Author

A. Herten

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Preprint Jul 2026

Novel Iterative Construction Methods for the Blocking Job Shop Scheduling Problem

The Blocking Job-Shop Scheduling Problem (BJSSP) arises in modern and complex manufacturing, production, logistics, and service where no intermediate storage is allowed between consecutive operations. This creates a significant challenge for meta-heuristics due to the low ratio of feasible to explored solutions when so...

A. Dabah, Karima Rihane, Hocine Saadi et al. · 0 citations

#artificial intelligence Preprint Sep 2026

4D Parallelism Unlocks Exascale Bayesian Neural Networks for High-Fidelity Atmospheric Modeling

We present BEAST, the first-ever Bayesian Swin Transformer for atmospheric forecasting on 0.25$^\circ$ global resolution able to accurately quantify both aleatoric and epistemic uncertainty. To overcome the associated computational bottlenecks, we devise an orthogonal 4D-parallelization scheme that introduces a unique...

Deifilia Kieckhefen, J. P. G. H. Muriedas, L. Heyen et al. · 0 citations

Preprint Sep 2026

Characterizing the Scalability and Performance of Large-Scale AI Training Under Multi-Tenancy

Characterising AI workload performance on modern HPC systems requires understanding both their scalability in isolation and their behaviour under concurrent execution. However, the interplay among parallelisation strategies, network congestion, compute capability, and interconnect technologies remains poorly understood...

Jacopo Raffi, Thomas Pasquali, Lorenzo Piarulli et al. · 0 citations