Essays about: "hardware description language"
Showing result 1 - 5 of 50 essays containing the words hardware description language.
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1. FPGA Based Control of Multiple Electric Machines for Marine Propulsion Systems
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This master thesis addresses the control of electric propulsion motors in a marine context. The focus lies mainly on the implementation of field oriented control (FOC) in a field programmable gate array (FPGA). The hypothesis is that FPGAs provide performance advantages over microcontroller-based control solutions by enabling parallel processing. READ MORE
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2. FPGA programming with VHDL : A laboratory for the students in the Switching Theory and Digital Design course
University essay from Högskolan i HalmstadAbstract : This thesis aims to create effective and comprehensive learning materials for students enrolled in the Switching Theory and Digital Design course. The lab is designed to enable students to program an FPGA using VHDL in the Quartus programming environment to control traffic intersections with sensors and traffic signals. READ MORE
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3. Wordlength inference in the Spade HDL : Seven implementations of wordlength inference and one implementation that actually works
University essay from Linköpings universitet/Institutionen för systemteknikAbstract : Compilers, complex programs with the potential to greatly facilitate software and hardware design. This thesis focuses on enhancing the Spade hardware description language, known for its user-friendly approach to hardware design. READ MORE
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4. Content assist in integrated development environments for hardware description languages
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Content assist is one of the most powerful features in integrated development environments (IDE). While a lot of research papers exist on content assist for software programming languages (SPL), hardware description languages (HDL) aren’t covered at all. READ MORE
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5. Low-power Acceleration of Convolutional Neural Networks using Near Memory Computing on a RISC-V SoC
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : The recent peak in interest for artificial intelligence, partly fueled by language models such as ChatGPT, is pushing the demand for machine learning and data processing in everyday applications, such as self-driving cars, where low latency is crucial and typically achieved through edge computing. The vast amount of data processing required intensifies the existing performance bottleneck of the data movement. READ MORE