Kevin Assogba

13 papers A 3B 3C 1Misc 1Journal 3Unranked 2
YearRankTypeTitle / Venue / Authors
2025 — conf
Bayelemabaga: Creating Resources for Bambara NLP.
NAACL (Long Papers)
Allahsera Auguste Tapo, Kevin Assogba, Christopher M. Homan, M. Mustafa Rafique, Marcos Zampieri
2025 A conf
On Optimizing Checkpoint Restoration for HPC Applications: Leveraging Merkle Trees and Asynchronous I/O.
HPDC
Zackary Malkmus, Nigel Tan, Ian Lumsden, Kevin Assogba, M. Mustafa Rafique, Bogdan Nicolae, Michela Taufer
2024 A conf
Towards Affordable Reproducibility Using Scalable Capture and Comparison of Intermediate Multi-Run Results.
Middleware
Nigel Tan, Kevin Assogba, Walter J. Ashworth, Befikir Bogale, Franck Cappello, M. Mustafa Rafique, Michela Taufer, Bogdan Nicolae
2023 — conf
Asynchronous Multi-Level Checkpointing: An Enabler of Reproducibility using Checkpoint History Analytics.
SC Workshops
Kevin Assogba, Bogdan Nicolae, Hubertus Van Dam, M. Mustafa Rafique
2023 B conf
Building the I (Interoperability) of FAIR for Performance Reproducibility of Large-Scale Composable Workflows in RECUP.
e-Science
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
2023 Misc conf
Optimizing the Training of Co-Located Deep Learning Models Using Cache-Aware Staggering.
HiPC
Kevin Assogba, Bogdan Nicolae, M. Mustafa Rafique
2023 C conf
PredictDDL: Reusable Workload Performance Prediction for Distributed Deep Learning.
CLUSTER
Kevin Assogba, Eduardo Lima, M. Mustafa Rafique, Minseok Kwon
2022 A conf
Canary: Fault-Tolerant FaaS for Stateful Time-Sensitive Applications.
SC
Moiz Arif, Kevin Assogba, M. Mustafa Rafique
2022 B conf
Exploiting CXL-based Memory for Distributed Deep Learning.
ICPP
Moiz Arif, Kevin Assogba, M. Mustafa Rafique, Sudharshan Vazhkudai
2022 B conf
On Realizing Efficient Deep Learning Using Serverless Computing.
CCGRID
Kevin Assogba, Moiz Arif, M. Mustafa Rafique, Dimitrios S. Nikolopoulos
2018 J jnl
Collaboration and transportation resource sharing in multiple centers vehicle routing optimization with delivery and pickup.
Knowl. Based Syst.
Yong Wang, Jie Zhang, Kevin Assogba, Yong Liu, Maozeng Xu, Yinhai Wang
2018 J jnl
Two-echelon location-routing optimization with time windows based on customer clustering.
Expert Syst. Appl.
Yong Wang, Kevin Assogba, Yong Liu, Xiaolei Ma, Maozeng Xu, Yinhai Wang
2018 J jnl
Two-echelon logistics delivery and pickup network optimization based on integrated cooperation and transportation fleet sharing.
Expert Syst. Appl.
Yong Wang, Shouguo Peng, Chengcheng Xu, Kevin Assogba, Haizhong Wang, Maozeng Xu, Yinhai Wang