Analyzing HPC Support Tickets: Experience and Recommendations
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Abstract (arXiv)
High performance computing (HPC) user support teams are the first line of defense against large-scale problems, as they are often the first to learn of problems reported by users. Developing tools to better assist support teams in solving user problems and tracking issue trends is critical for maintaining system health. Our work examines the Los Alamos National Laboratory HPC Consult Team's user support ticketing system and develops proof of concept tools to automate tasks such as category assignment and similar ticket recommendation. We also generate new categories for reporting and discuss ideas to improve future ticketing systems.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 9 Oct 2020.
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Citing papers per year: 2021: 2; 2022: 1; 2023: 0; 2024: 0; 2025: 1.
4 papers.
- 2022TaDaa: real time Ticket Assignment Deep learning Auto Advisor for customer support, help desk, and issue ticketing systemscited by 7
- 2021A Semi-supervised Multi-task Learning Approach to Classify Customer Contact Intentscited by 1
- 2021Augmenting Customer Support with an NLP-based Receptionistcited by 0
- 2025Comparison of Information Retrieval Techniques Applied to IT Support Ticketscited by 0
- 2025Comparison of Information Retrieval Techniques Applied to IT Support Tickets29 Jul 2025
- 2022TaDaa: real time Ticket Assignment Deep learning Auto Advisor for customer support, help desk, and issue ticketing systems18 Jul 2022
- 2021Augmenting Customer Support with an NLP-based Receptionist3 Dec 2021
- 2021A Semi-supervised Multi-task Learning Approach to Classify Customer Contact Intents10 Jun 2021