The rising use of deep learning and other big-data algorithms has led to an increasing
demand for hardware platforms that are computationally powerful, yet energy-efficient. Due …

Error injection has become critically important for testing the reliability of newly designed
hardware systems. Evaluating how a design under test (DUT) reacts to different error …

Where IP cores to be mapped must be carefully solved for any given application in order to
optimize different performance metrics in Network-on-Chip (NoC) design flow. The …

Nowadays, embedded systems have multiprocessing capabilities to meet the complexity of
modern applications, such as signal processing and multimedia. However, as the …

One of the challenging problems in networks‐on‐chip (NoC) design is optimising the
architectural structure of the on‐chip network in order to maximise the network performance …

Manycore architectures with thousands of processing tiles create interesting challenges to
maintain high processing speeds with satisfiable energy dissipation. One of these …

Electrical energy systems (EESs) include energy generation, distribution, storage, and
consumption, and involve many diverse components and sub-systems to implement these …

This paper proposes a novel optimization method that utilizes a multi-population parallel
genetic algorithm (GA) to simultaneously optimize the structure and system latency of …

Hydrogenated amorphous silicon‐selenium alloy thin films were prepared by the
decomposition of SiH4 and H2Se gas mixtures in a radio‐frequency plasma glow discharge …

Error injection has become critically important for testing the reliability of the hardware of any
system. Measuring how a design under test reacts to different error injection methodologies …