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SWIS: Shared Weight Bit Sparsity for Efficient Neural Network Acceleration

SWIS: Shared Weight Bit Sparsity for Efficient Neural Network Acceleration

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Introduction

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Introduction

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Classroom Contents

SWIS: Shared Weight Bit Sparsity for Efficient Neural Network Acceleration

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  1. 1 Introduction
  2. 2 Why we need SWIS
  3. 3 Base Sparsity
  4. 4 Quantization Error
  5. 5 Base Serial Multiplier
  6. 6 SWIS Architecture
  7. 7 SWIS Computation Animation
  8. 8 SWIS Scheduling
  9. 9 SWIS Retraining
  10. 10 Questions
  11. 11 Sponsors

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