Thomas Bouvier
2
Documents
Présentation
My main current research interests are related to deployment and scheduling strategies for AI workloads on heterogeneous resources (HPC, cloud, fog, edge).
Relevant topics:
- Cloud data services and big data analytics
- Stream processing
- Parallel and distributed deep learning
- Online learning
- Workflow management and placement strategies
Publications
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Deploying Heterogeneity-aware Deep Learning Workloads on the Computing ContinuumBDA 2021 - 37e Conférence sur la Gestion de Données - Principes, Technologies et Applications, Oct 2021, Paris, France
Communication dans un congrès
hal-03338520v2
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Heterogeneity-aware Deep Learning Workload Deployments on the Computing ContinuumIPDPS 2021 - 35th IEEE International Parallel and Distributed Processing Symposium, May 2021, Virtual / Portland, United States
Poster de conférence
hal-03270129v1
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