short-paper

An LPDDR4 Safety Model for Automotive Applications

Authors:

Michael Huonker,

Norbert WehnAuthors Info & Claims

MEMSYS '21: Proceedings of the International Symposium on Memory Systems

Article No.: 12, Pages 1 - 9

https://doi.org/10.1145/3488423.3519333

Published: 09 May 2022 Publication History

Abstract

The increasing demand for DRAM in modern vehicles creates new challenges for automobile manufacturers. To allow DRAM subsystems to be used in safety-critical tasks like autonomous driving, a special Automotive Safety Integrity Level (ASIL) grading according to the ISO 26262 is required. While the classification process is already well-established for processors and on-chip memories with dedicated automotive hardware introduced to the market, no similar research has been conducted for DRAM yet. As a consequence, the process proves to be difficult for car manufacturers at this point. Therefore, a methodology that captures all the DRAM subsystem complexity in a comprehensive but yet understandable way is required. In this paper we use Component Fault Trees to create a clearly-structured safety model of an exemplary LPDDR4 memory subsystem. Based on the proposed model, we also evaluate the ASIL that it can reach. For the automotive industry, our work can serve as a foundation for future classification processes, therefore taking one more step towards full autonomy.

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Cited By

Carbonelli CFelderer MJung MLobe ELochau MLuber SMauerer WRamler RSchaefer ISchroth C(2024)Challenges for Quantum Software Engineering: An Industrial Application Scenario PerspectiveQuantum Software10.1007/978-3-031-64136-7_12(311-335)Online publication date: 23-Aug-2024
https://doi.org/10.1007/978-3-031-64136-7_12
Buch S(2023)Error Detecting and Correcting Codes for DRAM Functional SafetyProceedings of the International Symposium on Memory Systems10.1145/3631882.3631888(1-5)Online publication date: 2-Oct-2023
https://dl.acm.org/doi/10.1145/3631882.3631888
Uecker DJung M(2022)Split’n’Cover: ISO 26262 Hardware Safety Analysis with SystemCEmbedded Computer Systems: Architectures, Modeling, and Simulation10.1007/978-3-031-15074-6_5(74-89)Online publication date: 3-Jul-2022
https://dl.acm.org/doi/10.1007/978-3-031-15074-6_5

Index Terms

An LPDDR4 Safety Model for Automotive Applications
1. Computer systems organization
  1. Dependable and fault-tolerant systems and networks
    1. Processors and memory architectures
    2. Reliability
2. Hardware

Index terms have been assigned to the content through auto-classification.

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MEMSYS '21: Proceedings of the International Symposium on Memory Systems

September 2021

158 pages

ISBN:9781450385701

DOI:10.1145/3488423

Copyright © 2021 ACM.

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Published: 09 May 2022

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MEMSYS 2021: The International Symposium on Memory Systems

September 27 - 30, 2021

DC, Washington DC, USA

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Cited By

Carbonelli CFelderer MJung MLobe ELochau MLuber SMauerer WRamler RSchaefer ISchroth C(2024)Challenges for Quantum Software Engineering: An Industrial Application Scenario PerspectiveQuantum Software10.1007/978-3-031-64136-7_12(311-335)Online publication date: 23-Aug-2024
https://doi.org/10.1007/978-3-031-64136-7_12
Buch S(2023)Error Detecting and Correcting Codes for DRAM Functional SafetyProceedings of the International Symposium on Memory Systems10.1145/3631882.3631888(1-5)Online publication date: 2-Oct-2023
https://dl.acm.org/doi/10.1145/3631882.3631888
Uecker DJung M(2022)Split’n’Cover: ISO 26262 Hardware Safety Analysis with SystemCEmbedded Computer Systems: Architectures, Modeling, and Simulation10.1007/978-3-031-15074-6_5(74-89)Online publication date: 3-Jul-2022
https://dl.acm.org/doi/10.1007/978-3-031-15074-6_5

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