William Won

Orcid: 0000-0002-1715-9144

According to our database1, William Won authored at least 5 papers between 2021 and 2023.

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Bibliography

2023
TACOS: Topology-Aware Collective Algorithm Synthesizer for Distributed Training.
CoRR, 2023

ASTRA-sim2.0: Modeling Hierarchical Networks and Disaggregated Systems for Large-model Training at Scale.
Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2023

2022
Themis: a network bandwidth-aware collective scheduling policy for distributed training of DL models.
Proceedings of the ISCA '22: The 49th Annual International Symposium on Computer Architecture, New York, New York, USA, June 18, 2022

2021
Exploring Multi-dimensional Hierarchical Network Topologies for Efficient Distributed Training of Trillion Parameter DL Models.
CoRR, 2021

Extending Sparse Tensor Accelerators to Support Multiple Compression Formats.
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021


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