12–13 Mar 2026
Maison des Mines et des Ponts et Chaussées
Europe/Paris timezone

Contribution List

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  1. Mr Philipp Falk
    Session II: Status and Development Trends
    Presentation

    Data-heavy workloads demand flexible and efficient storage strategies. In this session, the BeeGFS VP of Engineering will present BeeGFS auto-tiering capabilities, demonstrating how data can be dynamically placed across different storage tiers, including internal BeeGFS systems and external S3-based storage to balance performance, scalability, and cost.

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  2. Michael Hennecke (HPE)
    Session II: Status and Development Trends
    Presentation

    This presentation will provide an update on activities in the DAOS Foundation including the upcoming DAOS 2.8 release, first experiences of deploying DAOS on 400Gbps fabrics (IB-NDR, Slingshot 400, OPA 400, RoCE), a preview of the HPE Cray Supercomputing Storage K3000 product based on DAOS, and other notable research and development topics from the DAOS community.

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  3. Malte Christian Kuns (TU Dresden)

    Ad hoc filesystems across node-local SSDs can help alleviate the I/O bottleneck imposed by an HDD-backed shared filesystem, aiding efficient compute resource utilization. In an attempt to reduce strain on the global storage and make better use of node local storage, GekkoFS is under examination for TU Dresden's HPC systems. I highlight our considerations for an ad hoc filesystem as well as...

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  4. Ramon Nou Castell (Barcelona Supercomputing Center)

    The presentation will show the last updates in GekkoFS, architecture, new backends, hardware support, and a exploration of new features developed under the umbrella of the Barcelona Zettascale Lab.

    • Syscall Intercept
    • LibC intercept
    • FUSE backend
    • Small file, data distribution
    • What worked and what no.
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  5. Dr Marc Vef (DDN/Whamcloud)
    Session II: Status and Development Trends
    Presentation

    This talk will present the current status of Lustre development, upcoming features, and roadmap. This will include topics, such as:
    - the Lustre nodemap feature that was significantly extended recently;
    - the Erasure Coding effort status and next steps with Immediate Write Mirroring;
    - the Lustre Trashcan/undelete feature; and
    - the Lustre quota aggregation feature.

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  6. Janos Zimmermann (German Climate Computing Center)
    Session I: Operational Experiences and Aspects
    Presentation

    We operate a 120 PiB Lustre filesystem at DKRZ with billions of inodes. At the same time, climate and Earth system workflows are increasingly moving toward chunked, object-style formats such as Zarr. While this shift enables scalable and cloud-aligned data access patterns, it also dramatically increases inode counts. As a result, traditional namespace traversals become slow,...

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  7. Cyril BAUDRY (EDF)
    Session I: Operational Experiences and Aspects
    Presentation

    EDF has been using HPC computing for many years in its R&D and production activities. After a brief introduction to the challenges of HPC computing, we will provide an overview of our storage systems for computing and long-term storage. We will then present the difficulties encountered with our current configurations. We will conclude this presentation with new opportunities related to...

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  8. Thomas LEIBOVICI (CEA)
    Session II: Status and Development Trends
    Presentation

    In the era of exascale computing and data-intensive workflows, efficient tiered storage architectures are essential to balance performance, capacity, and cost. While parallel file systems like Lustre, BeeGFS, and DAOS excel at handling high-throughput I/O, the seamless integration of high-capacity, long-term storage solutions such as tape libraries remains a major challenge for long-term data...

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  9. Yoann Valeri (CEA)
    Session II: Status and Development Trends
    Presentation

    As supercomputers are becoming faster and faster, so does their data output. Since the regularly accessed data must be stored and available quickly to users, it is important to put it on fast storage systems. However, these tend to have a low capacity, meaning we must be able to chose the data which should remain on those types of storage systems, and which can be placed on slower but more...

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