2026-01-06 12:19 |
[FZJ-2026-00067]
Talk (non-conference) (Invited)
Breuer, T.
JUPITER and an overview of its support infrastructure
2025High-Performance Computing Knowledge Portal, HPCKP, BarcelonaBarcelona, Spain, 3 Jun 2025 - 5 Jun 20252025-06-032025-06-05
The Jülich Supercomputing Centre (JSC) has been selected to host Europe’s first exascale computer, JUPITER.The first part of this talk will provide a brief introduction to JUPITER and share the latest updates on its installation.To help users make the most of such advanced systems, HPC centres also offer day-to-day support, develop tailored tools, and provide training.This requires broad expertise across multiple domains to meet a wide range of user needs. In the second part of the talk, we will highlight JSC’s support structure and showcase our in-house developed tools — JARDS, JuDoor, KontView, LLview, JuPin and more.These tools guide users through every stage of the HPC workflow, from project proposal and management to job submission and execution, empowering them to unlock the full potential of our systems..
External link: Fulltext
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2026-01-06 12:10 |
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2026-01-06 10:23 |
[FZJ-2026-00062]
Poster (Plenary/Keynote)
Grygosch, L.
[meta]data for non-invasive field phenotyping
2025European Plant Phenotyping Symposium, EPPS, BonnBonn, Germany, 16 Sep 2025 - 19 Sep 20252025-09-162025-09-19
Recent advancements in non-invasive sensor systems have revolutionized plant phenotyping field studies. Proximal sensing technologies along with remote sensingfrom satellites, aircrafts, and UAVs, now enable non-destructive measurements at different scales under realistic environmental conditions. [...]
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2026-01-06 10:13 |
[FZJ-2026-00061]
Dataset
Grygosch, L. ; Kleppert, I. ; Grygosch, L.
Systematic Literature Review for Field Phenotyping Data
We conducted a Systematic Literature Review (SLR) investigating the trajectory of field phenotyping research, moving beyond a catalog of technological advances to critically evaluate data availability and management practices. Our analysis is guided by the following research questions (RQs): - RQ1: What are the prevailing trends in field phenotyping literature regarding experimental scales, mea- sured traits, and deployed technologies? - RQ2: How prevalent are data sharing practices within the domain, and can these practices be correlated with specific experimental settings or technologies? - RQ3: To what extent are efforts towards FAIR-compliant datasets identifiable in the literature since the principles’ formalization in 2016? By combining bibliometric analysis with a focused assessment of associated datasets and their management, we aim to provide a comprehensive overview of both scientific progress and the persisting data bottleneck. [...]
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2026-01-06 09:03 |
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2026-01-06 08:57 |
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2026-01-06 08:56 |
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2026-01-06 08:54 |
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2026-01-05 21:50 |
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2026-01-05 15:55 |
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