this dissertation we examine these issues through a performance study of PathSim2, a software framework for the simulation of large-scale biological systems, using two different parallel architectures’ distributed and shared memory. First, a message-passing implementation of a multiple germinal center simulation by PathSim2 is developed and analyzed for distributed memory architectures. Second, a germinal center simulation is implemented on shared memory architecture with two parallelization strategies based on Pthreads and OpenMP. Finally, we present work targeting a complete hybrid, parallel computing architecture. With this work we develop and analyze a software framework for generic Monte Carlo simulations implemented on multiple, distributed memory nodes consisting of a multi-core architecture with attached GPUs. This simulation framework is divided into two asynchronous parts: (a) a threaded, GPU-accelerated pseudo-random number generator (or producer), and (b) a multi-threaded Monte Carlo application (or consumer). The advantage of this approach is that this software framework can be directly used within any Monte Carlo application code, without requiring application-specific programming of the GPU. We examine this approach through a performance study of the simulation of RHT effects by the PMC method on a hybrid computing architecture. We present a theoretical analysis of our proposed approach, discuss methods to optimize performance based on this analysis, and compare this analysis to experimental results obtained from simulations run on two different hybrid, parallel computing architectures.
Ph. D.
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Holm, Marcus. "Scientific computing on hybrid architectures." Licentiate thesis, Uppsala universitet, Avdelningen för beräkningsvetenskap, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-200242.

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Modern computer architectures, with multicore CPUs and GPUs or other accelerators, make stronger demands than ever on writers of scientific code. As a rule of thumb, the fastest, most efficient program consists of labor-intensive code written by expert programmers for a certain application on a particular computer. This thesis deals with several algorithmic and technical approaches towards effectively satisfying the demand for high-performance parallel programming without incurring such a high cost in expert programmer time. Effective programming is accomplished by writing performance-portable code where performance-critical functionality is provided either by external software or at least a balance between maintainability/generality and efficiency.
UPMARC
eSSENCE
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Abraham, Ajith 1968. "Hybrid soft computing : architecture optimization and applications." Monash University, Gippsland School of Computing and Information Technology, 2002. http://arrow.monash.edu.au/hdl/1959.1/8676.

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

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Wei, Jian. "Hybrid mobile computing for connected autonomous vehicles." Thesis, Aston University, 2018. http://publications.aston.ac.uk/37533/.

