Abstract
There are two sources of inaccuracy when simulating parallel and distributed computing systems: (i) a simulator implemented at an insufficient level of detail; and (ii) incorrectly calibrated simulation parameter values. Increasing the simulator’s level of detail can improve accuracy, but at the cost of higher space, time, and/or software complexity. Furthermore, evaluating the intrinsic accuracy of a simulator requires that its parameters be well-calibrated. Making decisions regarding the level of detail is thus challenging. We propose a methodology for instantiating the simulation calibration process and a framework for automating this process, which makes it possible to pick appropriate levels of detail for any simulator. We demonstrate the usefulness of our approach via two case studies for two different domains.
| Original language | English |
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| Title of host publication | Proceedings of 2025 Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis, SC 2025 Workshops |
| Publisher | Association for Computing Machinery, Inc |
| Pages | 1452-1463 |
| Number of pages | 12 |
| ISBN (Electronic) | 9798400718717 |
| DOIs | |
| State | Published - Nov 15 2025 |
| Event | 2025 Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis, SC 2025 Workshops - St. Louis, United States Duration: Nov 16 2025 → Nov 21 2025 |
Publication series
| Name | Proceedings of 2025 Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis, SC 2025 Workshops |
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Conference
| Conference | 2025 Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis, SC 2025 Workshops |
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| Country/Territory | United States |
| City | St. Louis |
| Period | 11/16/25 → 11/21/25 |
Funding
This research was partially supported by National Science Foundation awards #2106059, #2411154, and #2106147. The technical support and advanced computing resources from University of Hawaii Information Technology Services Research Cyberinfrastructure, funded in part by the National Science Foundation CC* awards #2201428 and #2232862 are gratefully acknowledged. Finally, this research used resources of the OLCF at ORNL, which is supported by DOE’s Office of Science under Contract No. DEAC05-00OR22725. This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344. This material is based on work partially supported by LLNL LDRD 22-SI-004 (LLNL-CONF-2002494).
Keywords
- Simulation of parallel and distributed computing systems
- simulation accuracy
- simulation calibration