The booming of Convolutional Neural Networks (CNNs) has empowered lots of computer-
vision applications. Due to its stringent requirement for computing resources, substantial …

Federated scheduling is a promising approach to schedule parallel real-time tasks on multi-
cores, where each heavy task exclusively executes on a number of dedicated processors …

This paper discusses challenges in computer systems research posed by the emerging
autonomous driving systems. We first identify four research areas related to autonomous …

OpenVX is a recently ratified standard that was expressly proposed to facilitate the design of
computer-vision (CV) applications used in real-time embedded systems. Despite its real …

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 …

Heterogenerous multi-cores utilize the strength of different architectures for executing
particular types of workload, and usually offer higher performance and energy efficiency. In …

Heterogeneous multiprocessors can offer high performance at low energy expenditures.
However, to be able to use them in hard real-time systems, timing guarantees need to be …

Heterogeneous multi-core architectures achieve high performance and energy efficiency in
real-time domain towards various applications. Most real-time parallel applications on …

Heterogeneous multi-cores utilize the strength of different architectures for executing
particular types of workload, and usually offer higher performance and energy efficiency. In …

Artificial-intelligence (AI) techniques are revolutionizing modern safety-critical real-time
systems by enabling autonomous features never seen before. However, AI-based workloads …