Follow
Bradley McDanel
Bradley McDanel
Assistant Professor of Computer Science, Franklin & Marshall College
Verified email at fandm.edu - Homepage
Title
Cited by
Cited by
Year
Branchynet: Fast inference via early exiting from deep neural networks
S Teerapittayanon, B McDanel, HT Kung
IAPR International Conference on Pattern Recognition, 2016
11132016
Distributed Deep Neural Networks over the Cloud, the Edge and End Devices
S Teerapittayanon, B McDanel, HT Kung
37th International Conference on Distributed Computing Systems (ICDCS 2017), 2017
8712017
Packing sparse convolutional neural networks for efficient systolic array implementations: Column combining under joint optimization
HT Kung, B McDanel, SQ Zhang
Proceedings of the Twenty-Fourth International Conference on Architectural …, 2019
1772019
Embedded Binarized Neural Networks
B McDanel, S Teerapittayanon, HT Kung
International Conference on Embedded Wireless Systems and Networks, 2017
1152017
FAST: DNN Training Under Variable Precision Block Floating Point with Stochastic Rounding
SQ Zhang, B McDanel, HT Kung
The 28th IEEE International Symposium on High-Performance Computer …, 2022
422022
Full-stack Optimization for Accelerating CNNs Using Powers-of-Two Weights with FPGA Validation
B McDanel, SQ Zhang, HT Kung, X Dong
International Conference on Supercomputing, 2019
392019
Term Quantization: Furthering Quantization at Run Time
HT Kung, B McDanel, SQ Zhang
International Conference for High Performance Computing, Networking, Storage …, 2020
26*2020
Maestro: A Memory-on-Logic Architecture for Coordinated Parallel Use of Many Systolic Arrays
HT Kung, B McDanel, SQ Zhang, X Dong, CC Chen
2019 Application-specific Systems, Architectures and Processors, 2019
212019
Adaptive Tiling: Applying Fixed-size Systolic Arrays To Sparse Convolutional Neural Networks
HT Kung, B McDanel, SQ Zhang
IAPR International Conference on Pattern Recognition, 2018
202018
Mapping Systolic Arrays Onto 3D Circuit Structures: Accelerating Convolutional Neural Network Inference
HT Kung, B McDanel, SQ Zhang
IEEE Workshop on Signal Processing Systems, 2018
192018
Training for Multi-resolution Inference Using Reusable Quantization Terms
SQ Zhang, B McDanel, HT Kung, X Dong
Proceedings of the Twenty-Sixth International Conference on Architectural …, 2021
122021
Incomplete dot products for dynamic computation scaling in neural network inference
B McDanel, S Teerapittayanon, HT Kung
2017 16th IEEE International Conference on Machine Learning and Applications …, 2017
112017
Systolic Building Block for Logic-on-Logic 3D-IC Implementations of Convolutional Neural Networks
HT Kung, B McDanel, SQ Zhang, CT Wang, J Cai, CY Chen, VCY Chang, ...
2019 International Symposium on Circuits and Systems, 2019
102019
Sparse coding trees with application to emotion classification
K Chen, MZ Comiter, HT Kung, B McDanel
Proceedings of the IEEE conference on computer vision and pattern …, 2015
92015
Accelerating DNN Training with Structured Data Gradient Pruning
B McDanel, H Dinh, J Magallanes
26th IAPR International Conference on Pattern Recognition, 2022
82022
Saturation RRAM Leveraging Bit-level Sparsity Resulting from Term Quantization
B McDanel, HT Kung, SQ Zhang
2021 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2021
82021
Taming wireless fluctuations by predictive queuing using a sparse-coding link-state model
SJ Tarsa, M Comiter, MB Crouse, B McDanel, HT Kung
Proceedings of the 16th ACM International Symposium on Mobile Ad Hoc …, 2015
82015
Outlier detection for large scale manufacturing processes
A Jauhri, B McDanel, C Connor
2015 IEEE International Conference on Big Data (Big Data), 2771-2774, 2015
62015
Dynamic Patch Sampling for Efficient Training and Dynamic Inference in Vision Transformers
B McDanel, CPN Huynh
2023 International Conference on Machine Learning and Applications (ICMLA …, 2023
2*2023
PNNU: parallel nearest-neighbor units for learned dictionaries
HT Kung, B McDanel, S Teerapittayanon
Languages and Compilers for Parallel Computing: 28th International Workshop …, 2016
12016
The system can't perform the operation now. Try again later.
Articles 1–20