Essays about: "hardware accelerator"

Showing result 21 - 25 of 63 essays containing the words hardware accelerator.

  1. 21. Hardware Acceleration in the Context of Motion Control for Autonomous Systems

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

    Author : Jelin Leslin; [2020]
    Keywords : Hardware acceleration; Computation offloading; State estimation filter; Autonomous systems; FPGA; GPU.; Hårdvaruacceleration; beräkningsavlastning; tillståndsskattningsfilter; autonoma system; FPGA; GPU.;

    Abstract : 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. READ MORE

  3. 22. A Data Sorting Hardware Accelerator on FPGA

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

    Author : Boyan Liu; [2020]
    Keywords : Data Sorting; Hardware Accelerator Algorithm; Block Circuit; FPGA;

    Abstract : In recent years, with the rise of the application of big data, efficiency has become more important for data processing, and simple sorting methods require higher stability and efficiency in large-scale scenarios. This thesis explores topics related to hardware acceleration for data sorting networks of massive input resource or data stream, which leads to our three different design approaches: running the whole data processing fully on the software side (sorting and merging on PC), a combination of PC side and field- programmable gate arrays (FPGA) platform (hardware sorting with software merging), and fully hardware side (sorting and merging on FPGA). READ MORE

  4. 23. DSP Design With Hardware Accelerator For Convolutional Neural Networks

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

    Author : Julian Hille; Lucas Santos Ferreira; [2019]
    Keywords : CNN; Hardware; Accelerator; DSP; Convolutional; Convolution; Neural; Network; Processor; Tensilica; FIR; Memory; SRAM; Technology and Engineering;

    Abstract : Convolutional Neural Networks impressed the world in 2012 by reaching state-of-the-art accuracy levels in the ImageNet Large Scale Visual Recognition Challenge. The era of machine learning has arrived and with it countless applications varying from autonomous driving to unstructured robotic manipulation. READ MORE

  5. 24. HAALO : A cloud native hardware accelerator abstraction with low overhead

    University essay from Luleå tekniska universitet/Datavetenskap

    Author : Jeremy Facchetti; [2019]
    Keywords : cloud; 5g; hardware accelerator; kubernetes; docker; vnf; nfv; cloud native; virtualization;

    Abstract : With the upcoming 5G deployment and the exponentially increasing data transmitted over cellular networks, off the shelf hardware won't provide enough performance to cope with the data being transferred over cellular networks. To tackle that problem, hardware accelerators will be of great support thanks to their better performances and lower energy consumption. READ MORE

  6. 25. Minimising Memory Access Conflicts for FFT on a DSP

    University essay from Linköpings universitet/Datorteknik

    Author : Sofia Jonsson; [2019]
    Keywords : FFT; DSP; memory access conflict;

    Abstract : The FFT support in an Ericsson's proprietary DSP is to be improved in order to achieve high performance without disrupting the current DSP architecture too much. The FFT:s and inverse FFT:s in question should support FFT sizes ranging from 12-2048, where the size is a multiple of prime factors 2, 3 and 5. READ MORE