Changhai Man

15 papers A* 1A 3Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
SCALE-Sim TPU: Validating and Extending SCALE-Sim for TPUs.
CoRR
Jingtian Dang, Ritik Raj, Changhai Man, Jianming Tong, Tushar Krishna
2025 J jnl
COSMIC: Enabling Full-Stack Co-Design and Optimization of Distributed Machine Learning Systems.
CoRR
Aditi Raju, Jared Ni, William Won, Changhai Man, Srivatsan Krishnan, Srinivas Sridharan, Amir Yazdanbakhsh, Tushar Krishna, Vijay Janapa Reddi
2025 A* conf
LayerDAG: A Layerwise Autoregressive Diffusion Model for Directed Acyclic Graph Generation.
ICLR
Mufei Li, Viraj Shitole, Eli Chien, Changhai Man, Zhaodong Wang, Srinivas, Ying Zhang, Tushar Krishna, Pan Li
2025 J jnl
STAGE: A Symbolic Tensor grAph GEnerator for distributed AI system co-design.
CoRR
Changhai Man, Joongun Park, Hanjiang Wu, Huan Xu, Srinivas Sridharan, Tushar Krishna
2024 J jnl
LayerDAG: A Layerwise Autoregressive Diffusion Model for Directed Acyclic Graph Generation.
CoRR
Mufei Li, Viraj Shitole, Eli Chien, Changhai Man, Zhaodong Wang, Srinivas Sridharan, Ying Zhang, Tushar Krishna, Pan Li
2023 J jnl
Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces.
CoRR
Srinivas Sridharan, Taekyung Heo, Louis Feng, Zhaodong Wang, Matt Bergeron, Wenyin Fu, Shengbao Zheng, Brian Coutinho, Saeed Rashidi, Changhai Man, Tushar Krishna
2023 A conf
RankSearch: An Automatic Rank Search Towards Optimal Tensor Compression for Video LSTM Networks on Edge.
DATE
Changhai Man, Cheng Chang, Chenchen Ding, Ao Shen, Hongwei Ren, Ziyi Guan, Yuan Cheng, Shaobo Luo, Rumin Zhang, Ngai Wong, Hao Yu
2023 J jnl
Reliability Exploration of System-on-Chip With Multi-Bit-Width Accelerator for Multi-Precision Deep Neural Networks.
IEEE Trans. Circuits Syst. I Regul. Pap.
Quan Cheng, Mingqiang Huang, Changhai Man, Ao Shen, Liuyao Dai, Hao Yu, Masanori Hashimoto
2023 — conf
TT-LCD: Tensorized-Transformer based Loop Closure Detection for Robotic Visual SLAM on Edge.
ICARM
Chenchen Ding, Hongwei Ren, Zhiru Guo, Minjie Bi, Changhai Man, Tingting Wang, Shuwei Li, Shaobo Luo, Rumin Zhang, Hao Yu
2022 J jnl
A Fall Detection Network by 2D/3D Spatio-temporal Joint Models with Tensor Compression on Edge.
ACM Trans. Embed. Comput. Syst.
Shuwei Li, Changhai Man, Ao Shen, Ziyi Guan, Wei Mao, Shaobo Luo, Rumin Zhang, Hao Yu
2022 J jnl
A High Performance Multi-Bit-Width Booth Vector Systolic Accelerator for NAS Optimized Deep Learning Neural Networks.
IEEE Trans. Circuits Syst. I Regul. Pap.
Mingqiang Huang, Yucen Liu, Changhai Man, Kai Li, Quan Cheng, Wei Mao, Hao Yu
2022 A conf
A High Throughput Multi-bit-width 3D Systolic Accelerator for NAS Optimized Deep Neural Networks on FPGA.
FPGA
Mingqiang Huang, Yucen Liu, Quan Cheng, Shuxin Yang, Kai Li, Junyi Luo, Zhengke Yang, Qiufeng Li, Hao Yu, Changhai Man
2022 J jnl
An Energy-Efficient Mixed-Bit CNN Accelerator With Column Parallel Readout for ReRAM-Based In-Memory Computing.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Dingbang Liu, Haoxiang Zhou, Wei Mao, Jun Liu, Yuliang Han, Changhai Man, Qiuping Wu, Zhiru Guo, Mingqiang Huang, Shaobo Luo, Mingsong Lv, Quan Chen, Hao Yu
2022 — conf
Hierarchical DNN with Heterogeneous Computing Enabled High-Performance DNA Sequencing.
APCCAS
Shaobo Luo, Zhiyuan Xie, Gengxin Chen, Lei Cui, Mei Yan, Xiwei Huang, Shuwei Li, Changhai Man, Wei Mao, Hao Yu
2021 A conf
A Video-based Fall Detection Network by Spatio-temporal Joint-point Model on Edge Devices.
DATE
Ziyi Guan, Shuwei Li, Yuan Cheng, Changhai Man, Wei Mao, Ngai Wong, Hao Yu