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Kevin Assogba
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2020 – today
- 2023
- [c7]Kevin Assogba
, Eduardo Lima, M. Mustafa Rafique, Minseok Kwon:
PredictDDL: Reusable Workload Performance Prediction for Distributed Deep Learning. CLUSTER 2023: 13-24 - [c6]Bogdan Nicolae, Tanzima Z. Islam, Robert B. Ross, Huub J. J. Van Dam
Building the I (Interoperability) of FAIR for Performance Reproducibility of Large-Scale Composable Workflows in RECUP. e-Science 2023: 1-7 - [c5]Kevin Assogba
Optimizing the Training of Co-Located Deep Learning Models Using Cache-Aware Staggering. HiPC 2023: 246-255 - [c4]Kevin Assogba
Asynchronous Multi-Level Checkpointing: An Enabler of Reproducibility using Checkpoint History Analytics. SC Workshops 2023: 1748-1756 - 2022
- [c3]Kevin Assogba
On Realizing Efficient Deep Learning Using Serverless Computing. CCGRID 2022: 220-229 - [c2]Moiz Arif, Kevin Assogba
Exploiting CXL-based Memory for Distributed Deep Learning. ICPP 2022: 19:1-19:11 - [c1]Moiz Arif, Kevin Assogba
Canary: Fault-Tolerant FaaS for Stateful Time-Sensitive Applications. SC 2022: 41:1-41:16
2010 – 2019
- 2018
- [j3]Yong Wang, Kevin Assogba
Two-echelon location-routing optimization with time windows based on customer clustering. Expert Syst. Appl. 104: 244-260 (2018) - [j2]Yong Wang
Two-echelon logistics delivery and pickup network optimization based on integrated cooperation and transportation fleet sharing. Expert Syst. Appl. 113: 44-65 (2018) - [j1]Yong Wang
Collaboration and transportation resource sharing in multiple centers vehicle routing optimization with delivery and pickup. Knowl. Based Syst. 160: 296-310 (2018)
Coauthor Index
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last updated on 2024-08-05 20:22 CEST by the dblp team
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