Basic Lectures
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Lecture1-2: System for AI-1&2-Introduction and System Perspective [ PDF ]
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Lecture3: System for AI-3-Computation frameworks for DNN [ PDF ]
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Lecture4: System for AI-4-Computer architecture for Matrix computation [ PDF ]
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Lecture5: System for AI-5-Distributed training algorithms [ PDF ]
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Lecture6: System for AI-6-Distributed training systems [ PDF ]
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Lecture7: System for AI-7-Scheduling and resource management system [ PDF ]
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Lecture8: System for AI-8-Inference systems [ PDF ]
Advanced Lectures
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Lecture9: System for AI-9-Compilation and Optimization [ PDF ]
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Lecture10: System for AI-10-Efficiency via Compression and Sparsity [ PDF ]
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Lecture11: System for AI-11-AutoML systems [ PDF ]
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Lecture12: System for AI-12-Reinforcement learning systems [ PDF ]
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Lecture13: System for AI-13-Security and Privacy [ PDF ]
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Lecture14: System for AI-14-AI for systems [ PDF ]