runtimeoverhead
Runtime overhead refers to the additional time, memory, or processing resources consumed by a program beyond the basic computational work performed by its core algorithm. It is an inherent aspect of many programming systems and can impact performance, scalability, and energy efficiency.
Typical sources of runtime overhead include high‑level abstractions such as object‑oriented features, dynamic dispatch, reflection, and
Measuring runtime overhead can be performed using profiling tools, performance counters, or micro‑benchmarks. A common approach
Reducing runtime overhead involves trade‑offs. Techniques such as static compilation, inlining, link‑time optimizations, and tailoring data
In summary, runtime overhead is a crucial consideration in system design and optimization. Understanding its origins,