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Relevant bibliographies by topics / Photonic network design

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Academic literature on the topic 'Photonic network design'

Author: Grafiati

Published: 4 June 2021

Last updated: 12 February 2022

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Journal articles on the topic "Photonic network design"

1

Christensen, Thomas, Charlotte Loh, Stjepan Picek, et al. "Predictive and generative machine learning models for photonic crystals." Nanophotonics 9, no. 13 (2020): 4183–92. http://dx.doi.org/10.1515/nanoph-2020-0197.

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AbstractThe prediction and design of photonic features have traditionally been guided by theory-driven computational methods, spanning a wide range of direct solvers and optimization techniques. Motivated by enormous advances in the field of machine learning, there has recently been a growing interest in developing complementary data-driven methods for photonics. Here, we demonstrate several predictive and generative data-driven approaches for the characterization and inverse design of photonic crystals. Concretely, we built a data set of 20,000 two-dimensional photonic crystal unit cells and their associated band structures, enabling the training of supervised learning models. Using these data set, we demonstrate a high-accuracy convolutional neural network for band structure prediction, with orders-of-magnitude speedup compared to conventional theory-driven solvers. Separately, we demonstrate an approach to high-throughput inverse design of photonic crystals via generative adversarial networks, with the design goal of substantial transverse-magnetic band gaps. Our work highlights photonic crystals as a natural application domain and test bed for the development of data-driven tools in photonics and the natural sciences.

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Ferreira de Lima, Thomas, Bhavin J. Shastri, Alexander N. Tait, Mitchell A. Nahmias, and Paul R. Prucnal. "Progress in neuromorphic photonics." Nanophotonics 6, no. 3 (2017): 577–99. http://dx.doi.org/10.1515/nanoph-2016-0139.

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AbstractAs society’s appetite for information continues to grow, so does our need to process this information with increasing speed and versatility. Many believe that the one-size-fits-all solution of digital electronics is becoming a limiting factor in certain areas such as data links, cognitive radio, and ultrafast control. Analog photonic devices have found relatively simple signal processing niches where electronics can no longer provide sufficient speed and reconfigurability. Recently, the landscape for commercially manufacturable photonic chips has been changing rapidly and now promises to achieve economies of scale previously enjoyed solely by microelectronics. By bridging the mathematical prowess of artificial neural networks to the underlying physics of optoelectronic devices, neuromorphic photonics could breach new domains of information processing demanding significant complexity, low cost, and unmatched speed. In this article, we review the progress in neuromorphic photonics, focusing on photonic integrated devices. The challenges and design rules for optoelectronic instantiation of artificial neurons are presented. The proposed photonic architecture revolves around the processing network node composed of two parts: a nonlinear element and a network interface. We then survey excitable lasers in the recent literature as candidates for the nonlinear node and microring-resonator weight banks as the network interface. Finally, we compare metrics between neuromorphic electronics and neuromorphic photonics and discuss potential applications.

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Jiang, Jiaqi, and Jonathan A. Fan. "Multiobjective and categorical global optimization of photonic structures based on ResNet generative neural networks." Nanophotonics 10, no. 1 (2020): 361–69. http://dx.doi.org/10.1515/nanoph-2020-0407.

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AbstractWe show that deep generative neural networks, based on global optimization networks (GLOnets), can be configured to perform the multiobjective and categorical global optimization of photonic devices. A residual network scheme enables GLOnets to evolve from a deep architecture, which is required to properly search the full design space early in the optimization process, to a shallow network that generates a narrow distribution of globally optimal devices. As a proof-of-concept demonstration, we adapt our method to design thin-film stacks consisting of multiple material types. Benchmarks with known globally optimized antireflection structures indicate that GLOnets can find the global optimum with orders of magnitude faster speeds compared to conventional algorithms. We also demonstrate the utility of our method in complex design tasks with its application to incandescent light filters. These results indicate that advanced concepts in deep learning can push the capabilities of inverse design algorithms for photonics.

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Kaneda, S., T. Uyematsu, N. Nagatsu, and K. Sato. "Network design and cost optimization for label switched multilayer photonic IP networks." IEEE Journal on Selected Areas in Communications 23, no. 8 (2005): 1612–19. http://dx.doi.org/10.1109/jsac.2005.851747.

