| 2025 | ISCA | FRED: A Wafer-scale Fabric for 3D Parallel DNN Training. | Saeed Rashidi, William Won, Sudarshan Srinivasan, Puneet Gupta, Tushar Krishna |
| 2024 | HOTI | Towards a Standardized Representation for Deep Learning Collective Algorithms. | Jinsun Yoo, William Won, Meghan Cowan, Nan Jiang, Benjamin Klenk, Srinivas Sridharan, Tushar Krishna |
| 2024 | ISPASS | LIBRA: Enabling Workload-Aware Multi-Dimensional Network Topology Optimization for Distributed Training of Large AI Models. | William Won, Saeed Rashidi, Sudarshan Srinivasan, Tushar Krishna |
| 2024 | MICRO | TACOS: Topology-Aware Collective Algorithm Synthesizer for Distributed Machine Learning. | William Won, Midhilesh Elavazhagan, Sudarshan Srinivasan, Swati Gupta, Tushar Krishna |
| 2023 | ISPASS | ASTRA-sim2.0: Modeling Hierarchical Networks and Disaggregated Systems for Large-model Training at Scale. | William Won, Taekyung Heo, Saeed Rashidi, Srinivas Sridharan, Sudarshan Srinivasan, Tushar Krishna |
| 2022 | ISCA | Themis: a network bandwidth-aware collective scheduling policy for distributed training of DL models. | Saeed Rashidi, William Won, Sudarshan Srinivasan, Srinivas Sridharan, Tushar Krishna |