Guest Editor(s)
Dr. Sergio Spanò
Email: spano@ing.uniroma2.it
Affiliation: Department of Electronic Engineering, Tor Vergata University of Rome, Rome, Italy
Homepage:
Research Interests: artificial intelligence, digital hardware acceleration, embedded systems & IoT, digital signal processing, high performance computing, digital telecommunications systems
Summary
Non-functional constraints such as execution time, memory availability, and energy consumption pose significant challenges for designers working on edge systems. Emerging applications increasingly integrate diverse functionalities into everyday objects, introducing additional demands that edge system designers must address:
· Growing computational workloads, including the processing and fusion of data from multiple sensors, often leveraging advanced machine learning techniques;
· Lower power consumption requirements, enabling the use of smaller batteries and renewable energy sources;
· Faster interaction with the surrounding environment, which requires high-performance data processing frequently achieved through hardware acceleration.
For instance, in Internet of Things scenarios, the physical size and power consumption of edge systems are critical considerations. Nevertheless, the push toward compact designs does not reduce the demand for enhanced functionality and higher processing speeds. At the same time, there is a rising need for powerful edge platforms capable of managing large networks of connected devices while executing complex algorithms such as sensor fusion, feedback control, and machine learning. Consequently, developers must understand edge system architectures and adopt effective strategies to fully exploit their performance potential, along with general edge design methodologies.
This Special Issue welcomes original research articles, case studies, and review papers focusing on the design and application of high-performance digital edge systems.
Relevant topics include, but are not limited to:
· Low-power IoT applications;
· Edge-based FPGA and SoC implementations;
· Edge-oriented ASIC designs;
· Machine learning at the edge;
· Efficient data processing algorithms.
Keywords
edge computing, digital hardware acceleration, internet of things, digital signal processing, high-performance computing, digital telecommunications systems
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