Kaihao Ma

According to our database, Kaihao Ma authored at least 7 papers between 2019 and 2024.

Collaborative distances:

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

2024

PPS: Fair and efficient black-box scheduling for multi-tenant GPU clusters.

Kaihao Ma, Zhenkun Cai, Xiao Yan, Yang Zhang, Zhi Liu, Yihui Feng, Chao Li, Wei Lin, James Cheng

Parallel Comput., 2024

2023

FEC: Efficient Deep Recommendation Model Training with Flexible Embedding Communication.

Kaihao Ma, Xiao Yan, Zhenkun Cai, Yuzhen Huang, Yidi Wu, James Cheng

Proc. ACM Manag. Data, 2023

2022

Elastic Deep Learning in Multi-Tenant GPU Clusters.

Yidi Wu, Kaihao Ma, Xiao Yan, Zhi Liu, Zhenkun Cai, Yuzhen Huang, James Cheng, Han Yuan, Fan Yu

IEEE Trans. Parallel Distributed Syst., 2022

TensorOpt: Exploring the Tradeoffs in Distributed DNN Training With Auto-Parallelism.

Zhenkun Cai, Xiao Yan, Kaihao Ma, Yidi Wu, Yuzhen Huang, James Cheng, Teng Su, Fan Yu

IEEE Trans. Parallel Distributed Syst., 2022

2021

Seastar: vertex-centric programming for graph neural networks.

Yidi Wu, Kaihao Ma, Zhenkun Cai, Tatiana Jin, Boyang Li, Chengguang Zheng, James Cheng, Fan Yu

Proceedings of the EuroSys '21: Sixteenth European Conference on Computer Systems, 2021

DGCL: an efficient communication library for distributed GNN training.

Zhenkun Cai, Xiao Yan, Yidi Wu, Kaihao Ma, James Cheng, Fan Yu

Proceedings of the EuroSys '21: Sixteenth European Conference on Computer Systems, 2021

2019

Elastic deep learning in multi-tenant GPU cluster.

Yidi Wu, Kaihao Ma, Xiao Yan, Zhi Liu, James Cheng

CoRR, 2019