Sökning: "OpenCL"

Visar resultat 1 - 5 av 53 uppsatser innehållade ordet OpenCL.

  1. 1. Benchmarking linear-algebra algorithms on CPU- and FPGA-based platforms

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

    Författare :Omar Askar Vergara; Karl Törnblom Bartholf; [2023]
    Nyckelord :FPGA; OpenCL; PolyBench; Cholesky; Durbin;

    Sammanfattning : Moore’s law is the main driving factor behind the rapid evolution of computers that has been observed in the past 50 years. Though the law is soon ending due to heat- and sizing-related issues. One solution to continuing the evolution is utilizing alternative computer hardware, where parallel hardware is especially interesting. LÄS MER

  3. 2. Modernizing and Evaluating the Autotuning Framework of SkePU 3

    Kandidat-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Basel Nsralla; [2022]
    Nyckelord :SkePU; Autotuning; Parallel Computing; Multicore; OpenCL; OpenMP;

    Sammanfattning : Autotuning is a method which enables a program to automatically choose the most suitable parameters that optimizes it for a certain goal e.g. speed, cost, etc. LÄS MER

  4. 3. Integrating SkePU's algorithmic skeletons with GPI on a cluster

    Master-uppsats, Linköpings universitet/Programvara och system

    Författare :Joel Almqvist; [2022]
    Nyckelord :SlePU; cluster; GPI; MPI; OpenMP; parallel programming; HPC; algorithmic skeletons; distributed computing; SkePU; kluster; GPI; MPI; OpenMP; parallellprogrammering; HPC; algoritmiska skelett;

    Sammanfattning : As processors' clock-speed flattened out in the early 2000s, multi-core processors became more prevalent and so did parallel programming. However this programming paradigm introduces additional complexities, and to combat this, the SkePU framework was created. LÄS MER

  5. 4. Convolutional Neural Network FPGA-accelerator on Intel DE10-Standard FPGA

    Master-uppsats, Linköpings universitet/Elektroniska Kretsar och System

    Författare :Yue Tianxu; [2021]
    Nyckelord :Convolutional Neural Network; FPGA-accelerator;

    Sammanfattning : Convolutional neural networks (CNNs) have been extensively used in many aspects, such as face and speech recognition, image searching and classification, and automatic drive. Hence, CNN accelerators have become a trending research. Generally, Graphics processing units (GPUs) are widely applied in CNNaccelerators. LÄS MER

  7. 5. Automatic GPU optimization through higher-order functions in functional languages

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

    Författare :John Wikman; [2020]
    Nyckelord :;

    Sammanfattning : Over recent years, graphics processing units (GPUs) have become popular devices to use in procedures that exhibit data-parallelism. Due to high parallel capability, running procedures on a GPU can result in an execution time speedup ranging from a couple times faster to several orders of magnitude faster, compared to executing serially on a central processing unit (CPU). LÄS MER