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Machine Learning Hardware and Systems (Cornell Tech, Spring 2022)

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Cornell ECE 5545: ML HW & Systems. Lecture 0: Introduction

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Cornell ECE 5545: ML HW & Systems. Lecture 1: DNN Computations

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Cornell ECE 5545: ML HW & Systems. Lecture 2: ML Hardware I (metrics and roofline)

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Cornell ECE 5545: ML HW & Systems. Lecture 3: ML Hardware II (efficiency)

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Cornell ECE 5545: ML HW & Systems. Lecture 4: ML Hardware III (case studies)

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Cornell ECE 5545: ML HW & Systems. Lecture 5: Microarchitecture

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Cornell ECE 5545: ML HW & Systems. Lecture 6: TinyML

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Cornell ECE 5545: ML HW & Systems. Lecture 7: Quantization

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Cornell ECE 5545: ML HW & Systems. Lecture 8: Pruning

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Cornell ECE 5545: ML HW & Systems. Lecture 9: Knowledge Distillation

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Cornell ECE 5545: ML HW & Systems. Lecture 10: Neural Architecture Search

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Cornell ECE 5545: ML HW & Systems. Lecture 11: Kernel Computation

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Cornell ECE 5545: ML HW & Systems. Lecture 12: Mapping

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Cornell ECE 5545: Guest Lecture: TVM Thierry Moreau

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Cornell ECE 5545: Guest Lecture: Cerebras Sean Lie

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