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Reconfigurable computing system for image processing via the internet

机译:可重新配置的计算系统,用于通过互联网进行图像处理

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In this paper, we present the results obtained inside the research line SIRVA of the project TRACER. We can summarize these results in two aspects. On the one hand, a client/server Internet system has been developed. This system provides services of image processing via web by means of algorithms implemented in reconfigurable circuits (FPGAs). In this way, we offer a platform open to the scientific community, through a well-prepared communication system, providing the reconfigurable computing advantages where these resources are not physically available. Furthermore, this platform allows the performance comparison between the software and hardware (FPGA) implementation of the same image processing operation. Therefore, users, via the Internet and from anywhere, can check in a practical way the performance improvement produced by the FPGA use (in fact, some of our FPGA-based implementations are even more than 139 times faster than the corresponding software implementation), redounding to a greater diffusion of the FPGA virtues. On the other hand, a web repository of artificial-vision problems has also been created with growing dimensions, including a complete description of each problem, hardware and software solutions, practical results and links of interest. This repository is open to any external collaboration, being very easy to extend it with the description of new artificial-vision problems or adding new languages to existent descriptions.
机译:在本文中,我们介绍了在TRACER项目的SIRVA研究线内获得的结果。我们可以从两个方面总结这些结果。一方面,已经开发了客户/服务器因特网系统。该系统借助可重构电路(FPGA)中实现的算法,通过Web提供图像处理服务。通过这种方式,我们通过精心准备的通信系统为科学界提供了开放的平台,在这些资源在物理上不可用的情况下提供了可重新配置的计算优势。此外,该平台允许在同一图像处理操作的软件和硬件(FPGA)实现之间进行性能比较。因此,用户可以通过Internet和任何地方以实用的方式检查FPGA使用带来的性能改进(实际上,我们某些基于FPGA的实现比相应的软件实现快139倍以上),进一步扩大了FPGA的优点。另一方面,还创建了一个人工视觉问题的网络存储库,其规模越来越大,包括对每个问题的完整描述,硬件和软件解决方案,实际结果以及感兴趣的链接。该存储库对任何外部协作都是开放的,可以很容易地通过描述新的人工视觉问题来扩展它,也可以在现有描述中添加新的语言。

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