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.

Date

2025

Authors

Loic Pottier, Jessie McDonald, Yick-Ching Wong, Henri Casanova, Frederic Suter, Kshitij Mehta, Rafael Ferreira da Silva, Ewa Deelman

Issue

LLNL-CONF-2002494

Publisher

Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)