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Dang, Dharanidhar, Sai Vineel Reddy Chittamuru, Sudeep Pasricha, Rabi Mahapatra, and Debashis Sahoo. "BPLight-CNN: A Photonics-Based Backpropagation Accelerator for Deep Learning." ACM Journal on Emerging Technologies in Computing Systems 17, no. 4 (2021): 1–26. http://dx.doi.org/10.1145/3446212.

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Training deep learning networks involves continuous weight updates across the various layers of the deep network while using a backpropagation (BP) algorithm. This results in expensive computation overheads during training. Consequently, most deep learning accelerators today employ pretrained weights and focus only on improving the design of the inference phase. The recent trend is to build a complete deep learning accelerator by incorporating the training module. Such efforts require an ultra-fast chip architecture for executing the BP algorithm. In this article, we propose a novel photonics-based backpropagation accelerator for high-performance deep learning training. We present the design for a convolutional neural network (CNN), BPLight-CNN , which incorporates the silicon photonics-based backpropagation accelerator. BPLight-CNN is a first-of-its-kind photonic and memristor-based CNN architecture for end-to-end training and prediction. We evaluate BPLight-CNN using a photonic CAD framework (IPKISS) on deep learning benchmark models, including LeNet and VGG-Net. The proposed design achieves (i) at least 34× speedup, 34× improvement in computational efficiency, and 38.5× energy savings during training; and (ii) 29× speedup, 31× improvement in computational efficiency, and 38.7× improvement in energy savings during inference compared with the state-of-the-art designs. All of these comparisons are done at a 16-bit resolution, and BPLight-CNN achieves these improvements at a cost of approximately 6% lower accuracy compared with the state-of-the-art.

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Tripathi, Devendra Kr. "Design and Investigations with all Optical Multilogic Network." Journal of Optical Communications 40, no. 3 (2019): 213–23. http://dx.doi.org/10.1515/joc-2017-0046.

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Abstract This article presents investigation for all optical multilogic function in the proposed single photonic network. Logic operations the AND, OR, NOR, XNOR, NOT, Buffer, $\bar AB$, $A\bar B$ have been executed simultaneously at higher data rate for nonreturn-to-zero pattern on the different C-band wavelengths. Numerous logic functions have been accomplished by the optical multiplexer, couplers exploiting SOA nonlinearities, which are else contemplated as cons, if SOA is exercised as an amplifying device. Numerical simulation for parameters as bias voltage of the modulator, nonreturn-to-zero, return-to-zero, Mach-Zehnder type modulation formats, data rate and numerous drives as on-off-ramp, raised cosine, on-off-exp, on-off in conjunction with key design features length, width, thickness of SOA have been aptly explored in terms of the extinction factor. Investigations depicted good performance for the nonreturn-to-zero format. Accordingly, output patterns for the multilogic executions have been verified at 10 Gbps data rate with nonreturn-to-zero pattern. The proposed schematic could be one of the feasible means for the design of upcoming composite photonic computation higher data rate links, as it excludes need for most expensive optoelectronic translations.

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Tan, Xianfang, Mei Yang, Lei Zhang, Yingtao Jiang, and Jianyi Yang. "A Generic Optical Router Design for Photonic Network-on-Chips." Journal of Lightwave Technology 30, no. 3 (2012): 368–76. http://dx.doi.org/10.1109/jlt.2011.2178019.

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Shinomiya, Norihiko, Takeshi Hoshida, Yuichi Akiyama, Hisao Nakashima, and Takafumi Terahara. "Hybrid Link/Path-Based Design for Translucent Photonic Network Dimensioning." Journal of Lightwave Technology 25, no. 10 (2007): 2931–41. http://dx.doi.org/10.1109/jlt.2007.905224.

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Zhang, Tian, Jia Wang, Yihang Dan, et al. "Efficient training and design of photonic neural network through neuroevolution." Optics Express 27, no. 26 (2019): 37150. http://dx.doi.org/10.1364/oe.27.037150.

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Nagatsu, N. "Photonic network design issues and applications to the IP backbone." Journal of Lightwave Technology 18, no. 12 (2000): 2010–18. http://dx.doi.org/10.1109/50.908814.