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With increasing urbanization and the number of cars on road, there are many global issues on modern transport systems. Autonomous driving and connected vehicles are the most promising technologies to tackle these issues. The so-called integrated technology connected autonomous vehicles (CAV) can provide a wide range of safety applications for safer, greener and more efficient intelligent transport systems (ITS). As computing is an extreme component for CAV systems, various mobile computing models including mobile local computing, mobile edge computing and mobile cloud computing are proposed. However it is believed that none of these models fits all CAV applications, which have highly diverse quality of service (QoS) requirements such as communication delay, data rate, accuracy, reliability and/or computing latency. In this thesis, we are motivated to propose a hybrid mobile computing model with objective of overcoming limitations of individual models and maximizing the performances for CAV applications. In proposed hybrid mobile computing model three basic computing models and/or their combinations are chosen and applied to different CAV applications, which include mobile local computing, mobile edge computing and mobile cloud computing. Different computing models and their combinations are selected according to the QoS requirements of the CAV applications. Following the idea, we first investigate the job offloading and allocation of computing and communication resources at the local hosts and external computing centers with QoS aware and resource awareness. Distributed admission control and resource allocation algorithms are proposed including two baseline non-cooperative algorithms and a matching theory based cooperative algorithm. Experiment results demonstrate the feasibility of the hybrid mobile computing model and show large improvement on the service quality and capacity over existing individual computing models. The matching algorithm also largely outperforms the baseline non-cooperative algorithms. In addition, two specific use cases of the hybrid mobile computing for CAV applications are investigated: object detection with mobile local computing where only local computing resources are used, and movie recommendation with mobile cloud computing where remote cloud resources are used. For object detection, we focus on the challenges of detecting vehicles, pedestrians and cyclists in driving environment and propose three methods to an existing CNN based object detector. Large detection performance improvement is obtained over the KITTI benchmark test dataset. For movie recommendation we propose two recommendation models based on a general framework of integrating machine learning and collaborative filtering approach. The experiment results on Netflix movie dataset show that our models are very effective for cold start items recommendation.
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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 applications on high performance elastic platforms is not a trivial task. In this doctoral thesis, Elastic Cloud Computing Cluster (EC3) has been developed. EC3 is an open-source tool able to execute high performance scientific applications by creating self-managed cost-efficient virtual hybrid elastic clusters on top of IaaS Clouds. These self-managed clusters have the capability to adapt the size of the cluster, i.e. the number of nodes, to the workload, thus creating the illusion of a real cluster without requiring an investment beyond the actual usage. They can be fully customized and migrated from one provider to another, in an automatically and transparent process for the users and jobs running in the cluster. EC3 can also deploy hybrid clusters across on-premises and public Cloud resources, where on-premises resources are supplemented with public Cloud resources to accelerate the execution process. Different instance types and the use of spot instances combined with on-demand resources are also cluster configurations supported by EC3. Moreover, using spot instances, together with checkpointing techniques, the tool can significantly reduce the total cost of executions while introducing automatic fault tolerance. EC3 is conceived to facilitate the use of virtual clusters to users, that might not have an extensive knowledge about these technologies, but they can benefit from them. Thus, the tool offers two different interfaces for its users, a web interface where EC3 is exposed as a service for non-experienced users and a powerful command line interface. Moreover, this thesis explores the field of light-weight virtualization using containers as an alternative to the traditional virtualization solution based on virtual machines. This study analyzes the suitable scenario for the use of containers and proposes an architecture for the deployment of elastic virtual clusters based on this technology. Finally, to demonstrate the functionality and advantages of the tools developed during this thesis, this document includes several use cases covering different scenarios and fields of knowledge, such as structural analysis of buildings, astrophysics or biodiversity.
