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Carnegie Mellon just open-sourced a Blackwell GPU programming book. Free.
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 The resource addresses the gap between outdated GPU programming practices and current hardware capabilities, emphasizing that kernel-level optimization is becoming essential for production AI systems.
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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 The resource addresses the gap between outdated GPU programming practices and current hardware capabilities, emphasizing that kernel-level optimization is becoming essential for production AI systems.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
Tianqi Chen (person, 0.95) · Paolo Perrone (person, 0.9) · Carnegie Mellon University (organization, 0.98) · NVIDIA (organization, 0.95) · Blackwell GPU (technology, 0.98) · XGBoost (technology, 0.9) · Flash Attention (technology, 0.85) · kernel-optimization (concept, 0.92) · data-swizzling (concept, 0.88) · TMA (concept, 0.85)
Classification
reference · language en · status final
Provenance
claude-haiku-4-5 via @stacklist/be@0.1.0, confidence 0.85, 9 Jul 2026