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Dissertations / Theses on the topic "Photonic network design"

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SATO, Ken-ichi. "Recent Developments in and Challenges of Photonic Networking Technologies." Institute of Electronics, Information and Communication Engineers, 2007. http://hdl.handle.net/2237/14980.

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Seigneur, Hubert P. "Modeling and design of a photonic crystal chip hosting a quantum network made of single spins in quantum dots that interact via single photons." Doctoral diss., University of Central Florida, 2010. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4614.

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In this dissertation, the prospect of a quantum technology based on a photonic crystal chip hosting a quantum network made of quantum dot spins interacting via single photons is investigated. The mathematical procedure to deal with the Liouville-Von Neumann equation, which describes the time-evolution of the density matrix, was derived for an arbitrary system, giving general equations. Using this theoretical groundwork, a numerical model was then developed to study the spatiotemporal dynamics of entanglement between various qubits produced in a controlled way over the entire quantum network. As a result, an efficient quantum interface was engineered allowing for storage qubits and traveling qubits to exchange information coherently while demonstrating little error and loss in the process; such interface is indispensable for the realization of a functional quantum network. Furthermore, a carefully orchestrated dynamic control over the propagation of the flying qubit showed high-efficiency capability for on-chip single-photon transfer. Using the optimized dispersion properties obtained quantum mechanically as design parameters, a possible physical structure for the photonic crystal chip was constructed using the Plane Wave Expansion and Finite-Difference Time-Domain numerical techniques, exhibiting almost identical transfer efficiencies in terms of normalized energy densities of the classical electromagnetic field. These promising results bring us one step closer to the physical realization of an integrated quantum technology combining both semiconductor quantum dots and sub-wavelength photonic structures.<br>ID: 029049734; System requirements: World Wide Web browser and PDF reader.; Mode of access: World Wide Web.; Thesis (Ph.D.)--University of Central Florida, 2010.; Includes bibliographical references (p. 247-254).<br>Ph.D.<br>Doctorate<br>Optics and Photonics

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Kanie, Koichi, Hiroshi Hasegawa, and Ken-ichi Sato. "Quasi-Dynamic Network Design Considering Different Service Holding Times." IEEE, 2008. http://hdl.handle.net/2237/12077.

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Schrenk, Bernhard. "Characterization and design of multifunction photonic devices for next-generation fiber-to-the-home optical network units." Doctoral thesis, Universitat Politècnica de Catalunya, 2011. http://hdl.handle.net/10803/22676.

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El estudio e investigación en el campo de las redes ópticas de acceso han sido fomentadas en años recientes debido a la continua migración de Servicios multimedia que son ofrecidos a través de Internet. Aunque los dispositivos utilizados para implementar Fiber-to-the-Home (fibra a casa), que reemplazan las soluciones tradicionales basadas en cable de cobre, están basadas aún en micro-óptica, se puede prever una evolución hacia integración fotónica. Todavía queda la pregunta acerca de los diseños necesarios para este paso importante de integración, que debe ser optimizado en términos del desempeño de transmisión, eficiencia energética y costo con el fin de lograr todos los requerimientos de las redes fotónicas de siguiente generación. Como elemento más crítico en las redes de acceso ópticas es el equipo en los clientes, este trabajo se centra en éste. Los temes cubiertos abarcan una gama amplia e incluyen: el reciclado de longitudes de onda para transmisión de datos en full-dúplex a través de una sola frecuencia óptica; la generación de formatos de modulación avanzados con moduladores semiconductores de bajo costo y factor pequeño de integración; soporte de amplificación óptica a través de técnicas de sembrado y el soporte de funcionalidades de capes superiores en la capa física. Después de la prueba principal de las técnicas propuestas, se resaltan los beneficios, impedimentos y caminos de reemplazo hacia sistemas fotónicos multifuncionales a través de casos de estudio. Por su parte, los diseños más representativos se profundizan más sobre todo por su posibilidad de ser integrados fotónicamente.<br>Optical access technology has experienced a boost in the last years, thanks to the continuously migrating multimedia services that are offered over the internet. Though the devices used for deploying Fiber-to-the-Home instead of traditional copper-based solutions are still based on micro-optics, an evolution towards photonic integration can be foreseen. What remains is the question about the exact designs for this important step of integration, which should be optimized in terms of transmission performance, energy efficiency and cost to address all requirements of next-generation photonic networks. As the most critical element in optical access, the customer premises equipment is in primary focus of this discussion. The covered topics span over a wide range and include wavelength recycling for full-duplex data transmission on a single optical frequency, the generation of advanced modulation formats with low-cost semiconductor modulators with small form factor, support for optical amplification by means of seeding techniques and the support of higher layer functionality at the physical layer. Next to the principal proof of the proposed techniques, the benefits, impediments and upgrade paths towards multifunctional photonic systems are highlighted in different case studies, while the most representative designs are further discussed in their capability of being photonically integrated.

