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Journal Articles
- 2024
[j3]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): 1177-1190 (2024)- 2022
- [j2]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): 99-109 (2022) - 2019
- [j1]Xiangwei Cai, Jieming Yin, Pingqiang Zhou:
An orchestrated NoC prioritization mechanism for heterogeneous CPU-GPU systems. Integr. 65: 344-350 (2019)
Conference and Workshop Papers
- 2023
- [c23]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: 1-6 - [c22]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: 456-470 - [c21]Xiaochen Hao, Zijian Ding, Jieming Yin, Yuan Wang, Yun Liang:
Monad: Towards Cost-Effective Specialization for Chiplet-Based Spatial Accelerators. ICCAD 2023: 1-9 - [c20]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: 40277-40289 - [c19]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: 1-5 - [c18]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: 494-508 - [c17]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: 6347-6364 - 2022
- [c16]Ran Ran, Wei Wang, Quan Gang, Jieming Yin, Nuo Xu, Wujie Wen:
CryptoGCN: Fast and Scalable Homomorphically Encrypted Graph Convolutional Network Inference. NeurIPS 2022 - 2021
- [c15]Yuan Zhou, Hanyu Wang, Jieming Yin, Zhiru Zhang:
Distilling Arbitration Logic from Traces using Machine Learning: A Case Study on NoC. DAC 2021: 55-60 - [c14]Subhash Sethumurugan, Jieming Yin, John Sartori:
Designing a Cost-Effective Cache Replacement Policy using Machine Learning. HPCA 2021: 291-303 - [c13]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: 720-733 - [c12]Bingyao Li, Jieming Yin, Youtao Zhang, Xulong Tang:
Improving Address Translation in Multi-GPUs via Sharing and Spilling aware TLB Design. MICRO 2021: 1154-1168 - 2020
- [c11]Srikant Bharadwaj, Jieming Yin, Bradford M. Beckmann, Tushar Krishna:
Kite: A Family of Heterogeneous Interposer Topologies Enabled via Accurate Interconnect Modeling. DAC 2020: 1-6 - [c10]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: 637-648 - [c9]Jieming Yin, Antonia Zhai:
In-Network Memory Access Ordering for Heterogeneous Multicore Systems. NOCS 2020: 1-8 - 2019
- [c8]Shuai Che, Jieming Yin:
Northup: Divide-and-Conquer Programming in Systems with Heterogeneous Memories and Processors. IPDPS 2019: 335-344 - 2018
- [c7]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: 608-619 - [c6]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: 726-738 - 2017
- [c5]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: 678-690 - 2016
- [c4]Jieming Yin, Onur Kayiran, Matthew Poremba, Natalie D. Enright Jerger, Gabriel H. Loh:
Efficient synthetic traffic models for large, complex SoCs. HPCA 2016: 297-308 - 2014
- [c3]Jieming Yin, Pingqiang Zhou, Sachin S. Sapatnekar, Antonia Zhai:
Energy-Efficient Time-Division Multiplexed Hybrid-Switched NoC for Heterogeneous Multicore Systems. IPDPS 2014: 293-303 - 2012
- [c2]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: 57-62 - 2011
- [c1]Pingqiang Zhou, Jieming Yin, Antonia Zhai, Sachin S. Sapatnekar:
NoC frequency scaling with flexible-pipeline routers. ISLPED 2011: 403-408
Informal and Other Publications
- 2023
- [i3]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 abs/2302.11256 (2023) - 2022
- [i2]Ran Ran, Nuo Xu, Wei Wang, Quan Gang, Jieming Yin, Wujie Wen:
CryptoGCN: Fast and Scalable Homomorphically Encrypted Graph Convolutional Network Inference. CoRR abs/2209.11904 (2022) - 2021
- [i1]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 abs/2105.01892 (2021)
Coauthor Index
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