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William Won
William Won
Other namesJonghoon Won
School of Computer Science, Georgia Institute of Technology
Verified email at gatech.edu - Homepage
Title
Cited by
Cited by
Year
Themis: A Network Bandwidth-Aware Collective Scheduling Policy for Distributed Training of DL Models
S Rashidi, W Won, S Srinivasan, S Sridharan, T Krishna
Proceedings of the 49th Annual International Symposium on Computer …, 2022
272022
RansomBlocker: a Low-Overhead Ransomware-Proof SSD
J Park, Y Jung, J Won, M Kang, S Lee, J Kim
Proceedings of the 56th Annual Design Automation Conference 2019 (DAC '19), 2019
272019
ASTRA-sim2.0: Modeling Hierarchical Networks and Disaggregated Systems for Large-model Training at Scale
W Won, T Heo, S Rashidi, S Sridharan, S Srinivasan, T Krishna
Proceedings of the 2023 IEEE International Symposium on Performance Analysis …, 2023
252023
Extending Sparse Tensor Accelerators to Support Multiple Compression Formats
E Qin, G Jeong, W Won, SC Kao, H Kwon, S Srinivasan, D Das, GE Moon, ...
Proceedings of the 2021 IEEE International Parallel and Distributed …, 2021
162021
LIBRA: Enabling Workload-aware Multi-dimensional Network Topology Optimization for Distributed Training of Large AI Models
W Won, S Rashidi, S Srinivasan, T Krishna
Proceedings of the 2024 IEEE International Symposium on Performance Analysis …, 2024
4*2024
TACOS: Topology-Aware Collective Algorithm Synthesizer for Distributed Machine Learning
W Won, M Elavazhagan, S Srinivasan, A Durg, S Kaul, S Gupta, T Krishna
arXiv:2304.05301 [cs.DC], 2024
4*2024
Exploring Memory Expansion Designs for Training Mixture-of-Experts Models
T Heo, S Rashidi, C Man, DK Kadiyala, W Won, S Srinivasan, ...
Workshop on Hot Topics in System Infrastructure 2023 (HotInfra '23), 2023
12023
FRED: Flexible REduction-Distribution Interconnect and Communication Implementation for Wafer-Scale Distributed Training of DNN Models
S Rashidi, W Won, S Srinivasan, P Gupta, T Krishna
arXiv:2406.19580 [cs.AR], 2024
2024
Towards a Standardized Representation for Deep Learning Collective Algorithms
J Yoo, W Won, M Cowan, N Jiang, B Klenk, T Krishna
Workshop on Machine Learning for Computer Architecture and Systems 2024 …, 2024
2024
MINT: Microarchitecture for Efficient and Interchangeable CompressioN Formats on Tensor Algebra.
E Qin, G Jeong, W Won, SC Kao, H Kwon, S Srinivasan, D Das, GE Moon, ...
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2020
2020
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