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Bignell, Allan M. "Photonic bus and photonic mesh networks, design techniques in extremely high speed networks." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape11/PQDD_0001/NQ42834.pdf.

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Bignell, Allan M. "Photonic bus and photonic mesh networks : design techniques in extremely high speed networks /." *McMaster only, 1997.

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Zhao, Ning 1977. "Topological design and dimensioning of Agile All Photonic Networks." Thesis, McGill University, 2005. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=83945.

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In this thesis, we present the identification of methods and tools for the design and analysis of an Agile All-Photonic Network (AAPN).<br>This thesis discusses the layered topology which comprises of a set of overlaid star/tree networks, with an optical core space switch at each of the star centers and hybrid photonic/electronic switches at the edges, and optionally, with Multiplexer/Selectors in between to concentrate traffic. Consequently, network cost is minimized while taking into consideration performance criteria such as delay and reliable traffic restoration upon network failure. A new mixed integer linear programming formulation is presented for core node placement and link connectivity to determine the near cost optimal designs. Both a Metropolitan Area Network (MAN) and a Canadian Wide Area Network (WAN) with two-layer or three-layer network topological implementations have been tested. Network models and their performance were evaluated with a set of software tools and methodologies to design and dimension our vision of an AAPN.

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Hamwi, Khawla. "Low Power Design Methodology and Photonics Networks on Chip for Multiprocessor System on Chip." Thesis, Brest, 2013. http://www.theses.fr/2013BRES0029.

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Les systèmes multiprocesseurs sur puce (MPSoC)s sont fortement émergent comme principaux composants dans les systèmes embarqués à hautes performances. La principale complexité dans la conception et l’implémentation des MPSoC est la communication entre les cœurs. Les réseaux sur puce (NoC) sont considérés comme la solution pour cet effet. ITRS prédit que des centaines de cœurs seront utilisées dans la génération future de système sur puce (SoC), ce qui va donc augmenter les coûts de l’évolutivité, de bande passante et de l’implémentation des réseaux sur puce (NoC)s. Ces problèmes sont présents dans diverses tendances technologiques dans le domaine des semiconducteurs et de la photonique. Cette thèse préconise l'utilisation de la synthèse NoC comme l'approche la plus appropriée pour exploiter ces tendances technologiques et rattraper les exigences des applications. A partir de plusieurs méthodologies de conception basées sur la technologie FPGA et des techniques d'estimation basse énergie (HLS) pour plusieurs IPs, nous proposons une implémentation ASIC basée sur la technologie 3D Tezzaron. Multi-FPGA technologie est utilisée pour valider la conception MPSoC avec 64 processeurs Butterfly NoC. La synthèse NoC est basée sur le regroupement de maîtres et d’esclaves générant des architectures asymétriques avec un soutien approprié pour les demandes très haut débit par optique NoC (ONoC), tandis que les demandes de bande passante inférieure sont traitées par électronique NoC. Une programmation linéaire est proposée comme une solution pour la synthèse NoC<br>Multiprocessor systems on chip (MPSoC)s are strongly emerging as main components in high performance embedded systems. Several challenges can be determined in MPSoC design like the challenge which comes from interconnect infrastructure. Network-on-Chip (NOC) with multiple constraints to be satisfied is a promising solution for these challenges. ITRS predicts that hundreds of cores will be used in future generation system on chip (SoC) and thus raises the issue of scalability, bandwidth and implementation costs for NoCs. These issues are raised within the various technological trends in semiconductors and photonics. This PhD thesis advocates the use of NoC synthesis as the most appropriate approach to exploit these technological trends catch up with the applications requirements. Starting with several design methodologies based on FPGA technology and low power estimation techniques (HLS) for several IPs, we propose an ASIC implementation based on 3D Tezzaron technology. Multi-FPGA technology is used to validate MPSoC design with up to 64 processors with Butterfly NoC. NoC synthesis is based on a clustering of masters and slaves generating asymmetric architectures with appropriate support for very high bandwidth requests through Optical NoC (ONoC) while lower bandwidth requests are processed by electronic NoC. A linear programming is proposed as a solution to the NoC synthesis

