Sökning: "parallelization"

Visar resultat 1 - 5 av 136 uppsatser innehållade ordet parallelization.

  1. 1. Big Data and Analytics with Driving  Data : Implementation and Analysis of Data Pipeline and Data Processing Resources

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Ivar Blohm; Erik Jarvis; [2023]
    Nyckelord :;

    Sammanfattning : This thesis project was conducted in cooperation with Zenseact for the purpose of investigating the possible usage of Google BigQuery and its capabilities to store and provide insights of large time-series data. An end-to-end data pipeline was built to facilitate the movement of data from Zenseact's local servers and ingestion into BigQuery. LÄS MER

  3. 2. Over-the-Air Federated Learning with Compressed Sensing

    Master-uppsats, Linköpings universitet/Kommunikationssystem

    Författare :Adrian Edin; [2023]
    Nyckelord :machine learning; ML; Federated Learning; FL; Over-the-air; Over-the-air computation; OtA; OtA computation; AirComp; Compressed sensing; CS; Iterative Hard thresholding; IHT;

    Sammanfattning : The rapid progress with machine learning (ML) technology has solved previously unsolved problems, but training these ML models requires ever larger datasets and increasing amounts of computational resources. One potential solution is to enable parallelization of the computations and allow local processing of training data in distributed nodes, such as Federated Learning (FL). LÄS MER

  4. 3. Efficiently Solving the Exact Cover Problem in OpenMP

    Kandidat-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :Leo Hall; [2023]
    Nyckelord :Exact Cover; openmp; parallelization;

    Sammanfattning : The exact cover problem is an NP-complete problem with many widespread use cases such as crew scheduling, railway scheduling, benchmarking as well as having applications in set theory. Existing algorithms can be slow when dealing with large datasets however. LÄS MER

  5. 4. Performance Optimization of Ice Sheet Simulation Models : Examining ways to speed up simulations, enabling for upscaling with more data

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för beräkningsvetenskap

    Författare :Fredrika Brink; [2023]
    Nyckelord :performance optimization; Python libraries; ice sheet simulations; Numba; Joblib; upscaling; parallelization;

    Sammanfattning : This study aims to examine how simulation models can be performance optimized in Python. Optimized in the sense of executing faster and enabling upscaling with more data. To meet this aim, two models simulating the Greenland ice sheet are studied. The simulation of ice sheets is an important part of glaciology and climate change research. LÄS MER

  7. 5. Cooperative Modular Neural Networks for Artificial Intelligence in Games : A Comparison with A Monolithic Neural Network Regarding Technical Aspects and The Player Experience

    Uppsats för yrkesexamina på avancerad nivå, Blekinge Tekniska Högskola/Fakulteten för datavetenskaper

    Författare :Emil Högstedt; Ove Ødegård; [2023]
    Nyckelord :Neural Network; Modularization; Sensor; Reinforcement Learning; Supervised Learning; Neuralt Nätverk; Modulärisering; Sensor; Förstärkningsinlärning; Väglett Lärande;

    Sammanfattning : Recent years have seen multiple machine-learning research projects concerning agents in video games. Yet, there is a disjoint between this academic research and the video game industry, evidenced by the fact that game developers still hesitate to use neural networks (NN) due to lack of clarity and control. LÄS MER