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cs.AR2026
LUT-LLM: Efficient Large Language Model Inference with Memory-based Computations on FPGAs
Zifan He, Shengyu Ye, Rui Ma +2
The rapid development of large language models (LLM) has greatly enhanced everyday applications. While many FPGA-based accelerators, with flexibility for fine-grained data control,…
cs.AR2025
LUT-DLA: Lookup Table as Efficient Extreme Low-Bit Deep Learning Accelerator
Guoyu Li, Shengyu Ye, Chunyun Chen +6
The emergence of neural network capabilities invariably leads to a significant surge in computational demands due to expanding model sizes and increased computational complexity. T…