Bradley McDanel

发表

Incomplete Dot Products for Dynamic Computation Scaling in Neural Network Inference

H. T. Kung, Bradley McDanel, Surat Teerapittayanon, 2017, 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA).

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

H. T. Kung, Sai Qian Zhang, Bradley McDanel, 2018, 2018 24th International Conference on Pattern Recognition (ICPR).

Outlier detection for large scale manufacturing processes

Bradley McDanel, Abhinav Jauhri, Chris Connor, 2015, 2015 IEEE International Conference on Big Data (Big Data).

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

H. T. Kung, Bradley McDanel, Surat Teerapittayanon, 2017, 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS).

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

H. T. Kung, Sai Qian Zhang, Bradley McDanel, 2018, 2018 IEEE International Workshop on Signal Processing Systems (SiPS).

Taming Wireless Fluctuations by Predictive Queuing Using a Sparse-Coding Link-State Model

H. T. Kung, Michael B. Crouse, Stephen J. Tarsa, 2015, MobiHoc.

BranchyNet: Fast inference via early exiting from deep neural networks

H. T. Kung, Bradley McDanel, Surat Teerapittayanon, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Full-stack Optimization for Accelerating CNNs with FPGA Validation pdf

H. T. Kung, Sai Qian Zhang, Bradley McDanel, 2019, ArXiv.

Sparse Coding Trees with application to emotion classification

H. T. Kung, Bradley McDanel, Marcus Z. Comiter, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Embedded Binarized Neural Networks

H. T. Kung, Bradley McDanel, Surat Teerapittayanon, 2017, EWSN.

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

H. T. Kung, Sai Qian Zhang, Bradley McDanel, 2018, ASPLOS.

PNNU: Parallel Nearest-Neighbor Units for Learned Dictionaries

H. T. Kung, Bradley McDanel, Surat Teerapittayanon, 2015, LCPC.

Efficient Implementations of Sparse and Quantized Deep Neural Networks Using Systolic Arrays

Bradley McDanel, 2019 .

Systolic Building Block for Logic-on-Logic 3D-IC Implementations of Convolutional Neural Networks

H. T. Kung, Sai Qian Zhang, Bradley McDanel, 2019, 2019 IEEE International Symposium on Circuits and Systems (ISCAS).

Full-stack optimization for accelerating CNNs using powers-of-two weights with FPGA validation

H. T. Kung, Sai Qian Zhang, Bradley McDanel, 2019, ICS.

Term Revealing: Furthering Quantization at Run Time on Quantized DNNs pdf

H. T. Kung, Sai Qian Zhang, Bradley McDanel, 2020, ArXiv.

Maestro: A Memory-on-Logic Architecture for Coordinated Parallel Use of Many Systolic Arrays

H. T. Kung, Sai Qian Zhang, Bradley McDanel, 2019, 2019 IEEE 30th International Conference on Application-specific Systems, Architectures and Processors (ASAP).

FAST: DNN Training Under Variable Precision Block Floating Point with Stochastic Rounding pdf

Sai Qian Zhang, Bradley McDanel, H. T. Kung, 2021, 2022 IEEE International Symposium on High-Performance Computer Architecture (HPCA).

Saturation RRAM Leveraging Bit-Level Sparsity Resulting from Term Quantization

Sai Qian Zhang, Bradley McDanel, H. T. Kung, 2021, 2021 IEEE International Symposium on Circuits and Systems (ISCAS).

Training for multi-resolution inference using reusable quantization terms

Sai Qian Zhang, Bradley McDanel, H. T. Kung, 2021, ASPLOS.