Guest Editorial: Special Issue on Reconfigurable Computing and FPGA Technology

Cumplido, René; Gokhale, Maya; Feregrino, Claudia; Huebner, M.

doi:10.1016/j.jpdc.2019.07.012

Cited by 3 publications

(1 citation statement)

References 27 publications

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“…This requirement can be implemented based on multi-chip reconfigurable computing systems created based on the use of programmable logic integrated circuits. Such computing systems can adapt to the structure of the problem being solved and provide the implementation of complex multi-level parallel algorithms [25][26][27][28][29][30][31].…”

Section: Discussionmentioning

confidence: 99%

Parallel Computational Algorithm for Object-Oriented Modeling of Manipulation Robots

et al. 2021

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An algorithm for parallel calculations in a dynamic model of manipulation robots obtained by the Lagrange–Euler method is developed. Independent components were identified in the structure of the dynamic model by its decomposition. Using the technology of object-oriented programming, classes corresponding to the structures of the selected components of the dynamic model were described. The algorithmization of parallel computing is based on the independence of the calculation of objects of individual classes and the sequence of matrix operations. The estimation of the execution time of parallel algorithms, the resulting acceleration, and the efficiency of using processors is given.

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Section: Discussionmentioning

confidence: 99%

Parallel Computational Algorithm for Object-Oriented Modeling of Manipulation Robots

et al. 2021

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Hardware Acceleration of Image and Video Processing on Xilinx Zynq Platform

Babu¹,

Parthasarathy²

2021

Intelligent Automation &Amp; Soft Computing

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Object Detection Using Adaptive Block Partition and RCNN Algorithm

R. Ajay Krishnaraju,

J. Poovarasan,

S. Santhies Kumar

et al. 2023

IJSRST

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Advancements in image and video processing are growing over the years for industrial robots, autonomous vehicles, cryptography, surveillance, medical imaging and computer-human interaction applications. One of the major challenges in real-time image and video processing is the execution of complex functions and high computational tasks. To overcome this issue, a hardware acceleration of different filter algorithms for both image and video processing is implemented on Xilinx Zynq®-7000 System on-Chip (SoC) device consists of Dual-core Cortex™-A9 processors which provides computing ability to perform with the help of software libraries using Vivado® High-Level Synthesis (HLS). The acceleration of object detection algorithms include Sobel-Feldman filter, posterize and threshold filter algorithms implemented with 1920 x 1080 image resolutions for real-time object detection. The implementation results exhibit effective resource utilization such as 45.6% of logic cells, 51% of Look-up tables (LUTs), 29.47% of Flipflops, 15% of Block RAMs and 23.63% of DSP slices under 100 MHz frequency on comparing with previous works. There are a few reasons why tracking is preferable over detecting objects in each frame. Tracking facilitates in identifying the identity of various items across frames when there are several objects. Object detection may fail in some instances, but tracking may still be achievable which takes into account the location and appearance of the object in the previous frame. The key hurdles in real-time image and video processing applications are object tracking and motion detection. Some tracking algorithms are extremely fast because they perform a local search rather than a global search. Tracking algorithms such as meanshift, Regional Neural Network probabilistic data association, particle filter, nearest neighbor, Kalman filter and interactive multiple model (IMM) are available to estimate and predict the state of a system.

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Guest Editorial: Special Issue on Reconfigurable Computing and FPGA Technology

Cited by 3 publications

References 27 publications

Parallel Computational Algorithm for Object-Oriented Modeling of Manipulation Robots

Parallel Computational Algorithm for Object-Oriented Modeling of Manipulation Robots

Hardware Acceleration of Image and Video Processing on Xilinx Zynq Platform

Object Detection Using Adaptive Block Partition and RCNN Algorithm

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