Edward Hanson - RankMe

16 papers A* 5Journal 9Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Ecco: Improving Memory Bandwidth and Capacity for LLMs via Entropy-Aware Cache Compression. ISCA Feng Cheng, Cong Guo, Chiyue Wei, Junyao Zhang, Changchun Zhou, Edward Hanson, Jiaqi Zhang, Xiaoxiao Liu, Hai Li, Yiran Chen
2025	J	`jnl`	Ecco: Improving Memory Bandwidth and Capacity for LLMs via Entropy-aware Cache Compression. CoRR Feng Cheng, Cong Guo, Chiyue Wei, Junyao Zhang, Changchun Zhou, Edward Hanson, Jiaqi Zhang, Xiaoxiao Liu, Hai Helen Li, Yiran Chen
2024	J	`jnl`	Block-Wise Mixed-Precision Quantization: Enabling High Efficiency for Practical ReRAM-Based DNN Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 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
2024	J	`jnl`	NDRec: A Near-Data Processing System for Training Large-Scale Recommendation Models. IEEE Trans. Computers Shiyu Li, Yitu Wang, Edward Hanson, Andrew Chang, Yang-Seok Ki, Hai Li, Yiran Chen
2023	J	`jnl`	Analog, In-memory Compute Architectures for Artificial Intelligence. CoRR Patrick Bowen, Guy Regev, Nir Regev, Bruno Pedroni, Edward Hanson, Yiran Chen
2023	—	`conf`	Biologically Plausible Learning on Neuromorphic Hardware Architectures. MWSCAS Christopher Wolters, Brady Taylor, Edward Hanson, Xiaoxuan Yang, Ulf Schlichtmann, Yiran Chen
2023	J	`jnl`	Block-Wise Mixed-Precision Quantization: Enabling High Efficiency for Practical ReRAM-based DNN Accelerators. CoRR 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
2023	—	`conf`	DefT: Boosting Scalability of Deformable Convolution Operations on GPUs. ASPLOS (3) Edward Hanson, Mark Horton, Hai (Helen) Li, Yiran Chen
2023	J	`jnl`	DyNNamic: Dynamically Reshaping, High Data-Reuse Accelerator for Compact DNNs. IEEE Trans. Computers Edward Hanson, Shiyu Li, Xuehai Qian, Hai Helen Li, Yiran Chen
2023	A*	`conf`	Si-Kintsugi: Towards Recovering Golden-Like Performance of Defective Many-Core Spatial Architectures for AI. MICRO Edward Hanson, Shiyu Li, Guanglei Zhou, Feng Cheng, Yitu Wang, Rohan Bose, Hai Li, Yiran Chen
2022	J	`jnl`	Biologically Plausible Learning on Neuromorphic Hardware Architectures. CoRR Christopher Wolters, Brady Taylor, Edward Hanson, Xiaoxuan Yang, Ulf Schlichtmann, Yiran Chen
2022	A*	`conf`	Cascading structured pruning: enabling high data reuse for sparse DNN accelerators. ISCA Edward Hanson, Shiyu Li, Hai Helen Li, Yiran Chen
2021	J	`jnl`	An Efficient 3D ReRAM Convolution Processor Design for Binarized Weight Networks. IEEE Trans. Circuits Syst. II Express Briefs Bokyung Kim, Edward Hanson, Hai Li
2021	A*	`conf`	ESCALATE: Boosting the Efficiency of Sparse CNN Accelerator with Kernel Decomposition. MICRO Shiyu Li, Edward Hanson, Xuehai Qian, Hai (Helen) Li, Yiran Chen
2020	A*	`conf`	PENNI: Pruned Kernel Sharing for Efficient CNN Inference. ICML Shiyu Li, Edward Hanson, Hai Li, Yiran Chen
2020	J	`jnl`	PENNI: Pruned Kernel Sharing for Efficient CNN Inference. CoRR Shiyu Li, Edward Hanson, Hai Li, Yiran Chen