ARCS 2017 - 30TH 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 2017 conference will be on Heterogeneous Node Architectures with Deep Memory Systems.
ARCS 2017 will be organized by the Complang Group at the Vienna University of Technology and the CAPP group at the Karlsruhe Institute of Technology (KIT).
LNCS
The proceedings of ARCS 2017 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Paper submission: Authors are invited to submit original, unpublished research papers on one or more of the following topics:
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.