Publications

Cocco: Hardware-Mapping Co-Exploration towards Memory Capacity-Communication Optimization

Zhanhong Tan, Zijian Zhu, Kaisheng Ma
In Proceedings of ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2024

PHEP: Paillier Homomorphic Encryption Processors for Privacy Preserving Applications in Cloud Computing

Guiming Shi, Yi Li, Xueqiang Wang, Zhanhong Tan, Dapeng Cao, Jingwei Cai, Yuchen Wei, Zehua Li, Yifu Wu, Wuke Zhang, Wei Xu, Kaisheng Ma
In Proceedings of IEEE Hot Chips 35 Symposium (HCS), 2023

A Scalable Multi‑Chiplet Deep Learning Accelerator with Hub‑Side 2.5D Heterogeneous Integration

Zhanhong Tan, Yifu Wu, Yannian Zhang, Haobing Shi, Wuke Zhang, Jingwei Cai, Kaisheng Ma
In Proceedings of IEEE Hot Chips 35 Symposium (HCS), 2023

A 28nm 68MOPS 0.18μJ/Op Paillier Homomorphic Encryption Processor with Bit-Serial Sparse Ciphertext Computing

Guiming Shi, Zhanhong Tan, Dapeng Cao, Jingwei Cai, Wuke Zhang, Yifu Wu, Kaisheng Ma
In Proceedings of IEEE International Solid-State Circuits Conference (ISSCC), 2023

YOLoC: Deploy Large-Scale Neural Networks by ROM-based Computing-in-Memory using Residual Branch on a Chip

Yiming Chen, Guodong Yin, Zhanhong Tan, Mingyen Lee, Hongyang Chen, Zekun Yang, Yongpan Liu, Huazhong Yang, Kaisheng Ma, Xueqing Li
In Proceedings of 59th Design Automation Conference (DAC), 2022

Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks

Runpei Dong, Zhanhong Tan, Mengdi Wu, Kaisheng Ma
In Proceedings of 39th International Conference on Machine Learning (ICML), 2022

NN-Baton: DNN Workload Orchestration and Chiplet Granularity Exploration for Multichip Accelerators

Zhanhong Tan, Hongyu Cai, Runpei Dong, Kaisheng Ma
In Proceedings of Annual International Symposium on Computer Architecture (ISCA), 2021

A 400MHz NPU with 7.8 TOPS²/W High-Performance-Guaranteed Efficiency in 55nm for Multi-Mode Pruning and Diverse Quantization Using Pattern-Kernel Encoding and Reconfigurable MAC Units

Zhanhong Tan, Sia-Huat Tan, Jan-Henrik Lambrechts, Yannian Zhang, Yifu Wu, Kaisheng Ma
In Proceedings of IEEE Custom Integrated Circuits Conference (CICC), 2021

PCNN: Pattern-based Fine-Grained Regular Pruning Towards Optimizing CNN Accelerators

Zhanhong Tan, Jiebo Song, Xiaolong Ma, Sia-Huat Tan, Hongyang Chen, Yuanqing Miao, Yifu Wu, Shaokai Ye, Yanzhi Wang, Dehui Li, Kaisheng Ma
In Proceedings of 57th Design Automation Conference (DAC), 2020

SCAN: A Scalable Neural Networks Framework Towards Compact and Efficient Models

Linfeng Zhang, Zhanhong Tan, Jiebo Song, Jingwei Chen, Chenglong Bao, Kaisheng Ma
In Proceedings of 32nd Advances in Neural Information Processing Systems (NeurIPS), 2019