Saeed Rashidi
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
10
Venues
4
Active years
2020–2025
Best venue rank
A*
Where they publish
Papers
10 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ISCA | FRED: A Wafer-scale Fabric for 3D Parallel DNN Training. | Saeed Rashidi, William Won, Sudarshan Srinivasan, Puneet Gupta, Tushar Krishna |
| 2024 | ISPASS | Leveraging Memory Expansion to Accelerate Large-Scale DL Training. | Divya Kiran Kadiyala, Saeed Rashidi, Taekyung Heo, Abhimanyu Bambhaniya, Tushar Krishna, Alexandros Daglis |
| 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 |
| 2023 | AAAI | Efficient Distributed Inference of Deep Neural Networks via Restructuring and Pruning. | Afshin Abdi, Saeed Rashidi, Faramarz Fekri, 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 | HOTI | Impact of RoCE Congestion Control Policies on Distributed Training of DNNs. | Tarannum Khan, Saeed Rashidi, Srinivas Sridharan, Pallavi Shurpali, Aditya Akella, 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 |
| 2021 | ISCA | Enabling Compute-Communication Overlap in Distributed Deep Learning Training Platforms. | Saeed Rashidi, Matthew Denton, Srinivas Sridharan, Sudarshan Srinivasan, Amoghavarsha Suresh, Jade Nie, Tushar Krishna |
| 2020 | HOTI | Scalable Distributed Training of Recommendation Models: An ASTRA-SIM + NS3 case-study with TCP/IP transport. | Saeed Rashidi, Pallavi Shurpali, Srinivas Sridharan, Naader Hassani, Dheevatsa Mudigere, Krishnakumar Nair, Misha Smelyanskiy, Tushar Krishna |
| 2020 | ISPASS | ASTRA-SIM: Enabling SW/HW Co-Design Exploration for Distributed DL Training Platforms. | Saeed Rashidi, Srinivas Sridharan, Sudarshan Srinivasan, Tushar Krishna |