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  1. 1. Evaluating the performance of CUDA Graphs in common GPGPU programming patterns

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

    Författare :Mert Demirsü; Axel Lervik; [2023]
    Nyckelord :;

    Sammanfattning : CUDA Graphs is a relatively new and unexplored feature of CUDA that presents an alternative for submitting work to the GPU. This report aims to evaluate the performance benefits of CUDA Graphs. The means to this end was a benchmark suite containing CUDA applications that do not utilise CUDA Graphs. LÄS MER

  3. 2. Register Caching for Energy Efficient GPGPU Tensor Core Computing

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

    Författare :Qiran Qian; [2023]
    Nyckelord :Computer Architecture; GPGPU; Tensor Core; GEMM; Energy Efficiency; Register File; Cache; Instruction Scheduling; Datorarkitektur; GPGPU; Tensor Core; GEMM; energieffektivitet; registerfil; cache; instruktionsschemaläggning;

    Sammanfattning : The General-Purpose GPU (GPGPU) has emerged as the predominant computing device for extensive parallel workloads in the fields of Artificial Intelligence (AI) and Scientific Computing, primarily owing to its adoption of the Single Instruction Multiple Thread architecture, which not only provides a wealth of thread context but also effectively hide the latencies exposed in the single threads executions. As computational demands have evolved, modern GPGPUs have incorporated specialized matrix engines, e. LÄS MER

  4. 3. Improving the Accuracy of FFT-based GPGPU Ocean Surface Simulations

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

    Författare :Jacob Eriksson; Joakim Wingård; [2022-12-01]
    Nyckelord :computer graphics; 3D graphics; real-time rendering; Fourier transform; FFT; simulation; GPGPU; interactive; ocean wave spectrum; oceanography;

    Sammanfattning : In this paper, we explore how the current state of the art in real-time ocean simulations can be improved in terms of simulation accuracy, while preserving performance. Current methods, both in academia and in the industry, simulate an ocean model in frequency space on the GPU, convert said model on an approximately frame-byframe basis to the spatial domain using the Fourier transform, and then read back the resulting heightfield to the CPU as input to the application’s physics engine. LÄS MER

  5. 4. Efficient multiple hypothesis tracking using a purely functional array language

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Marcus Nolkrantz; [2022]
    Nyckelord :multiple object tracking; multiple hypothesis tracking; tracking-by-detection; GPGPU; GPU code abstraction; functional programming; Futhark;

    Sammanfattning : An autonomous vehicle is a complex system that requires a good perception of the surrounding environment to operate safely. One part of that is multiple object tracking, which is an essential component in camera-based perception whose responsibility is to estimate object motion from a sequence of images. LÄS MER

  7. 5. Simulation of rain on a windshield : Creating a real-time effect using GPGPU computing

    Master-uppsats, Umeå universitet/Institutionen för fysik

    Författare :Katerina Koblik; [2021]
    Nyckelord :Rain simulation; Driving simulator; Particle system; Real-time; GPGPU; Compute shader; Render texture.;

    Sammanfattning : Modelling and rendering natural phenomena, such as rain, is an important aspect of creating a realistic driving simulator. Rain is a crucial issue when driving in the real world as it for instance obstructs the driver’s vision. LÄS MER