About us

The Monitoring, Observability, and Operational Data Analytics Workshop (MODA26) invites original contributions on monitoring and analyzing operational data in High Performance Computing (HPC) systems and data centers. We welcome submissions on ways to collect, store, visualize, interpret, and leverage large-scale system data, as well as the use of machine learning and AI techniques to enable proactive system control and optimization. New this year, the workshop explicitly invites contributions on observability and explainability of HPC system behavior.

Important Dates

Mon, Mar 30, 2026
Paper Submission (extended)
Sun, Apr 19, 2026
Author Notification
Tue, May 26, 2026
Camera-ready
Fri, Jun 26, 2026
MODA26 Workshop

Call For Paper

Monitoring
Hpc
Moda
Operational data analytics
Collecting and analyzing operational data in HPC and data centers at scale
State-of-the-practice monitoring tools, methods, and techniques
AI/ML approaches to understand system behavior and improve operations
Critical evaluations of AI/ML approaches to ensure practical improvements for MODA
Integrating MODA into system software, runtime environments, and resource management
Solutions to increase observability and explainability of HPC systems
Data-driven strategies for predictive maintenance, scheduling, and energy optimization
Guidelines, tools, and best practices for energy efficiency and reporting
Approaches to ensure FAIR data practices, compliance, and trusted multitenancy
Successful real-world MODA deployments, case studies, and work-in-progress
Integration of monitoring and analysis for Quantum Computing and HPC
Monitoring, Observability, and Operational Data Analytics as drivers for digital twins of supercomputers

The Monitoring, Observability, and Operational Data Analytics Workshop (MODA26) invites original contributions on monitoring and analyzing operational data in High Performance Computing (HPC) systems and data centers. All papers submitted to MODA26 must be original and not simultaneously submitted to another venue. Maximum 1 page for lightning talk abstracts, between 6 and 12 pages for full papers.

Committee

Workshop Organizers

Thomas Jakobsche

University of Basel, Switzerland

Matthias Maiterth

NVIDIA, US

Steering Board

Florina Ciorba

University of Basel, Switzerland

Utz-Uwe Haus

HPE EMEA Research Lab, Switzerland

Martin Schulz

Technische Universität München, Germany