嵌入式高性能计算平台上基于软件的ASIL-D汽车应用的多种冗余

2020 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT) Pub Date : 2020-10-19 DOI:10.1109/DFT50435.2020.9250750

S. Alcaide, Leonidas Kosmidis, Carles Hernández, J. Abella

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引用次数: 11

摘要

高性能计算(HPC)平台成为汽车系统中实现自动驾驶的必需品。然而，正如ISO26262汽车安全标准所指出的那样，汽车平台必须避免共因故障(CCFs)。ccf可以避免强制各种冗余。不幸的是，HPC平台无法提供这样的支持。本文提出了一种在高性能计算平台上实现多种冗余的灵活高效的软件方案。在商用现成的ARM多核上的软件实现证明了该方案在保证多种冗余的同时可以忽略性能下降的有效性。我们的解决方案是迈向与汽车兼容的高性能计算平台的第一步。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Software-only based Diverse Redundancy for ASIL-D Automotive Applications on Embedded HPC Platforms

High-Performance Computing (HPC) platforms become a must in automotive systems to enable autonomous driving. However, automotive platforms must avoid Common Cause Failures (CCFs), as indicated by the ISO26262 automotive safety standard. CCFs can be avoided enforcing diverse redundancy. Unfortunately, HPC platforms fail to provide such support. This paper proposes a flexible and efficient software-based scheme to implement diverse redundancy on HPC platforms. A software implementation on a Commercial Off-The-Shelf ARM multicore proves the effectiveness of this scheme to guarantee diverse redundancy with negligible performance degradation. Our solution is the first step towards an automotive-compliant HPC platform.

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2020 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT)

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