Zizhao Mo

According to our database, Zizhao Mo authored at least 8 papers between 2023 and 2025.

Collaborative distances:

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

2025

Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism.

Zizhao Mo, Jianxiong Liao, Huanle Xu, Zhi Zhou, Chengzhong Xu

Proceedings of the International Conference for High Performance Computing, 2025

Fast and Fair Training for Deep Learning in Heterogeneous GPU Clusters.

Zizhao Mo, Huanle Xu, Wing Cheong Lau

Proceedings of the 39th ACM International Conference on Supercomputing, 2025

2024

Heet: Accelerating Elastic Training in Heterogeneous Deep Learning Clusters.

Zizhao Mo, Huanle Xu, Chengzhong Xu

Dataset, January, 2024

Optimal Resource Efficiency with Fairness in Heterogeneous GPU Clusters.

Zizhao Mo, Huanle Xu, Wing Cheong Lau

Proceedings of the 25th International Middleware Conference, 2024

Derm: SLA-aware Resource Management for Highly Dynamic Microservices.

Liao Chen, Shutian Luo, Chenyu Lin, Zizhao Mo, Huanle Xu, Kejiang Ye, ChengZhong Xu

Proceedings of the 51st ACM/IEEE Annual International Symposium on Computer Architecture, 2024

Heet: Accelerating Elastic Training in Heterogeneous Deep Learning Clusters.

Zizhao Mo, Huanle Xu, Chengzhong Xu

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

Interference-aware Multiplexing for Deep Learning in GPU Clusters: A Middleware Approach.

Wenyan Chen, Zizhao Mo, Huanle Xu, Kejiang Ye, Chengzhong Xu

Dataset, June, 2023

Interference-aware Multiplexing for Deep Learning in GPU Clusters: A Middleware Approach.

Wenyan Chen, Zizhao Mo, Huanle Xu, Kejiang Ye, Chengzhong Xu

Proceedings of the International Conference for High Performance Computing, 2023