Sökning: "vivado hls"
Visar resultat 1 - 5 av 8 uppsatser innehållade orden vivado hls.
1. Evaluation of high-level synthesis tools for generation of Verilog code from MATLAB based environments
Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknikSammanfattning : FPGAs are of interest in the signal processing domain as they provide the opportunity to run algorithms at very high speed. One possible use case is to sort incoming data in a measurement system, using e.g. a histogram method. LÄS MER
2. High-Level Synthesis for Efficient Design and Verification
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : Designing hardware using High Level Synthesis automates parts of the digital hardware design process. By automating the process control is passed from the designer to the tool, thus it is highly important that the tool generates high performance hardware in terms of area and speed. LÄS MER
3. Hardware Acceleration in the Context of Motion Control for Autonomous Systems
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : State estimation filters are computationally intensive blocks used to calculate uncertain/unknown state values from noisy/not available sensor inputs in any autonomous systems. The inputs to the actuators depend on these filter’s output and thus the scheduling of filter has to be at very small time intervals. LÄS MER
4. Creation of a Technology Independent Design Flow
Magister-uppsats, Mälardalens högskola/Inbyggda systemSammanfattning : Modern embedded systems development poses new challenges to a designer due to the global reachability of the contemporary market. One product shipped to different countries or customers should satisfy varying conditions, standards and constraints. Variability of a developed system should be taken into account by a designer. LÄS MER
5. Improving embedded deep learning object detection by integrating infrared camera
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Deep learning is the current state-of-the-art for computer vision applications. FPGAs have a potential to fit this niche due to lower development costs and faster development cycles than ASICs, with a smaller size and power footprint than GPUs. LÄS MER