In mixed-criticality systems (MCSs), less-critical tasks are often terminated to ensure the correct execution of high critical tasks. This strategy could however lead to safety hazards, and largely reduce system functionality due to the absence of the discarded tasks. To overcome this problem, we introduce a high resilience and approximated computing framework for MCS, i.e., HIART-MCS. HIART-MCS introduces a novel processor which supports approximation at the hardware level. Associated with this, we also introduce a new intermediate system mode which allows less-critical tasks to be executed with reduced precision instead of being directly dropped out. Corresponding to the HIART-MCS, we further present a new theoretical model and schedulability analysis providing a timing guarantee for the system, followed by optimisations of the mode switch strategy. As demonstrated in both the theoretical and practical evaluations, HIART-MCS effectively improves the survivability of less-critical tasks with limited sacrifice of the critical tasks and negligible extra overhead. It is notable that HIART-MCS is the first practical framework for imprecise MCSs.

HIART-MCS: High Resilience and Approximated Computing Architecture for Imprecise Mixed-Criticality Systems

**Session chair:** Björn Brandenburg

- 25 min: [**(Outstanding Paper) Automatic Energy-Hotspot Detection and Elimination in Real-Time Deeply Embedded Systems**](https://conferences.computer.org/rtsspub/pdfs/RTSS2021-23beZleJJDdiozCiQ9rzXD/280200a097/280200a097.pdf), *Mohsen Shekarisaz, Lothar Thiele and Mehdi Kargahi*
- 25 min: [**HIART-MCS: High Resilience and Approximated Computing Architecture for Imprecise Mixed-Criticality Systems**](https://conferences.computer.org/rtsspub/pdfs/RTSS2021-23beZleJJDdiozCiQ9rzXD/280200a290/280200a290.pdf), *Zhe Jiang, Xiaotian Dai and Neil Audsley*
- 25 min: [**(Outstanding Paper) Speculative Execution and Timing Predictability in an Open Source RISC-V Core**](https://conferences.computer.org/rtsspub/pdfs/RTSS2021-23beZleJJDdiozCiQ9rzXD/280200a393/280200a393.pdf), *Alban Gruin, Thomas Carle, Hugues Cassé and Christine Rochange*
- 5 min: [**(WiP) Reinforcement Learning-based DAG Scheduling Algorithm in Clustered Many-Core Platform**](https://conferences.computer.org/rtsspub/pdfs/RTSS2021-23beZleJJDdiozCiQ9rzXD/280200a548/280200a548.pdf), *Atsushi Yano and Takuya Azumi*
- 5 min: [**(WiP) Models and tools to detect Real-Time Scheduling Anomalies**](https://conferences.computer.org/rtsspub/pdfs/RTSS2021-23beZleJJDdiozCiQ9rzXD/280200a540/280200a540.pdf), *Blandine Djika, Singhoff Frank, Alain Plantec and Georges Edouard Kouamou*
- 5 min: [**(WaP) Reconstruction of Traffic Flow Dynamics Data Obtained from Intelligent Real-Time Systems**](https://tu-dortmund.sciebo.de/s/TxjiW7c17QMw5WK), *Marina Yashina, Alexander Tatashev and Ivan Kuteynikov*
- 5 min: [**(WaP) Supporting Non-blocking Frame-Preemption in TSN Networks**](https://www.sciencedirect.com/science/article/pii/S1383762121000382), *Mohammad Ashjaei, Mikael Sjodin and Saad Mubeen*



1.12 - HW Support and Design + 4BPs

technical paper

 **RTSS 2021** has successfully concluded. Hope you have enjoyed it, and look forward to seeing you next year in person.
    Announcement for the Awards:
 * Best Paper Award goes to: Monte Carlo Response-Time Analysis, Sergey Bozhko, Georg von der Brüggen, and Björn Brandenburg
 * Best Student Paper Award goes to: Automatic Energy-Hotspot Detection and Elimination in Real-Time Deeply Embedded Systems, Mohsen Shekarisaz, Lothar Thiele, and Mehdi Kargahi.
 * Best Solution Award for Industry Session goes to: Toward Real-Time Guaranteed Scheduling for Autonomous Driving Systems. Jinghao Sun, Tianyi Wang, Kailu Duan, Bin Lu, Jiankang Ren, Zhishan Guo, and Guozhen Tan.



IEEE RTSS 2021

The IEEE Real-Time Systems Symposium (RTSS) is the premier conference in the field of real-time systems, and is a venue for researchers and practitioners to showcase innovations covering all aspects of real-time systems, including theory, design, analysis, implementation, evaluation, and experience. 

Neil Audsley

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HIART-MCS: High Resilience and Approximated Computing Architecture for Imprecise Mixed-Criticality Systems

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