Many Shades of Acceleration - An Open TinyML Platform Perspective

Many Shades of Acceleration - An Open TinyML Platform Perspective

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Many Shades of Acceleration - An Open TinyML Platform Perspective

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  1. 1 Intro
  2. 2 The big opportunity in business
  3. 3 Challenges
  4. 4 Energy Efficiency
  5. 5 Instruction Level Acceleration
  6. 6 Parallelization
  7. 7 Other components
  8. 8 Parallelisation
  9. 9 Continuous Platform
  10. 10 Hardware Acceleration Engine
  11. 11 Hardware Concrete Engine
  12. 12 Hardware Processing Engine
  13. 13 Compute Engine
  14. 14 Binary Base Quantization
  15. 15 Binary Engine
  16. 16 Conclusion
  17. 17 Full system aspect
  18. 18 Alwayson intelligence
  19. 19 Power consumption
  20. 20 Inmemory accelerator
  21. 21 Low power IOs
  22. 22 Open platform
  23. 23 Sponsors

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