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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
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Blog Post number 1
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portfolio
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publications
Leveraging Private Container Networks for Increased User Isolation and Flexibility on HPC Clusters
Published in High Performance Computing. ISC High Performance 2024 International Workshops, 2024
To address the increasing complexity of modern scientific computing workflows, HPC clusters must be able to accommodate a wider range of workloads without compromising their efficiency in processing batches of highly parallel jobs. Cloud computing providers have a long history of leveraging all forms of virtualization to let their clients easily and securely deploy complex distributed applications and similar capabilities are now expected from HPC facilities.
Recommended citation: Lise Jolicoeur, François Diakhaté, and Raymond Namyst. “Leveraging Private Container Networks for Increased User Isolation and Flexibility on HPC Clusters”. en. In: High Performance Computing. ISC High Performance 2024 International Workshops. Ed. by Michèle Weiland et al. Cham: Springer Nature Switzerland, 2025, pp. 415–426. isbn: 978-3-031-73716-9. doi: 10.1007/978-3-031-73716- 9_29.
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Enabling RDMA and GPUs in Rootless Kubernetes for Accelerated HPC and AI Applications
Published in 20th Workshop on Virtualization in High-Performance Cloud Computing (VHPC'25), 2025
HPC workflows increasingly integrate diverse technologies such asartificial intelligence (AI), machine learning (ML), data analytics,databases, and web services. Orchestrators like Kubernetes have beendesigned to facilitate deploying these heterogeneous workloads in cloudenvironments. Allowing Kubernetes to be launched and managed as a resourceon HPC clusters would facilitate the deployment of modern workflows in HPCenvironments. To enable the deployment of Kubernetes by unprivileged HPCusers, we evaluate the usability of a rootless version of Kubernetes,Usernetes. We analyze synthetic benchmarks as well as HPC and ML proxy appsto evaluate the overhead of Usernetes for HPC/ML workloads deployed on highperformance networks and GPUs. While the results show that applicationsrunning in Usernetes can take advantage of InfiniBand networks and NVIDAGPUs, some benchmarks incur measurable overheads at scale which warrantfurther investigation.
Recommended citation: Lise Jolicoeur, Vanessa Sochat, François Diakhaté, Daniel Milroy. "Enabling RDMA and GPUs in Rootless Kubernetes for Accelerated HPC and AI applications"
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
HPC courses at ENSIIE
Graduate course at Engineering school (M1 equivalent), École nationale supérieure d'informatique pour l'industrie et l'entreprise (ENSIIE), 2023
Yearly course that I taught each year of my PhD. I taught 3 specific courses in the HPC course that CEA is responsible of at ENSIIE.