Dashboard

Featured nodes

Roots

  • Public root

Templates

  • Test template
  • iCorps template
  • Guanyu's Latex template
  • Ivar's latex template
  • Family Tree template
  • Latex template
  • Router template

Trees

  • Public trees

Orphans

  • Browse orphan nodes
Related nodes

Parents1

  • AI accelerators - emerging memory

Siblings2
  • Sort by title
  • Sort by date

  • Learning with CIM-stt-MRAM
  • Vivienne Sze
Knowenβ
  • Help
    • Welcome to Knowen!
    • Edit test node (no login required)
    • Create new test node (no login required)
  • Not logged in
    • Sign in
    • Sign up
Privacy
  • Edit node

Vivienne Sze

Created about 5 years ago, updated 28 days ago

all talks[1]

Eyeriss v 2

2019 Eyeriss v2: A Flexible Accelerator for Emerging Deep Neural Networks on Mobile Devices Yu-Hsin Chen

reviews

++++ 2017 Efficient Processing of Deep Neural Networks: A Tutorial and Survey Vivienne Sze

  • 2017 Hardware for Machine Learning: Challenges and Opportunities (Invited Paper) Vivienne Sze

  • Data movement - In order to meet computing demands in terms of power and speed, need to redesign computing hardware from the ground up Vivienne Sze - technical talk

2017 USING DATAFLOW TO OPTIMIZE ENERGY EFFICIENCY OF DEEP NEURAL NETWORK ACCELERATORS

References

  1. Sze

Parents

  • AI accelerators - emerging memory

Contact us or leave feedback

© KTree Inc. 2026