How to Make Your CPU as Fast as a GPU - Advances in Sparsity with Nir Shavit

How to Make Your CPU as Fast as a GPU - Advances in Sparsity with Nir Shavit

Yannic Kilcher via YouTube Direct link

Introduction

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Introduction

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How to Make Your CPU as Fast as a GPU - Advances in Sparsity with Nir Shavit

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  1. 1 Introduction
  2. 2 Sponsor: AssemblyAI
  3. 3 Start of Interview
  4. 4 How the NIR company was founded?
  5. 5 What is Sparsity about?
  6. 6 Link between the human brain and sparsity
  7. 7 Where should the extra resource that the human brain doesn't have go?
  8. 8 Analogy for Sparse Architecture
  9. 9 Possible future for Sparse Architecture as standard architure for Neural Networks
  10. 10 Pruning & Sparsification
  11. 11 What keeps us from building sparse models?
  12. 12 Why are GPUs so unsuited for sparse models?
  13. 13 CPU and GPU in connection with memory
  14. 14 What Neural Magic does?
  15. 15 How do you deal with overlaps in tensor columns?
  16. 16 The best type of sparsity to execute tons of CPU
  17. 17 What kind of architecture would make the best use out of a combined system of CPUs and GPUs?
  18. 18 Graph Neural Networks in connection to sparsity
  19. 19 Intrinsic connection between the Sparsification of Neural Networks, Non Layer-Wise Computation, Blockchain Technology, Smart Contracts and Distributed Computing
  20. 20 Neural Magic's target audience
  21. 21 Is there a type of model where it works particularly well and the type where it doesn't?

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