What Can In-memory Computing Deliver and What Are the Barriers - tinyML Summit 2019

What Can In-memory Computing Deliver and What Are the Barriers - tinyML Summit 2019

tinyML via YouTube Direct link

IMC as a spatial architecture

6 of 19

6 of 19

IMC as a spatial architecture

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

What Can In-memory Computing Deliver and What Are the Barriers - tinyML Summit 2019

Automatically move to the next video in the Classroom when playback concludes

  1. 1 Intro
  2. 2 The memory wall Separating memory from compute fundamentally raises a communicatio
  3. 3 So, we should amortize data movement
  4. 4 In-memory computing (IMC)
  5. 5 The basic tradeoffs
  6. 6 IMC as a spatial architecture
  7. 7 Where does IMC stand today?
  8. 8 analog computation
  9. 9 Algorithmic co-design(?)
  10. 10 programmability
  11. 11 efficient application mappings
  12. 12 Path forward: charge-domain analog computin
  13. 13 2.4Mb, 64-tile IMC
  14. 14 Programmable IMC
  15. 15 Bit-scalable mixed-signal compute
  16. 16 Development board
  17. 17 Design flow
  18. 18 Demonstrations
  19. 19 Conclusions

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.