Visando atuação flexível em redes heterogêneas, modernos sistemas multimídia podem adotar o conceito da codificação escalável, onde o fluxo de vídeo é composto por múltiplas camadas, cada qual complementando e aprimorando gradualmente as características de exibição, de forma adaptativa às capacidades de cada receptor. Atualmente, a especificação H.264/SVC representa o estado da arte da área, por sua eficiência de codificação aprimorada, porém demanda recursos computacionais extremamente elevados. Neste contexto, o presente trabalho apresenta uma arquitetura de projeto colaborativo de hardware e software, que explora as características dos diversos algoritmos internos do codificador H.264/SVC, buscando um adequado balanceamento entre as duas tecnologias (hardware e software) para a implementação prática de um codificador escalável de até 16 camadas em formato de 1920x1080 pixels. A partir de um modelo do código de referência H.264/SVC, refinado para reduzir tempos de codificação, foram definidas estratégias de particionamento de módulos e integração entre entidades de software e hardware, avaliando-se questões como dependência de dados e potencial de paralelismo dos algoritmos, assim como restrições práticas das interfaces de comunicação e acessos à memória. Em hardware foram implementados módulos de transformadas, quantização, filtro anti-blocagem e predição entre camadas, permanecendo em software funções de gerência do sistema, entropia, controle de taxa e interface com usuário. A solução completa obtida, integrando módulos em hardware, sintetizados em uma placa de desenvolvimento, com o software de referência refinado, comprova a validade da proposta, pelos significativos ganhos de desempenho registrados, mostrando-se como uma solução adequada para aplicações que exijam codificação escalável tempo real. / In order to support heterogeneous networks and distinct devices simultaneously, modern multimedia systems can adopt the scalability concept, when the video stream is composed by multiple layers, each one being responsible for gradually enhance the video exhibition quality, according to specific receiver capabilities. Currently the H.264/SVC specification can be considered the state-of-art in this area, by improving the coding efficiency, but, in the other hand, impacting in extremely high computational demands. Based on that, this work presents a hardware/software co-design architecture, which explores the characteristics of H.264/SVC internal algorithms, aiming the right balancing between both technologies (hardware and software) in order to generate a practical scalable encoder implementation, able to process up to 16 layers in 1920x1080 pixels format. Based in an H.264/SVC reference code model, which was refined in order to reduce global encoding time, the approaches for module partitioning and data integration between hardware and software were defined. The proposed methodology took into account characteristics like data dependency and inherent possibility of parallelism, as well practical restrictions like influence of communication interfaces and memory accesses. Particularly, the modules of transforms, quantization, deblocking and inter-layer prediction were implemented in hardware, while the functions of system management, entropy, rate control and user interface were kept in software. The whole solution, which was obtained integrating hardware modules, synthesized in a development board, with the refined H.264/SVC reference code, validates the proposal, by the significant performance gains registered, indicating it as an adequate solution for applications which require real-time video scalable coding.

Orientadores: Norian Marranghello / Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação / Made available in DSpace on 2018-08-04T00:21:09Z (GMT). No. of bitstreams: 1 Oliveira_WagnerLuizAlvesde_D.pdf: 11239313 bytes, checksum: 6656f5270142e68410f7ed92ce02dc2d (MD5) Previous issue date: 2004 / Resumo: O projeto de sistemas digitais alcançou um elevado grau de complexidade, inviabilizando sua consecução sem o uso de ferramentas de CAD. O ponto de partida de tais ferramentas consiste numa visão conceitual do sistema pretendido (dada por um ou mais modelos conceituais), a qual é capturada para tratamento computacional por uma ou mais linguagens de especificação. Várias dessas linguagens foram desenvolvidas visando capturar tantas características de hardware e de software quanto possível, de acordo com diferentes metodologias de projeto. Rede de Petri é uma classe de modelos conceituais utilizada na modelagem de diversos tipos de sistemas computacionais paralelos. Algumas extensões de rede de Petri foram propostas visando à descrição, de forma tão acurada quanto possível, de características de sistemas digitais. Entretanto, somente duas destas extensões possuem um número maior de características necessárias à descrição integral de tais sistemas. O presente trabalho apresenta uma extensão de rede de Petri desenvolvida para superar as limitações das demais extensões na representação de sistemas digitais. O trabalho apresenta, também, uma metodologia de coprojeto hardware/software na qual a extensão proposta pode ser usada como linguagem de modelagem interna. Tal plataforma visa a descrição, simulação, análise, validação e síntese em alto nível de sistemas digitais embutidos / Abstract: Digital system design has reached a high degree of complexity that prevents its realization without CAD tools. The starting point of such tools consists on a conceptual view of the intended system (given by one or more conceptual models), which is captured for computational handling by one or more specification languages. Several of such languages were developed aiming to capture as many hardware and software characteristics as possible, according to different design methodologies. Petri net is a class of conceptual models for parallel system modeling. Some Petri net extensions have been proposed aiming at describing digital systems characteristics as accurately as possible. However, only two of them have nearly all features needed to describe such systems in full. This work presents a Petri net extension developed to overcome the restrictions for digital system modeling through Petri net extensions. A hardware/software codesign methodology in which the proposed extension can be used as the internal modeling language is presented as well. Such a framework aims embedded digital system description, simulation, analysis, validation, and high-level synthesis / Doutorado / Eletrônica, Microeletrônica e Optoeletrônica / Doutor em Engenharia Elétrica

