Multi-/many-core architectures, memory systems, and interconnection networks.

Programming models, runtime systems, and middleware support for many-core and/or heterogeneous computing platforms.

Tool support for performance optimization, debugging, and verification.

Generic and application-specific architectures such as reconfigurable systems in hardware and software

Robust and fault-tolerant systems structures.

Architectures and design methods/tools for real-time embedded systems.

Cyber-physical systems and distributed computing architectures.

Organic and Autonomic Computing including both theoretical and practical results on self-organization, self-configuration, self-optimization, self-healing, and self-protection techniques.

Operating Systems including but not limited to scheduling, memory management, power management, and RTOS.

Energy and power-aware computing, including green computing topics.

System aspects of ubiquitous and pervasive computing such as sensor nodes, novel input/output devices, novel computing platforms, architecture modeling, and middleware.

Architectures for robotics and automation systems.

Applications of embedded and cyber-physical systems.

High-performance computing.

Approximate computing.

Post-Moore Architectures, including but not limited to quantum and neuromorphic computing.