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Hammond, Alec Michael. "Machine Learning Methods for Nanophotonic Design, Simulation, and Operation." BYU ScholarsArchive, 2019. https://scholarsarchive.byu.edu/etd/7131.

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Interest in nanophotonics continues to grow as integrated optics provides an affordable platform for areas like telecommunications, quantum information processing, and biosensing. Designing and characterizing integrated photonics components and circuits, however, remains a major bottleneck. This is especially true when complex circuits or devices are required to study a particular phenomenon.To address this challenge, this work develops and experimentally validates a novel machine learning design framework for nanophotonic devices that is both practical and intuitive. As case studies, artificial neural networks are trained to model strip waveguides, integrated chirped Bragg gratings, and microring resonators using a small number of simple input and output parameters relevant to designers. Once trained, the models significantly decrease the computational cost relative to traditional design methodologies. To illustrate the power of the new design paradigm, both forward and inverse design tools enabled by the new design paradigm are demonstrated. These tools are directly used to design and fabricate several integrated Bragg grating devices and ring resonator filters. The method's predictions match the experimental measurements well and do not require any post-fabrication training adjustments.

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Valentino, Eric. "The Design of Passive Networks with Full-Wave Component Models." Scholar Commons, 2019. https://scholarcommons.usf.edu/etd/7979.

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In this thesis, the design of passive networks with the aid of full-wave simulation software and geometry-based models of lumped elements is investigated. This is done by examining the results of a number of simulation examples, as well as measured data from manufactured designs to compare against simulated equivalents. One such example is a chip antenna evaluation board design, in which the PCB, antenna, matching components and connector are all modeled. When measured, the simulation agreed with the board’s best matched frequency of 5.5 GHz to within 20 MHz. In another, a new antenna layout is generated from an existing evaluation design which, produced a match of about -15 dB at the design frequency with a similar bandwidth to that shown on the antenna datasheet on the first attempt at manufacture. Additionally, a statistical experiment was conducted in order to provide insight into the phenomenon of coupling between lumped components, and to define clearly when it starts to become an important effect to consider. For both chip capacitors and inductors, a behavioral model of how much crosstalk is present in a prospective circuit was developed which takes into account angle and distance between components, as well as case size. Finally, a simple discrete gradient descent was implemented in a commercial full-wave simulation software in order to assist in the refinement of designs containing 3-D geometry-defined component models.

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Books on the topic "Photonic network design"

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Bergman, Keren, Luca P. Carloni, Aleksandr Biberman, Johnnie Chan, and Gilbert Hendry. Photonic Network-on-Chip Design. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4419-9335-9.

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Yupapin, Preecha. Guided wave optics and photonics: Micro-ring resonator design for telephone network security. Nova Science Publishers, 2008.

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Cantoni, Virginio, Gabriele Falciasecca, and Giuseppe Pelosi, eds. Storia delle telecomunicazioni. Firenze University Press, 2011. http://dx.doi.org/10.36253/978-88-6453-245-5.

