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Diao, Lansong
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1

HAP: SPMD DNN Training on Heterogeneous GPU Clusters with A..:

, In: Proceedings of the Nineteenth European Conference on Computer Systems,
Zhang, Shiwei ; Diao, Lansong ; Wu, Chuan... - p. 524-541 , 2024
Link: https://dl.acm.org/doi/1..
 
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2

Expediting Distributed DNN Training With Device Topology-Aw..:

Zhang, Shiwei ; Yi, Xiaodong ; Diao, Lansong...
IEEE Transactions on Parallel and Distributed Systems.  34 (2023)  4 - p. 1281-1293 , 2023
Link: https://doi.org/10.1109/..
 
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3

Accelerating large-scale distributed neural network trainin..:

, In: Proceedings of the 13th Symposium on Cloud Computing,
Zhang, Shiwei ; Diao, Lansong ; Wu, Chuan.. - p. 403-418 , 2022
Link: https://dl.acm.org/doi/1..
 
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4

Optimizing DNN Compilation for Distributed Training With Jo..:

Yi, Xiaodong ; Zhang, Shiwei ; Diao, Lansong...
IEEE Transactions on Parallel and Distributed Systems.  33 (2022)  12 - p. 4694-4706 , 2022
Link: https://doi.org/10.1109/..
 
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5

DAPPLE : a pipelined data parallel approach for training..:

, In: Proceedings of the 26th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming,
Fan, Shiqing ; Rong, Yi ; Meng, Chen... - p. 431-445 , 2021
Link: https://dl.acm.org/doi/1..
 
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6

Optimizing distributed training deployment in heterogeneous..:

, In: Proceedings of the 16th International Conference on emerging Networking EXperiments and Technologies,
Yi, Xiaodong ; Zhang, Shiwei ; Luo, Ziyue... - p. 93-107 , 2020
Link: https://dl.acm.org/doi/1..
 
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7

PAI-FCNN : FPGA Based CNN Inference System:

, In: Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays,
Diao, Lansong ; Jiang, Zhao ; Liang, Hao... - p. 184 ff. , 2019
Link: https://dl.acm.org/doi/1..
 
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8

HAP: SPMD DNN Training on Heterogeneous GPU Clusters with A..:

Zhang, Shiwei ; Diao, Lansong ; Wu, Chuan...
http://arxiv.org/abs/2401.05965.  , 2024
Link: http://arxiv.org/abs/240..
 
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9

Ada-Grouper: Accelerating Pipeline Parallelism in Preempted..:

Wang, Siyu ; Cao, Zongyan ; Si, Chang...
http://arxiv.org/abs/2303.01675.  , 2023
Link: http://arxiv.org/abs/230..
 
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10

Expediting Distributed DNN Training with Device Topology-Aw..:

Zhang, Shiwei ; Yi, Xiaodong ; Diao, Lansong...
http://arxiv.org/abs/2302.06126.  , 2023
Link: http://arxiv.org/abs/230..
 
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11

Auto-Parallelizing Large Models with Rhino: A Systematic Ap..:

Zhang, Shiwei ; Diao, Lansong ; Wang, Siyu...
http://arxiv.org/abs/2302.08141.  , 2023
Link: http://arxiv.org/abs/230..
 
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12

Optimizing DNN Compilation for Distributed Training with Jo..:

Yi, Xiaodong ; Zhang, Shiwei ; Diao, Lansong...
http://arxiv.org/abs/2209.12769.  , 2022
Link: http://arxiv.org/abs/220..
 
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13

DISC: A Dynamic Shape Compiler for Machine Learning Workloa..:

Zhu, Kai ; Zhao, Wenyi ; Zheng, Zhen...
http://arxiv.org/abs/2103.05288.  , 2021
Link: http://arxiv.org/abs/210..
 
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14

FusionStitching: Boosting Memory Intensive Computations for..:

Zheng, Zhen ; Zhao, Pengzhan ; Long, Guoping...
http://arxiv.org/abs/2009.10924.  , 2020
Link: http://arxiv.org/abs/200..
 
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15

Auto-MAP: A DQN Framework for Exploring Distributed Executi..:

Wang, Siyu ; Rong, Yi ; Fan, Shiqing...
http://arxiv.org/abs/2007.04069.  , 2020
Link: http://arxiv.org/abs/200..
 
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