Hanchen Ye

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 19

Top Topics

High Level Synthesis

Modular Architecture

Design Space Exploration

Top Venues

ACM Trans. Reconfigurable Technol. Syst.

Publications

Hanchen Ye, David Z. Pan, Chris Leary, Deming Chen, Xiaoqing Xu
Subgraph Extraction-based Feedback-guided Iterative Scheduling for HLS. CoRR (2024)
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)
Hanchen Ye, Hyegang Jun, Deming Chen
HIDA: A Hierarchical Dataflow Compiler for High-Level Synthesis. ASPLOS (1) (2024)
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 (2024)
Hanchen Ye, David Z. Pan, Chris Leary, Deming Chen, Xiaoqing Xu
Subgraph Extraction-Based Feedback-Guided Iterative Scheduling for HLS. DATE (2024)
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 (2024)
Hanchen Ye, HyeGang Jun, Deming Chen
HIDA: A Hierarchical Dataflow Compiler for High-Level Synthesis. CoRR (2023)
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 (2023)
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) (2023)
Hanchen Ye, HyeGang Jun, Jin Yang, Deming Chen
High-level Synthesis for Domain Specific Computing. ISPD (2023)
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)
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)
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)
Xiaofan Zhang, Hanchen Ye, Deming Chen
Being-ahead: Benchmarking and Exploring Accelerators for Hardware-Efficient AI Deployment. CoRR (2021)
Hanchen Ye, Cong Hao, Jianyi Cheng, Hyunmin Jeong, Jack Huang, Stephen Neuendorffer, Deming Chen
ScaleHLS: Scalable High-Level Synthesis through MLIR. CoRR (2021)
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 (2020)
Hanchen Ye, Xiaofan Zhang, Zhize Huang, Gengsheng Chen, Deming Chen
HybridDNN: A Framework for High-Performance Hybrid DNN Accelerator Design and Implementation. DAC (2020)
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)
Hanchen Ye, Xiaofan Zhang, Zhize Huang, Gengsheng Chen, Deming Chen
HybridDNN: A Framework for High-Performance Hybrid DNN Accelerator Design and Implementation. CoRR (2020)