Sökning: "Hardware Architecture"

Visar resultat 1 - 5 av 383 uppsatser innehållade orden Hardware Architecture.

  1. 1. Difference Between Memory-based Storage and Register-based Storage on FPGAs

    Master-uppsats, Linköpings universitet/Institutionen för systemteknik

    Författare :Yiqian Cui; [2023]
    Nyckelord :;

    Sammanfattning : Memory-based storage and register-based storage are commonly used storagetypes in fpgas. This thesis aims to build up the architecture of memory-basedstorage and register-based storage, implement the corresponding methods, compare the difference between them and determine which kind of storage workswell under different circumstances. LÄS MER

  3. 2. ANOMALY DETECTION FOR INDUSTRIAL APPLICATIONS USING COMMODITY HARDWARE

    Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

    Författare :John Moberg; Jonathan Widén; [2023]
    Nyckelord :Computer Vision; Anomaly Detection; Single Board Computer; Embedded systems;

    Sammanfattning : As the Automotive industry is heavily regulated from a quality point of view, excellence in pro-duction is obligatory. Due to the fact that removing human error from humans is impossible, new solutions must be found. LÄS MER

  4. 3. EMONAS : Evolutionary Multi-objective Neuron Architecture Search of Deep Neural Network

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Jiayi Feng; [2023]
    Nyckelord :DNN Deep Neural Network ; NAS Neural Architecture Search ; EA Evolutionary Algorithm ; Multi-Objective Optimization; Binary One Optimization; Embedded Systems; DNN Deep Neural Network ; NAS Neural Architecture Search ; EA Evolutionary Algorithm ; Multi-Objective Optimization; Binary One Optimization; Inbyggda system;

    Sammanfattning : Customized Deep Neural Network (DNN) accelerators have been increasingly popular in various applications, from autonomous driving and natural language processing to healthcare and finance, etc. However, deploying them directly on embedded system peripherals within real-time operating systems (RTOS) is not easy due to the paradox of the complexity of DNNs and the simplicity of embedded system devices. LÄS MER

  5. 4. A lightweight deep learning architecture for text embedding : Comparison between the usage of Transformers and Mixers for textual embedding

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Corentin Royer; [2023]
    Nyckelord :Deep Learning; Entity Retrieval; Mixer; Transformer;

    Sammanfattning : Text embedding is a widely used method for comparing pieces of text together by mapping them to a compact vector space. One such application is deduplication which consists in finding textual records that refer to the same underlying idea in order to merge them or delete one of them. LÄS MER

  7. 5. Code Synthesis for Heterogeneous Platforms

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Zhouxiang Fu; [2023]
    Nyckelord :Code Synthesis; Heterogeneous Platform; Zero-Overhead Topology Infrastructure; Kodsyntes; Heterogen plattform; Zero-Overhead Topologi Infrastruktur;

    Sammanfattning : Heterogeneous platforms, systems with both general-purpose processors and task-specific hardware, are largely used in industry to increase efficiency, but the heterogeneity also increases the difficulty of design and verification. We often need to wait for the completion of all the modules to know whether the functionality of the design is correct or not, which can cause costly and tedious design iteration cycles. LÄS MER