Bradley McDanel

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 32

Top Topics

Quantization Step

Variable Precision

Top Venues

Publications

Bradley McDanel, Chi Phuong Ngoc Huynh
Dynamic Patch Sampling for Efficient Training and Dynamic Inference in Vision Transformers. ICMLA (2023)
Surat Teerapittayanon, Marcus Z. Comiter, Bradley McDanel, H. T. Kung
StitchNet: Composing Neural Networks from Pre-Trained Fragments. ICMLA (2023)
Surat Teerapittayanon, Marcus Z. Comiter, Bradley McDanel, H. T. Kung
StitchNet: Composing Neural Networks from Pre-Trained Fragments. CoRR (2023)
Bradley McDanel, Helia Dinh, John Magallanes
Accelerating DNN Training with Structured Data Gradient Pruning. ICPR (2022)
Bradley McDanel, Chi Phuong Huynh
Accelerating Vision Transformer Training via a Patch Sampling Schedule. CoRR (2022)
Bradley McDanel, Helia Dinh, John Magallanes
Accelerating DNN Training with Structured Data Gradient Pruning. CoRR (2022)
Sai Qian Zhang, Bradley McDanel, H. T. Kung
FAST: DNN Training Under Variable Precision Block Floating Point with Stochastic Rounding. HPCA (2022)
Sai Qian Zhang, Bradley McDanel, H. T. Kung, Xin Dong
Training for multi-resolution inference using reusable quantization terms. ASPLOS (2021)
Sai Qian Zhang, Bradley McDanel, H. T. Kung
FAST: DNN Training Under Variable Precision Block Floating Point with Stochastic Rounding. CoRR (2021)
Bradley McDanel, Sai Qian Zhang, H. T. Kung
Saturation RRAM Leveraging Bit-Level Sparsity Resulting from Term Quantization. ISCAS (2021)
Hsiang-Tsung Kung, Bradley McDanel, Sai Qian Zhang
Term quantization: furthering quantization at run time. SC (2020)
H. T. Kung, Bradley McDanel, Sai Qian Zhang
Term Revealing: Furthering Quantization at Run Time on Quantized DNNs. CoRR (2020)
Bradley McDanel, Sai Qian Zhang, H. T. Kung, Xin Dong
Full-stack optimization for accelerating CNNs using powers-of-two weights with FPGA validation. ICS (2019)
Bradley McDanel, Sai Qian Zhang, H. T. Kung, Xin Dong
Full-stack Optimization for Accelerating CNNs with FPGA Validation. CoRR (2019)
H. T. Kung, Bradley McDanel, Sai Qian Zhang, C. T. Wang, Jin Cai, C. Y. Chen, Victor C. Y. Chang, M. F. Chen, Jack Y. C. Sun, Douglas Yu
Systolic Building Block for Logic-on-Logic 3D-IC Implementations of Convolutional Neural Networks. ISCAS (2019)
H. T. Kung, Bradley McDanel, Sai Qian Zhang
Packing Sparse Convolutional Neural Networks for Efficient Systolic Array Implementations: Column Combining Under Joint Optimization. ASPLOS (2019)
H. T. Kung, Bradley McDanel, Sai Qian Zhang, Xin Dong, Chih-Chiang Chen
Maestro: A Memory-on-Logic Architecture for Coordinated Parallel Use of Many Systolic Arrays. ASAP (2019)
H. T. Kung, Bradley McDanel, Sai Qian Zhang
Packing Sparse Convolutional Neural Networks for Efficient Systolic Array Implementations: Column Combining Under Joint Optimization. CoRR (2018)
H. T. Kung, Bradley McDanel, Sai Qian Zhang
Adaptive Tiling: Applying Fixed-size Systolic Arrays To Sparse Convolutional Neural Networks. ICPR (2018)
H. T. Kung, Bradley McDanel, Sai Qian Zhang
Mapping Systolic Arrays onto 3D Circuit Structures: Accelerating Convolutional Neural Network Inference. SiPS (2018)
Bradley McDanel, Surat Teerapittayanon, H. T. Kung
Embedded Binarized Neural Networks. CoRR (2017)
Bradley McDanel, Surat Teerapittayanon, H. T. Kung
Embedded Binarized Neural Networks. EWSN (2017)
Bradley McDanel, Surat Teerapittayanon, H. T. Kung
Incomplete Dot Products for Dynamic Computation Scaling in Neural Network Inference. CoRR (2017)
Surat Teerapittayanon, Bradley McDanel, H. T. Kung
BranchyNet: Fast Inference via Early Exiting from Deep Neural Networks. CoRR (2017)
Surat Teerapittayanon, Bradley McDanel, H. T. Kung
Distributed Deep Neural Networks over the Cloud, the Edge and End Devices. CoRR (2017)
Bradley McDanel, Surat Teerapittayanon, H. T. Kung
Incomplete Dot Products for Dynamic Computation Scaling in Neural Network Inference. ICMLA (2017)
Surat Teerapittayanon, Bradley McDanel, H. T. Kung
Distributed Deep Neural Networks Over the Cloud, the Edge and End Devices. ICDCS (2017)
Surat Teerapittayanon, Bradley McDanel, H. T. Kung
BranchyNet: Fast inference via early exiting from deep neural networks. ICPR (2016)
Stephen J. Tarsa, Marcus Z. Comiter, Michael B. Crouse, Bradley McDanel, H. T. Kung
Taming Wireless Fluctuations by Predictive Queuing Using a Sparse-Coding Link-State Model. MobiHoc (2015)
Abhinav Jauhri, Bradley McDanel, Chris Connor
Outlier detection for large scale manufacturing processes. IEEE BigData (2015)
H. T. Kung, Bradley McDanel, Surat Teerapittayanon
PNNU: Parallel Nearest-Neighbor Units for Learned Dictionaries. LCPC (2015)
Hsieh-Chung Chen, Marcus Z. Comiter, H. T. Kung, Bradley McDanel
Sparse Coding Trees with application to emotion classification. CVPR Workshops (2015)