@misc{hardlab_fast_prefill,
  title = {{FAST-Prefill: FPGA Accelerated Sparse Attention for Long Context LLM Prefill}},
  author = {Rakshith Jayanth and Viktor Prasanna},
  year = {2026},
  eprint = {2602.20515},
  archivePrefix = {arXiv},
  doi = {10.48550/arXiv.2602.20515},
  url = {https://arxiv.org/abs/2602.20515},
  note = {External related work; metadata checked 2026-09-10}
}

@misc{hardlab_flexllm,
  title = {{FlexLLM: Composable HLS Library for Flexible Hybrid LLM Accelerator Design}},
  author = {Jiahao Zhang and Zifan He and Nicholas Fraser and Michaela Blott and Yizhou Sun and Jason Cong},
  year = {2026},
  eprint = {2601.15710},
  archivePrefix = {arXiv},
  doi = {10.48550/arXiv.2601.15710},
  url = {https://arxiv.org/abs/2601.15710},
  note = {External related work; metadata checked 2026-09-10}
}

@misc{hardlab_lut_llm,
  title = {{LUT-LLM: Efficient Large Language Model Inference with Memory-based Computations on FPGAs}},
  author = {Zifan He and Shengyu Ye and Rui Ma and Yang Wang and Jason Cong},
  year = {2025},
  eprint = {2511.06174},
  archivePrefix = {arXiv},
  doi = {10.48550/arXiv.2511.06174},
  url = {https://arxiv.org/abs/2511.06174},
  note = {External related work; metadata checked 2026-09-10}
}

@misc{hardlab_hummingbird,
  title = {{Hummingbird: A Smaller and Faster Large Language Model Accelerator on Embedded FPGA}},
  author = {Jindong Li and Tenglong Li and Ruiqi Chen and Guobin Shen and Dongcheng Zhao and Qian Zhang and Yi Zeng},
  year = {2025},
  eprint = {2507.03308},
  archivePrefix = {arXiv},
  doi = {10.48550/arXiv.2507.03308},
  url = {https://arxiv.org/abs/2507.03308},
  note = {External related work; metadata checked 2026-09-10}
}

@misc{hardlab_flightllm,
  title = {{FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs}},
  author = {Shulin Zeng and Jun Liu and Guohao Dai and Xinhao Yang and Tianyu Fu and Hongyi Wang and Wenheng Ma and Hanbo Sun and Shiyao Li and Zixiao Huang and Yadong Dai and Jintao Li and Zehao Wang and Ruoyu Zhang and Kairui Wen and Xuefei Ning and Yu Wang},
  year = {2024},
  eprint = {2401.03868},
  archivePrefix = {arXiv},
  doi = {10.48550/arXiv.2401.03868},
  url = {https://arxiv.org/abs/2401.03868},
  note = {External related work; metadata checked 2026-09-10}
}