Sökning: "AI accelerator"

Visar resultat 1 - 5 av 12 uppsatser innehållade orden AI accelerator.

  1. 1. Design, implementering och evaluering av en AI accelerator med Google Coral Dual Edge TPU

    Uppsats för yrkesexamina på grundnivå, Umeå universitet/Institutionen för tillämpad fysik och elektronik

    Författare :Oscar Burwall; [2023]
    Nyckelord :PCIe; PCI Express; Edge TPU; AI accelerator; PCB; Google Coral;

    Sammanfattning : Den snabbt växande utvecklingen av AI-baserade applikationer och den stora mängden data dessa applikationer behandlar ställer ökade krav på prestanda och optimering av datorsystemen. För att tillfredsställa de växande datorbehoven används hårdvaruacceleratorer som förbättrar databehandlingshastigheten genom att avlasta den befintliga utrustningen genom att hjälpa till med uppgifter och komplexa beräkningar. LÄS MER

  3. 2. Low Power Hardware Accelerator For Gated Recurrent Unit

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

    Författare :Malavika Balakumar; [2022]
    Nyckelord :;

    Sammanfattning : Neural Networks are a subset of Machine Learning which are designed to recognize patterns. Recurrent Neural Networks are an important part of AI (Artificial Intelligence) which allows for short term as well as long term dependencies to be captured. LÄS MER

  4. 3. Autoencoder Compression in High Energy Physics

    Master-uppsats, Lunds universitet/Partikel- och kärnfysik; Lunds universitet/Fysiska institutionen; Lunds universitet/Lunds Tekniska Högskola

    Författare :Sten Åstrand; [2022]
    Nyckelord :High energy physics; LHC; ATLAS; hadron jet; machine learning; autoencoder; dimensionality reduction; artificial intelligence; data compression; Physics and Astronomy;

    Sammanfattning : Situated in Geneva, Switzerland, the Large Hadron Collider is largest particle accelerator in the world, and as such, its operation carries with it some of the greatest technical challenges ever faced. Among them are the huge demands put on data storage capacity by experiments in particle physics, both in terms of rate and volume of data. LÄS MER

  5. 4. Analyzing the latency overheads of acceleration in heterogeneous systems

    Magister-uppsats, Mälardalens högskola/Inbyggda system

    Författare :Nihad Ferhatović; [2021]
    Nyckelord :;

    Sammanfattning : Importance of low-latency heterogeneous systems in today’s world is immeasurable, which was proven in the last few years especially with the appearance of pandemic Covid-19 by forcing us to use online streaming technologies. By tackling more complex tasks and problems, algorithms require computational power that often exceeds the capabilities of pieces of technology used for computational tasks. LÄS MER

  7. 5. A Low Power AI Inference Accelerator for IoT Edge Computing

    Master-uppsats, Linköpings universitet/Datorteknik

    Författare :Olle Hansson; [2021]
    Nyckelord :low power; artificial intelligence; AI; inference accelerator; internet of things; IoT; edge computing; machine learning; ML;

    Sammanfattning : This thesis investigates the possibility of porting a neural network model trained and modeled in TensorFlow to a low-power AI inference accelerator for IoT edge computing. A slightly modified LeNet-5 neural network model is presented and implemented such that an input frequency of 10 frames per second is possible while consuming 4mW of power. LÄS MER