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Modeling of image processing algorithms for hardware-software co-simulation

机译:硬件-软件协同仿真的图像处理算法建模

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摘要

Implementation and verification of algorithms such as image processing algorithms via deploying into field programmable gate arrays can be time consuming and involves a lot of technical complexities. Modern digital systems are expanding in terms of size and design complexity which becomes even more complicated due to task division between hardware and software as well as design and verification teams. Therefore this project proposes to model image processing algorithm such as human skin detection algorithm for hardware-software co-simulation. The skin detection algorithm was first designed as pure software followed by software profiling process to identify the compute-intensive modules. This was followed by the design of hardware accelerators for the compute-intensive modules and hardware-software co-simulation of the whole system.The hardware which is designed using SystemVerilog and the software which is in c programming language communicate through direct programming interface(DPI-C). MATLAB is used as the golden reference model to verify the hardware-software co-simulation. The co-simulation and verification process is automated with the aid of the MATLAB engine. When the hardwares-oftware co-simulation was implemented a speed improvement of up to 2.5 times was obtained as compared to pure software implementation
机译:通过部署到现场可编程门阵列中来实施和验证算法(例如图像处理算法)可能很耗时,并且涉及许多技术复杂性。现代数字系统在规模和设计复杂性方面都在不断扩展,由于硬件和软件以及设计和验证团队之间的任务划分,该数字系统变得更加复杂。因此,该项目提出了对图像处理算法(例如人体皮肤检测算法)进行建模的软硬件协同仿真模型。皮肤检测算法最初设计为纯软件,然后进行软件配置过程以识别计算密集型模块。其次是用于计算密集型模块的硬件加速器的设计和整个系统的硬件-软件协同仿真。使用SystemVerilog设计的硬件和使用c编程语言的软件通过直接编程接口(DPI)进行通信-C)。 MATLAB被用作验证硬件-软件协同仿真的黄金参考模型。借助MATLAB引擎,协同仿真和验证过程实现了自动化。与纯软件实现相比,当实现硬件-软件协同仿真时,速度提高了2.5倍

著录项

  • 作者

    Isa Ibrahim;

  • 作者单位
  • 年度 2015
  • 总页数
  • 原文格式 PDF
  • 正文语种 en
  • 中图分类

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