Stanford Seminar - Accelerating ML Recommendation with Over a Thousand RISC-V-Tensor Processors

Stanford Seminar - Accelerating ML Recommendation with Over a Thousand RISC-V-Tensor Processors

Stanford Online via YouTube Direct link

Summary

21 of 23

21 of 23

Summary

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Classroom Contents

Stanford Seminar - Accelerating ML Recommendation with Over a Thousand RISC-V-Tensor Processors

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  1. 1 Introduction
  2. 2 The Chip
  3. 3 Challenges
  4. 4 Different approaches
  5. 5 Constraints
  6. 6 Energy Efficiency
  7. 7 Computing Neighborhood
  8. 8 Grouping
  9. 9 Parallelization
  10. 10 More Details
  11. 11 Memory System
  12. 12 Other Form Factors
  13. 13 Software
  14. 14 Vector Operations
  15. 15 Tensor Multiply
  16. 16 Example
  17. 17 Integer Operations
  18. 18 Instructions
  19. 19 Benchmarks
  20. 20 Maxion
  21. 21 Summary
  22. 22 Where are we
  23. 23 First silicon

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