This study is focused on grafical modeling of embedded systems using dialects of UML. It provides a brief description of existing profiles. Furthemore it deals with modeling frameworks for the Eclipse platform and describes an implementation of such modeling tool as a part of project Lissom.

This thesis describes a conceptual design of touchless fingerprint sensor and design, implementation and testing of its firmware, which is a composition of hardware implemented in VHDL and a program implemented in C. Result of this thesis can be used as the first step of building an industrial solution.

A SoC design approach is implemented for the MERGE project which features Machine Learning (ML) interface for the hardware design. This setup deals with detection and localization of impact on a piezo metal composite. Development of the project is executed on Digilent ZYBO board. ZYBO incorporates Xilinx ZYNQ architecture. This architecture provides Processing System (PS) and Programmable Logic (PL) that communicate with each other via AMBA Standard AXI4 Interface. Communication cost have major inuence on the system performance. A optimized hardware software partitioning solution will reduce the communication costs. Therefore, best fitting interface for the provided design is needed to be evaluated to trade-off between cost and performance. High performance of AXI Interface will provide efficient localization of impact, especially for real-time scenario. In the thesis, the performance of three different AXI4 interface are evaluated. Evaluation is performed on the basis of the amount of data transferred and the time taken to process it. Evaluation of interfaces are done through implementation of test cases in Xilinx SDK. Hardware design for AXI4-Interfaces is implemented in Vivado and later tested on Digilent ZYBO board. To test the performance of interfaces, read and write operations are initiated by PS on interface design. Each operation is performed for multiple data lengths. Average execution time is calculated that highlights time taken to transfer the corresponding input data length. Through these tests, it is found that AXI4-Stream is the best choice for a continuous set of data. Preferably, it provides unlimited burst length which is useful for the current project. Among other two interfaces, AXI4-Full performed better in terms of execution time as compared to AXI4-Lite.

During development of control systems for power electronic systems, it is desirable to test the controller in real-time, by interfacing it with an emulator device. In this context, this work comprises the development of an emulator that can model accurately the dynamics of high speed power electronic systems and provides interfaces that are compatible with the real hardware. The realtime state calculations, based on discrete models, were performed on custom logic, implemented on an FPGA. The realized system allows to emulate Linear Parameter Varying (LPV) systems, achieving sampling rates up to 12MHz using a low cost Xilinx FPGA. As a result, power electronic systems with very high switching frequencies can be modeled. In addition, the FPGA incorporates a soft-core processor that allows a designer to easily re-configure the system model through software. The emulator system has been validated for a multiphase DC-DC converter, by comparing its results with the real hardware setup.

