HPC-ODA Workshop Accepted at SC26

Mar 19, 2026·
Michael Ott
Michael Ott
Woong Shin
Woong Shin
Natalie Bates
Natalie Bates
Melissa Romanus
Melissa Romanus
· 1 min read

We are pleased to announce that the 1st International Workshop on HPC Operational Data Analytics (HPC-ODA 2026) has been accepted at SC26, the International Conference for High Performance Computing, Networking, Storage, and Analysis, to be held in Chicago, IL.

This inaugural workshop represents a significant milestone for the HPC ODA community. Building on eight years of successful Birds-of-a-Feather sessions at SC and ISC, the workshop transitions to a peer-reviewed format, enabling deeper technical engagement and producing archival publications in the IEEE Xplore Digital Library as part of the SC26 workshop proceedings.

The workshop provides a dedicated venue for researchers, practitioners, operators, and tool developers working at the intersection of HPC systems, telemetry, monitoring, and analytics. Contributions are welcome from all segments of the HPC community, including those working on ODA infrastructure, data standardization, machine learning applications, digital twins, and operational use cases.

A Call for Papers with full submission guidelines and important dates will be published shortly. We look forward to sharing the workshop with the community.

Workshop SC26
Michael Ott
Authors
Michael Ott
Senior Research Engineer
Michael Ott is a senior research engineer in the Future Computing group at Leibniz Supercomputing Centre (LRZ)
Woong Shin
Authors
Woong Shin
Research Scientist
Woong Shin, Ph.D. is a Research Scientist at Oak Ridge National Laboratory (ORNL), specializing in high-performance computing (HPC), AI/ML applications, and energy-efficient supercomputing.
Natalie Bates
Authors
Natalie Bates
EE HPC WG Technical and Executive Lead
Natalie has been the technical and executive leader for EE HPC WG that disseminates best practices, shares information (peer to peer exchange), and takes collective action since its inception in 2010.
Melissa Romanus
Authors
Melissa Romanus
Data Management Engineer
Melissa Romanus is a data management engineer at the National Energy Research Scientific Computing Center (NERSC) at Lawrence Berkeley National Laboratory, where she is part of the Operations Technology Group. Her work focuses on the ingestion, collection, analysis, and visualization of real-time streaming operational and systems data in HPC data centers. Her research interests span operational data analytics, the architecture of large-scale data lakes, and automating scientific workloads on HPC systems.