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Focusing on the history of scientific and technological development over recent centuries, the book is dedicated to the history of telecommunications, where Italy has always been in the vanguard, and is presented by many of the protagonists of the last half century. The book is divided into five sections. The first, dealing with the origins, starts from the scientific bases of the evolution of telecommunications in the nineteenth century (Bucci), addressing the developments of scientific thought that led to the revolution of the theory of fields (Morando), analysing the birth of the three fundamental forms of communication – telegraph (Maggi), telephone (Del Re) and radio (Falciasecca) – and ending with the contribution made by the Italian Navy to the development of telecommunications (Carulli, Pelosi, Selleri, Tiberio). The second section, on technical and scientific developments, presents the numerical processing of signals (Rocca), illustrating the genesis and metamorphosis of transmission (Pupolin, Benedetto, Mengali, Someda, Vannucchi), network packets (Marsan, Guadagni, Lenzini), photonics in telecommunications (Prati) and addresses the issue of research within the institutions (Fedi-Morello), dwelling in particular on the CSELT (Mossotto). The next section deals with the sectors of application, offering an overview of radio, television and the birth of digital cinema (Vannucchi, Visintin), military communications (Maestrini, Costamagna), the development of radar (Galati) and spatial telecommunications (Tartara, Marconicchio). Section four, on the organisation of the services and the role of industry, outlines the rise and fall of the telecommunications industries in Italy (Randi), dealing with the telecommunications infrastructures (Caroppo, Gamerro), the role of the providers in national communications (Gerarduzzi), the networks and the mobile and wireless services (Falciasecca, Ongaro) and finally taking a look towards the future from the perspective of the last fifty years (Vannucchi). The last section, dealing with training and dissemination, offers an array of food for thought: university training in telecommunications, with focus on the evolution of legislation and on the professional profiles (Roveri), social and cultural aspects (Longo and Crespellani) as well as a glance over the most important museums, collections and documentary sources for telecommunications in Italy (Lucci, Savini, Temporelli, Valotti). The book is designed to offer a compendium comprising different analytical approaches, and aims to foster an interest in technology in the new generations, in the hope of stimulating potentially innovative research.

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Bergman, Keren, Luca P. Carloni, Aleksandr Biberman, Johnnie Chan, and Gilbert Hendry. Photonic Network-on-Chip Design. Springer, 2016.

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Bergman, Keren, Luca P. Carloni, and Aleksandr Biberman. Photonic Network-on-Chip Design. Springer, 2013.

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Yu, Sunkyu, Xianji Piao, and Namkyoo Park. Top-Down Design of Disordered Photonic Structures: Multidisciplinary Approaches Inspired by Quantum and Network Concepts. Springer, 2019.

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Photonic Networkonchip Design. Springer, 2013.

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Programming the photon: Getting started with the internet of things. McGraw Hill Education, 2016.

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Book chapters on the topic "Photonic network design"

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Bachus, Ernst-Jürgen, Michael Eiselt, Kai Habel, Klaus-Dieter Langer, Ernst-Ulrich Scheuing, and Friedrich-Christian Tischer. "Photonic Network Design Based on Reference Circuits." In Optical Network Design and Modelling. Springer US, 1998. http://dx.doi.org/10.1007/978-0-387-35361-6_5.

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Izadpanah, Hossein, and Chinlon Lin. "Design, Implementation, and System Integration for a Multi-Gigabit WDM Network." In Applications of Photonic Technology. Springer US, 1995. http://dx.doi.org/10.1007/978-1-4757-9247-8_4.

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Poddar, Soumyajit, Prasun Ghosal, Priyajit Mukherjee, Suman Samui, and Hafizur Rahaman. "A Photonic Network on Chip with CDMA Links." In Progress in VLSI Design and Test. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31494-0_50.

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Bélisle, C., L. Mason, and B. Felstead. "Design of an Opto-Electronic Beam Nulling Network for a Multiple-Beam Antenna." In Applications of Photonic Technology. Springer US, 1995. http://dx.doi.org/10.1007/978-1-4757-9247-8_28.

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Dzida, Mateusz, and Andrzej Ba̧k. "Flow Design and Evaluation in Photonic Data Transport Network." In Recent Advances in Computational Optimization. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40132-4_8.

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Harai, Hiroaki, and Masayuki Murata. "Prioritized Buffer Management in Photonic Packet Switches for Diffserv Assured Forwarding." In Next Generation Optical Network Design and Modelling. Springer US, 2003. http://dx.doi.org/10.1007/978-0-387-35670-9_15.

