Machine learning inference is increasingly being executed locally on mobile and embedded
platforms, due to the clear advantages in latency, privacy and connectivity. In this paper, we …

Managing Multi-Processor Systems-on-Chip (MPSoCs) is becoming increasingly complex
as demands for advanced capabilities rise. This complexity is due to the involvement of …

Cross-layer runtime management (RTM) frameworks for embedded systems provide a set of
standard application programming interfaces (APIs) for communication between different …

Today, the demand of adaptive systems is constantly growing, especially in hard-
constrained contexts such as Cyber-Physical Systems. However, the efficient management …

Robots can be used to deal with hazardous materials like nuclear waste. Unfortunately,
electronic components are also susceptible to radiation effects. Current proposals to tackle …

Multi-core and heterogeneous processors in modern embedded platforms have increased in
complexity to provide both high-performance and energy-efficient execution of applications …

In contexts such as embedded and cyber-physical systems, the design of a desired
functionality under constraints increasingly requires a parallel execution of different tasks on …