Alec Lu

According to our database, Alec Lu authored at least 19 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., September, 2024

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

Proceedings of the 38th ACM International Conference on Supercomputing, 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

Proceedings of the 34th International Conference on Field-Programmable Logic and Applications, 2024

BitBlender: Scalable Bloom Filter Acceleration on FPGAs with Dynamic Scheduling.

Kenneth Liu, Alec Lu, Zhenman Fang

Proceedings of the 34th International Conference on Field-Programmable Logic and Applications, 2024

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., December, 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., June, 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, Zhenman Fang, Yanzhi Wang

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2023

SQL2FPGA: Automatic Acceleration of SQL Query Processing on Modern CPU-FPGA Platforms.

Alec Lu, Zhenman Fang

Proceedings of the 31st IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2023

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

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

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

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

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

Proceedings of the 32nd International Conference on Field-Programmable Logic and Applications, 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, Zhenman Fang

Proceedings of the FPGA '22: The 2022 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, Virtual Event, USA, 27 February 2022, 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, Zhenman Fang, Yanzhi Wang

Proceedings of the Computer Vision - ECCV 2022, 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, Yanyu Li, Miriam Leeser, Zhangyang Wang, Xue Lin, Zhenman Fang

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

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

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021

Demystifying the Memory System of Modern Datacenter FPGAs for Software Programmers through Microbenchmarking.

Alec Lu, Zhenman Fang, Weihua Liu, Lesley Shannon

Proceedings of the FPGA '21: The 2021 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, Virtual Event, USA, February 28, 2021

2020

CHIP-KNN: A Configurable and High-Performance K-Nearest Neighbors Accelerator on Cloud FPGAs.

Alec Lu, Zhenman Fang, Nazanin Farahpour, Lesley Shannon

Proceedings of the International Conference on Field-Programmable Technology, 2020

2019

Rethinking Integer Divider Design for FPGA-Based Soft-Processors.

Eric Matthews, Alec Lu, Zhenman Fang, Lesley Shannon

Proceedings of the 27th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2019