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De Merlier, Jan, Mingshan Zhao, Geert Morthier, and Roel Baets. "Some New Concepts for All-Optical 2R Regeneration Using InP-Based Photonic Integrated Circuits." In Next Generation Optical Network Design and Modelling. Springer US, 2003. http://dx.doi.org/10.1007/978-0-387-35670-9_29.

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Späth, Jan, and Stefan Bodamer. "Performance Evaluation of Photonic Networks under Dynamic Traffic Conditions." In Optical Networks: Design and Modelling. Springer US, 1999. http://dx.doi.org/10.1007/978-0-387-35398-2_2.

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Li, Cheng, Paul V. Gratz, and Samuel Palermo. "Nano-Photonic Networks-on-Chip for Future Chip Multiprocessors." In More than Moore Technologies for Next Generation Computer Design. Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4939-2163-8_7.

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Lehdorfer, Michael, and Oliver Jahreis. "WDM Supervision in PHOTON as a Basis for OAM of All-Optical Transport Networks." In Optical Network Design and Modelling. Springer US, 1998. http://dx.doi.org/10.1007/978-0-387-35361-6_1.

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Conference papers on the topic "Photonic network design"

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Ruffini, Marco. "Design for Sustainable, Multi-service Optical Network Architectures." In Photonic Networks and Devices. OSA, 2015. http://dx.doi.org/10.1364/networks.2015.nem2f.2.

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Mehta, Deepak, Barry O’Sullivan, Cemalettin Ozturk, and Luis Quesada. "On the Design and Dimensioning of a Transparent Optical Core Network." In Photonic Networks and Devices. OSA, 2016. http://dx.doi.org/10.1364/networks.2016.new3c.3.

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Cao, Xiaoyuan, Noboru Yoshikane, Ion Popescu, Takehiro Tsuritani, and Itsuro Morita. "Network Abstraction with Functional Service Design in the Software-defined Optical Networks." In Photonic Networks and Devices. OSA, 2016. http://dx.doi.org/10.1364/networks.2016.netu2c.2.

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Dzida, Mateusz, and Andrzej Bąk. "Flow design in photonic data transport network." In 2015 Federated Conference on Computer Science and Information Systems. IEEE, 2015. http://dx.doi.org/10.15439/2015f148.

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Wong, Albert K. S., Chin-Tau Lea, Wing Wah Yu, Shiu Y. Yuen, and An Chen. "Design of a photonic circuit switching network." In Asia-Pacific Optical and Wireless Communications 2002, edited by Qian Mao, Shoa-Kai Liu, and Kwok-wai Cheung. SPIE, 2002. http://dx.doi.org/10.1117/12.481066.

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Bochmann, Gregor V. "Design of an agile all-photonic network." In Asia-Pacific Optical Communications, edited by Jianli Wang, Gee-Kung Chang, Yoshio Itaya, and Herwig Zech. SPIE, 2007. http://dx.doi.org/10.1117/12.751911.

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Matera, F., and E. Nastri. "Optical network design in content centric network scenario." In 19th Italian National Conference on Photonic Technologies (Fotonica 2017). Institution of Engineering and Technology, 2017. http://dx.doi.org/10.1049/cp.2017.0184.

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Dang, Dharanidhar, Rabi Mahapatra, and Eun Jung Kim. "PID controlled thermal management in photonic network-on-chip." In 2015 33rd IEEE International Conference on Computer Design (ICCD). IEEE, 2015. http://dx.doi.org/10.1109/iccd.2015.7357079.

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Dang, Dharanidhar, Biplab Patra, and Rabi Mahapatra. "A 2-layer laser multiplexed photonic network-on-chip." In 2015 16th International Symposium on Quality Electronic Design (ISQED). IEEE, 2015. http://dx.doi.org/10.1109/isqed.2015.7085458.

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Shacham, Assaf, Keren Bergman, and Luca P. Carloni. "On the Design of a Photonic Network-on-Chip." In First International Symposium on Networks-on-Chip. IEEE, 2007. http://dx.doi.org/10.1109/nocs.2007.35.

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Reports on the topic "Photonic network design"

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Stojanovic, Vladimir, and Krste Asanovic. Analysis and Design of Manycore Processor-to-DRAM Opto-Electrical Networks with Integrated Silicon Photonics. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada511353.

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