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Sun 20 - Fri 25 October 2019 Athens, Greece
Thu 24 Oct 2019 14:45 - 15:30 at Panorama - Machine Learning

Deep learning accelerators offer tremendous gains in compute throughput. That said, accelerators are only as good as the software compilers built to program them.

I will present VTA, a flexible deep learning accelerator design that is fully integrated and open-sourced with the Apache TVM deep learning compiler stack. I will describe the features and the abstraction layers that compose this complete hardware-software stack. Finally I will discuss how it has enabled researchers to perform full system evaluations of novel research ideas such as numerical system exploration.

This program is tentative and subject to change.

Thu 24 Oct

14:00 - 15:30: Rebase - Machine Learning at Panorama
splash-2019-rebase14:00 - 14:45
Miltiadis AllamanisMicrosoft Research, Cambridge
splash-2019-rebase14:45 - 15:30
Thierry MoreauUniversity of Washington