Saeed Rashidi

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 20

Top Topics

Network Topologies

Design Methodology

Top Venues

Publications

Divya Kiran Kadiyala, Saeed Rashidi, Taekyung Heo, Abhimanyu Bambhaniya, Tushar Krishna, Alexandros Daglis
Leveraging Memory Expansion to Accelerate Large-Scale DL Training. ISPASS (2024)
William Won, Saeed Rashidi, Sudarshan Srinivasan, Tushar Krishna
LIBRA: Enabling Workload-Aware Multi-Dimensional Network Topology Optimization for Distributed Training of Large AI Models. ISPASS (2024)
Saeed Rashidi, William Won, Sudarshan Srinivasan, Puneet Gupta, Tushar Krishna
FRED: Flexible REduction-Distribution Interconnect and Communication Implementation for Wafer-Scale Distributed Training of DNN Models. CoRR (2024)
William Won, Taekyung Heo, Saeed Rashidi, Srinivas Sridharan, Sudarshan Srinivasan, Tushar Krishna
ASTRA-sim2.0: Modeling Hierarchical Networks and Disaggregated Systems for Large-model Training at Scale. CoRR (2023)
Srinivas Sridharan, Taekyung Heo, Louis Feng, Zhaodong Wang, Matt Bergeron, Wenyin Fu, Shengbao Zheng, Brian Coutinho, Saeed Rashidi, Changhai Man, Tushar Krishna
Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces. CoRR (2023)
Afshin Abdi, Saeed Rashidi, Faramarz Fekri, Tushar Krishna
Efficient Distributed Inference of Deep Neural Networks via Restructuring and Pruning. AAAI (2023)
William Won, Taekyung Heo, Saeed Rashidi, Srinivas Sridharan, Sudarshan Srinivasan, Tushar Krishna
ASTRA-sim2.0: Modeling Hierarchical Networks and Disaggregated Systems for Large-model Training at Scale. ISPASS (2023)
Tarannum Khan, Saeed Rashidi, Srinivas Sridharan, Pallavi Shurpali, Aditya Akella, Tushar Krishna
Impact of RoCE Congestion Control Policies on Distributed Training of DNNs. CoRR (2022)
Tarannum Khan, Saeed Rashidi, Srinivas Sridharan, Pallavi Shurpali, Aditya Akella, Tushar Krishna
Impact of RoCE Congestion Control Policies on Distributed Training of DNNs. HOTI (2022)
Divya Kiran Kadiyala, Saeed Rashidi, Taekyung Heo, Abhimanyu Rajeshkumar Bambhaniya, Tushar Krishna, Alexandros Daglis
COMET: A Comprehensive Cluster Design Methodology for Distributed Deep Learning Training. CoRR (2022)
Saeed Rashidi, William Won, Sudarshan Srinivasan, Srinivas Sridharan, Tushar Krishna
Themis: a network bandwidth-aware collective scheduling policy for distributed training of DL models. ISCA (2022)
William Won, Saeed Rashidi, Sudarshan Srinivasan, Tushar Krishna
Exploring Multi-dimensional Hierarchical Network Topologies for Efficient Distributed Training of Trillion Parameter DL Models. CoRR (2021)
Saeed Rashidi, Matthew Denton, Srinivas Sridharan, Sudarshan Srinivasan, Amoghavarsha Suresh, Jade Nie, Tushar Krishna
Enabling Compute-Communication Overlap in Distributed Deep Learning Training Platforms. ISCA (2021)
Saeed Rashidi, William Won, Sudarshan Srinivasan, Srinivas Sridharan, Tushar Krishna
Themis: A Network Bandwidth-Aware Collective Scheduling Policy for Distributed Training of DL Models. CoRR (2021)
Saeed Rashidi, Srinivas Sridharan, Sudarshan Srinivasan, Tushar Krishna
ASTRA-SIM: Enabling SW/HW Co-Design Exploration for Distributed DL Training Platforms. ISPASS (2020)
Saeed Rashidi, Pallavi Shurpali, Srinivas Sridharan, Naader Hassani, Dheevatsa Mudigere, Krishnakumar Nair, Misha Smelyanski, Tushar Krishna
Scalable Distributed Training of Recommendation Models: An ASTRA-SIM + NS3 case-study with TCP/IP transport. Hot Interconnects (2020)
Saeed Rashidi, Srinivas Sridharan, Sudarshan Srinivasan, Matthew Denton, Tushar Krishna
Efficient Communication Acceleration for Next-Gen Scale-up Deep Learning Training Platforms. CoRR (2020)
Afshin Abdi, Saeed Rashidi, Faramarz Fekri, Tushar Krishna
Restructuring, Pruning, and Adjustment of Deep Models for Parallel Distributed Inference. CoRR (2020)
Saeed Rashidi, Majid Jalili, Hamid Sarbazi-Azad
A Survey on PCM Lifetime Enhancement Schemes. ACM Comput. Surv. 52 (4) (2019)
Saeed Rashidi, Majid Jalili, Hamid Sarbazi-Azad
Improving MLC PCM Performance through Relaxed Write and Read for Intermediate Resistance Levels. ACM Trans. Archit. Code Optim. 15 (1) (2018)