ARCS 2018 - 31st International Conference on Architecture of Computing Systems

The ARCS conferences series has over 30 years of tradition reporting leading edge research in computer architecture and operating systems. The focus of the 2018 conference will be on architectures for robotics, autonomous vehicles, and automation systems.
ARCS 2018 will be organized by the Chair for Chip Design for Embedded Computing (C3E) at TU Braunschweig.
LNCS
The proceedings of ARCS 2018 will be published in the Springer Lecture Notes on Computer Science (LNCS) series. After the conference, it is planned that the authors of selected papers will be invited to submit an extended version of their contribution for publication in a special issue of the Journal of Systems Architecture. Also, a best paper and best presentation award will be presented at the conference.
Call for Papers:
Paper submission: Authors are invited to submit original, unpublished research papers on one or more of the following topics:
Architectures
Multi-/many-core architectures, memory systems, and interconnection networks.
Generic and application-specific architectures such as reconfigurable systems in hardware and software
Cyber-physical systems and distributed computing architectures.
Robust and fault-tolerant systems structures.
Architectures for robotics, autonomous vehicles, and and automation systems.
Post-Moore Architectures, including but not limited to quantum and neuromorphic computing.
Programming Models and Runtime Environments
Programming models, runtime systems, and middleware support for many-core and/or heterogeneous computing platforms.
Operating Systems including but not limited to scheduling, memory management, power management, and RTOS.
Tool Environments
Design methods and tools for real-time embedded systems.
Tool support for performance optimization, debugging, and verification.
Cross-sectional Topics
Organic and Autonomic Computing including both theoretical and practical results on self-organization, self-configuration, self-optimization, self-healing, and self-protection techniques.
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.
Applications of embedded and cyber-physical systems.
Aotonomous and reasoning platforms.
High-performance computing.
Approximate computing.