Reduced and mixed precision have moved from a niche optimization to a central design axis in scientific computing and engineering, driven by energy constraints, heterogeneous accelerators, and the convergence of simulation and machine learning. This paper organizes the landscape around seven coupled themes---number for...
E. Agullo, H. Anzt, Daniel Bauer et al.· 0 citations
The benefits of combining the accessibility of an LLM with the epistemic safety of a curated knowledge base through the adaptability of the MCP protocol are illustrated by two use cases involving mathematical models in the fields of continuum mechanics and enzyme kinetics.
Jan Range, B. Schembera, Dominik Göddeke· arXiv.org· 0 citations
This work presents a partitioned coupling approach for electromechanical simulations of skeletal muscles. For the first time, we couple our highly specialized electrophysiology solver, which computes both force generation in muscle cells and action potential propagation in muscle fibers, with an external finite eleme...
Carme Homs-Pons, Yesid Villota-Narvaez, Lalith Kumar Doreti et al.· Proceedings in Applied Mathe...· 0 citations
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