Sökning: "GPU Computation"

Visar resultat 16 - 20 av 51 uppsatser innehållade orden GPU Computation.

  1. 16. Synthesis of GPU Programs from High-Level Models

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

    Författare :Jiang Ziyuan; [2018]
    Nyckelord :;

    Sammanfattning : Modern graphics processing units (GPUs) provide high-performance general purpose computation abilities. They have massive parallel architectures that are suitable for executing parallel algorithms and operations. They are also throughput-oriented devices that are optimized to achieve high throughput for stream processing. LÄS MER

  3. 17. Power Efficiency of Radar Signal Processing on Embedded Graphics Processing Units (GPUs)

    Kandidat-uppsats,

    Författare :Simon Blomberg; [2018]
    Nyckelord :GPGPU;

    Sammanfattning : In recent years the use of graphics processing units for general purpose computation has been increasing. This provides a relatively cheap and easy way of optimizing computation intensive tasks. Although a lot of research has been done on this subject the power aspect of this is not very clear. LÄS MER

  4. 18. Improving the Accuracy of 2D On-Road Object Detection Based on Deep Learning Techniques

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

    Författare :Ying Yu; [2018]
    Nyckelord :;

    Sammanfattning : This paper focuses on improving the accuracy of detecting on-road objects, includingcars, trucks, pedestrians, and cyclists. To meet the requirements of theembedded vision system and maintain a high speed of detection in the advanceddriving assistance system (ADAS) domain, the neural network model is designedbased on single channel images as input from a monocular camera. LÄS MER

  5. 19. An Evaluation of TensorFlow as a Programming Framework for HPC Applications

    Master-uppsats, KTH/Beräkningsvetenskap och beräkningsteknik (CST); KTH/Parallelldatorcentrum, PDC

    Författare :Wei Der Chien; [2018]
    Nyckelord :HPC; GPU; TensorFlow;

    Sammanfattning : In recent years, deep-learning, a branch of machine learning gained increasing popularity due to their extensive applications and performance. At the core of these application is dense matrix-matrix multiplication. Graphics Processing Units (GPUs) are commonly used in the training process due to their massively parallel computation capabilities. LÄS MER

  7. 20. GPU Accelerated Light Field Compression

    Master-uppsats, Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakulteten

    Författare :Gabriel Baravdish; [2018]
    Nyckelord :Light field; Compression; Image processing;

    Sammanfattning : This thesis presents a GPU accelerated method to compress light field or light field videos. The implementation is based on an earlier work of a full light field compression framework. The large amount of data storage by capturing light fields is a challenge to compress and we seek to accelerate the encoding part. LÄS MER