{"version":"1.0","type":"card","id":"82a37bc5-6c75-4816-b867-32f0d2532a52","url":"https://stacklist.com/card/82a37bc5-6c75-4816-b867-32f0d2532a52","title":"Carnegie Mellon just open-sourced a Blackwell GPU programming book. Free.","source_url":"https://www.linkedin.com/posts/paoloperrone_carnegie-mellon-just-open-sourced-a-blackwell-share-7476106428521504768-hSuI/?utm_source=share&utm_medium=member_ios&rcm=ACoAAAI21ZsBNnZPaKuTab7nquKLCveUW7o-1DE","note":"Carnegie Mellon just open-sourced a Blackwell GPU programming book. Free. This resource offers modern insights into GPU programming, covering topics like data layout, high-performance kernel writing, and includes hands-on examples with a minimal compiler, making it a valuable tool for engineers and students alike.","image":{"url":"https://ucarecdn.com/1957e6d4-af6f-493f-a089-516e128a7709/","alt":"Carnegie Mellon just open-sourced a Blackwell GPU programming book. Free.","width":1280,"height":800},"stack":{"id":"4aae218c-38d7-4c05-b7ae-f2db0029a2e8","title":"Local AI & GPUs","url":"https://stacklist.com/stack/4aae218c-38d7-4c05-b7ae-f2db0029a2e8"},"created_at":"2026-07-09T05:44:26.008Z","updated_at":null,"aco":{"summary":"Carnegie Mellon has open-sourced a Blackwell GPU programming book created by Tianqi Chen that covers modern GPU architecture, data layout, kernel writing, and hands-on examples for high-performance computing. The resource addresses the gap between outdated GPU programming practices and current hardware capabilities, emphasizing that kernel-level optimization is becoming essential for production AI systems.","tags":["gpu-programming","blackwell-architecture","kernel-optimization","high-performance-computing","machine-learning-systems","nvidia","open-source"],"key_entities":[{"name":"Tianqi Chen","type":"person","confidence":0.95},{"name":"Paolo Perrone","type":"person","confidence":0.9},{"name":"Carnegie Mellon University","type":"organization","confidence":0.98},{"name":"NVIDIA","type":"organization","confidence":0.95},{"name":"Blackwell GPU","type":"technology","confidence":0.98},{"name":"XGBoost","type":"technology","confidence":0.9},{"name":"Flash Attention","type":"technology","confidence":0.85},{"name":"kernel-optimization","type":"concept","confidence":0.92},{"name":"data-swizzling","type":"concept","confidence":0.88},{"name":"TMA","type":"concept","confidence":0.85}],"classification":"reference","language":"en","confidence":0.85,"provenance":{"model":"claude-haiku-4-5","tool":"@stacklist/be@0.1.0","confidence":0.85,"timestamp":"2026-07-09T05:44:32.334Z"},"token_counts":{"approximate":1053,"cl100k":917},"content_hash":"sha256:f88bf8f385e921c1d2823cc1c629c7bfd429d194115a13cdac4aee92f62571c8","acp_version":"0.2","body_available":true,"body_tokens":1053,"visibility":"public","agent_accessible":true,"status":"final"},"_links":{"self":"/api/public/card/82a37bc5-6c75-4816-b867-32f0d2532a52.json","html":"https://stacklist.com/card/82a37bc5-6c75-4816-b867-32f0d2532a52","md":"/api/public/card/82a37bc5-6c75-4816-b867-32f0d2532a52.md","stack_json":"/api/public/stack/4aae218c-38d7-4c05-b7ae-f2db0029a2e8.json"}}