# A gentle introduction to hardware architectures for DNN acceleration
_by Mickaël Dardaillon (IETR - Vaader) - 2021.05.06 - 2:00 PM_
###### tags: `VAADER` `Reading Group`

## Abstract

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"*The synergy between the large datasets in the cloud and the numerous computers that power it has enabled remarkable advancements in machine learning, especially in DNNs. […] That changed in 2013 when a projection in which Google users searched by voice for three minutes per day using speech recognition DNNs would double Google datacenters’ computation demands.*"

This presentation will introduce the concepts behind the hardware architectures used to support current growth in machine learning, including GPUs and TPUs.
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## Related Material
[A Domain-Specific Architecture for Deep Neural Networks](https://dl.acm.org/doi/abs/10.1145/3154484)

## Slides

{%pdf https://florianlemarchand.github.io/ressources/pdfs/VAADER_Reading_Group/2021-06-05-Dardaillon-Archis_for_DNN.pdf %}

## Presentation and Discussions
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