The propagation of single-event effects (SEEs) on a Xilinx Zynq-7000 system on chip (SoC)
was investigated using heavy-ion microbeam radiation. The irradiation results reveal several …

Systolic array-based deep neural network (DNN) accelerators have recently gained
prominence for their low computational cost. However, their high energy consumption poses …

Approximate computing is known for enhancing deep neural network accelerators' energy
efficiency by introducing inexactness with a tolerable accuracy loss. However, small …

The emerging wireless Network-on-Chip (WiNoC) architectures are a viable solution for
addressing the scalability limitations of manycore architectures in which multi-hop long …

The high computing power of graphics processing units (GPUs) makes them attractive for
safety-critical applications, where reliability is a major concern. This article uses an …

Fault injection tools are commonly used in the early evaluation of microprocessor-based
systems. These tools are based on introducing faults into a system to evaluate its behavior …

A software technique based on approximate computing and redundancy is presented to
mitigate radiation-induced soft errors in COTS microprocessors. Approximate Computing …

Approximate Computing techniques have been successfully used to reduce the overhead
associated with redundancy in fault-tolerant system designs. This paper presents a fault …

Fault mitigation techniques based on pure software, known as software-implemented
hardware fault tolerance (SIHFT), are very attractive for use in COTS (commercial off-the …

In embedded systems, ARM processors are the market leaders, offering high-performance
computation, low power consumption, and low cost. As a result, there is a lot of excitement …