Special Focus

The GI/ITG International Conference on Architecture of Computing Systems (ARCS) conferences series has over 38 years of tradition reporting leading edge research in computer architectures and operating systems. This year, the conference has a special focus on: "Open-Source Architectures: From RISC-V to AI Accelerators"

New chips are designed either as general-purpose devices with a wide user portfolio in mind, or target the needs of specific applications (e.g. machine learning pipelines for deep learning workloads, mobile or embedded systems). Accordingly, they might rely on well-established architectural approaches (CPU-like, vector extensions), or bring completely new disruptive ideas limiting energy consumption. In this landscape, ARCS stands out in hosting and presenting such concepts and ideas for versatile architectures. Nowadays, such architectures often include open-source solutions such as RISC-V or AI accelerators, which are drawing more and more attention in academia and industry. ARCS’26 aims to leverage this growing interest in such architectures to foster their development, performance, and dissemination. We welcome all contributions on hardware architectures, as well as their programming models, software stacks (operating systems, compilers...), their insertion into computing systems, and the challenges to port optimized code.

ARCS Tracks

In addition to the main conference topics, ARCS 2026 will host:

A special track on Organic Computing.
A special track on Dependability and Fault Tolerance.
A PhD forum to present the work of young doctoral students (10 page papers).
A Group forum for young professors, researchers, and consortia to present their research (5 page papers).

Topics of Interest

Hardware Architectures
Reconfigurable architectures
System-on-chip
Parallel and distributed systems
High-performance systems
Heterogeneous many-core architectures
Domain-specific accelerator architectures
Real-time and mixed-criticality systems
I/O and non-volatile memory
Energy-efficient architectures
Smart network technologies
RISC-V and open-source architectures
AI accelerators
Dependable and fault-tolerant architectures

Programming Models and Runtime Environments
Programming models for heterogeneous computing
Tools for power monitoring and performance analysis
Operating systems, algorithms, and data structures for heterogeneous architectures
Hypervisors and middleware for homogeneous and heterogeneous multi-/many-core computing platforms
System management including but not limited to scheduling, memory management, power/thermal management, and RTOS
Domain-specific languages and programming models
Architecture-specific code generation and optimization
Architectural simulation and emulation

Cross-sectional Topics
Near- and in-memory computing
Memory and network compression
Organic Computing
Pervasive systems
Autonomous systems
Approximate Computing
Support for safety and security
Hardware in the loop
Optimization and performance analysis