Building Recommender Systems with PyTorch. - Dheevatsa Mudigere; Maxim Naumov; Joe Spisak; Geeta Chauhan; Narine Kokhlikyan; Amanpreet Singh; Vedanuj Goswami (KDD, 2020)

Sustainable AI: Environmental Implications, Challenges and Opportunities. - Carole-Jean Wu; Ramya Raghavendra; Udit Gupta; Bilge Acun; Newsha Ardalani; Kiwan Maeng; Gloria Chang; Fiona Aga Behram; James Huang; Charles Bai; Michael Gschwind; Anurag Gupta; et al. (CoRR, 2021)

Sustainable AI: Environmental Implications, Challenges and Opportunities. - Carole-Jean Wu; Ramya Raghavendra; Udit Gupta; Bilge Acun; Newsha Ardalani; Kiwan Maeng; Gloria Chang; Fiona Aga Behram; Jinshi Huang; Charles Bai; Michael Gschwind; Anurag Gupta; et al. (MLSys, 2022)

PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel. - Yanli Zhao; Andrew Gu; Rohan Varma; Liang Luo; Chien-Chin Huang; Min Xu; Less Wright; Hamid Shojanazeri; Myle Ott; Sam Shleifer; Alban Desmaison; Can Balioglu; et al. (CoRR, 2023)

PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel. - Yanli Zhao; Andrew Gu; Rohan Varma; Liang Luo; Chien-Chin Huang; Min Xu; Less Wright; Hamid Shojanazeri; Myle Ott; Sam Shleifer; Alban Desmaison; Can Balioglu; et al. (Proc. VLDB Endow., 2023)

PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation. - Jason Ansel; Edward Z. Yang; Horace He; Natalia Gimelshein; Animesh Jain; Michael Voznesensky; Bin Bao; Peter Bell 008; David Berard; Evgeni Burovski; Geeta Chauhan; Anjali Chourdia; et al. (ASPLOS (2), 2024)

NeurIPS 2023 LLM Efficiency Fine-tuning Competition. - Mark Saroufim; Yotam Perlitz; Leshem Choshen; Luca Antiga; Greg Bowyer; Christian Puhrsch; Driss Guessous; Supriya Rao; Geeta Chauhan; Ashvini Kumar; Jindal Pawan Kumar; Rajpoot Ankur Parikh; et al. (CoRR, 2025)