Kevin Assogba

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 10

Top Topics

Customer Segmentation

Alternating Optimization

Vehicle Routing

Top Venues

Expert Syst. Appl.

Publications

Kevin Assogba, Eduardo Lima, M. Mustafa Rafique, Minseok Kwon
PredictDDL: Reusable Workload Performance Prediction for Distributed Deep Learning. CLUSTER (2023)
Bogdan Nicolae, Tanzima Z. Islam, Robert B. Ross, Huub J. J. Van Dam, Kevin Assogba, Polina Shpilker, Mikhail Titov, Matteo Turilli, Tianle Wang, Ozgur O. Kilic, Shantenu Jha, Line C. Pouchard
Building the I (Interoperability) of FAIR for Performance Reproducibility of Large-Scale Composable Workflows in RECUP. e-Science (2023)
Kevin Assogba, Bogdan Nicolae, M. Mustafa Rafique
Optimizing the Training of Co-Located Deep Learning Models Using Cache-Aware Staggering. HiPC (2023)
Kevin Assogba, Bogdan Nicolae, Hubertus Van Dam, M. Mustafa Rafique
Asynchronous Multi-Level Checkpointing: An Enabler of Reproducibility using Checkpoint History Analytics. SC Workshops (2023)
Moiz Arif, Kevin Assogba, M. Mustafa Rafique
Canary: Fault-Tolerant FaaS for Stateful Time-Sensitive Applications. SC (2022)
Kevin Assogba, Moiz Arif, M. Mustafa Rafique, Dimitrios S. Nikolopoulos
On Realizing Efficient Deep Learning Using Serverless Computing. CCGRID (2022)
Moiz Arif, Kevin Assogba, M. Mustafa Rafique, Sudharshan Vazhkudai
Exploiting CXL-based Memory for Distributed Deep Learning. ICPP (2022)
Yong Wang, Shouguo Peng, Chengcheng Xu, Kevin Assogba, Haizhong Wang, Maozeng Xu, Yinhai Wang
Two-echelon logistics delivery and pickup network optimization based on integrated cooperation and transportation fleet sharing. Expert Syst. Appl. 113 (2018)
Yong Wang, Jie Zhang, Kevin Assogba, Yong Liu, Maozeng Xu, Yinhai Wang
Collaboration and transportation resource sharing in multiple centers vehicle routing optimization with delivery and pickup. Knowl. Based Syst. 160 (2018)
Yong Wang, Kevin Assogba, Yong Liu, Xiaolei Ma, Maozeng Xu, Yinhai Wang
Two-echelon location-routing optimization with time windows based on customer clustering. Expert Syst. Appl. 104 (2018)