BenchmarkTools.jl and Profile.jl: Distinguishing Compilation Overhead from Runtime Bottlenecks
When optimizing Julia performance, developers typically transition from high-level timing to detailed profiling. A common challenge arises when integrating BenchmarkTools.jl for statistical timing and Profile.jl for call-stack sampling to identify specific bottlenecks. Because Julia employs a Just-In-Time (JIT) compilation model, the first execution of a fun
julia