Essays about: "network on chip algorithm"

Showing result 1 - 5 of 22 essays containing the words network on chip algorithm.

  1. 1. Low-power Implementation of Neural Network Extension for RISC-V CPU

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

    Author : Dario Lo Presti Costantino; [2023]
    Keywords : Artificial intelligence; Deep learning; Neural networks; Edge computing; Convolutional neural networks; Low-power electronics; RISC-V; AI accelerators; Parallel processing; Artificiell intelligens; Deep learning; Neurala nätverk; Edge computing; konvolutionella neurala nätverk; Lågeffektelektronik; RISC-V; AI-acceleratorer; Parallell bearbetning;

    Abstract : Deep Learning and Neural Networks have been studied and developed for many years as of today, but there is still a great need of research on this field, because the industry needs are rapidly changing. The new challenge in this field is called edge inference and it is the deployment of Deep Learning on small, simple and cheap devices, such as low-power microcontrollers. READ MORE

  3. 2. Mapping DNNs onto the NoC Platform

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

    Author : Hanbo Xu; [2022]
    Keywords : ;

    Abstract : This thesis uses an existing NoC simulation platform to construct a Network on Chip-based many-core system. The network is an 8_8 mesh topology. This thesis chooses LeNet5, ResNet, VGGNet, and AlexNet as the computing load, and tries to obtain a deep neural network mapping algorithm based on a NoC design method that can be widely used. READ MORE

  4. 3. Design of the SiLago GNOC

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

    Author : Weiyao Tang; [2022]
    Keywords : Synchoros Blocks; SiLago models; Network on Chips; Routing Algorithm and Deadlock; Physical Design; Synchoros-block; SiLago-modeller; nätverk på chip; routingalgoritm och dödläge; fysisk design;

    Abstract : Synchoros VLSI design style can be an alternative choice to fit the increasing complexity of embedded multi-processor architectures. SiLago Block is part of the synchoros blocks, which can effectively reduce the cost of logic and physical synthesis as it is hardened and highly centralized details from each layer of metal. READ MORE

  5. 4. OBJECT DETECTION USING DEEP LEARNING ON METAL CHIPS IN MANUFACTURING

    University essay from Mälardalens högskola/Akademin för innovation, design och teknik

    Author : Robin Andersson Dickfors; Nick Grannas; [2021]
    Keywords : Object detection; deep learning; machine learning; computer vision; classification; manufacturing; small object detection;

    Abstract : Designing cutting tools for the turning industry, providing optimal cutting parameters is of importance for both the client, and for the company's own research. By examining the metal chips that form in the turning process, operators can recommend optimal cutting parameters. READ MORE

  6. 5. Machine Learning for Space Applications on Embedded Systems

    University essay from Luleå tekniska universitet/Rymdteknik

    Author : Ric Dengel; [2021]
    Keywords : Machine Learning; Space Application; Embedded System; Hardware Acceleration; FPGA;

    Abstract : As space missions continue to increase in complexity, the operational capabilities and amount of gathered data demand ever more advanced systems. Currently, mission capabilities are often constrained by the link bandwidth as well as onboard processing capabilities. READ MORE