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024 7 _ |a 10.1051/epjconf/202533701296
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024 7 _ |a 2100-014X
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024 7 _ |a 2101-6275
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024 7 _ |a 10.34734/FZJ-2026-01050
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037 _ _ |a FZJ-2026-01050
082 _ _ |a 530
100 1 _ |a Ciangottini, Diego
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111 2 _ |a Conference on Computing in High Energy and Nuclear Physics
|g CHEP 2024
|c Kraków
|d 2024-10-19 - 2024-10-25
|w Poland
245 _ _ |a Unlocking the compute continuum: Scaling out from cloud to HPC and HTC resources
260 _ _ |a Les Ulis
|c 2025
|b EDP Sciences
300 _ _ |a 8 p.
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490 0 _ |a The European physical journal / Web of Conferences
520 _ _ |a In a geo-distributed computing infrastructure with heterogeneous resources (HPC and HTC and possibly cloud), a key to unlock an efficient and user-friendly access to the resources is being able to offload each specific task to the best suited location. One of the most critical problems involves the logistics of wide-area, multi-stage workflows that move back and forth between multiple resource providers. We envision a model where such a challenge can be addressed enabling a “transparent offloading” of containerized payloads using the Kubernetes API primitives creating a common cloud-native interface to access any number of external hardware machines and type of backends. Thus we created the interLink project, an open source extension to the concept of Virtual-Kubelet with a design that aims for a common abstraction over heterogeneous and distributed backends. interLink is developed by INFN in the context of interTwin, an EU funded project that aims to build a digital-twin platform (Digital Twin Engine) for sciences, and the ICSC National Research Center for High Performance Computing, Big Data and Quantum Computing in Italy. In this talk we first provide a comprehensive overview of the key features and the technical implementation. We showcase our major case studies, such as the scale-out of an analysis facility, and the distribution of ML training processes. We focus on the impacts of being able to seamlessly exploit world-class EuroHPC supercomputers with such a technology.
536 _ _ |a 5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups (POF4-511)
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536 _ _ |a interTwin - An interdisciplinary Digital Twin Engine for science (101058386)
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|f HORIZON-INFRA-2021-TECH-01
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588 _ _ |a Dataset connected to CrossRef, Journals: juser.fz-juelich.de
700 1 _ |a Spiga, Daniele
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700 1 _ |a Memon, Ahmed Shiraz
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700 1 _ |a Manzi, Andrea
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700 1 _ |a Filipcic, Andrej
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700 1 _ |a Troja, Antonino
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700 1 _ |a Fanzago, Federica
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700 1 _ |a Bianchini, Giulio
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700 1 _ |a Sgaravatto, Massimo
|0 P:(DE-HGF)0
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700 1 _ |a Prica, Teo
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700 1 _ |a Boccali, Tommaso
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700 1 _ |a Tedeschi, Tommaso
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773 _ _ |a 10.1051/epjconf/202533701296
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856 4 _ |u https://juser.fz-juelich.de/record/1052682/files/epjconf_chep2025_01296.pdf
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914 1 _ |y 2025
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