Kaihao Ma

Orcid: 0009-0001-3176-7816

According to our database1, Kaihao Ma authored at least 9 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
KBest: Efficient Vector Search on Kunpeng CPU.
CoRR, August, 2025

Adaptive Parallel Training for Graph Neural Networks.
Proceedings of the 30th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2025

2024
PPS: Fair and efficient black-box scheduling for multi-tenant GPU clusters.
Parallel Comput., 2024

2023
FEC: Efficient Deep Recommendation Model Training with Flexible Embedding Communication.
Proc. ACM Manag. Data, 2023

2022
Elastic Deep Learning in Multi-Tenant GPU Clusters.
IEEE Trans. Parallel Distributed Syst., 2022

TensorOpt: Exploring the Tradeoffs in Distributed DNN Training With Auto-Parallelism.
IEEE Trans. Parallel Distributed Syst., 2022

2021
Seastar: vertex-centric programming for graph neural networks.
Proceedings of the EuroSys '21: Sixteenth European Conference on Computer Systems, 2021

DGCL: an efficient communication library for distributed GNN training.
Proceedings of the EuroSys '21: Sixteenth European Conference on Computer Systems, 2021

2019
Elastic deep learning in multi-tenant GPU cluster.
CoRR, 2019


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