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Enda Yu
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2020 – today
- 2024
- [c4]Zhe Bai, Enda Yu, Dezun Dong, Pingjing Lu:
Enhancing Gradient Compression for Distributed Deep Learning. APNet 2024: 171-172 - [i2]Enda Yu, Dezun Dong, Xiangke Liao:
Full-Stack Allreduce on Multi-Rail Networks. CoRR abs/2405.17870 (2024) - 2023
- [j4]Aoxiang Feng, Dezun Dong, Fei Lei, Junchao Ma, Enda Yu, Ruiqi Wang:
In-network aggregation for data center networks: A survey. Comput. Commun. 198: 63-76 (2023) - [j3]Yemao Xu, Dezun Dong, Dongsheng Wang, Shi Xu, Enda Yu, Weixia Xu, Xiangke Liao:
SSD-SGD: Communication Sparsification for Distributed Deep Learning Training. ACM Trans. Archit. Code Optim. 20(1): 7:1-7:25 (2023) - [j2]Enda Yu, Dezun Dong, Xiangke Liao:
Communication Optimization Algorithms for Distributed Deep Learning Systems: A Survey. IEEE Trans. Parallel Distributed Syst. 34(12): 3294-3308 (2023) - 2022
- [j1]Enda Yu, Dezun Dong, Yemao Xu, Shuo Ouyang, Xiangke Liao:
CP-SGD: Distributed stochastic gradient descent with compression and periodic compensation. J. Parallel Distributed Comput. 169: 42-57 (2022) - [c3]Jian Wang, Enda Yu, Dezun Dong, Zhengbin Pang:
DNNEmu: A Lightweight Performance Emulator for Distributed DNN Training. ICA3PP 2022: 722-736 - 2021
- [c2]Enda Yu, Dezun Dong, Yemao Xu, Shuo Ouyang, Xiangke Liao:
CD-SGD: Distributed Stochastic Gradient Descent with Compression and Delay Compensation. ICPP 2021: 79:1-79:10 - [c1]Yanghai Wang, Shuo Ouyang, Dezun Dong, Enda Yu, Xiangke Liao:
vSketchDLC: A Sketch on Distributed Deep Learning Communication via Fine-grained Tracing Visualization. NPC 2021: 28-39 - [i1]Enda Yu, Dezun Dong, Yemao Xu, Shuo Ouyang, Xiangke Liao:
CD-SGD: Distributed Stochastic Gradient Descent with Compression and Delay Compensation. CoRR abs/2106.10796 (2021)
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