Jinkun Geng

According to our database, Jinkun Geng authored at least 35 papers between 2015 and 2024.

Collaborative distances:

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

2024

A high-performance dataflow-centric optimization framework for deep learning inference on the edge.

Runhua Zhang, Hongxu Jiang, Jinkun Geng, Fangzheng Tian, Yuhang Ma, Haojie Wang

J. Syst. Archit., 2024

Jasper: Scalable and Fair Multicast for Financial Exchanges in the Cloud.

Muhammad Haseeb, Jinkun Geng, Ulysses Butler, Xiyu Hao, Daniel Duclos-Cavalcanti, Anirudh Sivaraman

CoRR, 2024

POSTER: Jasper, A Scalable and Fair Multicast for Financial Exchanges in the Cloud.

Muhammad Haseeb, Jinkun Geng, Ulysses Butler, Xiyu Hao, Daniel Duclos-Cavalcanti, Anirudh Sivaraman

Proceedings of the ACM SIGCOMM 2024 Conference: Posters and Demos, 2024

2023

Light: A Compatible, high-performance and scalable user-level network stack.

Junfeng Li, Dan Li, Huiyou Jiang, Du Lin, Jinkun Geng, Yukai Huang, K. K. Ramakrishnan, Kai Zheng

Comput. Networks, June, 2023

Diffusion Policies as Multi-Agent Reinforcement Learning Strategies.

Jinkun Geng, Xiubo Liang, Hongzhi Wang, Yu Zhao

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

Xenos : Dataflow-Centric Optimization to Accelerate Model Inference on Edge Devices.

Runhua Zhang, Hongxu Jiang, Fangzheng Tian, Jinkun Geng, Xiaobin Li, Yuhang Ma, Chenhui Zhu, Dong Dong, Xin Li, Haojie Wang

Proceedings of the Database Systems for Advanced Applications, 2023

2022

Impact of Synchronization Topology on DML Performance: Both Logical Topology and Physical Topology.

Shuai Wang, Jinkun Geng, Dan Li

IEEE/ACM Trans. Netw., 2022

Nezha: Deployable and High-Performance Consensus Using Synchronized Clocks.

Jinkun Geng, Anirudh Sivaraman, Balaji Prabhakar, Mendel Rosenblum

Proc. VLDB Endow., 2022

2021

Accelerating End-to-End Deep Learning Workflow With Codesign of Data Preprocessing and Scheduling.

Yang Cheng, Dan Li, Zhiyuan Guo, Binyao Jiang, Jinkun Geng, Wei Bai, Jianping Wu, Yongqiang Xiong

IEEE Trans. Parallel Distributed Syst., 2021

Sphinx: A transport protocol for high-speed and lossy mobile networks.

Junfeng Li, Dan Li, Wenfei Wu, K. K. Ramakrishnan, Jinkun Geng, Fanzhao Wang, Kai Zheng

Comput. Networks, 2021

CloudEx: a fair-access financial exchange in the cloud.

Ahmad Ghalayini, Jinkun Geng, Vighnesh Sachidananda, Vinay Sriram, Yilong Geng, Balaji Prabhakar, Mendel Rosenblum, Anirudh Sivaraman

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.

Songtao Wang, Dan Li, Yang Cheng, Jinkun Geng, Yanshu Wang, Shuai Wang, Shutao Xia, Jianping Wu

IEEE/ACM Trans. Netw., 2020

Web services classification via combining Doc2Vec and LINE model.

Hongfan Ye, Buqing Cao, Jinkun Geng, Yiping Wen

Int. J. Comput. Sci. Eng., 2020

Web Service Recommendation based on Knowledge Graph Convolutional Network and Doc2Vec.

Jinkun Geng, Buqing Cao, Hongfan Ye, Junjie Chen, Mi Peng, Jianxun Liu

Proceedings of the 2020 IEEE World Congress on Services, 2020

Incorporating Intra-flow Dependencies and Inter-flow Correlations for Traffic Matrix Prediction.

Kaihui Gao, Dan Li, Li Chen, Jinkun Geng, Fei Gui, Yang Cheng, Yue Gu

Proceedings of the 28th IEEE/ACM International Symposium on Quality of Service, 2020

Geryon: Accelerating Distributed CNN Training by Network-Level Flow Scheduling.

Shuai Wang, Dan Li, Jinkun Geng

Proceedings of the 39th IEEE Conference on Computer Communications, 2020

Predicting Traffic Demand Matrix by Considering Inter-flow Correlations.

