Performance Prediction of Explicit ODE Methods on Multi-Core Cluster Systems
Markus Scherg, Johannes Seiferth, Matthias Korch, Thomas Rauber · 2019
When migrating a scientific application to a new HPC system, the program code usually has to be re-tuned to achieve the best possible performance. Auto-tuning techniques are a promising approach to support the portability of performance. Often, a large pool of possible implementation variants exists from which the most efficient variant needs to be selected. Ideally, auto-tuning approaches should be capable of undertaking this task in an efficient manner for a new HPC system and new characteristics of the input data by applying suitable analytic models and program transformations.