[hpc-announce] [Call for Participation] 4th ISC HPC International Workshop on Monitoring & Operational Data Analytics (MODA23) - May 25, 2023

[Thomas Jakobsche]

[We apologize if you receive multiple copies of this email.]

4th ISC HPC International Workshop on Monitoring & Operational Data Analytics (MODA23)
May 25, 2023, Hamburg, Germany
Website: moda.dmi.unibas.ch
Twitter: https://twitter.com/moda_hpc (@moda_hpc)

Following the successful previous editions initiated at ISC HPC, we are inviting participants to the 4th ISC HPC International Workshop on Monitoring and Operational Data Analytics (MODA23). The goal of the MODA workshop series is to provide a venue for sharing insight into current trends in MODA, identify potential gaps, and offer an outlook into the future of the involved fields: high performance computing, databases, machine learning, and solutions that can contribute to the design and procurement of upcoming Exascale systems.

=== Goals

While MODA is already a common practice at various HPC and data centers, each site adopts a different, insular approach, rarely adopted in production environments, and mostly limited to the visualization of the system and building infrastructure metrics for health check purposes. In this regard, we observe a gap between the collection of operational data and its meaningful and effective analysis and exploitation, which prevents closing the feedback loop between the monitored HPC and data processing system, its operation, and its end-users. 

Under the above premises, the goals of the MODA 2023 workshop are:
(1) Gather and share knowledge and establish a common ground within the international community with respect to best practices in monitoring and operational data analytics.
(2) Discuss future strategies and alternatives for MODA, potentially improving existing solutions and envisioning a common baseline approach in computing and data centers.
(3) Establish a debate on the usefulness and applicability of AI/ML techniques on collected operational data for optimizing the operation of production systems (for practices such as predictive maintenance, runtime optimization, optimal and adaptive resource allocation and scheduling).

=== Program (All times are CEST)

09:00-09:10     Introduction

09:10-10:00     Keynote presentation: Monitoring and anomaly detection in CINECA’s supercomputing facility, Daniele Cesarini (CINECA, Italy)

10:00-10:30     Paper presentation: Automatic Detection of HPC Job Inefficiencies at TU Dresden’s HPC center with PIKA, Frank Winkler and Andreas Knüpfer (TU Dresden, Germany)

10:30-11:00     Paper presentation: A Fast Simulator to Enable HPC Scheduling Strategy Comparisons, Alex Wilkinson (UCL, United Kingdom), Jess Jones, Harvey Richardson, Tim Dykes and Utz-Uwe Haus (HPE, United Kingdom)

11:00-11:30     Coffee break

11:30-12:00     Invited talk: Current and Future Monitoring at GWDG to Ensure Performant and Secure Operation, Hendrik Nolte (GWDG Göttingen, Germany)

12:00-12:30     Paper presentation: ML-based methodology for HPC facilities supervision, Laetitia Anton, Sophie Willemot, Sebastien Gougeaud (CEA, France) and Soraya Zertal (Univ of Versailles, France)

12:30-12:55     Panel / participant discussion: MODA as the foundational component of data center digital twins, Utz-Uwe Haus (HPE, Switzerland)

12:55-13:00     Closing

=== Workshop Organizers 

* Florina Ciorba – University of Basel, Switzerland
* Utz-Uwe Haus – HPE EMEA Research Lab, Switzerland
* Nicolas Lachiche  – University of Strasbourg, France
* Martin Schulz – Technische Universität München, Germany

=== Publicity Chair

* Thomas Jakobsche – University of Basel, Switzerland

We are looking forward to your participation and to seeing you in person on May 25, 2023 in Hamburg, Germany.