Las aplicaciones científicas generalmente precisan grandes requisitos de cómputo, memoria y gestión de datos para su ejecución. Este tipo de aplicaciones tradicionalmente ha empleado recursos de altas prestaciones, como supercomputadores de memoria compartida, clústers de PCs de memoria distribuida, o recursos provenientes de infraestructuras Grid, sobre los que se adaptaba la aplicación para que se ejecutara satisfactoriamente. El auge que han tenido las técnicas de virtualización en los últimos años, propiciando la aparición de la computación en la nube (Cloud Computing), ha provocado un importante cambio en la forma de ejecutar este tipo de aplicaciones. Sin embargo, la gestión de la ejecución de aplicaciones científicas sobre plataformas de computación elásticas de altas prestaciones no es una tarea trivial. En esta tesis doctoral se ha desarrollado Elastic Cloud Computing Cluster (EC3), una herramienta de código abierto capaz de llevar a cabo la ejecución de aplicaciones científicas de altas prestaciones creando para ello clústers virtuales, híbridos y elásticos, autogestionados y eficientes en cuanto a costes, sobre plataformas Cloud de tipo Infraestructura como Servicio (IaaS). Estos clústers autogestionados tienen la capacidad de adaptar su tamaño, es decir, el número de nodos, a la carga de trabajo, creando así la ilusión de un clúster real sin requerir una inversión por encima del uso actual. Además, son completamente configurables y pueden ser migrados de un proveedor a otro de manera automática y transparente a los usuarios y trabajos en ejecución en el cluster. EC3 también permite desplegar clústers híbridos sobre recursos Cloud públicos y privados, donde los recursos privados son complementados con recursos Cloud públicos para acelerar el proceso de ejecución. Otras configuraciones híbridas, como el empleo de diferentes tipos de instancias y el uso de instancias puntuales combinado con instancias bajo demanda son también soportadas por EC3. Además, el uso de instancias puntuales junto con técnicas de checkpointing permite a EC3 reducir significantemente el coste total de las ejecuciones a la vez que proporciona tolerancia a fallos. EC3 está concebido para facilitar el uso de clústers virtuales a los usuarios, que, aunque no tengan un conocimiento extenso sobre este tipo de tecnologías, pueden beneficiarse fácilmente de ellas. Por ello, la herramienta ofrece dos interfaces diferentes a sus usuarios, una interfaz web donde se expone EC3 como servicio para usuarios no experimentados y una potente interfaz de línea de comandos. Además, esta tesis doctoral se adentra en el campo de la virtualización ligera, mediante el uso de contenedores como alternativa a la solución tradicional de virtualización basada en máquinas virtuales. Este estudio analiza el escenario propicio para el uso de contenedores y propone una arquitectura para el despliegue de clusters virtuales elásticos basados en esta tecnología. Finalmente, para demostrar la funcionalidad y ventajas de las herramientas desarrolladas durante esta tesis, esta memoria recoge varios casos de uso que abarcan diferentes escenarios y campos de conocimiento, como estudios estructurales de edificios, astrofísica o biodiversidad.
Les aplicacions científiques generalment precisen grans requisits de còmput, de memòria i de gestió de dades per a la seua execució. Este tipus d'aplicacions tradicionalment hi ha empleat recursos d'altes prestacions, com supercomputadors de memòria compartida, clústers de PCs de memòria distribuïda, o recursos provinents d'infraestructures Grid, sobre els quals s'adaptava l'aplicació perquè s'executara satisfactòriament. L'auge que han tingut les tècniques de virtualitzaciò en els últims anys, propiciant l'aparició de la computació en el núvol (Cloud Computing), ha provocat un important canvi en la forma d'executar este tipus d'aplicacions. No obstant això, la gestió de l'execució d'aplicacions científiques sobre plataformes de computació elàstiques d'altes prestacions no és una tasca trivial. En esta tesi doctoral s'ha desenvolupat Elastic Cloud Computing Cluster (EC3), una ferramenta de codi lliure capaç de dur a terme l'execució d'aplicacions científiques d'altes prestacions creant per a això clústers virtuals, híbrids i elàstics, autogestionats i eficients quant a costos, sobre plataformes Cloud de tipus Infraestructura com a Servici (IaaS). Estos clústers autogestionats tenen la capacitat d'adaptar la seua grandària, es dir, el nombre de nodes, a la càrrega de treball, creant així la il·lusió d'un cluster real sense requerir una inversió per damunt de l'ús actual. A més, són completament configurables i poden ser migrats d'un proveïdor a un altre de forma automàtica i transparent als usuaris i treballs en execució en el cluster. EC3 també permet desplegar clústers híbrids sobre recursos Cloud públics i privats, on els recursos privats són complementats amb recursos Cloud públics per a accelerar el procés d'execució. Altres configuracions híbrides, com l'us de diferents tipus d'instàncies i l'ús d'instàncies puntuals combinat amb instàncies baix demanda són també suportades per EC3. A més, l'ús d'instàncies puntuals junt amb tècniques de checkpointing permet a EC3 reduir significantment el cost total de les execucions al mateix temps que proporciona tolerància a fallades. EC3e stà concebut per a facilitar l'ús de clústers virtuals als usuaris, que, encara que no tinguen un coneixement extensiu sobre este tipus de tecnologies, poden beneficiar-se fàcilment d'elles. Per això, la ferramenta oferix dos interfícies diferents dels seus usuaris, una interfície web on s'exposa EC3 com a servici per a usuaris no experimentats i una potent interfície de línia d'ordres. A més, esta tesi doctoral s'endinsa en el camp de la virtualitzaciò lleugera, per mitjà de l'ús de contenidors com a alternativa a la solució tradicional de virtualitzaciò basada en màquines virtuals. Este estudi analitza l'escenari propici per a l'ús de contenidors i proposa una arquitectura per al desplegament de clusters virtuals elàstics basats en esta tecnologia. Finalment, per a demostrar la funcionalitat i avantatges de les ferramentes desenrotllades durant esta tesi, esta memòria arreplega diversos casos d'ús que comprenen diferents escenaris i camps de coneixement, com a estudis estructurals d'edificis, astrofísica o biodiversitat.
Calatrava Arroyo, A. (2016). High Performance Scientific Computing over Hybrid Cloud Platforms [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/75265
TESIS
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Lukášová, Pavlína. "Cloud Computing jako nástroj BCM." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-75556.

