Hongzheng Chen

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Hardware Implementation

Comprehensive Evaluation

Top Venues

Proc. ACM Program. Lang.

Publications

Hongzheng Chen, Cody Hao Yu, Shuai Zheng, Zhen Zhang, Zhiru Zhang, Yida Wang
Slapo: A Schedule Language for Progressive Optimization of Large Deep Learning Model Training. ASPLOS (2) (2024)
Hongzheng Chen, Jiahao Zhang, Yixiao Du, Shaojie Xiang, Zichao Yue, Niansong Zhang, Yaohui Cai, Zhiru Zhang
A Comprehensive Evaluation of FPGA-Based Spatial Acceleration of LLMs. FPGA (2024)
Hongzheng Chen, Niansong Zhang, Shaojie Xiang, Zhichen Zeng, Mengjia Dai, Zhiru Zhang
Allo: A Programming Model for Composable Accelerator Design. Proc. ACM Program. Lang. 8 (PLDI) (2024)
Louis-Noël Pouchet, Emily Tucker, Niansong Zhang, Hongzheng Chen, Debjit Pal, Gabriel Rodríguez, Zhiru Zhang
Formal Verification of Source-to-Source Transformations for HLS. FPGA (2024)
Hongzheng Chen, Niansong Zhang, Shaojie Xiang, Zhichen Zeng, Mengjia Dai, Zhiru Zhang
Allo: A Programming Model for Composable Accelerator Design. CoRR (2024)
Tianfeng Liu, Yangrui Chen, Dan Li, Chuan Wu, Yibo Zhu, Jun He, Yanghua Peng, Hongzheng Chen, Hongzhi Chen, Chuanxiong Guo
BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing. NSDI (2023)
Hongzheng Chen, Jiahao Zhang, Yixiao Du, Shaojie Xiang, Zichao Yue, Niansong Zhang, Yaohui Cai, Zhiru Zhang
Understanding the Potential of FPGA-Based Spatial Acceleration for Large Language Model Inference. CoRR (2023)
Hongzheng Chen, Cody Hao Yu, Shuai Zheng, Zhen Zhang, Zhiru Zhang, Yida Wang
Decoupled Model Schedule for Deep Learning Training. CoRR (2023)
Shaojie Xiang, Yi-Hsiang Lai, Yuan Zhou, Hongzheng Chen, Niansong Zhang, Debjit Pal, Zhiru Zhang
HeteroFlow: An Accelerator Programming Model with Decoupled Data Placement for Software-Defined FPGAs. FPGA (2022)
Yaohui Cai, Weizhe Hua, Hongzheng Chen, G. Edward Suh, Christopher De Sa, Zhiru Zhang
Structured Pruning is All You Need for Pruning CNNs at Initialization. CoRR (2022)
Debjit Pal, Yi-Hsiang Lai, Shaojie Xiang, Niansong Zhang, Hongzheng Chen, Jeremy Casas, Pasquale Cocchini, Zhenkun Yang, Jin Yang, Louis-Noël Pouchet, Zhiru Zhang
Accelerator design with decoupled hardware customizations: benefits and challenges: invited. DAC (2022)
Tianfeng Liu, Yangrui Chen, Dan Li, Chuan Wu, Yibo Zhu, Jun He, Yanghua Peng, Hongzheng Chen, Hongzhi Chen, Chuanxiong Guo
BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing. CoRR (2021)
Hongzheng Chen, Minghua Shen, Nong Xiao, Yutong Lu
Krill: a compiler and runtime system for concurrent graph processing. SC (2021)
Yichi Zhang, Junhao Pan, Xinheng Liu, Hongzheng Chen, Deming Chen, Zhiru Zhang
FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations. FPGA (2021)
Yichi Zhang, Junhao Pan, Xinheng Liu, Hongzheng Chen, Deming Chen, Zhiru Zhang
FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations. CoRR (2020)
Minghua Shen, Hongzheng Chen, Nong Xiao
Entropy-Directed Scheduling for FPGA High-Level Synthesis. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (10) (2020)
Hongzheng Chen, Minghua Shen
A Deep-Reinforcement-Learning-Based Scheduler for FPGA HLS. ICCAD (2019)
Hongzheng Chen, Minghua Shen
A Deep-Reinforcement-Learning-Based Scheduler for High-Level Synthesis. FPGA (2019)