Hanchen Ye

According to our database, Hanchen Ye authored at least 11 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Subgraph Extraction-based Feedback-guided Iterative Scheduling for HLS.

Hanchen Ye, David Z. Pan, Chris Leary, Deming Chen, Xiaoqing Xu

CoRR, 2024

HIDA: A Hierarchical Dataflow Compiler for High-Level Synthesis.

Hanchen Ye, Hyegang Jun, Deming Chen

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

AutoScaleDSE: A Scalable Design Space Exploration Engine for High-Level Synthesis.

HyeGang Jun, Hanchen Ye, Hyunmin Jeong, Deming Chen

ACM Trans. Reconfigurable Technol. Syst., September, 2023

High-level Synthesis for Domain Specific Computing.

Hanchen Ye, HyeGang Jun, Jin Yang, Deming Chen

Proceedings of the 2023 International Symposium on Physical Design, 2023

CHARM: Composing Heterogeneous AcceleRators for Matrix Multiply on Versal ACAP Architecture.

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

Proceedings of the 2023 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2023

2022

ScaleHLS: A New Scalable High-Level Synthesis Framework on Multi-Level Intermediate Representation.

Hanchen Ye, Cong Hao, Jianyi Cheng, Hyunmin Jeong, Jack Huang, Stephen Neuendorffer, Deming Chen

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2022

ScaleHLS: a scalable high-level synthesis framework with multi-level transformations and optimizations: invited.

Hanchen Ye, HyeGang Jun, Hyunmin Jeong, Stephen Neuendorffer, Deming Chen

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021

ScaleHLS: Scalable High-Level Synthesis through MLIR.

Hanchen Ye, Cong Hao, Jianyi Cheng, Hyunmin Jeong, Jack Huang, Stephen Neuendorffer, Deming Chen

CoRR, 2021

Being-ahead: Benchmarking and Exploring Accelerators for Hardware-Efficient AI Deployment.

Xiaofan Zhang, Hanchen Ye, Deming Chen

CoRR, 2021

2020

DNNExplorer: A Framework for Modeling and Exploring a Novel Paradigm of FPGA-based DNN Accelerator.

Xiaofan Zhang, Hanchen Ye, Junsong Wang, Yonghua Lin, Jinjun Xiong, Wen-Mei Hwu, Deming Chen

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

HybridDNN: A Framework for High-Performance Hybrid DNN Accelerator Design and Implementation.

Hanchen Ye, Xiaofan Zhang, Zhize Huang, Gengsheng Chen, Deming Chen

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020