Essays about: "Xilinx Zynq UltraScale"

Found 3 essays containing the words Xilinx Zynq UltraScale.

  1. 1. Implementation of a Deep Learning Inference Accelerator on the FPGA.

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

    Author : Shenbagaraman Ramakrishnan; [2020]
    Keywords : Artificial Intelligence; Machine Learning; Deep Learning; Neural Networks; Deep Learning Accelerators; NVDLA; FPGA; Technology and Engineering;

    Abstract : Today, Artificial Intelligence is one of the most important technologies, ubiquitous in our daily lives. Deep Neural Networks (DNN's) have come up as state of art for various machine intelligence applications such as object detection, image classification, face recognition and performs myriad of activities with exceptional prediction accuracy. READ MORE

  2. 2. Evaluation of high-level synthesis tools for generation of Verilog code from MATLAB based environments

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Carl Bäck; [2020]
    Keywords : HLS; System Generator for DSP; Histogram; Xilinx Zynq UltraScale ; FPGA design workflow; Hardware Description Language Coder; HDL Coder; Field Programmable Gate Arrays; Image processing;

    Abstract : 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. READ MORE

  3. 3. Acceleration of deep convolutional neural networks on multiprocessor system-on-chip

    University essay from Uppsala universitet/Avdelningen för datorteknik

    Author : Martin Reiche Myrgård; [2019]
    Keywords : Neurala nätverk; MPSoC; FPGA; DCNN;

    Abstract : In this master thesis some of the most promising existing frameworks and implementations of deep convolutional neural networks on multiprocessor system-on-chips (MPSoCs) are researched and evaluated. The thesis’ starting point was a previousthesis which evaluated possible deep learning models and frameworks for object detection on infra-red images conducted in the spring of 2018. READ MORE