个人学习笔记：学术论文参考文献记录

• [1] Unit Scaling: Out-of-the-Box Low-Precision Training

  Charlie Blake, Douglas Orr, and Carlo Luschi. 2023. In Proceedings of the 40th International Conference on Machine Learning (Honolulu, Hawaii, USA) (ICML’23). JMLR.org, Article 108, 29 pages.

• [2] A Practical Automatic Polyhedral Parallelizer and Locality Optimizer

  Uday Bondhugula, Albert Hartono, J. Ramanujam, and P. Sadayappan. 2008. SIGPLAN Not. 43, 6 (June 2008), 101–113. https://doi.org/10.1145/1379022.1375595

• [3] Language Models are Few-Shot Learners

  Tom B. Brown, Benjamin Mann, Nick Ryder, et al. 2020. ArXiv abs/2005.14165 (2020). https://arxiv.org/abs/2005.14165

• [4] QuIP: 2-bit Quantization of Large Language Models with Guarantees

  Jerry Chee, Yaohui Cai, Volodymyr Kuleshov, and Christopher De Sa. 2024. In Proceedings of the 37th International Conference on Neural Information Processing Systems (New Orleans, LA, USA) (NIPS ’23). Curran Associates Inc., Red Hook, NY, USA, Article 196, 34 pages.

• [5] Allo: A Programming Model for Composable Accelerator Design

  Hongzheng Chen, Niansong Zhang, Shaojie Xiang, Zhichen Zeng, Mengjia Dai, and Zhiru Zhang. 2024. Proc. ACM Program. Lang. 8, PLDI, Article 171 (jun 2024). https://doi.org/10.1145/3656401

• [6] PolySA: Polyhedral-Based Systolic Array AutoCompilation

  Jason Cong and Jie Wang. 2018. In 2018 IEEE/ACM International Conference on Computer-Aided Design (ICCAD). 1–8. https://doi.org/10.1145/3240765.3240838