PyXEL:探索位流分析以评估和增强fpga设计的稳健性

C. D. Sio, S. Azimi, L. Sterpone, D. M. Codinachs, F. Decuzzi
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引用次数: 1

摘要

商用硬件可重构的片上系统对于航天和汽车工业中的关键任务应用具有很高的吸引力。然而,它们对软错误的脆弱性是一个主要问题,并且由于缺乏可用的专用工具、信息和方法,分析这些系统的健壮性是一项复杂的任务。PyXEL是一个旨在解决这些问题的工具,它提供了基于辐射和故障注入活动的自动化可靠性分析方法,并促进了基于定制位置和路线的缓解解决方案的开发。此外,PyXEL提供了可视化、解码和分析可编程硬件设备配置数据的方法,从而能够更精确、更有效地评估和分析在可编程硬件设备上实现的系统的健壮性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PyXEL: Exploring Bitstream Analysis to Assess and Enhance the Robustness of Designs on FPGAs
Commercial hardware-reconfigurable systems-on-chip are highly attractive for mission-critical applications in the space and automotive industries. However, their vulnerability to soft errors is a major concern, and analyzing the robustness of these systems is a complex task due to the lack of dedicated tools, information, and methodologies available. PyXEL is a tool designed to address these issues, providing the methodology for automating reliability analysis based on radiation and fault injection campaigns and facilitating the development of mitigation solutions based on customized place-and-route. Furthermore, PyXEL offers the methodology for visualizing, decoding, and analyzing the configuration data of programmable hardware devices, enabling more precise and efficient evaluation and analysis of the robustness of systems implemented on programmable hardware devices.
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