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This thesis deals with possible interconnections between two concepts playing a big role in contemporary business and IT world. These concepts are Business Continuity Management and Cloud Computing. In the scope of this thesis there are certain areas identified where both concepts are complement, where Cloud Computing brings new opportunities for Business Continuity Management and where could possible problems arise during particular implementation. From the BCM perspective the impact lies on IT services, from the Cloud Computing perspective the thesis deals especially with security aspects. The thesis is also aimed at the characteristics of higher education and basic differences from commercial sphere. Based on defined differences and identified interconnections between BCM and Cloud Computing, the thesis argues for usage of suitable Cloud Computing solution for higher education regarding Business Continuity improvement. The multi-criterion comparison of several Infrastructure-as-a-Service solutions stems from this analysis focusing on technical, financial, and Business Continuity aspects. The result from this comparison together with conclusions from previous chapters serve as an input for subsequent practical proposal of Cloud Computing solution and its verification against Business Continuity improvement in specific conditions on University of Economics in Prague. The proposal is also represented by strategic map.
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Luo, Hao, and 罗浩. "Hybrid flowshop scheduling with job interdependences using evolutionary computing approaches." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2012. http://hub.hku.hk/bib/B47849551.

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This research deals with production scheduling of manufacturing systems that predominantly consist of hybrid flowshops. Hybrid Flowshop Scheduling (HFS) problems are common in metal working industries. Their solution has significant inferences on company performance in a globally competitive market in terms of production cycle time, delivery dates, warehouse and work-in-process inventory management. HFS problems have attracted considerable research efforts on examining their scientific complexity and practical solution algorithms. In conventional HFS systems, an individual job goes through the flowshop with its own processing route, which has no influence on other jobs. However, in many metal working HFS systems, jobs have interdependent relationships during the process. This thesis focuses on addressing two classes of HFS problems with job interdependence that have been motivated by real-life industrial problems observed from our collaborating companies. The first class of HFS problems with job interdependence are faced by manufacturers of typically standard metal components where jobs are organized in families according to their machine settings and tools. Family setup times arise when a machine shifts from processing one job family to another. This problem is compounded by the challenges that the formation of job families is different in different stages and only a limited number of jobs can be processed within one setup. This class of problems is defined as HFS with family setup and inconsistent family formation. The second class of HFS problems with job interdependence is typically faced in a production process consisting of divergent operations where a single input item is converted into multiple output items. Two important challenges have been investigated. One is that one product can be produced following different process routes. The other is that the total inventory capacity is very limited in the company in the sense that the inventory spaces are commonly shared by raw materials, work-in-process items and finished products. This class of problems is defined as HFS with divergent production and common inventory. The aim is to analyze the general characteristics of HFS with job interdependence and develop effective and practical methodologies that can tackle real-world constraints and reduce the scheduling effort in daily production. This research has made the following contributions: (1) A V-A-X structural classification has been proposed to represent the divergent (V), convergent (A) and mixed (X) job interdependent relations during the production. (2) A genetic algorithm based approach and a particle swarm optimization based approach have been developed to solve two classes of HFS problems with job interdependence, respectively. The computational results based on actual production data have shown that the proposed solutions are robust, efficient and advantageous for solving the practical problems. (3) A waiting factor approach and delay timetable approach have been developed to extend the solutions space of two classes of HFS problems by inserting intentional idle times into original schedules. The computational results have indicated that better schedules can be obtained in the extended solution spaces.
published_or_final_version
Industrial and Manufacturing Systems Engineering
Doctoral
Doctor of Philosophy
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Roy, Kuntal. "Hybrid spintronics and straintronics: An ultra-low-energy computing paradigm." VCU Scholars Compass, 2012. http://scholarscompass.vcu.edu/etd/381.

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The primary obstacle to continued downscaling of charge-based electronic devices in accordance with Moore's law is the excessive energy dissipation that takes place in the device during switching of bits. Unlike charge-based devices, spin-based devices are switched by flipping spins without moving charge in space. Although some energy is still dissipated in flipping spins, it can be considerably less than the energy associated with current flow in charge-based devices. Unfortunately, this advantage will be squandered if the method adopted to switch the spin is so energy-inefficient that the energy dissipated in the switching circuit far exceeds the energy dissipated inside the system. Regrettably, this is often the case, e.g., switching spins with a magnetic field or with spin-transfer-torque mechanism. In this dissertation, it is shown theoretically that the magnetization of two-phase multiferroic single-domain nanomagnets can be switched very energy-efficiently, more so than any device currently extant, leading possibly to new magnetic logic and memory systems which might be an important contributor to Beyond-Moore's-Law technology. A multiferroic composite structure consists of a layer of piezoelectric material in intimate contact with a magnetostrictive layer. When a tiny voltage of few millivolts is applied across the structure, it generates strain in the piezoelectric layer and the strain is transferred to the magnetostrictive nanomagnet. This strain generates magnetostrictive anisotropy in the nanomagnet and thus rotates its direction of magnetization, resulting in magnetization reversal or 'bit-flip'. It is shown after detailed analysis that full 180 degree switching of magnetization can occur in the "symmetric" potential landscape of the magnetostrictive nanomagnet, even in the presence of room-temperature thermal fluctuations, which differs from the general perception on binary switching. With proper choice of materials, the energy dissipated in the bit-flip can be made as low as one attoJoule at room-temperature. Also, sub-nanosecond switching delay can be achieved so that the device is adequately fast for general-purpose computing. The above idea, explored in this dissertation, has the potential to produce an extremely low-power, yet high-density and high-speed, non-volatile magnetic logic and memory system. Such processors would be well suited for embedded applications, e.g., implantable medical devices that could run on energy harvested from the patient's body motion.
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Books on the topic "Hybrid Computing"

