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Hanchen Ye

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2020 – today

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2024
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Jinming Zhuang, Jason Lau, Hanchen Ye, Zhuoping Yang, Shixin Ji, Jack Lo, Kristof Denolf, Stephen Neuendorffer, Alex K. Jones, Jingtong Hu, Yiyu Shi, Deming Chen, Jason Cong, Peipei Zhou:
CHARM 2.0: Composing Heterogeneous Accelerators for Deep Learning on Versal ACAP Architecture. ACM Trans. Reconfigurable Technol. Syst. 17(3): 51:1-51:31 (2024)
[c10]
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  - conf/aspdac/WanHLYWZC24
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Lily Jiaxin Wan, Yingbing Huang, Yuhong Li, Hanchen Ye, Jinghua Wang, Xiaofan Zhang, Deming Chen:
Invited Paper: Software/Hardware Co-design for LLM and Its Application for Design Verification. ASPDAC 2024: 435-441
[c9]
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Hanchen Ye, Hyegang Jun, Deming Chen:
HIDA: A Hierarchical Dataflow Compiler for High-Level Synthesis. ASPLOS (1) 2024: 215-230
[c8]
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Yingbing Huang, Lily Jiaxin Wan, Hanchen Ye, Manvi Jha, Jinghua Wang, Yuhong Li, Xiaofan Zhang, Deming Chen:
Invited: New Solutions on LLM Acceleration, Optimization, and Application. DAC 2024: 369:1-369:4
[c7]
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Hanchen Ye, David Z. Pan, Chris Leary, Deming Chen, Xiaoqing Xu:
Subgraph Extraction-Based Feedback-Guided Iterative Scheduling for HLS. DATE 2024: 1-6
[i9]
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  - journals/corr/abs-2401-12343
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Hanchen Ye, David Z. Pan, Chris Leary, Deming Chen, Xiaoqing Xu:
Subgraph Extraction-based Feedback-guided Iterative Scheduling for HLS. CoRR abs/2401.12343 (2024)
[i8]
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  - journals/corr/abs-2404-14469
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Yuhong Li, Yingbing Huang, Bowen Yang, Bharat Venkitesh, Acyr Locatelli, Hanchen Ye, Tianle Cai, Patrick Lewis, Deming Chen:
SnapKV: LLM Knows What You are Looking for Before Generation. CoRR abs/2404.14469 (2024)
[i7]
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  - journals/corr/abs-2406-10903
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Yingbing Huang, Lily Jiaxin Wan, Hanchen Ye, Manvi Jha, Jinghua Wang, Yuhong Li, Xiaofan Zhang, Deming Chen:
New Solutions on LLM Acceleration, Optimization, and Application. CoRR abs/2406.10903 (2024)
2023
[j1]
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  - journals/trets/JunYJC23
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HyeGang Jun, Hanchen Ye, Hyunmin Jeong, Deming Chen:
AutoScaleDSE: A Scalable Design Space Exploration Engine for High-Level Synthesis. ACM Trans. Reconfigurable Technol. Syst. 16(3): 46:1-46:30 (2023)
[c6]
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  - conf/fpga/ZhuangLYYDLDNJH23
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Jinming Zhuang, Jason Lau, Hanchen Ye, Zhuoping Yang, Yubo Du, Jack Lo, Kristof Denolf, Stephen Neuendorffer, Alex K. Jones, Jingtong Hu, Deming Chen, Jason Cong, Peipei Zhou:
CHARM: Composing Heterogeneous AcceleRators for Matrix Multiply on Versal ACAP Architecture. FPGA 2023: 153-164
[c5]
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  - conf/ispd/YeJYC23
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Hanchen Ye, HyeGang Jun, Jin Yang, Deming Chen:
High-level Synthesis for Domain Specific Computing. ISPD 2023: 211-219
[i6]
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  - journals/corr/abs-2301-02359
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Jinming Zhuang, Jason Lau, Hanchen Ye, Zhuoping Yang, Yubo Du, Jack Lo, Kristof Denolf, Stephen Neuendorffer, Alex K. Jones, Jingtong Hu, Deming Chen, Jason Cong, Peipei Zhou:
CHARM: Composing Heterogeneous Accelerators for Matrix Multiply on Versal ACAP Architecture. CoRR abs/2301.02359 (2023)
[i5]
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  - journals/corr/abs-2311-03379
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Hanchen Ye, HyeGang Jun, Deming Chen:
HIDA: A Hierarchical Dataflow Compiler for High-Level Synthesis. CoRR abs/2311.03379 (2023)
2022
[c4]
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  - conf/dac/YeJJNC22
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Hanchen Ye, HyeGang Jun, Hyunmin Jeong, Stephen Neuendorffer, Deming Chen:
ScaleHLS: a scalable high-level synthesis framework with multi-level transformations and optimizations: invited. DAC 2022: 1355-1358
[c3]
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  - conf/hpca/YeHCJHNC22
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Hanchen Ye, Cong Hao, Jianyi Cheng, Hyunmin Jeong, Jack Huang, Stephen Neuendorffer, Deming Chen:
ScaleHLS: A New Scalable High-Level Synthesis Framework on Multi-Level Intermediate Representation. HPCA 2022: 741-755
2021
[i4]
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  - journals/corr/abs-2104-02251
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Xiaofan Zhang, Hanchen Ye, Deming Chen:
Being-ahead: Benchmarking and Exploring Accelerators for Hardware-Efficient AI Deployment. CoRR abs/2104.02251 (2021)
[i3]
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  - journals/corr/abs-2107-11673
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Hanchen Ye, Cong Hao, Jianyi Cheng, Hyunmin Jeong, Jack Huang, Stephen Neuendorffer, Deming Chen:
ScaleHLS: Scalable High-Level Synthesis through MLIR. CoRR abs/2107.11673 (2021)
2020
[c2]
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  - conf/dac/YeZHCC20
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Hanchen Ye, Xiaofan Zhang, Zhize Huang, Gengsheng Chen, Deming Chen:
HybridDNN: A Framework for High-Performance Hybrid DNN Accelerator Design and Implementation. DAC 2020: 1-6
[c1]
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  - conf/iccad/ZhangYWLXHC20
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Xiaofan Zhang, Hanchen Ye, Junsong Wang, Yonghua Lin, Jinjun Xiong, Wen-Mei Hwu, Deming Chen:
DNNExplorer: A Framework for Modeling and Exploring a Novel Paradigm of FPGA-based DNN Accelerator. ICCAD 2020: 61:1-61:9
[i2]
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  - journals/corr/abs-2004-03804
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Hanchen Ye, Xiaofan Zhang, Zhize Huang, Gengsheng Chen, Deming Chen:
HybridDNN: A Framework for High-Performance Hybrid DNN Accelerator Design and Implementation. CoRR abs/2004.03804 (2020)
[i1]
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  - journals/corr/abs-2008-12745
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Xiaofan Zhang, Hanchen Ye, Junsong Wang, Yonghua Lin, Jinjun Xiong, Wen-Mei W. Hwu, Deming Chen:
DNNExplorer: A Framework for Modeling and Exploring a Novel Paradigm of FPGA-based DNN Accelerator. CoRR abs/2008.12745 (2020)

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