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Python-Assisted Development of High-Performance Fortran Codes: A Hybrid Methodology Integrating Symbolic Mathematics and Large Language Models

The development of high-performance Fortran code for large-scale scientific simulations is inherently challenging: direct Fortran implementation demands substantial expertise in numerical methods, optimization and system architecture. Manual derivation of numerical schemes is error-prone and time-co...

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Principais autores: Daniil Tolmachev, Roman Chertovskih
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2026-04-01
Serier:Computation
Fag:
numerical simulations
Python
Fortran
high-performance computing
Online adgang:https://www.mdpi.com/2079-3197/14/4/86
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