Jinkun Geng
Orcid: 0000-0002-6574-8349
According to our database1,
Jinkun Geng
authored at least 32 papers
between 2015 and 2024.
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Bibliography
2024
2023
Comput. Networks, June, 2023
Proceedings of the Database Systems for Advanced Applications, 2023
2022
Impact of Synchronization Topology on DML Performance: Both Logical Topology and Physical Topology.
IEEE/ACM Trans. Netw., 2022
Proc. VLDB Endow., 2022
2021
Accelerating End-to-End Deep Learning Workflow With Codesign of Data Preprocessing and Scheduling.
IEEE Trans. Parallel Distributed Syst., 2021
Comput. Networks, 2021
Proceedings of the HotOS '21: Workshop on Hot Topics in Operating Systems, 2021
2020
A Scalable, High-Performance, and Fault-Tolerant Network Architecture for Distributed Machine Learning.
IEEE/ACM Trans. Netw., 2020
Int. J. Comput. Sci. Eng., 2020
Web Service Recommendation based on Knowledge Graph Convolutional Network and Doc2Vec.
Proceedings of the 2020 IEEE World Congress on Services, 2020
Incorporating Intra-flow Dependencies and Inter-flow Correlations for Traffic Matrix Prediction.
Proceedings of the 28th IEEE/ACM International Symposium on Quality of Service, 2020
Proceedings of the 39th IEEE Conference on Computer Communications, 2020
Proceedings of the 39th IEEE Conference on Computer Communications, 2020
Fela: Incorporating Flexible Parallelism and Elastic Tuning to Accelerate Large-Scale DML.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020
2019
CCF Trans. Netw., 2019
HiPower: A High-Performance RDMA Acceleration Solution for Distributed Transaction Processing.
Proceedings of the Network and Parallel Computing, 2019
Proceedings of the 38th IEEE International Performance Computing and Communications Conference, 2019
Impact of Network Topology on the Performance of DML: Theoretical Analysis and Practical Factors.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019
DLBooster: Boosting End-to-End Deep Learning Workflows with Offloading Data Preprocessing Pipelines.
Proceedings of the 48th International Conference on Parallel Processing, 2019
Rima: An RDMA-Accelerated Model-Parallelized Solution to Large-Scale Matrix Factorization.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019
Proceedings of the 10th Workshop on Scientific Cloud Computing, 2019
Horizontal or Vertical?: A Hybrid Approach to Large-Scale Distributed Machine Learning.
Proceedings of the 10th Workshop on Scientific Cloud Computing, 2019
Proceedings of the 3rd Asia-Pacific Workshop on Networking, 2019
2018
HiPS: Hierarchical Parameter Synchronization in Large-Scale Distributed Machine Learning.
Proceedings of the 2018 Workshop on Network Meets AI & ML, 2018
BML: A High-performance, Low-cost Gradient Synchronization Algorithm for DML Training.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 2nd Asia-Pacific Workshop on Networking, 2018
2017
Proceedings of the 2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC), 2017
Proceedings of the First Asia-Pacific Workshop on Networking, 2017
2015
Proceedings of the Security and Privacy in Communication Networks, 2015
Proceedings of the Algorithms and Architectures for Parallel Processing, 2015