Siyu Wang - RankMe

14 papers A 1B 1Journal 9Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Concerto: Automatic Communication Optimization and Scheduling for Large-Scale Deep Learning. ASPLOS (1) Shenggan Cheng, Shengjie Lin, Lansong Diao, Hao Wu, Siyu Wang, Chang Si, Ziming Liu, Xuanlei Zhao, Jiangsu Du, Wei Lin, Yang You
2025	—	`conf`	DyOrc: Efficient Serving of Dynamic Machine Learning Workflows. SoCC Shiwei Zhang, Lansong Diao, Zisheng Meng, Siyu Wang, Wei Lin, Chuan Wu
2024	A	`conf`	HAP: SPMD DNN Training on Heterogeneous GPU Clusters with Automated Program Synthesis. EuroSys Shiwei Zhang, Lansong Diao, Chuan Wu, Zongyan Cao, Siyu Wang, Wei Lin
2024	J	`jnl`	HAP: SPMD DNN Training on Heterogeneous GPU Clusters with Automated Program Synthesis. CoRR Shiwei Zhang, Lansong Diao, Chuan Wu, Zongyan Cao, Siyu Wang, Wei Lin
2023	J	`jnl`	Ada-Grouper: Accelerating Pipeline Parallelism in Preempted Network by Adaptive Group-Scheduling for Micro-Batches. CoRR Siyu Wang, Zongyan Cao, Chang Si, Lansong Diao, Jiamang Wang, Wei Lin
2023	J	`jnl`	Auto-Parallelizing Large Models with Rhino: A Systematic Approach on Production AI Platform. CoRR Shiwei Zhang, Lansong Diao, Siyu Wang, Zongyan Cao, Yiliang Gu, Chang Si, Ziji Shi, Zhen Zheng, Chuan Wu, Wei Lin
2023	J	`jnl`	Expediting Distributed DNN Training With Device Topology-Aware Graph Deployment. IEEE Trans. Parallel Distributed Syst. Shiwei Zhang, Xiaodong Yi, Lansong Diao, Chuan Wu, Siyu Wang, Wei Lin
2023	J	`jnl`	Expediting Distributed DNN Training with Device Topology-Aware Graph Deployment. CoRR Shiwei Zhang, Xiaodong Yi, Lansong Diao, Chuan Wu, Siyu Wang, Wei Lin
2022	—	`conf`	Accelerating large-scale distributed neural network training with SPMD parallelism. SoCC Shiwei Zhang, Lansong Diao, Chuan Wu, Siyu Wang, Wei Lin
2022	J	`jnl`	Optimizing DNN Compilation for Distributed Training With Joint OP and Tensor Fusion. IEEE Trans. Parallel Distributed Syst. Xiaodong Yi, Shiwei Zhang, Lansong Diao, Chuan Wu, Zhen Zheng, Shiqing Fan, Siyu Wang, Jun Yang, Wei Lin
2022	J	`jnl`	Optimizing DNN Compilation for Distributed Training with Joint OP and Tensor Fusion. CoRR Xiaodong Yi, Shiwei Zhang, Lansong Diao, Chuan Wu, Zhen Zheng, Shiqing Fan, Siyu Wang, Jun Yang, Wei Lin
2021	B	`conf`	DAPPLE: a pipelined data parallel approach for training large models. PPoPP 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
2020	J	`jnl`	Auto-MAP: A DQN Framework for Exploring Distributed Execution Plans for DNN Workloads. CoRR Siyu Wang, Yi Rong, Shiqing Fan, Zhen Zheng, Lansong Diao, Guoping Long, Jun Yang, Xiaoyong Liu, Wei Lin
2020	J	`jnl`	DAPPLE: A Pipelined Data Parallel Approach for Training Large Models. CoRR 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