Zhanhong Tan

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

Kaisheng Ma, Mengdi Wu, Runpei Dong, 2021, ICML.

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

Kaisheng Ma, Zhanhong Tan, Runpei Dong, 2021, 2021 ACM/IEEE 48th Annual International Symposium on Computer Architecture (ISCA).

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

Yanzhi Wang, Xiaolong Ma, Shaokai Ye, 2020, 2020 57th ACM/IEEE Design Automation Conference (DAC).

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

Kaisheng Ma, Linfeng Zhang, Chenglong Bao, 2019, NeurIPS.

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

Zhanhong Tan, Zijian Zhu, Kaisheng Ma, 2024, ASPLOS.

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

Zhanhong Tan, Jingwei Cai, Sen Peng, 2023, 2024 IEEE International Symposium on High-Performance Computer Architecture (HPCA).

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

Kaisheng Ma, Huazhong Yang, Yongpan Liu, 2022, DAC.