Kaihui Gao, Dan Li, Li Chen, Jinkun Geng, Fei Gui, Yang Cheng, Yue Gu

Proceedings of the 39th IEEE Conference on Computer Communications, 2020

Fela: Incorporating Flexible Parallelism and Elastic Tuning to Accelerate Large-Scale DML.

Jinkun Geng, Dan Li, Shuai Wang

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019

Bridging machine learning and computer network research: a survey.

Yang Cheng, Jinkun Geng, Yanshu Wang, Junfeng Li, Dan Li, Jianping Wu

CCF Trans. Netw., 2019

HiPower: A High-Performance RDMA Acceleration Solution for Distributed Transaction Processing.

Runhua Zhang, Yang Cheng, Jinkun Geng, Shuai Wang, Kaihui Gao, Guowei Shen

Proceedings of the Network and Parallel Computing, 2019

Sphinx: A Transport Protocol for High-Speed and Lossy Mobile Networks.

Junfeng Li, Dan Li, Wenfei Wu, K. K. Ramakrishnan, Jinkun Geng, Fei Gui, Fanzhao Wang, Kai Zheng

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.

Shuai Wang, Dan Li, Jinkun Geng, Yue Gu, Yang Cheng

Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

DLBooster: Boosting End-to-End Deep Learning Workflows with Offloading Data Preprocessing Pipelines.

Yang Cheng, Dan Li, Zhiyuan Guo, Binyao Jiang, Jiaxin Lin, Xi Fan, Jinkun Geng, Xinyi Yu, Wei Bai, Lei Qu, Ran Shu, Peng Cheng, Yongqiang Xiong, Jianping Wu

Proceedings of the 48th International Conference on Parallel Processing, 2019

Rima: An RDMA-Accelerated Model-Parallelized Solution to Large-Scale Matrix Factorization.

Jinkun Geng, Dan Li, Shuai Wang

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

ElasticPipe: An Efficient and Dynamic Model-Parallel Solution to DNN Training.

Jinkun Geng, Dan Li, Shuai Wang

Proceedings of the 10th Workshop on Scientific Cloud Computing, 2019

Horizontal or Vertical?: A Hybrid Approach to Large-Scale Distributed Machine Learning.

Jinkun Geng, Dan Li, Shuai Wang

Proceedings of the 10th Workshop on Scientific Cloud Computing, 2019

Accelerating Distributed Machine Learning by Smart Parameter Server.

Jinkun Geng, Dan Li, Shuai Wang

Proceedings of the 3rd Asia-Pacific Workshop on Networking, 2019

2018

Towards full virtualization of SDN infrastructure.

Junfeng Li, Dan Li, Yirong Yu, Yukai Huang, Jing Zhu, Jinkun Geng

Comput. Networks, 2018

HiPS: Hierarchical Parameter Synchronization in Large-Scale Distributed Machine Learning.

Jinkun Geng, Dan Li, Yang Cheng, Shuai Wang, Junfeng Li

Proceedings of the 2018 Workshop on Network Meets AI & ML, 2018

BML: A High-performance, Low-cost Gradient Synchronization Algorithm for DML Training.

Songtao Wang, Dan Li, Yang Cheng, Jinkun Geng, Yanshu Wang, Shuai Wang, Shu-Tao Xia, Jianping Wu

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Dante: Enabling FOV-Aware Adaptive FEC Coding for 360-Degree Video Streaming.

Zhetao Li, Fei Gui, Jinkun Geng, Dan Li, Zhibo Wang, Junfeng Li, Yang Cheng, Usama Zafar

Proceedings of the 2nd Asia-Pacific Workshop on Networking, 2018

2017

CODE: Incorporating Correlation and Dependency for Task Scheduling in Data Center.

Jinkun Geng

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

LOS: A High Performance and Compatible User-level Network Operating System.

Yukai Huang, Jinkun Geng, Du Lin, Bin Wang, Junfeng Li, Ruilin Ling, Dan Li

Proceedings of the First Asia-Pacific Workshop on Networking, 2017

2015

A Novel Clustering Algorithm for Database Anomaly Detection.

Jinkun Geng, Daren Ye, Ping Luo, Pin Lv

Proceedings of the Security and Privacy in Communication Networks, 2015

Predicting Severity of Software Vulnerability Based on Grey System Theory.

Jinkun Geng, Daren Ye, Ping Luo

Proceedings of the Algorithms and Architectures for Parallel Processing, 2015