Contribution to a conference proceedings/Contribution to a book

FZJ-2025-05008

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Supporting HPC Users with LLview

Guimarães, F. S. M. (Corresponding author)FZJ* ; Sankaran, A.FZJ* ; Frings, W.FZJ*

2025
Springer Heidelberg
ISBN: 978-3-032-07611-3 (print), 978-3-032-07612-0 (electronic)

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Please use a persistent id in citations: doi:10.1007/978-3-032-07612-0

Abstract: Diagnosing and reporting operational issues to optimise system usage and performance is challenging on large-scale HPC systems due to their sheer complexity. At the Jülich Supercomputing Centre (JSC), we address this challenge with LLview, an open-source system and job reporting framework. LLview provides near real-time metrics for analysis through a web portal with role-based access for users, administrators, and support staff. In this paper, we present a series of use cases demonstrating how LLview enables efficient diagnosis and resolution of system and application issues, enhancing both reactive and proactive support for HPC users.

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Contributing Institute(s):

1. Jülich Supercomputing Center (JSC)

Research Program(s):

1. 5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups (POF4-511) (POF4-511)
2. BMBF 01 1H1 6013, NRW 325 – 8.03 – 133340 - SiVeGCS (DB001492) (DB001492)
3. EUPEX - EUROPEAN PILOT FOR EXASCALE (101033975) (101033975)
4. ATMLAO - ATML Application Optimization and User Service Tools (ATMLAO) (ATMLAO)

Appears in the scientific report 2025

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