
Thomas Bouvier
4
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
Publications
|
Efficient Distributed Continual Learning for Steering Experiments in Real-TimeFuture Generation Computer Systems, 2024, pp.1-19. ⟨10.1016/j.future.2024.07.016⟩
Article dans une revue
hal-04664176
v2
|
|
Efficient Data-Parallel Continual Learning with Asynchronous Distributed Rehearsal BuffersCCGrid 2024 - IEEE 24th International Symposium on Cluster, Cloud and Internet Computing, May 2024, Philadelphia (PA), United States. pp.1-10, ⟨10.1109/CCGrid59990.2024.00036⟩
Communication dans un congrès
hal-04600107
v1
|
|
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-03338520
v2
|
|
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-03270129
v1
|
Chargement...
Chargement...