There aren't a ton Julia-specific tuning. Off the top of my head, the main performance gotchas are: type unstable code, closures, globals, and (in some cases) p

There aren't a ton Julia-specific tuning. Off the top of my head, the main performance gotchas are: type unstable code, closures, globals, and (in some cases) passing by functions instead of function pointers. Most performance tips are similar across most fast languages: minimize OS-managed allocations, use cache and SIMD friendly memory layouts, better algo design in general. I find that these optimizations are typically easier in Julia than in most languages.