The International Conference for High Performance Computing, Networking, Storage, and Analysis
The International Conference for High Performance Computing, Networking, Storage, and Analysis
Workshop: PMBS25: The 16th International Workshop on Performance Modeling, Benchmarking, and Simulation of High-Performance Computer Systems
Authors: Jesse McDonald and Yick-Ching Wong (University of Hawaii at Manoa), Kshitij Mehta and Frederic Suter (Oak Ridge National Laboratory (ORNL)), Rafael Ferreira Da Silva (Oak Ridge National Laboratory), Loic Pottier (Lawrence Livermore National Laboratory (LLNL)), Ewa Deelman (University of Southern California), and Henri Casanova (University of Hawaii at Manoa)
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.
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