Packing Sparse Convolutional Neural Networks for Efficient Systolic Array Implementations: Column Combining Under Joint Optimization

H. T. Kung, B. McDanel, and S. Zhang
24th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2019
paper | code

Adaptive Tiling: Applying Fixed-size Systolic Arrays To Sparse Convolutional Neural Networks

H. T. Kung, B. McDanel, S. Zhang
International Conference on Pattern Recognition (ICPR), 2018
paper

Mapping Systolic Arrays Onto 3D Circuit Structures: Accelerating Convolutional Neural Network Inference

H. T. Kung, B. McDanel, S. Zhang
IEEE Workshop on Signal Processing Systems (SiPs), 2018.
paper

Incomplete Dot Products for Dynamic Computation Scaling in Neural Network Inference

B. McDanel, S. Teerapittayanon, H. T. Kung
International Conference On Machine Learning And Applications (ICMLA), 2017
paper

Distributed Deep Neural Networks over the Cloud, the Edge and End Devices

S. Teerapittayanon, B. McDanel, H. T. Kung
International Conference on Distributed Computing Systems (ICDCS), 2017
paper | code

Embedded Binarized Neural Networks

B. McDanel, S. Teerapittayanon, H. T. Kung
International Conference on Embedded Wireless Systems and Networks (EWSN), 2017
paper | code

BranchyNet: Fast Inference via Early Exiting from Deep Neural Networks

S. Teerapittayanon, B. McDanel, H. T. Kung
International Conference on Pattern Recognition (ICPR), 2016
paper

PNNU: Parallel Nearest-Neighbor Units for Learned Dictionaries

Outlier Detection for Large Scale Manufacturing Processes

Sparse Coding Trees with Application to Emotion Classification

H. Chen, M. Z. Comiter, H. T. Kung, B. McDanel
IEEE Workshop on Analysis and Modeling of Faces and Gestures (CVPR Workshop), 2015
Best paper award
paper