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ORCIDWilliam Won
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Other persons with a similar name
- William Van Woensel
![[0000-0002-7049-8735]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-7049-8735")
- Alexander William Wong
- B. L. William Wong (aka: William B. L. Wong, William Wong 0002) — Middlesex University London, UK
- William Wong — disambiguation page
- William Hak-Lim Wong
- William K. Wong
- William W. Wong
- William W. L. Wong
- William Wong 0001 (aka: Yat-To Wong) — Hong Kong Applied Science & Technology Research Institute
- William S. Wong 0001 — University of Waterloo, Giga-to-Nanoelectronics Centre, Waterloo, Canada (and 2 more)
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2020 – today
- 2024
[c5]Jinsun Yoo, William Won, Meghan Cowan, Nan Jiang, Benjamin Klenk, Srinivas Sridharan, Tushar Krishna:
Towards a Standardized Representation for Deep Learning Collective Algorithms. HOTI 2024: 33-36- [c4]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: 205-216 - [i7]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 abs/2406.19580 (2024) - [i6]Jinsun Yoo, William Won, Meghan Cowan, Nan Jiang, Benjamin Klenk, Srinivas Sridharan, Tushar Krishna:
Towards a Standardized Representation for Deep Learning Collective Algorithms. CoRR abs/2408.11008 (2024) - 2023
- [c3]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: 283-294 - [i5]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 abs/2303.14006 (2023) - [i4]William Won, Midhilesh Elavazhagan, Sudarshan Srinivasan, Ajaya Durg, Swati Gupta, Tushar Krishna:
TACOS: Topology-Aware Collective Algorithm Synthesizer for Distributed Training. CoRR abs/2304.05301 (2023) - 2022
- [c2]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: 581-596 - 2021
- [c1]Eric Qin, Geonhwa Jeong, William Won, Sheng-Chun Kao, Hyoukjun Kwon, Sudarshan Srinivasan, Dipankar Das, Gordon Euhyun Moon, Sivasankaran Rajamanickam, Tushar Krishna:
Extending Sparse Tensor Accelerators to Support Multiple Compression Formats. IPDPS 2021: 1014-1024 - [i3]Eric Qin, Geonhwa Jeong, William Won, Sheng-Chun Kao, Hyoukjun Kwon, Sudarshan Srinivasan, Dipankar Das, Gordon Euhyun Moon, Sivasankaran Rajamanickam, Tushar Krishna:
Extending Sparse Tensor Accelerators to Support Multiple Compression Formats. CoRR abs/2103.10452 (2021) - [i2]William Won, Saeed Rashidi, Sudarshan Srinivasan, Tushar Krishna:
Exploring Multi-dimensional Hierarchical Network Topologies for Efficient Distributed Training of Trillion Parameter DL Models. CoRR abs/2109.11762 (2021) - [i1]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 abs/2110.04478 (2021)
Coauthor Index
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