Essays about: "Fpga"

Showing result 6 - 10 of 425 essays containing the word Fpga.

  1. 6. Determining the Optimal Frequencies for a Duplicated Randomized Clock SCA Countermeasure

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Gabriel Klasson Landin; Truls Julborg; [2023]
    Keywords : Side channel attack; Cryptography; Correlation power analysis; Chipwhisperer; Frequency; Hardware security;

    Abstract : Side-channel attacks pose significant challenges to the security of embedded systems, often allowing attackers to circumvent encryption algorithms in minutes compared to the trillions of years required for brute-force attacks. To mitigate these vulnerabilities, various countermeasures have been developed. READ MORE

  2. 7. Modeling, Simulation, and Injection of Camera Images/Video to Automotive Embedded ECU : Image Injection Solution for Hardware-in-the-Loop Testing

    University essay from Uppsala universitet/Signaler och system

    Author : Anton Lind; [2023]
    Keywords : ADAS; AD; ADS; HIL; Hardware in the loop; Hardware-in-the-loop; ECU; VCU; Automotive; Embedded; System; Systems; Camera; Image; Video; Injection; FPGA; MPSoC; Vivado; Vitis; VHDL; Volvo; Cars; FMC; HPC; LPC; MIPI CSI2; GMSL2; AMBA AXI4; Xilinx; RTL; Implementation; Synthesis; Intelectual Property; IP; Vehicle computing unit; Electronic control unit; TEB0911; TEF0007; TEF0010; CSI2 Tx; CSI2 Tx Subsystem; Zynq; SerDes; AXI4; AXI4-Lite; Programmable Logic; PL; Processor System; PS; C; C ; Video test pattern generator; VTPG; Axi traffic generator; ATG; Ultrascale ; Virtual input output; VIO; Integrated logic analyzer; ILA; Interface Unit;

    Abstract : Testing, verification and validation of sensors, components and systems is vital in the early-stage development of new cars with computer-in-the-car architecture. This can be done with the help of the existing technique, hardware-in-the-loop (HIL) testing which, in the close loop testing case, consists of four main parts: Real-Time Simulation Platform, Sensor Simulation PC, Interface Unit (IU), and unit under test which is, for instance, a Vehicle Computing Unit (VCU). READ MORE

  3. 8. A General Purpose Near Data Processing Architecture Optimized for Data-intensive Applications

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Xingda Li; Haidi Hu; [2023]
    Keywords : Technology and Engineering;

    Abstract : In recent years, as Internet of Things (IoT) and machine learning technologies have advanced, there has been increasing interest in the study of energy-efficient and flexible architectures for embedded systems. To bridge the performance gap between microprocessors and memory systems, Near-Data Processing (NDP) was introduced. READ MORE

  4. 9. Effects of Varying Precision on a FPGA using the SpMXV problem : A comparative study

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Vendela Asplund; Martin Lindefors; [2023]
    Keywords : ;

    Abstract : With Moore’s Law slowing down, designing computer hardware that keeps up with the performance demands is becoming increasingly difficult. An interesting area of research is the Field Programmable Gate Array (FPGA) which is a re-programmable hardware device, and which might not be as dependent on Moore’s Law as other hardware. READ MORE

  5. 10. 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 informationsteknik

    Author : Kristoffer Westring; Linus Svensson; [2023]
    Keywords : FPGA; ASIC; Near Memory Computing; RISC-V; Convolutional Neural Network; Technology and Engineering;

    Abstract : 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