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.
Nguồn: https://internals-for-interns.com/posts/go-compiler-pgo. 8 Sync News chỉ tóm tắt và dẫn link; bản quyền nội dung thuộc tác giả và nguồn gốc.
Đọc tin ở đây, luyện code, học theo lộ trình và luyện IELTS trên các sản phẩm anh em — tất cả kết nối với nhau trong hệ sinh thái 8 Sync.
Cổng chính của hệ sinh thái: giới thiệu sản phẩm, blog và bảng giá trọn bộ.
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Dùng thử miễn phíAI IDE 22 MB cho dev Việt.
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Khám pháAI trực Fanpage, tự sàng lọc lead.
Dùng thửOne self-hosted app for your shows, movies and music. - HolyArrs/HolyArrs
What changed in the Go ecosystem since last year? We looked at the Developer Ecosystem 2026 survey to bring you the answers.
Vercel Sandbox snapshots now use an optimized indexing format, cutting median creation time from 4.4s to under 0.4s.
AudioSilo lets you host your own audiobook library with mobile apps, offline listening, progress syncing, and Docker support.
OccupySaaS is a protest movement in code: laid-off developers building clean-room, open-source, drop-in replacements for the SaaS giants. First up: ZeroAuthy (Auth0) and SalesCompel (Salesforce).
A streaming series is now available for free.
Announcing TinyGo 0.44 with smaller and faster programs, more multicores on microcontrollers, support for Arduino UNO R4, new drivers, and big Bluetooth updates!
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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