Runtime verification for multicore SoC with high-quality trace data

Author:

Backasch Rico1,Hochberger Christian2,Weiss Alexander3,Leucker Martin4,Lasslop Richard5

Affiliation:

1. Dresden University of Technology

2. Technische Universität Darmstadt

3. Accemic

4. Institute for Software Engineering and Programming Languages University of Lübeck

5. Steinbichler Optotechnik GmbH

Abstract

Multicore System-on-Chip (SoC) implementations of embedded systems are becoming very popular. In these systems it is possible to spread out computations over many cores. On one hand this leads to better energy efficiency if clock frequencies and core voltages are reduced. On the other hand this delivers very high performance to the software developer and thus enables complex software systems to be implemented. Unfortunately, debugging and validation of these systems becomes extremely difficult. Various technological approaches try to solve this dilemma. In this contribution we will show a new approach to observe multi-core SoCs and make their internal operations visible to external analysis tools. Also, we show that runtime verification can be employed to analyze and validate these internal operations while the system operates in its normal environment. The combination of these two approaches delivers unprecedented options to the developer to understand and verify system behavior even in complex multicore SoCs.

Publisher

Association for Computing Machinery (ACM)

Subject

Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Computer Science Applications

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1. The Guardian Council;Proceedings of the Twenty-Fifth International Conference on Architectural Support for Programming Languages and Operating Systems;2020-03-09

2. A Hardware-assisted Heartbeat Mechanism for Fault Identification in Large-scale IoT Systems;IEEE Transactions on Dependable and Secure Computing;2020

3. DHOOM;Proceedings of the 56th Annual Design Automation Conference 2019;2019-06-02

4. Non-Intrusive In-Situ Requirements Monitoring of Embedded System;ACM Transactions on Design Automation of Electronic Systems;2018-10-18

5. Hardware-Based Online Self-Diagnosis for Faulty Device Identification in Large-Scale IoT Systems;2018 IEEE/ACM Third International Conference on Internet-of-Things Design and Implementation (IoTDI);2018-04

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