[hpc-announce] [Call for Participation] 3rd ISC HPC International Workshop on "Monitoring & Operational Data Analytics" (MODA) - June 02, 2022

Thomas Jakobsche thomas.jakobsche at unibas.ch
Fri May 13 02:26:02 CDT 2022

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

3rd ISC HPC International Workshop on Monitoring & Operational Data Analytics (MODA22)
June 02, 2022, Hamburg, Germany
Website: moda.dmi.unibas.ch
Twitter: https://twitter.com/moda_hpc (@moda_hpc)

Following very successful previous editions initiated at ISC HPC, we are inviting participants to the 3rd ISC HPC International Workshop on Monitoring and Operational Data Analytics (MODA22). The goal of the MODA workshop series is to provide a venue for sharing insight into current trends in MODA, to identify potential gaps, and offer an outlook into the future of the involved fields: high performance computing, databases, machine learning, and possible solutions that can contribute to the design and procurement of upcoming Exascale systems.

=== Goals

While MODA is already a common practice at various HPC sites, each site adopts a different, insular approach, not always 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 the closing of the feedback loop between the monitored HPC system, its operation, and its end-users. Under these premises, the goals of the MODA22 workshop can then be summarized in the following way:

(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 HPC sites 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 (e.g., for practices such as predictive maintenance, runtime optimization, optimal resource allocation and scheduling).

=== Program (All times are CEST)

09:00 - 09:10    Introduction

09:10 - 09:50    Keynote presentation: Deploying and Managing the LUMI Supercomputer, Sustainably
Pekka Manninen, LUMI Leadership Computing Facility, Finland

09:50 - 10:00    Keynote Q&A

10:00 - 10:30    Paper presentation: Rule-based Thermal Anomaly Detection for Tier-0 HPC Systems
Mohsen Seyedkazemi Ardebili, Andrea Bartolini, Andrea Acquaviva and Luca Benini

10:30 - 11:00    Invited talk: A Conceptual Framework for HPC Operational Data Analytics
Michael Ott, Leibniz Supercomputing Centre, Germany

11:00 - 11:30    Coffee break

11:30 - 12:00    Paper presentation: Wholistic and Physics-Based Data Center Monitoring
Hilary Egan, Avi Purkayastha and David Sickinger

12:00 - 12:30    Invited talk: Opportunities & Challenges with Quantitative Codesign
Terry Jones, Oak Ridge National Laboratory, USA

12:30 - 12:55    Panel / Participant Discussion: Recent Developments in MODA

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 June 02, 2022 in Hamburg, Germany.

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