Search Results for author: Richard Vuduc

Found 5 papers, 2 papers with code

CUP: Cluster Pruning for Compressing Deep Neural Networks

1 code implementation19 Nov 2019 Rahul Duggal, Cao Xiao, Richard Vuduc, Jimeng Sun

With CUP, we overcome two limitations of prior work-(1) non-uniform pruning: CUP can efficiently determine the ideal number of filters to prune in each layer of a neural network.

Spatter: A Tool for Evaluating Gather / Scatter Performance

1 code implementation9 Nov 2018 Patrick Lavin, Jeffrey Young, Jason Riedy, Richard Vuduc, Aaron Vose, Dan Ernst

This paper describes a new benchmark tool, Spatter, for assessing memory system architectures in the context of a specific category of indexed accesses known as gather and scatter.


SPARTan: Scalable PARAFAC2 for Large & Sparse Data

no code implementations13 Mar 2017 Ioakeim Perros, Evangelos E. Papalexakis, Fei Wang, Richard Vuduc, Elizabeth Searles, Michael Thompson, Jimeng Sun

For example, when modeling medical features across a set of patients, the number and duration of treatments may vary widely in time, meaning there is no meaningful way to align their clinical records across time points for analysis purposes.

Sparse Hierarchical Tucker Factorization and its Application to Healthcare

no code implementations25 Oct 2016 Ioakeim Perros, Robert Chen, Richard Vuduc, Jimeng Sun

It can also do so more accurately and in less time than the state-of-the-art: on a 12th order subset of the input data, Sparse H-Tucker is 18x more accurate and 7. 5x faster than a previously state-of-the-art method.

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