1 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.AR2025★ 1 cited
Dataflow & Tiling Strategies in Edge-AI FPGA Accelerators: A Comprehensive Literature Review
Richie Li
Edge-AI applications demand high-throughput, low-latency inference on FPGAs under tight resource and power constraints. This survey provides a comprehensive review of two key archi…
cs.AR2025★ 1 cited
Design and Implementation of an FPGA-Based Hardware Accelerator for Transformer
Richie Li, Sicheng Chen
Transformer-based large language models (LLMs) rely heavily on intensive matrix multiplications for attention and feed-forward layers, with the Q, K, and V linear projections in th…