ARCS 2026: Open-Source Architectures: From RISC-V to AI Accelerators

39th GI/ITG International Conference on Architecture of Computing Systems (ARCS 2026)

The ARCS conferences series has over 38 years of tradition on reporting leading-edge research in computer architecture and operating systems. 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.

In addition to the main conference, ARCS 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 new professors, individual researchers, and consortia to present their research (5 page papers).

The proceedings of ARCS 2026 will be published in the Springer Lecture Notes on Computer Science (LNCS) series. A best paper will be elected by the Program Committee, and the Participants’ Favourite Presentation Award will be chosen by the audience.

Topics of Interest
Paper submission: Authors are invited to submit original,
unpublished research papers on one or more of the following topics:

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-memory and in-memory computing
* Memory and network compression technologies
* Organic Computing
* Pervasive systems
* Autonomous systems
* Approximate Computing
* Mixed-criticality systems
* Support for safety and security
* Hardware in the loop
* Optimization and performance analysis