William Won - RankMe

17 papers A* 3A 1B 2Misc 1Journal 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	COSMIC: Enabling Full-Stack Co-Design and Optimization of Distributed Machine Learning Systems. CoRR Aditi Raju, Jared Ni, William Won, Changhai Man, Srivatsan Krishnan, Srinivas Sridharan, Amir Yazdanbakhsh, Tushar Krishna, Vijay Janapa Reddi
2025	A*	`conf`	FRED: A Wafer-scale Fabric for 3D Parallel DNN Training. ISCA Saeed Rashidi, William Won, Sudarshan Srinivasan, Puneet Gupta, Tushar Krishna
2025	J	`jnl`	MCMComm: Hardware-Software Co-Optimization for End-to-End Communication in Multi-Chip-Modules. CoRR Ritik Raj, Shengjie Lin, William Won, Tushar Krishna
2025	J	`jnl`	Toward a Standardized Representation for Deep Learning Collective Algorithms. IEEE Micro Jinsun Yoo, William Won, Meghan Cowan, Nan Jiang, Benjamin Klenk, Srinivas Sridharan, 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	A*	`conf`	TACOS: Topology-Aware Collective Algorithm Synthesizer for Distributed Machine Learning. MICRO William Won, Midhilesh Elavazhagan, Sudarshan Srinivasan, Swati Gupta, Tushar Krishna
2024	Misc	`conf`	Towards a Standardized Representation for Deep Learning Collective Algorithms. HOTI Jinsun Yoo, William Won, Meghan Cowan, Nan Jiang, Benjamin Klenk, Srinivas Sridharan, Tushar Krishna
2024	J	`jnl`	Towards a Standardized Representation for Deep Learning Collective Algorithms. CoRR Jinsun Yoo, William Won, Meghan Cowan, Nan Jiang, Benjamin Klenk, Srinivas Sridharan, Tushar Krishna
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`	TACOS: Topology-Aware Collective Algorithm Synthesizer for Distributed Training. CoRR William Won, Midhilesh Elavazhagan, Sudarshan Srinivasan, Ajaya Durg, Swati Gupta, 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	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	A	`conf`	Extending Sparse Tensor Accelerators to Support Multiple Compression Formats. IPDPS Eric Qin, Geonhwa Jeong, William Won, Sheng-Chun Kao, Hyoukjun Kwon, Sudarshan Srinivasan, Dipankar Das, Gordon Euhyun Moon, Sivasankaran Rajamanickam, Tushar Krishna
2021	J	`jnl`	Extending Sparse Tensor Accelerators to Support Multiple Compression Formats. CoRR Eric Qin, Geonhwa Jeong, William Won, Sheng-Chun Kao, Hyoukjun Kwon, Sudarshan Srinivasan, Dipankar Das, Gordon Euhyun Moon, Sivasankaran Rajamanickam, 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