Showing results 1 to 11 of 11
| Title | Author(s) | Issue Date | |
|---|---|---|---|
A Generic Communication Scheduler for Distributed DNN Training Acceleration Proceeding/Conference:The 27th ACM Symposium on Operating Systems Principles (SOSP 2019) | 2019 | ||
Deep Learning-based Job Placement in Distributed Machine Learning Clusters Proceeding/Conference:IEEE INFOCOM - IEEE Conference on Computer Communications | 2019 | ||
Deep Learning-Based Job Placement in Distributed Machine Learning Clusters With Heterogeneous Workloads Journal:IEEE/ACM Transactions on Networking | 2022 | ||
DL2: A Deep Learning-driven Scheduler for Deep Learning Clusters Journal:IEEE Transactions on Parallel and Distributed Systems | 2021 | ||
Elastic parameter server load distribution in deep learning clusters Proceeding/Conference:Proceedings of the 11th ACM Symposium on Cloud Computing | 2020 | ||
Geo-Distributed Big Data Analytics Systems: An Online Learning Approach for Dynamic Deployment Book:Smart Data: State-of-the-Art Perspectives in Computing and Application | 2019 | ||
Online influence mximization in non-stationary social networks Proceeding/Conference:ACM/IEEE International Symposium on Quality of Service, ACM/IEEE IWQoS 2016 | 2016 | ||
Online Job Scheduling in Distributed Machine Learning Clusters Proceeding/Conference:IEEE INFOCOM 2018 - IEEE International Conference on Computer Communications | 2018 | ||
Optimizing Task Placement and Online Scheduling for Distributed GNN Training Acceleration Proceeding/Conference:IEEE INFOCOM 2022 - IEEE Conference on Computer Communications | 2022 | ||
Optimus: An Efficient Dynamic Resource Scheduler for Deep Learning Clusters Proceeding/Conference:EuroSys (European Conference on Computer Systems), 2018 | 2018 | ||
Preemptive All-reduce Scheduling for Expediting Distributed DNN Training Proceeding/Conference:IEEE INFOCOM - IEEE Conference on Computer Communications | 2020 |