Lansong Diao

According to our database, Lansong Diao authored at least 13 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

HAP: SPMD DNN Training on Heterogeneous GPU Clusters with Automated Program Synthesis.

Shiwei Zhang, Lansong Diao, Chuan Wu, Zongyan Cao, Siyu Wang, Wei Lin

CoRR, 2024

2023

Expediting Distributed DNN Training With Device Topology-Aware Graph Deployment.

Shiwei Zhang, Xiaodong Yi, Lansong Diao, Chuan Wu, Siyu Wang, Wei Lin

IEEE Trans. Parallel Distributed Syst., April, 2023

Ada-Grouper: Accelerating Pipeline Parallelism in Preempted Network by Adaptive Group-Scheduling for Micro-Batches.

Siyu Wang, Zongyan Cao, Chang Si, Lansong Diao, Jiamang Wang, Wei Lin

CoRR, 2023

Auto-Parallelizing Large Models with Rhino: A Systematic Approach on Production AI Platform.

Shiwei Zhang, Lansong Diao, Siyu Wang, Zongyan Cao, Yiliang Gu, Chang Si, Ziji Shi, Zhen Zheng, Chuan Wu, Wei Lin

CoRR, 2023

2022

Optimizing DNN Compilation for Distributed Training With Joint OP and Tensor Fusion.

Xiaodong Yi, Shiwei Zhang, Lansong Diao, Chuan Wu, Zhen Zheng, Shiqing Fan, Siyu Wang, Jun Yang, Wei Lin

IEEE Trans. Parallel Distributed Syst., 2022

Accelerating large-scale distributed neural network training with SPMD parallelism.

Shiwei Zhang, Lansong Diao, Chuan Wu, Siyu Wang, Wei Lin

Proceedings of the 13th Symposium on Cloud Computing, SoCC 2022, 2022

2021

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

Shiqing Fan, Yi Rong, Chen Meng, Zongyan Cao, Siyu Wang, Zhen Zheng, Chuan Wu, Guoping Long, Jun Yang, Lixue Xia, Lansong Diao, Xiaoyong Liu, Wei Lin

Proceedings of the PPoPP '21: 26th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2021

DISC: A Dynamic Shape Compiler for Machine Learning Workloads.

Kai Zhu, Wenyi Zhao, Zhen Zheng, Tianyou Guo, Pengzhan Zhao, Junjie Bai, Jun Yang, Xiaoyong Liu, Lansong Diao, Wei Lin

Proceedings of the EuroMLSys@EuroSys 2021, 2021

2020

FusionStitching: Boosting Memory Intensive Computations for Deep Learning Workloads.

Zhen Zheng, Pengzhan Zhao, Guoping Long, Feiwen Zhu, Kai Zhu, Wenyi Zhao, Lansong Diao, Jun Yang, Wei Lin

CoRR, 2020

Auto-MAP: A DQN Framework for Exploring Distributed Execution Plans for DNN Workloads.

Siyu Wang, Yi Rong, Shiqing Fan, Zhen Zheng, Lansong Diao, Guoping Long, Jun Yang, Xiaoyong Liu, Wei Lin

CoRR, 2020

Optimizing distributed training deployment in heterogeneous GPU clusters.

Xiaodong Yi, Shiwei Zhang, Ziyue Luo, Guoping Long, Lansong Diao, Chuan Wu, Zhen Zheng, Jun Yang, Wei Lin

Proceedings of the CoNEXT '20: The 16th International Conference on emerging Networking EXperiments and Technologies, 2020

2019

PAI-FCNN: FPGA Based CNN Inference System.

Lansong Diao, Zhao Jiang, Hao Liang, Chang'an Ye, Kai Chen, Li Ding, Shunli Dou, Meng Sun, Lixue Xia, Jiansong Zhang, Wei Lin

Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2019

PAI-FCNN: FPGA Based Inference System for Complex CNN Models.

Lixue Xia, Lansong Diao, Zhao Jiang, Hao Liang, Kai Chen, Li Ding, Shunli Dou, Zibin Su, Meng Sun, Jiansong Zhang, Wei Lin

Proceedings of the 30th IEEE International Conference on Application-specific Systems, 2019