In the previous article , we made Go code faster by changing how it computes. SIMD lets one CPU instruction work on several values at once, and the simd/archsimd and simd packages give Go access to it. Our dot product ran about 9 times faster, but the code got a lot harder to read. At the end, I promised another route to speed, one where you don’t rewrite anything. That route is Profile-Guided Optimization (PGO). You record a CPU profile of where your program spends its time and give it back to the compiler, so it can work harder on the code that is actually hot. Your source stays exactly as it was. We briefly saw it in the IR post , and today we’re going deep into it.
Source: https://internals-for-interns.com/posts/go-compiler-pgo. 8 Sync News only summarizes and links out; content copyright belongs to the authors and original sources.
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This is Part 2; see Part 1 for an introduction. Methodology My big goal here is to be able to repeatably measure how well various video encoder settings work against the types of videos that I care about. In 2025, I took a single 1080p test video1Included as deception1, below. and ran around a thousand tests against it to see how well various H.265 encoding options worked. This time, I wanted to test against multiple videos and multiple encoders to get a much wider view of encoding performance. Before I started this, I wanted to improve my tooling so I wasn’t wasting time or measuring the wrong thing.
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