Preruns
Preruns are preliminary executions of a process, program, or workflow that occur before a main run. They are intended to prepare the environment, validate prerequisites, or initialize resources so that the primary execution can proceed more smoothly. Preruns may establish caches, load configurations, create needed directories, or seed data, and their effects are often not counted as part of the main results.
In software development and data processing, preruns are commonly used to reduce warm-up time and ensure that
In benchmarking and performance testing, preruns are sometimes treated as warm-up iterations. They help stabilize metrics
In machine learning and experimental workflows, preruns can include tasks such as loading data sets, initializing
Implementation considerations for preruns include configurability, isolation from the main run, and clear documentation of which