Search Results for author: Jonathan Elliott Frankle

Found 1 papers, 0 papers with code

TIRAMISU: A Polyhedral Compiler for Dense and Sparse Deep Learning

no code implementations7 May 2020 Riyadh Baghdadi, Abdelkader Nadir Debbagh, Kamel Abdous, Fatima Zohra Benhamida, Alex Renda, Jonathan Elliott Frankle, Michael Carbin, Saman Amarasinghe

In this paper, we demonstrate a compiler that can optimize sparse and recurrent neural networks, both of which are currently outside of the scope of existing neural network compilers (sparse neural networks here stand for networks that can be accelerated with sparse tensor algebra techniques).

Cannot find the paper you are looking for? You can Submit a new open access paper.