Hongzheng Chen

27 papers A* 2A 9Misc 1Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Magellan: Autonomous Discovery of Novel Compiler Optimization Heuristics with AlphaEvolve. CoRR Hongzheng Chen, Alexander Novikov, Ngân Vu, Hanna Alam, Zhiru Zhang, Aiden Grossman, Mircea Trofin, Amir Yazdanbakhsh
2026	A	`conf`	Tawa: Automatic Warp Specialization for Modern GPUs with Asynchronous References. CGO Hongzheng Chen, Bin Fan, Alexander Collins, Bastian Hagedorn, Evghenii Gaburov, Masahiro Masuda, Matthew Brookhart, Chris Sullivan, Jason Knight, Zhiru Zhang, Vinod Grover
2025	A	`conf`	ARIES: An Agile MLIR-Based Compilation Flow for Reconfigurable Devices with AI Engines. FPGA Jinming Zhuang, Shaojie Xiang, Hongzheng Chen, Niansong Zhang, Zhuoping Yang, Tony Mao, Zhiru Zhang, Peipei Zhou
2025	A*	`conf`	Characterizing and Optimizing Realistic Workloads on a Commercial Compute-in-SRAM Device. MICRO Niansong Zhang, Wenbo Zhu, Courtney Golden, Dan Ilan, Hongzheng Chen, Christopher Batten, Zhiru Zhang
2025	J	`jnl`	Characterizing and Optimizing Realistic Workloads on a Commercial Compute-in-SRAM Device. CoRR Niansong Zhang, Wenbo Zhu, Courtney Golden, Dan Ilan, Hongzheng Chen, Christopher Batten, Zhiru Zhang
2025	J	`jnl`	Dato: A Task-Based Programming Model for Dataflow Accelerators. CoRR Shihan Fang, Hongzheng Chen, Niansong Zhang, Jiajie Li, Han Meng, Adrian Liu, Zhiru Zhang
2025	J	`jnl`	HeuriGym: An Agentic Benchmark for LLM-Crafted Heuristics in Combinatorial Optimization. CoRR Hongzheng Chen, Yingheng Wang, Yaohui Cai, Hins Hu, Jiajie Li, Shirley Huang, Chenhui Deng, Rongjian Liang, Shufeng Kong, Haoxing Ren, Samitha Samaranayake, Carla P. Gomes, Zhiru Zhang
2025	J	`jnl`	Tawa: Automatic Warp Specialization for Modern GPUs with Asynchronous References. CoRR Hongzheng Chen, Bin Fan, Alexander Collins, Bastian Hagedorn, Evghenii Gaburov, Masahiro Masuda, Matthew Brookhart, Chris Sullivan, Jason Knight, Zhiru Zhang, Vinod Grover
2025	J	`jnl`	Understanding the Potential of FPGA-based Spatial Acceleration for Large Language Model Inference. ACM Trans. Reconfigurable Technol. Syst. Hongzheng Chen, Jiahao Zhang, Yixiao Du, Shaojie Xiang, Zichao Yue, Niansong Zhang, Yaohui Cai, Zhiru Zhang
2024	A	`conf`	A Comprehensive Evaluation of FPGA-Based Spatial Acceleration of LLMs. FPGA Hongzheng Chen, Jiahao Zhang, Yixiao Du, Shaojie Xiang, Zichao Yue, Niansong Zhang, Yaohui Cai, Zhiru Zhang
2024	J	`jnl`	Allo: A Programming Model for Composable Accelerator Design. CoRR Hongzheng Chen, Niansong Zhang, Shaojie Xiang, Zhichen Zeng, Mengjia Dai, Zhiru Zhang
2024	J	`jnl`	Allo: A Programming Model for Composable Accelerator Design. Proc. ACM Program. Lang. Hongzheng Chen, Niansong Zhang, Shaojie Xiang, Zhichen Zeng, Mengjia Dai, Zhiru Zhang
2024	A	`conf`	Formal Verification of Source-to-Source Transformations for HLS. FPGA Louis-Noël Pouchet, Emily Tucker, Niansong Zhang, Hongzheng Chen, Debjit Pal, Gabriel Rodríguez, Zhiru Zhang
2024	—	`conf`	Slapo: A Schedule Language for Progressive Optimization of Large Deep Learning Model Training. ASPLOS (2) Hongzheng Chen, Cody Hao Yu, Shuai Zheng, Zhen Zhang, Zhiru Zhang, Yida Wang
2023	Misc	`conf`	BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing. NSDI Tianfeng Liu, Yangrui Chen, Dan Li, Chuan Wu, Yibo Zhu, Jun He, Yanghua Peng, Hongzheng Chen, Hongzhi Chen, Chuanxiong Guo
2023	J	`jnl`	Decoupled Model Schedule for Deep Learning Training. CoRR Hongzheng Chen, Cody Hao Yu, Shuai Zheng, Zhen Zhang, Zhiru Zhang, Yida Wang
2023	J	`jnl`	Understanding the Potential of FPGA-Based Spatial Acceleration for Large Language Model Inference. CoRR Hongzheng Chen, Jiahao Zhang, Yixiao Du, Shaojie Xiang, Zichao Yue, Niansong Zhang, Yaohui Cai, Zhiru Zhang
2022	A*	`conf`	Accelerator design with decoupled hardware customizations: benefits and challenges: invited. DAC Debjit Pal, Yi-Hsiang Lai, Shaojie Xiang, Niansong Zhang, Hongzheng Chen, Jeremy Casas, Pasquale Cocchini, Zhenkun Yang, Jin Yang, Louis-Noël Pouchet, Zhiru Zhang
2022	A	`conf`	HeteroFlow: An Accelerator Programming Model with Decoupled Data Placement for Software-Defined FPGAs. FPGA Shaojie Xiang, Yi-Hsiang Lai, Yuan Zhou, Hongzheng Chen, Niansong Zhang, Debjit Pal, Zhiru Zhang
2022	J	`jnl`	Structured Pruning is All You Need for Pruning CNNs at Initialization. CoRR Yaohui Cai, Weizhe Hua, Hongzheng Chen, G. Edward Suh, Christopher De Sa, Zhiru Zhang
2021	J	`jnl`	BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing. CoRR Tianfeng Liu, Yangrui Chen, Dan Li, Chuan Wu, Yibo Zhu, Jun He, Yanghua Peng, Hongzheng Chen, Hongzhi Chen, Chuanxiong Guo
2021	A	`conf`	FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations. FPGA Yichi Zhang, Junhao Pan, Xinheng Liu, Hongzheng Chen, Deming Chen, Zhiru Zhang
2021	A	`conf`	Krill: a compiler and runtime system for concurrent graph processing. SC Hongzheng Chen, Minghua Shen, Nong Xiao, Yutong Lu
2020	J	`jnl`	Entropy-Directed Scheduling for FPGA High-Level Synthesis. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Minghua Shen, Hongzheng Chen, Nong Xiao
2020	J	`jnl`	FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations. CoRR Yichi Zhang, Junhao Pan, Xinheng Liu, Hongzheng Chen, Deming Chen, Zhiru Zhang
2019	A	`conf`	A Deep-Reinforcement-Learning-Based Scheduler for FPGA HLS. ICCAD Hongzheng Chen, Minghua Shen
2019	A	`conf`	A Deep-Reinforcement-Learning-Based Scheduler for High-Level Synthesis. FPGA Hongzheng Chen, Minghua Shen