Hongzheng Chen

According to our database, Hongzheng Chen authored at least 15 papers between 2019 and 2024.

Collaborative distances:

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

2024

Allo: A Programming Model for Composable Accelerator Design.

Hongzheng Chen, Niansong Zhang, Shaojie Xiang, Zhichen Zeng, Mengjia Dai, Zhiru Zhang

CoRR, 2024

Formal Verification of Source-to-Source Transformations for HLS.

Louis-Noël Pouchet, Emily Tucker, Niansong Zhang, Hongzheng Chen, Debjit Pal, Gabriel Rodríguez, Zhiru Zhang

Proceedings of the 2024 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2024

A Comprehensive Evaluation of FPGA-Based Spatial Acceleration of LLMs.

Hongzheng Chen, Jiahao Zhang, Yixiao Du, Shaojie Xiang, Zichao Yue, Niansong Zhang, Yaohui Cai, Zhiru Zhang

Proceedings of the 2024 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2024

Slapo: A Schedule Language for Progressive Optimization of Large Deep Learning Model Training.

Hongzheng Chen, Cody Hao Yu, Shuai Zheng, Zhen Zhang, Zhiru Zhang, Yida Wang

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

2023

Understanding the Potential of FPGA-Based Spatial Acceleration for Large Language Model Inference.

Hongzheng Chen, Jiahao Zhang, Yixiao Du, Shaojie Xiang, Zichao Yue, Niansong Zhang, Yaohui Cai, Zhiru Zhang

CoRR, 2023

Decoupled Model Schedule for Deep Learning Training.

Hongzheng Chen, Cody Hao Yu, Shuai Zheng, Zhen Zhang, Zhiru Zhang, Yida Wang

CoRR, 2023

BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing.

Tianfeng Liu, Yangrui Chen, Dan Li, Chuan Wu, Yibo Zhu, Jun He, Yanghua Peng, Hongzheng Chen, Hongzhi Chen, Chuanxiong Guo

Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, 2023

2022

Structured Pruning is All You Need for Pruning CNNs at Initialization.

Yaohui Cai, Weizhe Hua, Hongzheng Chen, G. Edward Suh, Christopher De Sa, Zhiru Zhang

CoRR, 2022

HeteroFlow: An Accelerator Programming Model with Decoupled Data Placement for Software-Defined FPGAs.

Shaojie Xiang, Yi-Hsiang Lai, Yuan Zhou, Hongzheng Chen, Niansong Zhang, Debjit Pal, Zhiru Zhang

Proceedings of the FPGA '22: The 2022 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, Virtual Event, USA, 27 February 2022, 2022

Accelerator design with decoupled hardware customizations: benefits and challenges: invited.

Debjit Pal, Yi-Hsiang Lai, Shaojie Xiang, Niansong Zhang, Hongzheng Chen, Jeremy Casas, Pasquale Cocchini, Zhenkun Yang, Jin Yang, Louis-Noël Pouchet, Zhiru Zhang

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

2021

Krill: a compiler and runtime system for concurrent graph processing.

Hongzheng Chen, Minghua Shen, Nong Xiao, Yutong Lu

Proceedings of the International Conference for High Performance Computing, 2021

FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations.

Yichi Zhang, Junhao Pan, Xinheng Liu, Hongzheng Chen, Deming Chen, Zhiru Zhang

Proceedings of the FPGA '21: The 2021 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, Virtual Event, USA, February 28, 2021

2020

Entropy-Directed Scheduling for FPGA High-Level Synthesis.

Minghua Shen, Hongzheng Chen, Nong Xiao

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

2019

A Deep-Reinforcement-Learning-Based Scheduler for FPGA HLS.

Hongzheng Chen, Minghua Shen

Proceedings of the International Conference on Computer-Aided Design, 2019

A Deep-Reinforcement-Learning-Based Scheduler for High-Level Synthesis.

Hongzheng Chen, Minghua Shen

Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2019