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