Heterogeneous multi-cores and parallel architectures have recently gained much attention
owing to utilizing the strength of different architectures for offering higher performance. In this …

This study introduces a new method to enhance ADAS's safety and error prevention
capabilities in intelligent vehicles. We address the significant computational and memory …

Efficient scheduling is critical for achieving high performance in the multicore computing
environment. This paper focuses on the scheduling problem for the real-time applications in …

Heterogeneous architectures are vastly used in various high performance computing
systems from IoT‐based embedded architectures to edge and cloud systems. Although …

Abstract Self-Organizing Maps (SOMs) are extensively used for data clustering and
dimensionality reduction. However, if applications are to fully benefit from SOM based …

The trend for heterogeneous embedded systems is the integration of accelerators and
general-purpose CPU cores on the same die. In these integrated architectures, like the Zynq …

The late 1990s saw the rise of the edge computing network paradigm, as well as an
increase in the number of IoT de-vices. This concept is viewed as a link between cloud …

In this work, we study the problem of efficiently executing a state-of-the-art time series
algorithm class–SCAMP–on a heterogeneous platform comprised of CPU+ High …

Abstract Since 1973, Earliest Deadline First (EDF) uniprocessor scheduling has been known
to be superior to its Rate Monotonic (Fixed-Priority, FPS) counterpart for its capacity to …

Multicore systems integrated with hardware accelerators provide better performance for
executing real-time applications in time-critical fields, such as robots, avionics, and …