Applied Reconfigurable Computing (ARC) is a cross-cutting field that spans several research and technology domains, offering solutions for systems that require enhanced computational efficiency, reduced latency, or adaptive hardware capability. These domains include artificial intelligence, high-performance computing, digital signal processing, communications, control, hardware security, among others.

The 22nd edition of the symposium aims to bring together researchers and practitioners of reconfigurable computing with an emphasis on practical applications of this technology.

The ARC 2026 proceedings will be published as a volume in Springer’s Lecture Notes in Computer Science (LNCS) series and will also be available through the SpringerLink online service.  

CALL FOR PAPERS

Authors are invited to submit original contributions in English including, but not limited to, the areas of interest mentioned below. 

Submission must be uploaded via EasyChair (https://easychair.org/my2/conference?conf=arc2026 ) .

Contributions must be prepared according to the accepted formats, as either 

•  Long Papers: (15 pages maximum excluding references) should include novel research supported by strong empirical results (oral presentation).

• Short Papers: (10 pages maximum excluding references) for work in progress or reporting recent developments (poster presentation).

The format of the paper should be compliant with the Springer-Verlag LNCS Series format rules (http://www.springer.com/comp/lncs/authors.html).
Submissions must be fully anonymous, but authors should not hide previous work, instead, they need to make self-references in the third person. 

IMPORTANT DATES

FINAL EXTENDED deadlines:

• Abstract deadline: 15 February 2026 8 February 2026

• Submission deadline: 22 February 2026 15 February 2026

• Decision notification: 11 March 2026 9 March 2026

• Author registration: 18 March 2026

• Camera-ready paper submission: 18 March 2026

TOPICS OF INTEREST

Design Methods & Tools

• EDA Tools & Algorithms

• High-level Languages & Compilation

• Design Space Exploration

• Run-Time Systems & Virtualization

• Profiling & Power Analysis

Applications

• AI-based Applications

• Online and Continual learning

• Generative AI

• Embedded Computing & DSP

• Robotics, Space, Bioinformatics & Automotive

• Security & Cryptography

• Big-Data & HPC

Architectures

• Self-adaptive, Evolvable/Adaptive Programmable SoCs

• Programmable-Logic-Optimized Soft-Core and Core Extensions

• Low-power Designs

• Computation in/near Memory

• Approximate Computing

• Fine-/Coarse-/Mixed-grained Designs

• Interconnects

• Real-Time & Mixed-Criticality Designs

• Resilient & Fault-Tolerant Designs 

WORKSHOPS

Accelerating Physical AI with Event-driven Reconfigurable Hardware for Neuromorphic Perception 

Perception is fundamental to living beings, enabling rapid understanding and adaptive action in dynamic, complex environments. Inspired by principles of biological perception, emerging neuromorphic sensors encode only meaningful environmental changes as asynchronous events, delivering extremely low latency and exceptional energy efficiency when paired with event-driven processors. Together, neuromorphic sensors and processors are ideally suited to empower physical AI systems, enabling autonomous machines to perceive, navigate, and interact with the physical world with the agility, precision, and responsiveness of living beings.

This workshop brings together researchers to explore how biological sensing informs neuromorphic perception and how reconfigurable hardware enables adaptive event-driven SoCs for irregular, sparse, and asynchronous neuromorphic workloads in next-generation physical AI systems. We invite contributions in two complementary directions: (1) baseline event-driven SoC architectures that enable rapid adaptation to application- and/or environment-specific perception tasks, and (2) advanced processing SoCs that advance the state-of-the-art in latency, energy efficiency, and responsiveness by exploiting event-based sensing—including vision, radar, audio, and touch—in physical AI applications. The first track is designed to foster scalable, collaborative advancement in this field, while the second highlights current state-of-the-art capabilities to raise awareness and encourage adoption of event-based SoCs. We expect to select four paper presentations to ensure balanced, comprehensive coverage of these topics.

Organized by Xabi Iturbe, IKERLAN 

Additional workshop proposals are welcome.

Special Session

The conference will host a special session on collaborative projects. 

For additional details, please contact the special session chairs.

COMMITTEE

General Chair

Paolo Meloni, University of Cagliari

Program Chairs

Gianluca Leone, University of Cagliari

Andrés Otero, Universidad Politecnica de Madrid 

Special Session Chairs:

Francesca Palumbo (University of Cagliari)

Claudio Rubattu (University of Sassari)