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Bhattacharyya, Siddhartha, Paramartha Dutta, and Susanta Chakraborty, eds. Hybrid Soft Computing Approaches. New Delhi: Springer India, 2016. http://dx.doi.org/10.1007/978-81-322-2544-7.

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Shukla, Anupam, Ritu Tiwari, and Rahul Kala. Towards Hybrid and Adaptive Computing. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14344-1.

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Bhattacharyya, Siddhartha, Paramartha Dutta, Sourav De, and Goran Klepac, eds. Hybrid Soft Computing for Image Segmentation. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47223-2.

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Castillo, Oscar, Patricia Melin, Janusz Kacprzyk, and Witold Pedrycz, eds. Soft Computing for Hybrid Intelligent Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-70812-4.

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Oscar, Castillo, Melin Patricia 1962-, Pedrycz Witold 1953-, and SpringerLink (Online service), eds. Soft Computing for Hybrid Intelligent Systems. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2008.

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Shukla, Anupam. Towards hybrid and adaptive computing: A perspective. Berlin: Springer, 2010.

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Akram, Muhammad, and Fariha Zafar. Hybrid Soft Computing Models Applied to Graph Theory. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-16020-3.

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De, Sourav, Siddhartha Bhattacharyya, Susanta Chakraborty, and Paramartha Dutta. Hybrid Soft Computing for Multilevel Image and Data Segmentation. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47524-0.

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Melin, Patricia, and Oscar Castillo. Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/b97585.

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Sarma, Mousmita, and Kandarpa Kumar Sarma. Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework. New Delhi: Springer India, 2014. http://dx.doi.org/10.1007/978-81-322-1862-3.

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Book chapters on the topic "Hybrid Computing"

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Lloyd, Seth. "Hybrid Quantum Computing." In Quantum Information with Continuous Variables, 37–45. Dordrecht: Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-015-1258-9_5.

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Ovaska, Seppo J. "Introduction to Fusion of Soft Computing and Hard Computing." In Computationally Intelligent Hybrid Systems, 5–30. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9780471683407.ch1.

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Shapiro, Arnold F. "Insurance Applications of Soft Computing Technologies." In Hybrid Information Systems, 695–710. Heidelberg: Physica-Verlag HD, 2002. http://dx.doi.org/10.1007/978-3-7908-1782-9_50.

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Fong, Joseph, Kenneth Ting Yan Wong, and Tracy Wu. "PTA System: Mobile Computing Student Assessment by Parent and Teacher Association." In Hybrid Learning, 210–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32018-7_20.

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Uchino, Eiji, and Takeshi Yamakawa. "Soft Computing Based Signal Prediction, Restoration, and Filtering." In Intelligent Hybrid Systems, 331–51. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6191-0_14.

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Basterrech, Sebastián, Gerardo Rubino, and Václav Snášel. "Experimental Analysis of a Hybrid Reservoir Computing Technique." In Hybrid Intelligent Systems, 237–47. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-27221-4_20.

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Amamou, Sonia, Zied Trifa, and Maher Khmakhem. "Towards a Better Security in Public Cloud Computing." In Hybrid Intelligent Systems, 441–53. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49336-3_43.

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Shah, Yatish T. "Hybrid Energy Systems for Computing and Electronic Industries." In Hybrid Energy Systems, 379–437. First edition. | Boca Raton, FL : CRC Press, 2021. |: CRC Press, 2021. http://dx.doi.org/10.1201/9781003159421-9.

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Gmeiner, Björn, and Ulrich Rüde. "Peta-Scale Hierarchical Hybrid Multigrid Using Hybrid Parallelization." In Large-Scale Scientific Computing, 439–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-43880-0_50.

