- By:
- Maheshwari, Ketan C; Borch, Anderson; Webb, Jordan W; Etz, Brian D; Miller, Ross G; Suter, Frederic ; Oral, Hakki S; Ferreira Da Silva, Rafael
- Page Number:
- 2151-2160
- Book Title:
- SC Workshops '25: Proceedings of the SC '25 Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis
- Publication Date:
- March 12, 2026
- Conference Name:
- International Conference for High Performance Computing, Networking, Storage and Analysis (SC'26), Sixth Combined Workshop on Interactive and Urgent High-Performance Computing (WIUHPC)
- Conference Location:
- St. Louis, Missouri, United States of America
- Conference Sponsor:
- Association of Computing Machinery (ACM)
- View DOI Listing:
- https://doi.org/10.1145/3731599.3767474
Abstract
Scientific computing centers increasingly face workloads with diverse urgency requirements, driven by applications that demand rapid or even immediate execution. Appropriately configured scheduling policies can significantly improve both user satisfaction and overall cluster utilization. In this work, we present a systematic analysis of scheduler configurations under scenarios where a fraction of jobs have urgent computing needs. We evaluate multiple job scheduling simulators, develop a lightweight job-submission emulation framework, and create tools to analyze and visualize the resulting scheduling data. Our study identifies key trade-offs between responsiveness, fairness, and efficiency, and offers a set of practical scheduling configurations (particularly for Slurm) that can be tailored to HPC environments supporting mixed-urgency workloads.
