6 citations · 12 across the 3 of their papers we have counts for
3 papers
cs.AR2025
Memory-efficient Sketch Acceleration for Handling Large Network Flows on FPGAs
Zhaoyang Han, Yicheng Qian, Michael Zink +1
Sketch-based algorithms for network traffic monitoring have drawn increasing interest in recent years due to their sub-linear memory efficiency and high accuracy. As the volume of…
cs.AR2024★ 6 cited
LUTMUL: Exceed Conventional FPGA Roofline Limit by LUT-based Efficient Multiplication for Neural Network Inference
Yanyue Xie, Zhengang Li, Dana Diaconu +3
For FPGA-based neural network accelerators, digital signal processing (DSP) blocks have traditionally been the cornerstone for handling multiplications. This paper introduces LUTMU…
cs.CV2022★ 6 cited
Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization
Zhengang Li, Mengshu Sun, Alec Lu +9
Vision transformers (ViTs) are emerging with significantly improved accuracy in computer vision tasks. However, their complex architecture and enormous computation/storage demand i…