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Etc Table of contents - [Fundamentals](#fundamentals) - [Introduction to GPU programming](#introduction-to-gpu-programming) - [Architecture deep dives](#architecture-deep-dives) - [Low-level details](#low-level-details) - [Matrix..."},"evidence_pages":[{"url":"https://github.com/wafer-ai/gpu-perf-engineering-resources","final_url":"https://github.com/wafer-ai/gpu-perf-engineering-resources","title":"wafer-ai/gpu-perf-engineering-resources repository metadata","http_status":200,"content_type":"application/json","capture_method":"plain","fetched_at":"2026-06-11T03:02:57.807675+00:00","bytes":29271,"raw_path":"c3c00ed661f56a5da5c3e71bcbf8d15c49ec8a6d0d27177159996322e49deb11.json","content_hash":"157869186628d53b27b17ada862e18f7dbf9027165f5f85308ebc3fd356a32b0","excerpt_chars":1200,"truncated":true,"excerpt":"wafer-ai/gpu-perf-engineering-resources Description: A curriculum for learning about gpu performance engineering, from scratch to what the frontier AI labs do Stars: 819 Forks: 98 Open issues: 0 Created: 2026-01-12T00:47:24Z Pushed: 2026-04-27T21:27:59Z Default branch: main Fork: no Archived: no README: <p align=\"center\"> <img src=\"cover.avif\" alt=\"Performance Engineering for AI Infra\" width=\"100%\"> </p> Learning Guide: Performance Engineering for AI Infra Purpose The purpose of this guide is to help engineers learn GPU kernel programming and optimization, with a focus on high-performance AI systems. 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