Julia Performance Optimization

Apply optimizations in this order — measure first, then fix.

Step 1: Measure before optimizing

using BenchmarkTools

@btime my_function(args...)        # quick measurement
@benchmark my_function(args...)    # full stats with distribution

Key fields in @benchmark output:

• median time — use median, not mean (robust to outliers)
• allocs — high alloc count suggests type instability
• memory estimate — unexpectedly large → unnecessary array copies

Step 2: Fix type instability