Quentin Anthony
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
14
Venues
8
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
14 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | WACV | Supporting Ultra-High-Resolution Digital Agriculture Tasks with Fully Synthetic Curriculum Learning. | Jacob Hatef, Quentin Anthony, Nawras Alnaasan, Dhabaleswar K. Panda |
| 2025 | HOTI | Characterizing Communication Patterns in Distributed Large Language Model Inference. | Lang Xu, Kaushik Kandadi Suresh, Quentin Anthony, Nawras Alnaasan, Dhabaleswar K. Panda |
| 2024 | CCGRID | Accelerating Large Language Model Training with Hybrid GPU-based Compression. | Lang Xu, Quentin Anthony, Qinghua Zhou, Nawras Alnaasan, Radha Gulhane, Aamir Shafi, Hari Subramoni, Dhabaleswar K. D. K. Panda |
| 2024 | HiPC | Scaling Large Language Model Training on Frontier with Low-Bandwidth Partitioning. | Lang Xu, Quentin Anthony, Jacob Hatef, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda |
| 2024 | HOTI | Demystifying the Communication Characteristics for Distributed Transformer Models. | Quentin Anthony, Benjamin Michalowicz, Jacob Hatef, Lang Xu, Mustafa Abdul Jabbar, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda |
| 2024 | ICPP | The Case for Co-Designing Model Architectures with Hardware. | Quentin Anthony, Jacob Hatef, Deepak Narayanan, Stella Biderman, Stas Bekman, Junqi Yin, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda |
| 2023 | CCGRID | ScaMP: Scalable Meta-Parallelism for Deep Learning Search. | Quentin Anthony, Lang Xu, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda |
| 2023 | CCGRID | ScaMP: Scalable Meta-Parallelism for Deep Learning Search. | Quentin Anthony, Lang Xu, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda |
| 2023 | EMNLP | trlX: A Framework for Large Scale Reinforcement Learning from Human Feedback. | Alexander Havrilla, Maksym Zhuravinskyi, Duy Phung, Aman Tiwari, Jonathan Tow, Stella Biderman, Quentin Anthony, Louis Castricato |
| 2023 | EMNLP | RWKV: Reinventing RNNs for the Transformer Era. | Bo Peng, Eric Alcaide, Quentin Anthony, Alon Albalak, Samuel Arcadinho, Stella Biderman, Huanqi Cao, Xin Cheng, Michael Chung, Leon Derczynski, Xingjian Du, Matteo Grella, Kranthi Kiran GV, Xuzheng He, Haowen Hou, Przemyslaw Kazienko, Jan Kocon, Jiaming Kong, Bartlomiej Koptyra, Hayden Lau, Jiaju Lin, Krishna Sri Ipsit Mantri, Ferdinand Mom, Atsushi Saito, Guangyu Song, Xiangru Tang, Johan S. Wind, Stanislaw Wozniak, Zhenyuan Zhang, Qinghua Zhou, Jian Zhu, Rui-Jie Zhu |
| 2022 | HiPC | Accelerating Broadcast Communication with GPU Compression for Deep Learning Workloads. | Qinghua Zhou, Quentin Anthony, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda |
| 2021 | SC | Evaluating Multi-Level Checkpointing for Distributed Deep Neural Network Training. | Quentin Anthony, Donglai Dai |
| 2020 | SC | Accelerating GPU-based Machine Learning in Python using MPI Library: A Case Study with MVAPICH2-GDR. | Seyedeh Mahdieh Ghazimirsaeed, Quentin Anthony, Aamir Shafi, Hari Subramoni, Dhabaleswar K. D. K. Panda |
| 2019 | CLUSTER | Performance Characterization of DNN Training using TensorFlow and PyTorch on Modern Clusters. | Arpan Jain, Ammar Ahmad Awan, Quentin Anthony, Hari Subramoni, Dhabaleswar K. Panda |