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Sun 20 - Fri 25 October 2019 Athens, Greece
Wed 23 Oct 2019 16:45 - 17:30 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.

Wed 23 Oct
Times are displayed in time zone: Beirut change

16:00 - 17:30: Machine LearningRebase at Panorama
16:00 - 16:45
Machine Learning for Program Analysis
Miltiadis AllamanisMicrosoft Research, Cambridge
16:45 - 17:30
An Open Source Hardware-Software Blueprint for Flexible Deep Learning Specialization
Thierry MoreauUniversity of Washington