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2020 – today
- 2024
[j5]Alec Lu
, Jahanvi Narendra Agrawal, Zhenman Fang:
SQL2FPGA: Automated Acceleration of SQL Query Processing on Modern CPU-FPGA Platforms. ACM Trans. Reconfigurable Technol. Syst. 17(3): 39:1-39:28 (2024)- [c14]Abdul Wadood, Alec Lu, Ken Zhang, Zhenman Fang:
FORC: A High-Throughput Streaming FPGA Accelerator for Optimized Row Columnar File Decoders in Big Data Engines. FPL 2024: 318-324 - [c13]Kenneth Liu, Alec Lu, Zhenman Fang:
BitBlender: Scalable Bloom Filter Acceleration on FPGAs with Dynamic Scheduling. FPL 2024: 325-331 - [c12]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:
Quasar-ViT: Hardware-Oriented Quantization-Aware Architecture Search for Vision Transformers. ICS 2024: 324-337 - [i4]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:
Quasar-ViT: Hardware-Oriented Quantization-Aware Architecture Search for Vision Transformers. CoRR abs/2407.18175 (2024) - 2023
- [j4]Xingyu Tian, Zhifan Ye, Alec Lu, Licheng Guo, Yuze Chi, Zhenman Fang:
SASA: A Scalable and Automatic Stencil Acceleration Framework for Optimized Hybrid Spatial and Temporal Parallelism on HBM-based FPGAs. ACM Trans. Reconfigurable Technol. Syst. 16(2): 28:1-28:33 (2023) - [j3]Kenneth Liu, Alec Lu, Kartik Samtani, Zhenman Fang, Licheng Guo:
CHIP-KNNv2: A Configurable and High-Performance K-Nearest Neighbors Accelerator on HBM-based FPGAs. ACM Trans. Reconfigurable Technol. Syst. 16(4): 62:1-62:26 (2023) - [c11]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:
ESRU: Extremely Low-Bit and Hardware-Efficient Stochastic Rounding Unit Design for Low-Bit DNN Training. DATE 2023: 1-6 - [c10]Alec Lu, Zhenman Fang:
SQL2FPGA: Automatic Acceleration of SQL Query Processing on Modern CPU-FPGA Platforms. FCCM 2023: 184-194 - [c9]Peiyan Dong, Mengshu Sun, Alec Lu, Yanyue Xie, Kenneth Liu, Zhenglun Kong, Xin Meng, Zhengang Li, Xue Lin, Zhenman Fang, Yanzhi Wang:
HeatViT: Hardware-Efficient Adaptive Token Pruning for Vision Transformers. HPCA 2023: 442-455 - 2022
- [j2]Eric Matthews, Alec Lu, Zhenman Fang, Lesley Shannon:
Quick-Div: Rethinking Integer Divider Design for FPGA-based Soft-processors. ACM Trans. Reconfigurable Technol. Syst. 15(3): 32:1-32:27 (2022) - [j1]Alec Lu, Zhenman Fang, Lesley Shannon:
Demystifying the Soft and Hardened Memory Systems of Modern FPGAs for Software Programmers through Microbenchmarking. ACM Trans. Reconfigurable Technol. Syst. 15(4): 43:1-43:33 (2022) - [c8]Mengshu Sun, Zhengang Li, Alec Lu, Haoyu Ma, Geng Yuan, Yanyue Xie, Hao Tang, Yanyu Li, Miriam Leeser, Zhangyang Wang, Xue Lin, Zhenman Fang:
FPGA-aware automatic acceleration framework for vision transformer with mixed-scheme quantization: late breaking results. DAC 2022: 1394-1395 - [c7]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:
Hardware-efficient stochastic rounding unit design for DNN training: late breaking results. DAC 2022: 1396-1397 - [c6]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:
You Already Have It: A Generator-Free Low-Precision DNN Training Framework Using Stochastic Rounding. ECCV (12) 2022: 34-51 - [c5]Mengshu Sun, Zhengang Li, Alec Lu, Yanyu Li, Sung-En Chang, Xiaolong Ma, Xue Lin, Zhenman Fang:
FILM-QNN: Efficient FPGA Acceleration of Deep Neural Networks with Intra-Layer, Mixed-Precision Quantization. FPGA 2022: 134-145 - [c4]Zhengang Li, Mengshu Sun, Alec Lu, Haoyu Ma, Geng Yuan, Yanyue Xie, Hao Tang, Yanyu Li, Miriam Leeser, Zhangyang Wang, Xue Lin, Zhenman Fang:
Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization. FPL 2022: 109-116 - [i3]Zhengang Li, Mengshu Sun, Alec Lu, Haoyu Ma, Geng Yuan, Yanyue Xie, Hao Tang, Yanyu Li, Miriam Leeser, Zhangyang Wang, Xue Lin, Zhenman Fang:
Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization. CoRR abs/2208.05163 (2022) - [i2]Xingyu Tian, Zhifan Ye, Alec Lu, Licheng Guo, Yuze Chi, Zhenman Fang:
SASA: A Scalable and Automatic Stencil Acceleration Framework for Optimized Hybrid Spatial and Temporal Parallelism on HBM-based FPGAs. CoRR abs/2208.10770 (2022) - [i1]Peiyan Dong, Mengshu Sun, Alec Lu, Yanyue Xie, Kenneth Liu, Zhenglun Kong, Xin Meng, Zhengang Li, Xue Lin, Zhenman Fang, Yanzhi Wang:
HeatViT: Hardware-Efficient Adaptive Token Pruning for Vision Transformers. CoRR abs/2211.08110 (2022) - 2021
- [c3]Alec Lu, Zhenman Fang, Weihua Liu, Lesley Shannon:
Demystifying the Memory System of Modern Datacenter FPGAs for Software Programmers through Microbenchmarking. FPGA 2021: 105-115 - 2020
- [c2]Alec Lu, Zhenman Fang, Nazanin Farahpour, Lesley Shannon:
CHIP-KNN: A Configurable and High-Performance K-Nearest Neighbors Accelerator on Cloud FPGAs. FPT 2020: 139-147
2010 – 2019
- 2019
- [c1]Eric Matthews, Alec Lu, Zhenman Fang, Lesley Shannon:
Rethinking Integer Divider Design for FPGA-Based Soft-Processors. FCCM 2019: 289-297
Coauthor Index
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