5 papers
GraphChallenge.org Sparse Deep Neural Network Performance
Jeremy Kepner, Simon Alford, Vijay Gadepally +5
The MIT/IEEE/Amazon GraphChallenge.org encourages community approaches to developing new solutions for analyzing graphs and sparse data. Sparse AI analytics present unique scalabil…
Sparse Deep Neural Network Graph Challenge
Jeremy Kepner, Simon Alford, Vijay Gadepally +4
The MIT/IEEE/Amazon GraphChallenge.org encourages community approaches to developing new solutions for analyzing graphs and sparse data. Sparse AI analytics present unique scalabil…
RadiX-Net: Structured Sparse Matrices for Deep Neural Networks
Ryan A. Robinett, Jeremy Kepner
The sizes of deep neural networks (DNNs) are rapidly outgrowing the capacity of hardware to store and train them. Research over the past few decades has explored the prospect of sp…
Training Behavior of Sparse Neural Network Topologies
Simon Alford, Ryan Robinett, Lauren Milechin +1
Improvements in the performance of deep neural networks have often come through the design of larger and more complex networks. As a result, fast memory is a significant limiting f…
Neural Network Topologies for Sparse Training
Ryan A. Robinett, Jeremy Kepner
The sizes of deep neural networks (DNNs) are rapidly outgrowing the capacity of hardware to store and train them. Research over the past few decades has explored the prospect of sp…