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  1. Chapter

    Dependable Software Generation and Execution on Embedded Systems

    For generating and executing dependable software, the effects of hardware layer faults at the software layer have to be accurately analyzed and modeled. This requires relevant information from the hardware and...

    Florian Kriebel, Kuan-Hsun Chen, Semeen Rehman, Jörg Henkel in Dependable Embedded Systems (2021)

  2. Chapter

    Robust Computing for Machine Learning-Based Systems

    The drive for automation and constant monitoring has led to rapid development in the field of Machine Learning (ML). The high accuracy offered by the state-of-the-art ML algorithms like Deep Neural Networks (D...

    Muhammad Abdullah Hanif, Faiq Khalid in Dependable Embedded Systems (2021)

  3. Chapter

    Power-Aware Fault-Tolerance for Embedded Systems

    Power-constrained fault-tolerance has emerged as a key challenge in the deep sub-micron technology. Multi-/many-core chips can support different hardening modes considering variants of redundant multithreading (R...

    Mohammad Salehi, Florian Kriebel, Semeen Rehman in Dependable Embedded Systems (2021)

  4. Chapter

    Fault-Tolerant Computing with Heterogeneous Hardening Modes

    Fault-tolerance using (full-scale) redundancy-based techniques has been employed to detect and correct reliability errors (i.e., soft errors), but they pose significant area and power overhead. On the other ha...

    Florian Kriebel, Faiq Khalid, Bharath Srinivas Prabakaran in Dependable Embedded Systems (2021)