Edward Hanson

According to our database, Edward Hanson authored at least 10 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

DyNNamic: Dynamically Reshaping, High Data-Reuse Accelerator for Compact DNNs.

Edward Hanson, Shiyu Li, Xuehai Qian, Hai Helen Li, Yiran Chen

IEEE Trans. Computers, March, 2023

Block-Wise Mixed-Precision Quantization: Enabling High Efficiency for Practical ReRAM-based DNN Accelerators.

Xueying Wu, Edward Hanson, Nansu Wang, Qilin Zheng, Xiaoxuan Yang, Huanrui Yang, Shiyu Li, Feng Cheng, Partha Pratim Pande, Janardhan Rao Doppa, Krishnendu Chakrabarty, Hai Li

CoRR, 2023

Analog, In-memory Compute Architectures for Artificial Intelligence.

Patrick Bowen, Guy Regev, Nir Regev, Bruno Pedroni, Edward Hanson, Yiran Chen

CoRR, 2023

Biologically Plausible Learning on Neuromorphic Hardware Architectures.

Christopher Wolters, Brady Taylor, Edward Hanson, Xiaoxuan Yang, Ulf Schlichtmann, Yiran Chen

Proceedings of the 66th IEEE International Midwest Symposium on Circuits and Systems, 2023

Si-Kintsugi: Towards Recovering Golden-Like Performance of Defective Many-Core Spatial Architectures for AI.

Edward Hanson, Shiyu Li, Guanglei Zhou, Feng Cheng, Yitu Wang, Rohan Bose, Hai Li, Yiran Chen

Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

DefT: Boosting Scalability of Deformable Convolution Operations on GPUs.

Edward Hanson, Mark Horton, Hai (Helen) Li, Yiran Chen

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022

Cascading structured pruning: enabling high data reuse for sparse DNN accelerators.

Edward Hanson, Shiyu Li, Hai Helen Li, Yiran Chen

Proceedings of the ISCA '22: The 49th Annual International Symposium on Computer Architecture, New York, New York, USA, June 18, 2022

2021

An Efficient 3D ReRAM Convolution Processor Design for Binarized Weight Networks.

Bokyung Kim, Edward Hanson, Hai Li

IEEE Trans. Circuits Syst. II Express Briefs, 2021

ESCALATE: Boosting the Efficiency of Sparse CNN Accelerator with Kernel Decomposition.

Shiyu Li, Edward Hanson, Xuehai Qian, Hai (Helen) Li, Yiran Chen

Proceedings of the MICRO '21: 54th Annual IEEE/ACM International Symposium on Microarchitecture, 2021

2020

PENNI: Pruned Kernel Sharing for Efficient CNN Inference.

Shiyu Li, Edward Hanson, Hai Li, Yiran Chen

Proceedings of the 37th International Conference on Machine Learning, 2020