Glow: Graph Lowering Compiler Techniques for Neural Networks. - Nadav Rotem; Jordan Fix; Saleem Abdulrasool; Summer Deng; Roman Dzhabarov; James Hegeman; Roman Levenstein; Bert Maher; Nadathur Satish; Jakob Olesen; Jongsoo Park; Artem Rakhov; et al. (CoRR, 2018)

Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications. - Jongsoo Park; Maxim Naumov; Protonu Basu; Summer Deng; Aravind Kalaiah; Daya Shanker Khudia; James Law; Parth Malani; Andrey Malevich; Nadathur Satish; Juan Miguel Pino; Martin Schatz; et al. (CoRR, 2018)

FBGEMM: Enabling High-Performance Low-Precision Deep Learning Inference. - Daya Shanker Khudia; Jianyu Huang; Protonu Basu; Summer Deng; Haixin Liu; Jongsoo Park; Mikhail Smelyanskiy (CoRR, 2021)

First-Generation Inference Accelerator Deployment at Facebook. - Michael J. Anderson; Benny Chen; Stephen Chen; Summer Deng; Jordan Fix; Michael Gschwind; Aravind Kalaiah; Changkyu Kim; Jaewon Lee; Jason Liang; Haixin Liu; Yinghai Lu; et al. (CoRR, 2021)

Microscaling Data Formats for Deep Learning. - Bita Darvish Rouhani; Ritchie Zhao; Ankit More; Mathew Hall; Alireza Khodamoradi; Summer Deng; Dhruv Choudhary; Marius Cornea; Eric Dellinger; Kristof Denolf; Dusan Stosic; Venmugil Elango; et al. (CoRR, 2023)

Accelerating Communication in Deep Learning Recommendation Model Training with Dual-Level Adaptive Lossy Compression. - Hao Feng; Boyuan Zhang 002; Fanjiang Ye; Min Si; Ching-Hsiang Chu; Jiannan Tian; Chunxing Yin; Summer Deng; Yuchen Hao; Pavan Balaji; Tong Geng; Dingwen Tao (SC, 2024)

An Empirical Study of Microscaling Formats for Low-Precision LLM Training. - Hanmei Yang; Summer Deng; Amit Nagpal; Maxim Naumov; Mohammad Janani; Tongping Liu; Hui Guan 001 (ARITH, 2025)