Jieming Yin

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 26

Top Topics

Convolutional Network

Wavelet Packet Decomposition

Top Venues

Publications

Liqiang Lu, Zizhang Luo, Size Zheng, Jieming Yin, Jason Cong, Yun Liang, Jianwei Yin
Rubick: A Unified Infrastructure for Analyzing, Exploring, and Implementing Spatial Architectures via Dataflow Decomposition. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43 (4) (2024)
Bingyao Li, Jieming Yin, Anup Holey, Youtao Zhang, Jun Yang, Xulong Tang
Trans-FW: Short Circuiting Page Table Walk in Multi-GPU Systems via Remote Forwarding. HPCA (2023)
Siwei Tan, Congliang Lang, Liang Xiang, Shudi Wang, Xinghui Jia, Ziqi Tan, Tingting Li, Jieming Yin, Yongheng Shang, Andre Python, Liqiang Lu, Jianwei Yin
QuCT: A Framework for Analyzing Quantum Circuit by Extracting Contextual and Topological Features. MICRO (2023)
Zizhang Luo, Liqiang Lu, Size Zheng, Jieming Yin, Jason Cong, Jianwei Yin, Yun Liang
Rubick: A Synthesis Framework for Spatial Architectures via Dataflow Decomposition. DAC (2023)
Xiaochen Hao, Zijian Ding, Jieming Yin, Yuan Wang, Yun Liang
ALEGO: Towards Cost-Aware Architecture and Integration Co-Design for Chiplet-based Spatial Accelerators. CoRR (2023)
Anlan Yu, Ning Lyu, Jieming Yin, Zhiyuan Yan, Wujie Wen
COLA: Orchestrating Error Coding and Learning for Robust Neural Network Inference Against Hardware Defects. ICML (2023)
Xiaobai Chen, Qiurun Hu, Fu Xiao, Jieming Yin
CompoundEye: A 0.24-4.17 TOPS Scalable Multi-Node DNN Processor for Image Recognition. ISCAS (2023)
Qi Liu, Jieming Yin, Wujie Wen, Chengmo Yang, Shi Sha
NeuroPots: Realtime Proactive Defense against Bit-Flip Attacks in Neural Networks. USENIX Security Symposium (2023)
Xiaochen Hao, Zijian Ding, Jieming Yin, Yuan Wang, Yun Liang
Monad: Towards Cost-Effective Specialization for Chiplet-Based Spatial Accelerators. ICCAD (2023)
Ran Ran, Nuo Xu, Wei Wang, Quan Gang, Jieming Yin, Wujie Wen
CryptoGCN: Fast and Scalable Homomorphically Encrypted Graph Convolutional Network Inference. CoRR (2022)
Ran Ran, Wei Wang, Quan Gang, Jieming Yin, Nuo Xu, Wujie Wen
CryptoGCN: Fast and Scalable Homomorphically Encrypted Graph Convolutional Network Inference. NeurIPS (2022)
Chixiao Chen, Jieming Yin, Yarui Peng, Maurizio Palesi, Wenxu Cao, Letian Huang, Amit Kumar Singh, Haocong Zhi, Xiaohang Wang
Design Challenges of Intrachiplet and Interchiplet Interconnection. IEEE Des. Test 39 (6) (2022)
Subhash Sethumurugan, Jieming Yin, John Sartori
Designing a Cost-Effective Cache Replacement Policy using Machine Learning. HPCA (2021)
Liqiang Lu, Naiqing Guan, Yuyue Wang, Liancheng Jia, Zizhang Luo, Jieming Yin, Jason Cong, Yun Liang
TENET: A Framework for Modeling Tensor Dataflow Based on Relation-centric Notation. ISCA (2021)
Liqiang Lu, Naiqing Guan, Yuyue Wang, Liancheng Jia, Zizhang Luo, Jieming Yin, Jason Cong, Yun Liang
TENET: A Framework for Modeling Tensor Dataflow Based on Relation-centric Notation. CoRR (2021)
Yuan Zhou, Hanyu Wang, Jieming Yin, Zhiru Zhang
Distilling Arbitration Logic from Traces using Machine Learning: A Case Study on NoC. DAC (2021)
Bingyao Li, Jieming Yin, Youtao Zhang, Xulong Tang
Improving Address Translation in Multi-GPUs via Sharing and Spilling aware TLB Design. MICRO (2021)
Jieming Yin, Subhash Sethumurugan, Yasuko Eckert, Chintan Patel, Alan Smith, Eric Morton, Mark Oskin, Natalie D. Enright Jerger, Gabriel H. Loh
Experiences with ML-Driven Design: A NoC Case Study. HPCA (2020)
Srikant Bharadwaj, Jieming Yin, Bradford M. Beckmann, Tushar Krishna
Kite: A Family of Heterogeneous Interposer Topologies Enabled via Accurate Interconnect Modeling. DAC (2020)
Jieming Yin, Antonia Zhai
In-Network Memory Access Ordering for Heterogeneous Multicore Systems. NOCS (2020)
Shuai Che, Jieming Yin
Northup: Divide-and-Conquer Programming in Systems with Heterogeneous Memories and Processors. IPDPS (2019)
Xiangwei Cai, Jieming Yin, Pingqiang Zhou
An orchestrated NoC prioritization mechanism for heterogeneous CPU-GPU systems. Integr. 65 (2019)
Anthony Gutierrez, Bradford M. Beckmann, Alexandru Dutu, Joseph Gross, Michael LeBeane, John Kalamatianos, Onur Kayiran, Matthew Poremba, Brandon Potter, Sooraj Puthoor, Matthew D. Sinclair, Mark Wyse, Jieming Yin, Xianwei Zhang, Akshay Jain, Timothy G. Rogers
Lost in Abstraction: Pitfalls of Analyzing GPUs at the Intermediate Language Level. HPCA (2018)
Jieming Yin, Zhifeng Lin, Onur Kayiran, Matthew Poremba, Muhammad Shoaib Bin Altaf, Natalie D. Enright Jerger, Gabriel H. Loh
Modular Routing Design for Chiplet-Based Systems. ISCA (2018)
Matthew Poremba, Itir Akgun, Jieming Yin, Onur Kayiran, Yuan Xie, Gabriel H. Loh
There and Back Again: Optimizing the Interconnect in Networks of Memory Cubes. ISCA (2017)
Jieming Yin, Onur Kayiran, Matthew Poremba, Natalie D. Enright Jerger, Gabriel H. Loh
Efficient synthetic traffic models for large, complex SoCs. HPCA (2016)
Jieming Yin, Pingqiang Zhou, Sachin S. Sapatnekar, Antonia Zhai
Energy-Efficient Time-Division Multiplexed Hybrid-Switched NoC for Heterogeneous Multicore Systems. IPDPS (2014)
Jieming Yin, Pingqiang Zhou, Anup Holey, Sachin S. Sapatnekar, Antonia Zhai
Energy-efficient non-minimal path on-chip interconnection network for heterogeneous systems. ISLPED (2012)
Pingqiang Zhou, Jieming Yin, Antonia Zhai, Sachin S. Sapatnekar
NoC frequency scaling with flexible-pipeline routers. ISLPED (2011)