Zhanhong Tan

According to our database, Zhanhong Tan authored at least 11 papers between 2019 and 2024.

Collaborative distances:

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

2024

Gemini: Mapping and Architecture Co-exploration for Large-scale DNN Chiplet Accelerators.

Jingwei Cai, Zuotong Wu, Sen Peng, Yuchen Wei, Zhanhong Tan, Guiming Shi, Mingyu Gao, Kaisheng Ma

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2024

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

Zhanhong Tan, Zijian Zhu, Kaisheng Ma

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

A 28nm 68MOPS 0.18\mu\mathrm{J}/\text{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

Proceedings of the IEEE International Solid- State Circuits Conference, 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, Kaisheng Ma

Proceedings of the 35th IEEE Hot Chips Symposium, 2023

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, Wuke Zhang, Yifu Wu, Wei Xu, Kaisheng Ma

Proceedings of the 35th IEEE Hot Chips Symposium, 2023

2022

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

Runpei Dong, Zhanhong Tan, Mengdi Wu, Linfeng Zhang, Kaisheng Ma

Proceedings of the International Conference on Machine Learning, 2022

YOLoC: deploy large-scale neural network by ROM-based computing-in-memory using residual branch on a chip.

Yiming Chen, Guodong Yin, Zhanhong Tan, Mingyen Lee, Zekun Yang, Yongpan Liu, Huazhong Yang, Kaisheng Ma, Xueqing Li

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021

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

Zhanhong Tan, Hongyu Cai, Runpei Dong, Kaisheng Ma

Proceedings of the 48th ACM/IEEE Annual International Symposium on Computer Architecture, 2021

A 400MHz NPU with 7.8TOPS²/W High-PerformanceGuaranteed 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

Proceedings of the IEEE Custom Integrated Circuits Conference, 2021

2020

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

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

2019

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

Linfeng Zhang, Zhanhong Tan, Jiebo Song, Jingwei Chen, Chenglong Bao, Kaisheng Ma

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019