Wyniki wyszukiwania dla: PARALLEL PERFORMANCE - MOST Wiedzy

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Wyniki wyszukiwania dla: PARALLEL PERFORMANCE

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Wyniki wyszukiwania dla: PARALLEL PERFORMANCE

  • Parallel frequency tracking with built-in performance evaluation

    The problem of estimation of instantaneous frequency of a nonstationary complex sinusoid (cisoid) buried in wideband noise is considered. The proposed approach employs a bank of adaptive notch filters, extended with a nontrivial performance assessment mechanism which automatically chooses the best performing filter in the bank. Additionally, a computationally attractive method of implementing the bank is proposed. The new structure...

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  • Parallel Programming for Modern High Performance Computing Systems

    Publikacja

    - Rok 2018

    In view of the growing presence and popularity of multicore and manycore processors, accelerators, and coprocessors, as well as clusters using such computing devices, the development of efficient parallel applications has become a key challenge to be able to exploit the performance of such systems. This book covers the scope of parallel programming for modern high performance computing systems. It first discusses selected and...

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  • Performance evaluation of parallel background subtraction on GPU platforms

    Implementation of the background subtraction algorithm on parallel GPUs is presented. The algorithm processes video streams and extracts foreground pixels. The work focuses on optimizing parallel algorithm implementation by taking into account specific features of the GPU architecture, such as memory access, data transfers and work group organization. The algorithm is implemented in both OpenCL and CUDA. Various optimizations of...

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  • Performance Evaluation of the Parallel Codebook Algorithm for Background Subtraction in Video Stream

    A background subtraction algorithm based on the codebook approach was implemented on a multi-core processor in a parallel form, using the OpenMP system. The aim of the experiments was to evaluate performance of the multithreaded algorithm in processing video streams recorded from monitoring cameras, depending on a number of computer cores used, method of task scheduling, image resolution and degree of image content variability....

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  • Performance evaluation of the parallel object tracking algorithm employing the particle filter

    Publikacja

    - Rok 2016

    An algorithm based on particle filters is employed to track moving objects in video streams from fixed and non-fixed cameras. Particle weighting is based on color histograms computed in the iHLS color space. Particle computations are parallelized with CUDA framework. The algorithm was tested on various GPU devices: a desktop GPU card, a mobile chipset and two embedded GPU platforms. The processing speed depending on the number...