The use of neural networks, machine learning, or artificial intelligence, in its broadest and most controversial sense, has been a tumultuous journey involving three distinct hype cycles and a history dating back to the 1960s. Resurgent, enthusiastic interest in machine learning and its applications bolsters the case for machine learning as a fundamental computational kernel. Furthermore, researchers have demonstrated that machine learning can be utilized as an auxiliary component of applications to enhance or enable new types of computation such as approximate computing or automatic parallelization. In our view, machine learning becomes not the underlying application, but a ubiquitous component of applications. This view necessitates a different approach towards the deployment of machine learning computation that spans not only hardware design of accelerator architectures, but also user and supervisor software to enable the safe, simultaneous use of machine learning accelerator resources. In this dissertation, we propose a multi-transaction model of neural network computation to meet the needs of future machine learning applications. We demonstrate that this model, encompassing a decoupled backend accelerator for inference and learning from hardware and software for managing neural network transactions can be achieved with low overhead and integrated with a modern RISC-V microprocessor. Our extensions span user and supervisor software and data structures and, coupled with our hardware, enable multiple transactions from different address spaces to execute simultaneously, yet safely. Together, our system demonstrates the utility of a multi-transaction model to increase energy efficiency improvements and improve overall accelerator throughput for machine learning applications.

Тема данной магистерской диссертации - "Исследование и разработка аппаратно-программного комплекса "e-check"", - в рамках которой была рассмотрена реализация технологии получения и передачи электронного кассового чека, разработано программное обеспечение, проведено имитационное моделирование системы, произведен анализ правового статуса исследования. Объектом исследования является кассовый чек. Предметом исследования является создание и передача электронного кассового чека. Методами проектного исследования данной работы являются теоретический анализ, изучение соответствующей литературы, сравнение, проектирование. Практическая значимость работы заключается в создании программного обеспечения, которое позволит облегчить ведение онлайн бизнеса. Результаты работы: разработанная технология создания и передачи электронного кассового чека, программно-аппаратный комплекс и мобильные приложения, выступление на конференции, подготовка к интеграции в проекты. / The topic of this master's thesis is "Research and development of the hardware-software complex "e-check"", within which the implementation of the technology for receiving and transmitting an electronic cash receipt was considered, software was developed, simulation modeling of the system was carried out, an analysis of the legal status was made. The object of the study is a cashier's check. The subject of the study is the creation and transfer of an electronic cash receipt. Methods of design research of this work are theoretical analysis, study of relevant literature, comparison, design. The practical significance of the work lies in the creation of software that will facilitate the conduct of online business. Results of the work: developed technology for creating and transmitting an electronic cash receipt, software and hardware complex and mobile applications, presentation at the conference, preparation for integration into projects.

No description available.

The unabated continuation of the Moore's law has allowed the doubling of the number of transistors per unit area of a silicon die every 2 years or so. At the same time, an increasing demand on consumer electronics and computing equipments to run sophisticated applications has led to an unprecedented complexity of hardware designs. These factors have necessitated the abstraction level of design-entry of hardware systems to be raised beyond the Register-Transfer-Level (RTL) to Electronic System Level (ESL). However, power envelope on the designs due to packaging and other thermal limitations, and the energy envelope due to battery life-time considerations have also created a need for power/energy efficient design. The confluence of these two technological issues has created an urgent need for solving two problems: (i) How do we enable a power-aware design flow with a design entry point at the Electronic System Level? (ii) How do we enable power aware High Level Synthesis to automatically synthesize RTL implementation from ESL? This dissertation distinguishes itself by addressing the following two issues: (i) Since power/energy consumption of electronic systems largely depends on implementation details, and high-level models abstract away from such details, power/energy estimation at such levels has not been addressed thoroughly. (ii) A lot of work has been done in applying various techniques on control-data-flow graphs (CDFG) to find power/area/latency pareto points during behavioral synthesis. However, high level C-based functional models of various compute-intensive components, which could be easily synthesized as co-processors, have many opportunities to reduce power. Some of these savings opportunities are traditional such as clock-gating, operand-isolation etc. The exploration of alternate granularities of these techniques with target applications in mind, opens the door for traditional power reduction opportunities at the high-level. This work therefore concentrates on the aforementioned two areas of inadequacy of hardware design methodologies. Our proposed solutions include utilizing ESL simulation traces and mapping those to lower abstraction levels for power estimation, derivation of statistical power models using regression based learning for power estimation at early design stages, etc. On the HLS front, techniques that insert the power saving features during the synthesis process using exploration of granularity and scope of clock-gating, sequential clock-gating are proposed. Finally, this work shows how to marry two domains, that is estimation and reduction. In this regard, a power model is proposed, which helps in predicting power savings obtained using clock-gating and further guiding HLS to selectively insert clock-gating. / Ph. D.