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Go’s Profile-Guided Optimization uses CPU performance profiles to help the compiler tune frequently used code paths, without changing the source code.
Why it mattersThe account in Inside PGO describes three techniques: guarded devirtualisation of interface calls, a larger inlining budget for hot call sites, and loop-header alignment on x86 for cache efficiency. The practical idea is straightforward: measure what the program actually does, then let the compiler focus its effort there. Which of those optimisations matters most depends on the workload, naturally; compilers are clever, but not clairvoyant.
Discuss: Would you trust profile-guided optimisation on production workloads, or is the extra performance worth the profiling and testing overhead?
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