Saeed Rashidi - RankMe

22 papers A* 4B 4Misc 1Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	FRED: A Wafer-scale Fabric for 3D Parallel DNN Training. ISCA Saeed Rashidi, William Won, Sudarshan Srinivasan, Puneet Gupta, Tushar Krishna
2024	J	`jnl`	FRED: Flexible REduction-Distribution Interconnect and Communication Implementation for Wafer-Scale Distributed Training of DNN Models. CoRR Saeed Rashidi, William Won, Sudarshan Srinivasan, Puneet Gupta, Tushar Krishna
2024	B	`conf`	LIBRA: Enabling Workload-Aware Multi-Dimensional Network Topology Optimization for Distributed Training of Large AI Models. ISPASS William Won, Saeed Rashidi, Sudarshan Srinivasan, Tushar Krishna
2024	B	`conf`	Leveraging Memory Expansion to Accelerate Large-Scale DL Training. ISPASS Divya Kiran Kadiyala, Saeed Rashidi, Taekyung Heo, Abhimanyu Bambhaniya, Tushar Krishna, Alexandros Daglis
2023	B	`conf`	ASTRA-sim2.0: Modeling Hierarchical Networks and Disaggregated Systems for Large-model Training at Scale. ISPASS William Won, Taekyung Heo, Saeed Rashidi, Srinivas Sridharan, Sudarshan Srinivasan, Tushar Krishna
2023	J	`jnl`	ASTRA-sim2.0: Modeling Hierarchical Networks and Disaggregated Systems for Large-model Training at Scale. CoRR William Won, Taekyung Heo, Saeed Rashidi, Srinivas Sridharan, Sudarshan Srinivasan, Tushar Krishna
2023	J	`jnl`	Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces. CoRR Srinivas Sridharan, Taekyung Heo, Louis Feng, Zhaodong Wang, Matt Bergeron, Wenyin Fu, Shengbao Zheng, Brian Coutinho, Saeed Rashidi, Changhai Man, Tushar Krishna
2023	A*	`conf`	Efficient Distributed Inference of Deep Neural Networks via Restructuring and Pruning. AAAI Afshin Abdi, Saeed Rashidi, Faramarz Fekri, Tushar Krishna
2023	—	`—`	HW-SW Methods for Modeling and Optimizing Communication for Scalable Training of Deep Learning Models. Saeed Rashidi
2022	J	`jnl`	COMET: A Comprehensive Cluster Design Methodology for Distributed Deep Learning Training. CoRR Divya Kiran Kadiyala, Saeed Rashidi, Taekyung Heo, Abhimanyu Rajeshkumar Bambhaniya, Tushar Krishna, Alexandros Daglis
2022	Misc	`conf`	Impact of RoCE Congestion Control Policies on Distributed Training of DNNs. HOTI Tarannum Khan, Saeed Rashidi, Srinivas Sridharan, Pallavi Shurpali, Aditya Akella, Tushar Krishna
2022	J	`jnl`	Impact of RoCE Congestion Control Policies on Distributed Training of DNNs. CoRR Tarannum Khan, Saeed Rashidi, Srinivas Sridharan, Pallavi Shurpali, Aditya Akella, Tushar Krishna
2022	A*	`conf`	Themis: a network bandwidth-aware collective scheduling policy for distributed training of DL models. ISCA Saeed Rashidi, William Won, Sudarshan Srinivasan, Srinivas Sridharan, Tushar Krishna
2021	A*	`conf`	Enabling Compute-Communication Overlap in Distributed Deep Learning Training Platforms. ISCA Saeed Rashidi, Matthew Denton, Srinivas Sridharan, Sudarshan Srinivasan, Amoghavarsha Suresh, Jade Nie, Tushar Krishna
2021	J	`jnl`	Exploring Multi-dimensional Hierarchical Network Topologies for Efficient Distributed Training of Trillion Parameter DL Models. CoRR William Won, Saeed Rashidi, Sudarshan Srinivasan, Tushar Krishna
2021	J	`jnl`	Themis: A Network Bandwidth-Aware Collective Scheduling Policy for Distributed Training of DL Models. CoRR Saeed Rashidi, William Won, Sudarshan Srinivasan, Srinivas Sridharan, Tushar Krishna
2020	B	`conf`	ASTRA-SIM: Enabling SW/HW Co-Design Exploration for Distributed DL Training Platforms. ISPASS Saeed Rashidi, Srinivas Sridharan, Sudarshan Srinivasan, Tushar Krishna
2020	J	`jnl`	Efficient Communication Acceleration for Next-Gen Scale-up Deep Learning Training Platforms. CoRR Saeed Rashidi, Srinivas Sridharan, Sudarshan Srinivasan, Matthew Denton, Tushar Krishna
2020	J	`jnl`	Restructuring, Pruning, and Adjustment of Deep Models for Parallel Distributed Inference. CoRR Afshin Abdi, Saeed Rashidi, Faramarz Fekri, Tushar Krishna
2020	—	`conf`	Scalable Distributed Training of Recommendation Models: An ASTRA-SIM + NS3 case-study with TCP/IP transport. Hot Interconnects Saeed Rashidi, Pallavi Shurpali, Srinivas Sridharan, Naader Hassani, Dheevatsa Mudigere, Krishnakumar Nair, Misha Smelyanskiy, Tushar Krishna
2019	J	`jnl`	A Survey on PCM Lifetime Enhancement Schemes. ACM Comput. Surv. Saeed Rashidi, Majid Jalili, Hamid Sarbazi-Azad
2018	J	`jnl`	Improving MLC PCM Performance through Relaxed Write and Read for Intermediate Resistance Levels. ACM Trans. Archit. Code Optim. Saeed Rashidi, Majid Jalili, Hamid Sarbazi-Azad