재정 지원 요구사항을 통해 공개된 자료 - Sunwoo Lee자세히 알아보기
제공된 곳이 있음: 22
Parallel deep convolutional neural network training by exploiting the overlapping of computation and communication
S Lee, D Jha, A Agrawal, A Choudhary, W Liao
2017 IEEE 24th international conference on high performance computing (HiPC …, 2017
재정 지원 요구사항 정책: US National Science Foundation, US Department of Energy, US Department of …
Layer-wise adaptive model aggregation for scalable federated learning
S Lee, T Zhang, AS Avestimehr
Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 8491-8499, 2023
재정 지원 요구사항 정책: US Department of Defense
Improving scalability of parallel CNN training by adjusting mini-batch size at run-time
S Lee, Q Kang, S Madireddy, P Balaprakash, A Agrawal, A Choudhary, ...
2019 IEEE International Conference on Big Data (Big Data), 830-839, 2019
재정 지원 요구사항 정책: US Department of Energy
Improving all-to-many personalized communication in two-phase i/o
Q Kang, R Ross, R Latham, S Lee, A Agrawal, A Choudhary, W Liao
SC20: International Conference for High Performance Computing, Networking …, 2020
재정 지원 요구사항 정책: US Department of Energy
Improving mpi collective i/o for high volume non-contiguous requests with intra-node aggregation
Q Kang, S Lee, K Hou, R Ross, A Agrawal, A Choudhary, W Liao
IEEE Transactions on Parallel and Distributed Systems 31 (11), 2682-2695, 2020
재정 지원 요구사항 정책: US Department of Energy
Partial model averaging in federated learning: Performance guarantees and benefits
S Lee, AK Sahu, C He, S Avestimehr
Neurocomputing 556, 126647, 2023
재정 지원 요구사항 정책: US National Science Foundation, US Department of Defense
A case study on parallel HDF5 dataset concatenation for high energy physics data analysis
S Lee, K Hou, K Wang, S Sehrish, M Paterno, J Kowalkowski, Q Koziol, ...
Parallel Computing 110, 102877, 2022
재정 지원 요구사항 정책: US Department of Energy
Communication-efficient parallelization strategy for deep convolutional neural network training
S Lee, A Agrawal, P Balaprakash, A Choudhary, WK Liao
2018 IEEE/ACM Machine Learning in HPC Environments (MLHPC), 47-56, 2018
재정 지원 요구사항 정책: US National Science Foundation, US Department of Energy
Evaluation of k-means data clustering algorithm on intel xeon phi
S Lee, W Liao, A Agrawal, N Hardavellas, A Choudhary
2016 IEEE International Conference on Big Data (Big Data), 2251-2260, 2016
재정 지원 요구사항 정책: US National Science Foundation, US Department of Energy
Parallel community detection algorithm using a data partitioning strategy with pairwise subdomain duplication
D Palsetia, W Hendrix, S Lee, A Agrawal, W Liao, A Choudhary
High Performance Computing: 31st International Conference, ISC High …, 2016
재정 지원 요구사항 정책: US National Science Foundation, US Department of Energy
Achieving small-batch accuracy with large-batch scalability via Hessian-aware learning rate adjustment
S Lee, C He, S Avestimehr
Neural Networks 158, 1-14, 2023
재정 지원 요구사항 정책: US Department of Defense
Variance-aware weight quantization of multi-level resistive switching devices based on Pt/LaAlO3/SrTiO3 heterostructures
S Lee, J Jeon, K Eom, C Jeong, Y Yang, JY Park, CB Eom, H Lee
Scientific Reports 12 (1), 9068, 2022
재정 지원 요구사항 정책: US Department of Energy, US Department of Defense, Gordon and Betty Moore …
In situ compression artifact removal in scientific data using deep transfer learning and experience replay
S Madireddy, JH Park, S Lee, P Balaprakash, S Yoo, W Liao, CD Hauck, ...
Machine Learning: Science and Technology 2 (2), 025010, 2020
재정 지원 요구사항 정책: US Department of Energy
Communication-efficient local stochastic gradient descent for scalable deep learning
S Lee, Q Kang, A Agrawal, A Choudhary, W Liao
2020 IEEE International Conference on Big Data (Big Data), 718-727, 2020
재정 지원 요구사항 정책: US Department of Energy
Asynchronous i/o strategy for large-scale deep learning applications
S Lee, Q Kang, K Wang, J Balewski, A Sim, A Agrawal, A Choudhary, ...
2021 IEEE 28th International Conference on High Performance Computing, Data …, 2021
재정 지원 요구사항 정책: US Department of Energy
SIGRNN: Synthetic Minority Instances Generation in Imbalanced Datasets using a Recurrent Neural Network.
R Al-Bahrani, D Jha, Q Kang, S Lee, Z Yang, WK Liao, A Agrawal, ...
ICPRAM, 349-356, 2021
재정 지원 요구사항 정책: US Department of Energy
Overcoming resource constraints in federated learning: Large models can be trained with only weak clients
Y Niu, S Prakash, S Kundu, S Lee, S Avestimehr
Transactions on Machine Learning Research, 2023
재정 지원 요구사항 정책: US Department of Defense
Using multi-resolution data to accelerate neural network training in scientific applications
K Wang, S Lee, J Balewski, A Sim, P Nugent, A Agrawal, A Choudhary, ...
2022 22nd IEEE International Symposium on Cluster, Cloud and Internet …, 2022
재정 지원 요구사항 정책: US Department of Energy
Improving scalability of parallel CNN training by adaptively adjusting parameter update frequency
S Lee, Q Kang, R Al-Bahrani, A Agrawal, A Choudhary, W Liao
Journal of Parallel and Distributed Computing 159, 10-23, 2022
재정 지원 요구사항 정책: US Department of Energy
Multi-level memristors based on two-dimensional electron gases in oxide heterostructures for high precision neuromorphic computing
S Lee, J Jeon, K Eom, C Jeong, Y Yang, JY Park, CB Eom, H Lee
재정 지원 요구사항 정책: US Department of Energy, US Department of Defense, Gordon and Betty Moore …
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