8 citations · 28 across the 19 of their papers we have counts for
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cs.AR2024
FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs
Shulin Zeng, Jun Liu, Guohao Dai +14
Transformer-based Large Language Models (LLMs) have made a significant impact on various domains. However, LLMs' efficiency suffers from both heavy computation and memory overheads…
cs.AR2022
Low hardware consumption, resolution-configurable Gray code oscillator time-to-digital converters implemented in 16nm, 20nm and 28nm FPGAs
Yu Wang, Wujun Xie, Haochang Chen +1
This paper presents a low hardware consumption, resolution-configurable, automatically calibrating Gray code oscillator time-to-digital converter (TDC) in Xilinx 16nm UltraScale+,…