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首页> 外文期刊>Fusion Engineering and Design >Methodology for the implementation of real-time image processing systems using FPGAs and GPUs and their integration in EPICS using Nominal Device Support
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Methodology for the implementation of real-time image processing systems using FPGAs and GPUs and their integration in EPICS using Nominal Device Support

机译：使用FPGA和GPU实施实时图像处理系统以及使用标称设备支持将其集成到EPICS中的方法

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摘要

There is an increasing interest to improve the processing capabilities for imaging diagnostics in fusion devices. Furthermore, the continuous upgrades of the hardware systems used in these tasks require a flexible platform that obtains the maximum performance of these technologies: cameras, frame-grabbers, and parallel processing architectures using FPGAs, GPUs, and multicore CPUs. This work presents a methodology for the development of real-time image processing applications using the ITER CODAC Core System (CCS) software tools and the hardware configuration defined in the ITER fast controllers hardware catalog, by means of Camera Link cameras, Camera Link FPGA-based frame-grabbers, and NVIDIA GPUs. The integration with EPICS is provided using the Nominal Device Support approach and the IRIO tools integrated into CCS. This device support provides complete control of the camera configuration parameters, distribution of the image processing functions between the FPGA and the GPU, and efficient movement of the data between the different elements of the architecture. To validate the full development cycle, an EPICS application has been developed implementing different algorithms frequently used in fusion applications such as histogram, detection of levels, and classification of zones within an image. Results of the performance obtained are presented highlighting the differences among various configurations running the selected algorithms.
机译：人们越来越有兴趣改善融合设备中成像诊断的处理能力。此外，在这些任务中使用的硬件系统的不断升级需要一个灵活的平台，该平台才能获得这些技术的最高性能：相机，抓帧器以及使用FPGA，GPU和多核CPU的并行处理架构。这项工作介绍了一种使用ITER CODAC核心系统（CCS）软件工具以及ITER快速控制器硬件目录中定义的硬件配置，通过Camera Link摄像机，Camera Link FPGA-开发实时图像处理应用程序的方法。基础的抓帧器和NVIDIA GPU。使用标称设备支持方法和集成到CCS中的IRIO工具提供与EPICS的集成。该设备支持可完全控制相机配置参数，在FPGA和GPU之间分配图像处理功能，并在架构的不同元素之间高效地移动数据。为了验证整个开发周期，已经开发了EPICS应用程序，该应用程序实现了融合应用程序中经常使用的各种算法，例如直方图，级别检测和图像内区域分类。给出了获得的性能结果，突出显示了运行所选算法的各种配置之间的差异。

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