DK
Deifilia Kieckhefen
cs.LGcs.AIcs.DCcs.PFphysics.ao-ph
On Valency
published · living versionsW_sc2pddqk·v1 · currentpublished
4D Parallelism Unlocks Exascale Bayesian Neural Networks for High-Fidelity Atmospheric Modeling
with Juan Pedro Gutiérrez Hermosillo Muriedas, Lars Helge Heyen, Mathis Bode, Iida Hakulinen +10
1 version
Preprints & journals
3 papers in the corpus · 2025–20264D Parallelism Unlocks Exascale Bayesian Neural Networks for High-Fidelity Atmospheric Modeling2609.12815v1 · Deifilia Kieckhefen, Juan Pedro Guti'errez Hermosillo Muriedas, Lars Helge Heyen et al.2026 · 0 citationsarXivon Valency
Energy Consumption in Parallel Neural Network Training2508.07706v1 · Philipp Huber, David Li, Juan Pedro Guti'errez Hermosillo Muriedas et al.2025 · 1 citationarXiv
Jigsaw: Training Multi-Billion-Parameter AI Weather Models with Optimized Model Parallelism2507.05753v1 · Deifilia Kieckhefen, Markus Gotz, Lars H. Heyen et al.2025 · 0 citationsarXiv
Career total: 5 works. 3 are in this corpus.
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