Kevin Assogba

According to our database, Kevin Assogba authored at least 10 papers between 2018 and 2023.

Collaborative distances:

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

2023

Asynchronous Multi-Level Checkpointing: An Enabler of Reproducibility using Checkpoint History Analytics.

Kevin Assogba, Bogdan Nicolae, Hubertus Van Dam, M. Mustafa Rafique

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Optimizing the Training of Co-Located Deep Learning Models Using Cache-Aware Staggering.

Kevin Assogba, Bogdan Nicolae, M. Mustafa Rafique

Proceedings of the 30th IEEE International Conference on High Performance Computing, 2023

Building the I (Interoperability) of FAIR for Performance Reproducibility of Large-Scale Composable Workflows in RECUP.

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

Proceedings of the 19th IEEE International Conference on e-Science, 2023

PredictDDL: Reusable Workload Performance Prediction for Distributed Deep Learning.

Kevin Assogba, Eduardo Lima, M. Mustafa Rafique, Minseok Kwon

Proceedings of the IEEE International Conference on Cluster Computing, 2023

2022

Canary: Fault-Tolerant FaaS for Stateful Time-Sensitive Applications.

Moiz Arif, Kevin Assogba, M. Mustafa Rafique

Proceedings of the SC22: International Conference for High Performance Computing, 2022

Exploiting CXL-based Memory for Distributed Deep Learning.

Moiz Arif, Kevin Assogba, M. Mustafa Rafique, Sudharshan Vazhkudai

Proceedings of the 51st International Conference on Parallel Processing, 2022

On Realizing Efficient Deep Learning Using Serverless Computing.

Kevin Assogba, Moiz Arif, M. Mustafa Rafique, Dimitrios S. Nikolopoulos

Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

2018

Collaboration and transportation resource sharing in multiple centers vehicle routing optimization with delivery and pickup.

Yong Wang, Jie Zhang, Kevin Assogba, Yong Liu, Maozeng Xu, Yinhai Wang

Knowl. Based Syst., 2018

Two-echelon logistics delivery and pickup network optimization based on integrated cooperation and transportation fleet sharing.

Yong Wang, Shouguo Peng, Chengcheng Xu, Kevin Assogba, Haizhong Wang, Maozeng Xu, Yinhai Wang

Expert Syst. Appl., 2018

Two-echelon location-routing optimization with time windows based on customer clustering.

Yong Wang, Kevin Assogba, Yong Liu, Xiaolei Ma, Maozeng Xu, Yinhai Wang

Expert Syst. Appl., 2018