Year: 2020
Type: conference-paper
Abstract: As we approach the exascale era, the size and complexity of HPC systems continues to increase, raising concerns about their manageability and sustainability. For this reason, more and more HPC centers are experimenting with fine-grained monitoring coupled with Operational Data Analytics (ODA) to optimize efficiency and effectiveness of system operations. However, while monitoring is a common reality in HPC, there is no well-stated and comprehensive list of requirements, nor matching frameworks, to support holistic and online ODA. This leads to insular ad-hoc solutions, each addressing only specific aspects of the problem.
Authors: Alessio Netti, Micha Müller, Carla Guillen, Michael Ott, Daniele Tafani, Gence Ozer, Martin Schulz
Institutions: Leibniz Supercomputing Centre, Technical University of Munich
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Awards: G8025794148, G8169318509
OpenAlex ID: W2979639293