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Han, Li-Xin, Gui-Hai Chen, and Li Xie. "TSS: A Hybrid Web Searches." In Content Computing, 410–15. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30483-8_50.

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Conference papers on the topic "Hybrid Computing"

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Neff, John A. "Optics And Symbolic Computing." In Optical and Hybrid Computing, edited by Harold H. Szu. SPIE, 1986. http://dx.doi.org/10.1117/12.963999.

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VanderLugt, A. "Fresnel Transforms And Optical Computing." In Optical and Hybrid Computing, edited by Harold H. Szu. SPIE, 1986. http://dx.doi.org/10.1117/12.964001.

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Gibbs, H. M., and N. Peyghambarian. "Nonlinear Etalons And Optical Computing." In Optical and Hybrid Computing, edited by Harold H. Szu. SPIE, 1986. http://dx.doi.org/10.1117/12.964010.

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Szu, Harold. "Computed Tomography For Optical Computing." In Optical and Hybrid Computing, edited by Harold H. Szu. SPIE, 1986. http://dx.doi.org/10.1117/12.964032.

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Gustafson, Steven C., Steven L. Cartwright, David L. Flannery, Gordon R. Little, John S. Loomis, and L. Maugh Vail. "Thresholding And Weighting In Optical Computing." In Optical and Hybrid Computing, edited by Harold H. Szu. SPIE, 1986. http://dx.doi.org/10.1117/12.964013.

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Szu, Harold. "Holographic Coordinate Transformations And Optical Computing." In Optical and Hybrid Computing, edited by Harold H. Szu. SPIE, 1986. http://dx.doi.org/10.1117/12.964033.

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Ionson, James. "Computing Challenges And The Principles Of Innovations." In Optical and Hybrid Computing, edited by Harold H. Szu. SPIE, 1986. http://dx.doi.org/10.1117/12.963997.

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Ishihara, Satoshi. "Recent Advances In Optical Computing In Japan." In Optical and Hybrid Computing, edited by Harold H. Szu. SPIE, 1986. http://dx.doi.org/10.1117/12.964000.

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Szu, Harold. "Iterative Restoration Algorithms For Nonlinear Constraint Computing." In Optical and Hybrid Computing, edited by Harold H. Szu. SPIE, 1986. http://dx.doi.org/10.1117/12.964007.

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Carter, Forrest L. "Molecular Computing And The Chemical Elements Of Logic." In Optical and Hybrid Computing, edited by Harold H. Szu. SPIE, 1986. http://dx.doi.org/10.1117/12.964014.

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Reports on the topic "Hybrid Computing"

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Platzer, Andre, and Edmund M. Clarke. Computing Differential Invariants of Hybrid Systems as Fixedpoints. Fort Belvoir, VA: Defense Technical Information Center, February 2008. http://dx.doi.org/10.21236/ada476791.

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Vouras, Peter G., and Gerard G. L. Meyer. Hybrid QR Factorization Algorithm for High Performance Computing Architectures. Fort Belvoir, VA: Defense Technical Information Center, May 2003. http://dx.doi.org/10.21236/ada419390.

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Hesthaven, Jan S. DURIP10: Hybrid Computing Facilities Enabling Novel Developments for Stochastic Simulations and Research-related Education. Fort Belvoir, VA: Defense Technical Information Center, December 2011. http://dx.doi.org/10.21236/ada566285.

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Wu, Qing, and Qinru Qiu. On Large-Scale Hybrid Computing Architecture for Neocortical Models - With an Application in Realizing Cognizance Operations of the Visual Cortex. Fort Belvoir, VA: Defense Technical Information Center, November 2008. http://dx.doi.org/10.21236/ada491532.

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Thiem, Clare, Sunil Bhat, and Thomas Blount. Establishing Tools for Computing Hybrids. Fort Belvoir, VA: Defense Technical Information Center, October 2006. http://dx.doi.org/10.21236/ada458367.

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Thiem, Clare D., Morgan A. Bishop, Joseph M. Hertline, Andrew Gorczyca, Andrew Flack, Sean A. Cain, and Maximillion T. McMahon. Simulation Concept - How to Exploit Tools for Computing Hybrids. Fort Belvoir, VA: Defense Technical Information Center, June 2010. http://dx.doi.org/10.21236/ada524234.

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