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201	An Optimized Fixed-Point Synthetic Aperture Radar Back Projection Algorithm Implemented on a Field-Programmable Gate Array Hettiarachchi, Don Lahiru Nirmal Manikka January 2021 (has links) No description available. Electrical Engineering Synthetic Aperture Radar SAR, SAR image formation Back projection algorithm Fixed-point based design FxBP FxBP-SWI Floating-point based design Field Programmable Gate Array FPGA Stratix V Arria 10 Stratix 10 OpenCL Total energy consumption FPGA vs. GPU Hardened floating-point units FPGAperformance metric
202	Dynamische Anwendungspartitionierung für heterogene adaptive Computersysteme: Dynamische Anwendungspartitionierung für heterogene adaptiveComputersysteme Rößler, Marko 21 May 2014 (has links) Die Dissertationsschrift stellt eine Methodik und die Infrastruktur zur Entwicklung von dynamisch verteilbaren Anwendungen für heterogene Computersysteme vor. Diese Computersysteme besitzen vielfältige Rechenwerke, die Berechnungen in den Domänen Software und Hardware realisieren. Als erster Schritt wird ein übergreifendes und integriertes Vorgehen für den Anwendungsentwurf auf Basis eines abstrakten “Single-Source” Ansatzes entwickelt. Durch die Virtualisierung der Rechenwerke wird die preemptive Verteilung der Anwendungen auch über die Domänengrenzen möglich. Die Anwendungsentwicklung für diese Computersysteme bedarf einer durchgehend automatisierten Entwurfsunterstützung. In der Arbeit wird der dazu vorgeschlagene Ansatz formalisiert und eine neuartige Unterbrechungspunktsynthese entwickelt, die ein hinsichtlich Zeit und Fläche optimiertes, präemptives Verhalten für beliebige Anwendungsbeschreibungen generiert. Das Verfahren wird beispielhaft implementiert und mittels einer FPGA- Prototypenplattform mit Linux-basierter Laufzeitumgebung anhand dreier Fallbeispiele unterschiedlicher Komplexität validiert und evaluiert. / This thesis introduces a methodology and infrastructure for the development of dynamically distributable applications on heterogeneous computing systems. Such systems execute computations using resources from both the hardware and the software domain. An integrated approach based on an abstract single-source design entry is developed that allows preemptive partitioning through virtualization of computing resources across the boundaries of differing computational domains. Application design for heterogeneous computing systems is a complex task that demands aid by electronic design automation tools. This work provides a novel synthesis approach for breakpoints that generates preemptive behaviour for arbitrary applications. The breakpoint scheme is computed for a minimal additional resource utilization and given timing constraints. The approach is implemented on an FPGA prototyping platform driven by a Linux based runtime environment. Evaluation and validation of the approach have been carried out using three different application examples. info:eu-repo/classification/ddc/620 ddc:620 info:eu-repo/classification/ddc/537 ddc:537
203	Methodologies for FPGA Implementation of Finite Control Set Model Predictive Control for Electric Motor Drives Lao, Alex January 2019 (has links) Model predictive control is a popular research focus in electric motor control as it allows designers to specify optimization goals and exhibits fast transient response. Availability of faster and more affordable computers makes it possible to implement these algorithms in real-time. Real-time implementation is not without challenges however as these algorithms exhibit high computational complexity. Field-programmable gate arrays are a potential solution to the high computational requirements. However, they can be time-consuming to develop for. In this thesis, we present a methodology that reduces the size and development time of field-programmable gate array based fixed-point model predictive motor controllers using automated numerical analysis, optimization and code generation. The methods can be applied to other domains where model predictive control is used. Here, we demonstrate the benefits of our methodology by using it to build a motor controller at various sampling rates for an interior permanent magnet synchronous motor, tested in simulation at up to 125 kHz. Performance is then evaluated on a physical test bench with sampling rates up to 35 kHz, limited by the inverter. Our results show that the low latency achievable in our design allows for the exclusion of delay compensation common in other implementations and that automated reduction of numerical precision can allow the controller design to be compacted. / Thesis / Master of Applied Science (MASc) fpga field programmable gate array fcs finite control set hdl hardware description language rtl register transfer level numerical precision satisfiability modulo theories mpc model predictive control word length optimization electric drive electric motor permanent magnet synchronous motor interval arithmetic control system digital control inverter fixed point real time
204	Applications of Complex Network Dynamics in Ultrafast Electronics Charlot, Noeloikeau Falconer 08 September 2022 (has links) No description available. Electromagnetism Engineering Experiments High Temperature Physics Information Science Low Temperature Physics Materials Science Medical Imaging Mathematics Quantum Physics Solid State Physics Physics Scientific Imaging Technology Theoretical Physics Systems Design Nanotechnology Information Systems Electrical Engineering Condensed Matter Physics Applied Mathematics Information Technology Particle Physics Computer Science Computer Engineering Electromagnetics Boolean Network Field Programmable Gate Array Ultrafast Electronics Chaos Computing Dynamical Systems Time to Digital Converter Measurement Fractal Basin Physically Unclonable Function Physical Unclonable Function Hybrid Boolean Network Waveform Capture Device PUF FPGA TDC WCD HBN HBN-PUF

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