Reliability of Self-Driving Cars: When Can We Remove the Safety Driver?

Bjelica, Milan Z.; Mrazovac, Bojan

doi:10.1109/mits.2023.3244271

Cited by 6 publications

(1 citation statement)

References 13 publications

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“…Therefore, besides identifying hardware failures, it is imperative to incorporate faulttolerance mechanisms to enhance the reliability of the systolic array for matrix multiplication. Especially in applications such as healthcare, aviation, autonomous driving, underwater communication, etc., where system reliability is crucial, fault-tolerance mechanisms are indispensable [18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Highly Fault-Tolerant Systolic-Array-Based Matrix Multiplication

Lu,

Su,

Huang

2024

Electronics

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Matrix multiplication plays a crucial role in various engineering and scientific applications. Cannon’s algorithm, executed within two-dimensional systolic arrays, significantly enhances computational efficiency through parallel processing. However, as the matrix size increases, reliability issues become more prominent. Although the previous work has proposed a fault-tolerant mechanism, it is only suitable for scenarios with a limited number of faulty processing elements (PEs). This paper introduces a pair-matching mechanism, assigning a fault-free PE as a proxy for each faulty PE to execute its tasks. Our fault-tolerant mechanism comprises two stages: in the first stage, each fault-free PE completes its designated computations; in the second stage, computations intended for each faulty PE are executed by its assigned fault-free PE proxy. The experimental results demonstrate that compared to the previous work, our approach not only significantly improves the fault tolerance of systolic arrays (applicable to scenarios with a higher number of faulty PEs) but also reduces circuit areas. Therefore, the proposed approach proves effective in practical applications.

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Section: Introductionmentioning

confidence: 99%