7th ISC HPC International Workshop on “Monitoring, Observability, and Operational Data Analytics”

7th ISC HPC International Workshop on “Monitoring, Observability, and Operational Data Analytics”

Friday, June 26, 2026 9:00 AM to 1:00 PM · 4 hr. (Europe/Berlin)
Hall X11 - 1st Floor
Workshop
Digital Twins and MLHigh-Performance Data AnalyticsIntegration of Quantum Computing and HPCResource Management and SchedulingSystem and Performance Monitoring

Information

The Monitoring, Observability, and Operational Data Analytics (MODA) workshop aims to provide insight into the current state and trends in MODA, identify potential gaps, and offer an outlook into the future of the involved fields: high performance computing, databases, machine learning, monitoring for integrated Quantum-HPC systems, and solutions that contribute to the successful procurement and operation of next-generation systems. The focus of the MODA26 workshop is on challenges, solutions, and best practices for monitoring systems at HPC and data centers, as well as on effective strategies for analyzing and interpreting the collected operational data. This year’s iteration of MODA additionally puts a spotlight on observability and explainability of system behavior in a broader sense. The workshop is unique to the European HPC arena in addressing these topics. Through a balanced mix of a keynote address, peer-reviewed technical paper presentations, invited and lightning talks, MODA26 will establish a forum of discourse, exchange of ideas about current practices in HPC monitoring, logging, analysis, and debate on the usefulness and applicability of AI and ML techniques on collected operational data for observability, explainability, and optimization of the operation of production systems, as well as their digital twins, and the codesign of future HPC systems.
Organizers:
Format
on-site
Targeted Audience
A broad range of end-users, ranging from system administrators and operators to computer scientists, application developers, and computational scientists, working in academia, industry, and research laboratories.
Beginner Level
30%
Intermediate Level
35%
Advanced Level
35%