I am broadly interested in the areas of deep learning, hardware architecture, and computer networks. I have worked on developing efficient deep neural network (DNN) algorithms and have designed hardware architectures for these DNNs. I am also interested in optimizing DNN inference (prediction) for edge devices in both standalone and distributed network contexts.
B. McDanel, H. Dinh, J. Magallanes
International Conference on Pattern Recognition (ICPR), 2022.
S. Zhang, B. McDanel, H. T. Kung
28th IEEE International Symposium on High-Performance Computer Architecture (HPCA-28), 2022.
B. McDanel, H. T. Kung, S. Zhang
IEEE International Symposium on Circuits and Systems (ISCAS), 2021
S. Zhang, B. McDanel, H. T. Kung, X. Dong
26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2021