New KerData members!

KerData has expanded considerably in recent months! Welcome to Silvina Caino-Lores and Guillaume Pallez, permanent Researchers on the team. And welcome to Jakob Luettgau, who joins us as Research Scientist for a few years. We also welcome Mathis Valli and Robin Boëzennec, who have chosen to do their PhD with…

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PEPR NumPEx

KerData is one of the core teams of the NumPEx PEPR Exa-DoST project, whose aim is to prepare the software stack for France’s first exascale machine. In this context, we have several job offers open. Don’t hesitate to contact us!

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PEPR Cloud

We’re delighted to be joining the PEPR Cloud through the STEEL project led by KerData team leader Gabriel Antoniu, whose aim is to explore the efficient and secure use of cloud storage. Job offers are available through this project. Don’t hesitate to contact us!

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Our work in Emergences

Our work in the framework of the European project ACROSS has got an article in the Emergences blog of Inria. The contribution of Damaris to the project is in particular highlighted while the main challenges of these next years in the field of HPC/Big Data/IA convergence are presented. The article,…

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ACROSS (H2020)

The ACROSS project will co-design and develop an HPC, BD, and Artificial Intelligence (AI) convergent platform, supporting applications in the aeronautics, climate and weather, and energy domains. To this end, ACROSS will leverage on next generation of pre-exascale infrastructures, still being ready for exascale systems, and on effective mechanisms to…

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UNIFY Associate Team

The UNIFY Associate Team aims to explore innovative approaches to workflow optimization, adaptive data management and processing through hybrid techniques leveraging the strengths of the three aforementioned ecosystems. UNIFY is a collaboration between Inria (KerData and DataMove teams) and Argonne National Laboratory in the US.

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SmartFastData Associate Team

SmartFastData is an Inria Associate Team started in 2019 between the KerData team from IRISA (France) and the Network and Data Science Laboratory from Instituto Politécnico Nacional (Mexico). The goal of this project is to build a data management platform that will enable comprehensive joint analytics of past (historical) and present (real-time)…

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