Hongzheng Chen
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FracBNN: Accurate and FPGA-efficient binary neural networks with fractional activations
Y Zhang, J Pan, X Liu, H Chen, D Chen, Z Zhang
The 2021 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays …, 2021
BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing
T Liu, Y Chen, D Li, C Wu, Y Zhu, J He, Y Peng, H Chen, H Chen, C Guo
20th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2023
Heteroflow: An Accelerator Programming Model with Decoupled Data Placement for Software-Defined FPGAs
S Xiang, YH Lai, Y Zhou, H Chen, N Zhang, D Pal, Z Zhang
Proceedings of the 2022 ACM/SIGDA International Symposium on Field …, 2022
Structured Pruning is All You Need for Pruning CNNs at Initialization
Y Cai, W Hua, H Chen, GE Suh, C De Sa, Z Zhang
arXiv preprint arXiv:2203.02549, 2022
Krill: A Compiler and Runtime System for Concurrent Graph Processing
H Chen, M Shen, N Xiao, Y Lu
Proceedings of the International Conference for High Performance Computing …, 2021
A Deep-Reinforcement-Learning-Based Scheduler for FPGA HLS
H Chen, M Shen
2019 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 1-8, 2019
Understanding the Potential of FPGA-Based Spatial Acceleration for Large Language Model Inference
H Chen, J Zhang, Y Du, S Xiang, Z Yue, N Zhang, Y Cai, Z Zhang
arXiv preprint arXiv:2312.15159, 2023
Slapo: A Schedule Language for Progressive Optimization of Large Deep Learning Model Training
H Chen, CH Yu, S Zheng, Z Zhang, Z Zhang, Y Wang
arXiv preprint arXiv:2302.08005, 2023
Accelerator Design with Decoupled Hardware Customizations: Benefits and Challenges
D Pal, YH Lai, S Xiang, N Zhang, H Chen, J Casas, P Cocchini, Z Yang, ...
Proceedings of the 59th ACM/IEEE Design Automation Conference, 1351-1354, 2022
Allo: A Programming Model for Composable Accelerator Design
H Chen, N Zhang, S Xiang, Z Zeng, M Dai, Z Zhang
arXiv preprint arXiv:2404.04815, 2024
A comprehensive evaluation of fpga-based spatial acceleration of llms
H Chen, J Zhang, Y Du, S Xiang, Z Yue, N Zhang, Y Cai, Z Zhang
Proceedings of the 2024 ACM/SIGDA International Symposium on Field …, 2024
Formal Verification of Source-to-Source Transformations for HLS
LN Pouchet, E Tucker, N Zhang, H Chen, D Pal, G Rodríguez, Z Zhang
Proceedings of the 2024 ACM/SIGDA International Symposium on Field …, 2024
Entropy-Directed Scheduling for FPGA High-Level Synthesis
M Shen, H Chen, N Xiao
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2019
A deep-reinforcement-learning-based scheduler for high-level synthesis
H Chen, M Shen
Proceedings of the 2019 ACM/SIGDA International Symposium on Field …, 2019
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