## all talks[[Sze]]

## Eyeriss v 2

2019 [Eyeriss v2: A Flexible Accelerator for Emerging Deep Neural Networks on Mobile Devices](https://arxiv.org/pdf/1807.07928.pdf) Yu-Hsin Chen

## reviews

++++ 2017 [Efficient Processing of Deep Neural Networks: A Tutorial and Survey](https://arxiv.org/abs/1703.09039) Vivienne Sze

- 2017 [Hardware for Machine Learning: Challenges and Opportunities](https://arxiv.org/pdf/1612.07625.pdf) (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](https://knowen-production.s3.amazonaws.com/uploads/attachment/file/3320/2019-mars-sze-compressed.pdf) Vivienne Sze - technical talk

## 2017 [USING DATAFLOW TO OPTIMIZE ENERGY EFFICIENCY OF DEEP NEURAL NETWORK ACCELERATORS](https://people.csail.mit.edu/emer/papers/2017.05.ieee_micro.dnn_dataflow.pdf)