Rethinking Integer Divider Design for FPGA-Based Soft-Processors. - Eric Matthews; Alec Lu; Zhenman Fang; Lesley Shannon (FCCM, 2019)

CHIP-KNN: A Configurable and High-Performance K-Nearest Neighbors Accelerator on Cloud FPGAs. - Alec Lu; Zhenman Fang; Nazanin Farahpour; Lesley Shannon (FPT, 2020)

Demystifying the Memory System of Modern Datacenter FPGAs for Software Programmers through Microbenchmarking. - Alec Lu; Zhenman Fang; Weihua Liu; Lesley Shannon (FPGA, 2021)

Hardware-efficient stochastic rounding unit design for DNN training: late breaking results. - Sung-En Chang; Geng Yuan; Alec Lu; Mengshu Sun; Yanyu Li; Xiaolong Ma; Zhengang Li; Yanyue Xie; Minghai Qin; Xue Lin 001; Zhenman Fang; Yanzhi Wang (DAC, 2022)

FPGA-aware automatic acceleration framework for vision transformer with mixed-scheme quantization: late breaking results. - Mengshu Sun; Zhengang Li; Alec Lu; Haoyu Ma; Geng Yuan; Yanyue Xie; Hao Tang 005; Yanyu Li; Miriam Leeser; Zhangyang Wang; Xue Lin 001; Zhenman Fang (DAC, 2022)

You Already Have It: A Generator-Free Low-Precision DNN Training Framework Using Stochastic Rounding. - Geng Yuan; Sung-En Chang; Qing Jin; Alec Lu; Yanyu Li; Yushu Wu; Zhenglun Kong; Yanyue Xie; Peiyan Dong; Minghai Qin; Xiaolong Ma; Xulong Tang; et al. (ECCV (12), 2022)

FILM-QNN: Efficient FPGA Acceleration of Deep Neural Networks with Intra-Layer, Mixed-Precision Quantization. - Mengshu Sun; Zhengang Li; Alec Lu; Yanyu Li; Sung-En Chang; Xiaolong Ma; Xue Lin 001; Zhenman Fang (FPGA, 2022)

Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization. - Zhengang Li; Mengshu Sun; Alec Lu; Haoyu Ma; Geng Yuan; Yanyue Xie; Hao Tang 005; Yanyu Li; Miriam Leeser; Zhangyang Wang; Xue Lin 001; Zhenman Fang (FPL, 2022)

Demystifying the Soft and Hardened Memory Systems of Modern FPGAs for Software Programmers through Microbenchmarking. - Alec Lu; Zhenman Fang; Lesley Shannon (ACM Trans. Reconfigurable Technol. Syst., 2022)

Quick-Div: Rethinking Integer Divider Design for FPGA-based Soft-processors. - Eric Matthews; Alec Lu; Zhenman Fang; Lesley Shannon (ACM Trans. Reconfigurable Technol. Syst., 2022)

ESRU: Extremely Low-Bit and Hardware-Efficient Stochastic Rounding Unit Design for Low-Bit DNN Training. - Sung-En Chang; Geng Yuan; Alec Lu; Mengshu Sun; Yanyu Li; Xiaolong Ma; Zhengang Li; Yanyue Xie; Minghai Qin; Xue Lin 001; Zhenman Fang; Yanzhi Wang (DATE, 2023)

SQL2FPGA: Automatic Acceleration of SQL Query Processing on Modern CPU-FPGA Platforms. - Alec Lu; Zhenman Fang (FCCM, 2023)

HeatViT: Hardware-Efficient Adaptive Token Pruning for Vision Transformers. - Peiyan Dong; Mengshu Sun; Alec Lu; Yanyue Xie; Kenneth Liu; Zhenglun Kong; Xin Meng; Zhengang Li; Xue Lin 001; Zhenman Fang; Yanzhi Wang (HPCA, 2023)

SASA: A Scalable and Automatic Stencil Acceleration Framework for Optimized Hybrid Spatial and Temporal Parallelism on HBM-based FPGAs. - Xingyu Tian; Zhifan Ye; Alec Lu; Licheng Guo; Yuze Chi; Zhenman Fang (ACM Trans. Reconfigurable Technol. Syst., 2023)

CHIP-KNNv2: A Configurable and High-Performance K-Nearest Neighbors Accelerator on HBM-based FPGAs. - Kenneth Liu; Alec Lu; Kartik Samtani; Zhenman Fang; Licheng Guo (ACM Trans. Reconfigurable Technol. Syst., 2023)

BitBlender: Scalable Bloom Filter Acceleration on FPGAs with Dynamic Scheduling. - Kenneth Liu; Alec Lu; Zhenman Fang (FPL, 2024)

FORC: A High-Throughput Streaming FPGA Accelerator for Optimized Row Columnar File Decoders in Big Data Engines. - Abdul Wadood; Alec Lu; Ken Zhang; Zhenman Fang (FPL, 2024)

Quasar-ViT: Hardware-Oriented Quantization-Aware Architecture Search for Vision Transformers. - Zhengang Li; Alec Lu; Yanyue Xie; Zhenglun Kong; Mengshu Sun; Hao Tang 005; Zhong Jia Xue; Peiyan Dong; Caiwen Ding; Yanzhi Wang; Xue Lin 001; Zhenman Fang (ICS, 2024)

SQL2FPGA: Automated Acceleration of SQL Query Processing on Modern CPU-FPGA Platforms. - Alec Lu; Jahanvi Narendra Agrawal; Zhenman Fang (ACM Trans. Reconfigurable Technol. Syst., 2024)