Alec Lu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
13
Venues
8
Active years
2019–2024
Best venue rank
A*
Where they publish
Papers
13 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | FPL | BitBlender: Scalable Bloom Filter Acceleration on FPGAs with Dynamic Scheduling. | Kenneth Liu, Alec Lu, Zhenman Fang |
| 2024 | FPL | 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 |
| 2024 | ICS | Quasar-ViT: Hardware-Oriented Quantization-Aware Architecture Search for Vision Transformers. | Zhengang Li, Alec Lu, Yanyue Xie, Zhenglun Kong, Mengshu Sun, Hao Tang, Zhong Jia Xue, Peiyan Dong, Caiwen Ding, Yanzhi Wang, Xue Lin, Zhenman Fang |
| 2023 | DATE | 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, Zhenman Fang, Yanzhi Wang |
| 2023 | FCCM | SQL2FPGA: Automatic Acceleration of SQL Query Processing on Modern CPU-FPGA Platforms. | Alec Lu, Zhenman Fang |
| 2023 | HPCA | 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, Zhenman Fang, Yanzhi Wang |
| 2022 | DAC | 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, Zhenman Fang, Yanzhi Wang |
| 2022 | DAC | 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, Yanyu Li, Miriam Leeser, Zhangyang Wang, Xue Lin, Zhenman Fang |
| 2022 | ECCV | 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, Zhenman Fang, Yanzhi Wang |
| 2022 | FPGA | 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, Zhenman Fang |
| 2022 | FPL | 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, Yanyu Li, Miriam Leeser, Zhangyang Wang, Xue Lin, Zhenman Fang |
| 2021 | FPGA | Demystifying the Memory System of Modern Datacenter FPGAs for Software Programmers through Microbenchmarking. | Alec Lu, Zhenman Fang, Weihua Liu, Lesley Shannon |
| 2019 | FCCM | Rethinking Integer Divider Design for FPGA-Based Soft-Processors. | Eric Matthews, Alec Lu, Zhenman Fang, Lesley Shannon |