Sökning: "memory efficient"

Visar resultat 1 - 5 av 290 uppsatser innehållade orden memory efficient.

  1. 1. Utilizing energy-saving techniques to reduce energy and memory consumption when training machine learning models : Sustainable Machine Learning

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

    Författare :Khalid El Yaacoub; [2024]
    Nyckelord :Sustainable AI; Machine learning; Quantization-Aware Training; Model Distillation; Quantized Distillation; Siamese Neural Networks; Continual Learning; Experience Replay; Data Efficient AI; Energy Consumption; Energy-Savings; Sustainable ML; Computation resources; Hållbar maskin inlärning; Hållbar AI; Maskininlärning; Quantization-Aware Training; Model Distillation; Quantized Distillation; siamesiska neurala nätverk; Continual Learning; Experience Replay; Dataeffektiv AI; Energiförbrukning; Energibesparingar; Beräkningsresurser;

    Sammanfattning : Emerging machine learning (ML) techniques are showing great potential in prediction performance. However, research and development is often conducted in an environment with extensive computational resources and blinded by prediction performance. LÄS MER

  3. 2. Compression of Sequential Voxel Data for Sequence-based Animation

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Filip Antonijevic; [2023-10-23]
    Nyckelord :voxel; octree; grid; compression; animation; spatiotemporal; sorting; reordering; DXT; HSV;

    Sammanfattning : This thesis presents a method for lossy compression of voxel data in an animation sequence. Uncompressed voxel animation can become very memory intensive and therefore need a more efficient method to store and render such data. LÄS MER

  4. 3. Jämförelse av datakomprimeringsalgoritmer för sensordata i motorstyrenheter

    M1-uppsats, KTH/Hälsoinformatik och logistik

    Författare :Malin Möller; Dominique Persson; [2023]
    Nyckelord :data compression; time-series data; embedded systems; engine control units; inverters; datakomprimering; tidsseriedata; inbyggda system; motorstyrenheter; växelriktare;

    Sammanfattning : Begränsad processor- och minneskapacitet är en stor utmaning för loggning avsensorsignaler i motorstyrenheter. För att kunna lagra större mängder data i dessakan komprimering användas. LÄS MER

  5. 4. Artificial Neural Networks for Financial Time Series Prediction

    Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Dana Malas; [2023]
    Nyckelord :artificial neural networks; time series analysis; deep learning; finance; long short-term memory; simple moving average;

    Sammanfattning : Financial market forecasting is a challenging and complex task due to the sensitivity of the market to various factors such as political, economic, and social factors. However, recent advances in machine learning and computation technology have led to an increased interest in using deep learning for forecasting financial data. LÄS MER

  7. 5. A Study of the Reuse-Distance Behavior of Instructions

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Eduard Ispas; [2023]
    Nyckelord :;

    Sammanfattning : Cache replacement policies play a critical role in optimizing the performance of cache memory in computer systems. While policies like Least Recently Used (LRU) are popular, they have proven to be inefficient under certain circumstances. LÄS MER